Sample records for handwriting recognition system

  1. An online handwriting recognition system for Turkish

    NASA Astrophysics Data System (ADS)

    Vural, Esra; Erdogan, Hakan; Oflazer, Kemal; Yanikoglu, Berrin A.

    2004-12-01

    Despite recent developments in Tablet PC technology, there has not been any applications for recognizing handwritings in Turkish. In this paper, we present an online handwritten text recognition system for Turkish, developed using the Tablet PC interface. However, even though the system is developed for Turkish, the addressed issues are common to online handwriting recognition systems in general. Several dynamic features are extracted from the handwriting data for each recorded point and Hidden Markov Models (HMM) are used to train letter and word models. We experimented with using various features and HMM model topologies, and report on the effects of these experiments. We started with first and second derivatives of the x and y coordinates and relative change in the pen pressure as initial features. We found that using two more additional features, that is, number of neighboring points and relative heights of each point with respect to the base-line improve the recognition rate. In addition, extracting features within strokes and using a skipping state topology improve the system performance as well. The improved system performance is 94% in recognizing handwritten words from a 1000-word lexicon.

  2. An online handwriting recognition system for Turkish

    NASA Astrophysics Data System (ADS)

    Vural, Esra; Erdogan, Hakan; Oflazer, Kemal; Yanikoglu, Berrin A.

    2005-01-01

    Despite recent developments in Tablet PC technology, there has not been any applications for recognizing handwritings in Turkish. In this paper, we present an online handwritten text recognition system for Turkish, developed using the Tablet PC interface. However, even though the system is developed for Turkish, the addressed issues are common to online handwriting recognition systems in general. Several dynamic features are extracted from the handwriting data for each recorded point and Hidden Markov Models (HMM) are used to train letter and word models. We experimented with using various features and HMM model topologies, and report on the effects of these experiments. We started with first and second derivatives of the x and y coordinates and relative change in the pen pressure as initial features. We found that using two more additional features, that is, number of neighboring points and relative heights of each point with respect to the base-line improve the recognition rate. In addition, extracting features within strokes and using a skipping state topology improve the system performance as well. The improved system performance is 94% in recognizing handwritten words from a 1000-word lexicon.

  3. Recognition of Handwriting from Electromyography

    PubMed Central

    Linderman, Michael; Lebedev, Mikhail A.; Erlichman, Joseph S.

    2009-01-01

    Handwriting – one of the most important developments in human culture – is also a methodological tool in several scientific disciplines, most importantly handwriting recognition methods, graphology and medical diagnostics. Previous studies have relied largely on the analyses of handwritten traces or kinematic analysis of handwriting; whereas electromyographic (EMG) signals associated with handwriting have received little attention. Here we show for the first time, a method in which EMG signals generated by hand and forearm muscles during handwriting activity are reliably translated into both algorithm-generated handwriting traces and font characters using decoding algorithms. Our results demonstrate the feasibility of recreating handwriting solely from EMG signals – the finding that can be utilized in computer peripherals and myoelectric prosthetic devices. Moreover, this approach may provide a rapid and sensitive method for diagnosing a variety of neurogenerative diseases before other symptoms become clear. PMID:19707562

  4. Cognitive and artificial representations in handwriting recognition

    NASA Astrophysics Data System (ADS)

    Lenaghan, Andrew P.; Malyan, Ron

    1996-03-01

    Both cognitive processes and artificial recognition systems may be characterized by the forms of representation they build and manipulate. This paper looks at how handwriting is represented in current recognition systems and the psychological evidence for its representation in the cognitive processes responsible for reading. Empirical psychological work on feature extraction in early visual processing is surveyed to show that a sound psychological basis for feature extraction exists and to describe the features this approach leads to. The first stage of the development of an architecture for a handwriting recognition system which has been strongly influenced by the psychological evidence for the cognitive processes and representations used in early visual processing, is reported. This architecture builds a number of parallel low level feature maps from raw data. These feature maps are thresholded and a region labeling algorithm is used to generate sets of features. Fuzzy logic is used to quantify the uncertainty in the presence of individual features.

  5. The writer independent online handwriting recognition system frog on hand and cluster generative statistical dynamic time warping.

    PubMed

    Bahlmann, Claus; Burkhardt, Hans

    2004-03-01

    In this paper, we give a comprehensive description of our writer-independent online handwriting recognition system frog on hand. The focus of this work concerns the presentation of the classification/training approach, which we call cluster generative statistical dynamic time warping (CSDTW). CSDTW is a general, scalable, HMM-based method for variable-sized, sequential data that holistically combines cluster analysis and statistical sequence modeling. It can handle general classification problems that rely on this sequential type of data, e.g., speech recognition, genome processing, robotics, etc. Contrary to previous attempts, clustering and statistical sequence modeling are embedded in a single feature space and use a closely related distance measure. We show character recognition experiments of frog on hand using CSDTW on the UNIPEN online handwriting database. The recognition accuracy is significantly higher than reported results of other handwriting recognition systems. Finally, we describe the real-time implementation of frog on hand on a Linux Compaq iPAQ embedded device.

  6. Offline Arabic handwriting recognition: a survey.

    PubMed

    Lorigo, Liana M; Govindaraju, Venu

    2006-05-01

    The automatic recognition of text on scanned images has enabled many applications such as searching for words in large volumes of documents, automatic sorting of postal mail, and convenient editing of previously printed documents. The domain of handwriting in the Arabic script presents unique technical challenges and has been addressed more recently than other domains. Many different methods have been proposed and applied to various types of images. This paper provides a comprehensive review of these methods. It is the first survey to focus on Arabic handwriting recognition and the first Arabic character recognition survey to provide recognition rates and descriptions of test data for the approaches discussed. It includes background on the field, discussion of the methods, and future research directions.

  7. Improving a HMM-based off-line handwriting recognition system using MME-PSO optimization

    NASA Astrophysics Data System (ADS)

    Hamdani, Mahdi; El Abed, Haikal; Hamdani, Tarek M.; Märgner, Volker; Alimi, Adel M.

    2011-01-01

    One of the trivial steps in the development of a classifier is the design of its architecture. This paper presents a new algorithm, Multi Models Evolvement (MME) using Particle Swarm Optimization (PSO). This algorithm is a modified version of the basic PSO, which is used to the unsupervised design of Hidden Markov Model (HMM) based architectures. For instance, the proposed algorithm is applied to an Arabic handwriting recognizer based on discrete probability HMMs. After the optimization of their architectures, HMMs are trained with the Baum- Welch algorithm. The validation of the system is based on the IfN/ENIT database. The performance of the developed approach is compared to the participating systems at the 2005 competition organized on Arabic handwriting recognition on the International Conference on Document Analysis and Recognition (ICDAR). The final system is a combination between an optimized HMM with 6 other HMMs obtained by a simple variation of the number of states. An absolute improvement of 6% of word recognition rate with about 81% is presented. This improvement is achieved comparing to the basic system (ARAB-IfN). The proposed recognizer outperforms also most of the known state-of-the-art systems.

  8. The A2iA French handwriting recognition system at the Rimes-ICDAR2011 competition

    NASA Astrophysics Data System (ADS)

    Menasri, Farès; Louradour, Jérôme; Bianne-Bernard, Anne-Laure; Kermorvant, Christopher

    2012-01-01

    This paper describes the system for the recognition of French handwriting submitted by A2iA to the competition organized at ICDAR2011 using the Rimes database. This system is composed of several recognizers based on three different recognition technologies, combined using a novel combination method. A framework multi-word recognition based on weighted finite state transducers is presented, using an explicit word segmentation, a combination of isolated word recognizers and a language model. The system was tested both for isolated word recognition and for multi-word line recognition and submitted to the RIMES-ICDAR2011 competition. This system outperformed all previously proposed systems on these tasks.

  9. Character context: a shape descriptor for Arabic handwriting recognition

    NASA Astrophysics Data System (ADS)

    Mudhsh, Mohammed; Almodfer, Rolla; Duan, Pengfei; Xiong, Shengwu

    2017-11-01

    In the handwriting recognition field, designing good descriptors are substantial to obtain rich information of the data. However, the handwriting recognition research of a good descriptor is still an open issue due to unlimited variation in human handwriting. We introduce a "character context descriptor" that efficiently dealt with the structural characteristics of Arabic handwritten characters. First, the character image is smoothed and normalized, then the character context descriptor of 32 feature bins is built based on the proposed "distance function." Finally, a multilayer perceptron with regularization is used as a classifier. On experimentation with a handwritten Arabic characters database, the proposed method achieved a state-of-the-art performance with recognition rate equal to 98.93% and 99.06% for the 66 and 24 classes, respectively.

  10. Off-lexicon online Arabic handwriting recognition using neural network

    NASA Astrophysics Data System (ADS)

    Yahia, Hamdi; Chaabouni, Aymen; Boubaker, Houcine; Alimi, Adel M.

    2017-03-01

    This paper highlights a new method for online Arabic handwriting recognition based on graphemes segmentation. The main contribution of our work is to explore the utility of Beta-elliptic model in segmentation and features extraction for online handwriting recognition. Indeed, our method consists in decomposing the input signal into continuous part called graphemes based on Beta-Elliptical model, and classify them according to their position in the pseudo-word. The segmented graphemes are then described by the combination of geometric features and trajectory shape modeling. The efficiency of the considered features has been evaluated using feed forward neural network classifier. Experimental results using the benchmarking ADAB Database show the performance of the proposed method.

  11. Using online handwriting and audio streams for mathematical expressions recognition: a bimodal approach

    NASA Astrophysics Data System (ADS)

    Medjkoune, Sofiane; Mouchère, Harold; Petitrenaud, Simon; Viard-Gaudin, Christian

    2013-01-01

    The work reported in this paper concerns the problem of mathematical expressions recognition. This task is known to be a very hard one. We propose to alleviate the difficulties by taking into account two complementary modalities. The modalities referred to are handwriting and audio ones. To combine the signals coming from both modalities, various fusion methods are explored. Performances evaluated on the HAMEX dataset show a significant improvement compared to a single modality (handwriting) based system.

  12. The influence of writing practice on letter recognition in preschool children: a comparison between handwriting and typing.

    PubMed

    Longcamp, Marieke; Zerbato-Poudou, Marie-Thérèse; Velay, Jean-Luc

    2005-05-01

    A large body of data supports the view that movement plays a crucial role in letter representation and suggests that handwriting contributes to the visual recognition of letters. If so, changing the motor conditions while children are learning to write by using a method based on typing instead of handwriting should affect their subsequent letter recognition performances. In order to test this hypothesis, we trained two groups of 38 children (aged 3-5 years) to copy letters of the alphabet either by hand or by typing them. After three weeks of learning, we ran two recognition tests, one week apart, to compare the letter recognition performances of the two groups. The results showed that in the older children, the handwriting training gave rise to a better letter recognition than the typing training.

  13. Analyzing handwriting biometrics in metadata context

    NASA Astrophysics Data System (ADS)

    Scheidat, Tobias; Wolf, Franziska; Vielhauer, Claus

    2006-02-01

    In this article, methods for user recognition by online handwriting are experimentally analyzed using a combination of demographic data of users in relation to their handwriting habits. Online handwriting as a biometric method is characterized by having high variations of characteristics that influences the reliance and security of this method. These variations have not been researched in detail so far. Especially in cross-cultural application it is urgent to reveal the impact of personal background to security aspects in biometrics. Metadata represent the background of writers, by introducing cultural, biological and conditional (changing) aspects like fist language, country of origin, gender, handedness, experiences the influence handwriting and language skills. The goal is the revelation of intercultural impacts on handwriting in order to achieve higher security in biometrical systems. In our experiments, in order to achieve a relatively high coverage, 48 different handwriting tasks have been accomplished by 47 users from three countries (Germany, India and Italy) have been investigated with respect to the relations of metadata and biometric recognition performance. For this purpose, hypotheses have been formulated and have been evaluated using the measurement of well-known recognition error rates from biometrics. The evaluation addressed both: system reliance and security threads by skilled forgeries. For the later purpose, a novel forgery type is introduced, which applies the personal metadata to security aspects and includes new methods of security tests. Finally in our paper, we formulate recommendations for specific user groups and handwriting samples.

  14. Synthesis of Common Arabic Handwritings to Aid Optical Character Recognition Research.

    PubMed

    Dinges, Laslo; Al-Hamadi, Ayoub; Elzobi, Moftah; El-Etriby, Sherif

    2016-03-11

    Document analysis tasks such as pattern recognition, word spotting or segmentation, require comprehensive databases for training and validation. Not only variations in writing style but also the used list of words is of importance in the case that training samples should reflect the input of a specific area of application. However, generation of training samples is expensive in the sense of manpower and time, particularly if complete text pages including complex ground truth are required. This is why there is a lack of such databases, especially for Arabic, the second most popular language. However, Arabic handwriting recognition involves different preprocessing, segmentation and recognition methods. Each requires particular ground truth or samples to enable optimal training and validation, which are often not covered by the currently available databases. To overcome this issue, we propose a system that synthesizes Arabic handwritten words and text pages and generates corresponding detailed ground truth. We use these syntheses to validate a new, segmentation based system that recognizes handwritten Arabic words. We found that a modification of an Active Shape Model based character classifiers-that we proposed earlier-improves the word recognition accuracy. Further improvements are achieved, by using a vocabulary of the 50,000 most common Arabic words for error correction.

  15. Synthesis of Common Arabic Handwritings to Aid Optical Character Recognition Research

    PubMed Central

    Dinges, Laslo; Al-Hamadi, Ayoub; Elzobi, Moftah; El-etriby, Sherif

    2016-01-01

    Document analysis tasks such as pattern recognition, word spotting or segmentation, require comprehensive databases for training and validation. Not only variations in writing style but also the used list of words is of importance in the case that training samples should reflect the input of a specific area of application. However, generation of training samples is expensive in the sense of manpower and time, particularly if complete text pages including complex ground truth are required. This is why there is a lack of such databases, especially for Arabic, the second most popular language. However, Arabic handwriting recognition involves different preprocessing, segmentation and recognition methods. Each requires particular ground truth or samples to enable optimal training and validation, which are often not covered by the currently available databases. To overcome this issue, we propose a system that synthesizes Arabic handwritten words and text pages and generates corresponding detailed ground truth. We use these syntheses to validate a new, segmentation based system that recognizes handwritten Arabic words. We found that a modification of an Active Shape Model based character classifiers—that we proposed earlier—improves the word recognition accuracy. Further improvements are achieved, by using a vocabulary of the 50,000 most common Arabic words for error correction. PMID:26978368

  16. Parameter calibration for synthesizing realistic-looking variability in offline handwriting

    NASA Astrophysics Data System (ADS)

    Cheng, Wen; Lopresti, Dan

    2011-01-01

    Motivated by the widely accepted principle that the more training data, the better a recognition system performs, we conducted experiments asking human subjects to do evaluate a mixture of real English handwritten text lines and text lines altered from existing handwriting with various distortion degrees. The idea of generating synthetic handwriting is based on a perturbation method by T. Varga and H. Bunke that distorts an entire text line. There are two purposes of our experiments. First, we want to calibrate distortion parameter settings for Varga and Bunke's perturbation model. Second, we intend to compare the effects of parameter settings on different writing styles: block, cursive and mixed. From the preliminary experimental results, we determined appropriate ranges for parameter amplitude, and found that parameter settings should be altered for different handwriting styles. With the proper parameter settings, it should be possible to generate large amount of training and testing data for building better off-line handwriting recognition systems.

  17. Use of Handwriting Recognition Technologies in Tablet-Based Learning Modules for First Grade Education

    ERIC Educational Resources Information Center

    Yanikoglu, Berrin; Gogus, Aytac; Inal, Emre

    2017-01-01

    Learning through modules on a tablet helps students participate effectively in learning activities in classrooms and provides flexibility in the learning process. This study presents the design and evaluation of an application that is based on handwriting recognition technologies and e-content for the developed learning modules. The application…

  18. The Kritzel System for handwriting interpretation

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Qian, G.

    We present a new system for recognizing on-line cursive handwriting. The system, which is called the Kritzel System, has four features. First, the system characterizes handwriting as a sequence of feature vectors. Second, the system adapts to a particular writing style itself through a learning process. Third, the reasoning of the system is formulated in propositional logic with likelihoods. Fourth, the system can be readily linked with other English processing systems for lexical and contextual checking.

  19. Exploring multiple feature combination strategies with a recurrent neural network architecture for off-line handwriting recognition

    NASA Astrophysics Data System (ADS)

    Mioulet, L.; Bideault, G.; Chatelain, C.; Paquet, T.; Brunessaux, S.

    2015-01-01

    The BLSTM-CTC is a novel recurrent neural network architecture that has outperformed previous state of the art algorithms in tasks such as speech recognition or handwriting recognition. It has the ability to process long term dependencies in temporal signals in order to label unsegmented data. This paper describes different ways of combining features using a BLSTM-CTC architecture. Not only do we explore the low level combination (feature space combination) but we also explore high level combination (decoding combination) and mid-level (internal system representation combination). The results are compared on the RIMES word database. Our results show that the low level combination works best, thanks to the powerful data modeling of the LSTM neurons.

  20. An Autonomous Learning System of Bengali Characters Using Web-Based Intelligent Handwriting Recognition

    ERIC Educational Resources Information Center

    Khatun, Nazma; Miwa, Jouji

    2016-01-01

    This research project was aimed to develop an intelligent Bengali handwriting education system to improve the literacy level in Bangladesh. Due to the socio-economical limitation, all of the population does not have the chance to go to school. Here, we developed a prototype of web-based (iPhone/smartphone or computer browser) intelligent…

  1. FIR signature verification system characterizing dynamics of handwriting features

    NASA Astrophysics Data System (ADS)

    Thumwarin, Pitak; Pernwong, Jitawat; Matsuura, Takenobu

    2013-12-01

    This paper proposes an online signature verification method based on the finite impulse response (FIR) system characterizing time-frequency characteristics of dynamic handwriting features. First, the barycenter determined from both the center point of signature and two adjacent pen-point positions in the signing process, instead of one pen-point position, is used to reduce the fluctuation of handwriting motion. In this paper, among the available dynamic handwriting features, motion pressure and area pressure are employed to investigate handwriting behavior. Thus, the stable dynamic handwriting features can be described by the relation of the time-frequency characteristics of the dynamic handwriting features. In this study, the aforesaid relation can be represented by the FIR system with the wavelet coefficients of the dynamic handwriting features as both input and output of the system. The impulse response of the FIR system is used as the individual feature for a particular signature. In short, the signature can be verified by evaluating the difference between the impulse responses of the FIR systems for a reference signature and the signature to be verified. The signature verification experiments in this paper were conducted using the SUBCORPUS MCYT-100 signature database consisting of 5,000 signatures from 100 signers. The proposed method yielded equal error rate (EER) of 3.21% on skilled forgeries.

  2. Android application for handwriting segmentation using PerTOHS theory

    NASA Astrophysics Data System (ADS)

    Akouaydi, Hanen; Njah, Sourour; Alimi, Adel M.

    2017-03-01

    The paper handles the problem of segmentation of handwriting on mobile devices. Many applications have been developed in order to facilitate the recognition of handwriting and to skip the limited numbers of keys in keyboards and try to introduce a space of drawing for writing instead of using keyboards. In this one, we will present a mobile theory for the segmentation of for handwriting uses PerTOHS theory, Perceptual Theory of On line Handwriting Segmentation, where handwriting is defined as a sequence of elementary and perceptual codes. In fact, the theory analyzes the written script and tries to learn the handwriting visual codes features in order to generate new ones via the generated perceptual sequences. To get this classification we try to apply the Beta-elliptic model, fuzzy detector and also genetic algorithms in order to get the EPCs (Elementary Perceptual Codes) and GPCs (Global Perceptual Codes) that composed the script. So, we will present our Android application M-PerTOHS for segmentation of handwriting.

  3. Computer-assisted handwriting style identification system for questioned document examination

    NASA Astrophysics Data System (ADS)

    Cha, Sung-Hyuk; Yoon, Sungsoo; Tappert, Charles C.; Lee, Yillbyung

    2005-03-01

    Handwriting originates from a particular copybook style such as Palmer or Zaner-Bloser that one learns in childhood. Since questioned document examination plays an important investigative and forensic role in many types of crime, it is important to develop a system that helps objectively identify a questioned document"s handwriting style. Here, we propose a computer vision system that can assist a document examiner in the identification of a writer"s handwriting style and therefore the origin or nationality of an unknown writer of a questioned document. We collected 33 Roman alphabet copybook styles from 18 countries. Each character in a questioned document is segmented and matched against all of the 33 handwriting copybook styles. The more characters present in the questioned document, the higher the accuracy observed.

  4. Kannada character recognition system using neural network

    NASA Astrophysics Data System (ADS)

    Kumar, Suresh D. S.; Kamalapuram, Srinivasa K.; Kumar, Ajay B. R.

    2013-03-01

    Handwriting recognition has been one of the active and challenging research areas in the field of pattern recognition. It has numerous applications which include, reading aid for blind, bank cheques and conversion of any hand written document into structural text form. As there is no sufficient number of works on Indian language character recognition especially Kannada script among 15 major scripts in India. In this paper an attempt is made to recognize handwritten Kannada characters using Feed Forward neural networks. A handwritten Kannada character is resized into 20x30 Pixel. The resized character is used for training the neural network. Once the training process is completed the same character is given as input to the neural network with different set of neurons in hidden layer and their recognition accuracy rate for different Kannada characters has been calculated and compared. The results show that the proposed system yields good recognition accuracy rates comparable to that of other handwritten character recognition systems.

  5. Handwriting Classification in Forensic Science.

    ERIC Educational Resources Information Center

    Ansell, Michael

    1979-01-01

    Considers systems for the classification of handwriting features, discusses computer storage of information about handwriting features, and summarizes recent studies that give an idea of the range of forensic handwriting research. (GT)

  6. Online medical symbol recognition using a Tablet PC

    NASA Astrophysics Data System (ADS)

    Kundu, Amlan; Hu, Qian; Boykin, Stanley; Clark, Cheryl; Fish, Randy; Jones, Stephen; Moore, Stephen

    2011-01-01

    In this paper we describe a scheme to enhance the usability of a Tablet PC's handwriting recognition system by including medical symbols that are not a part of the Tablet PC's symbol library. The goal of this work is to make handwriting recognition more useful for medical professionals accustomed to using medical symbols in medical records. To demonstrate that this new symbol recognition module is robust and expandable, we report results on both a medical symbol set and an expanded symbol test set which includes selected mathematical symbols.

  7. Segmental Rescoring in Text Recognition

    DTIC Science & Technology

    2014-02-04

    description relates to rescoring text hypotheses in text recognition based on segmental features. Offline printed text and handwriting recognition (OHR) can... Handwriting , College Park, Md., 2006, which is incorporated by reference here. For the set of training images 202, a character modeler 208 receives

  8. Hidden Markov models for character recognition.

    PubMed

    Vlontzos, J A; Kung, S Y

    1992-01-01

    A hierarchical system for character recognition with hidden Markov model knowledge sources which solve both the context sensitivity problem and the character instantiation problem is presented. The system achieves 97-99% accuracy using a two-level architecture and has been implemented using a systolic array, thus permitting real-time (1 ms per character) multifont and multisize printed character recognition as well as handwriting recognition.

  9. Nonlinear and non-Gaussian Bayesian based handwriting beautification

    NASA Astrophysics Data System (ADS)

    Shi, Cao; Xiao, Jianguo; Xu, Canhui; Jia, Wenhua

    2013-03-01

    A framework is proposed in this paper to effectively and efficiently beautify handwriting by means of a novel nonlinear and non-Gaussian Bayesian algorithm. In the proposed framework, format and size of handwriting image are firstly normalized, and then typeface in computer system is applied to optimize vision effect of handwriting. The Bayesian statistics is exploited to characterize the handwriting beautification process as a Bayesian dynamic model. The model parameters to translate, rotate and scale typeface in computer system are controlled by state equation, and the matching optimization between handwriting and transformed typeface is employed by measurement equation. Finally, the new typeface, which is transformed from the original one and gains the best nonlinear and non-Gaussian optimization, is the beautification result of handwriting. Experimental results demonstrate the proposed framework provides a creative handwriting beautification methodology to improve visual acceptance.

  10. Development of Individuality in Children's Handwriting.

    PubMed

    Srihari, Sargur N; Meng, Lu; Hanson, Lisa

    2016-09-01

    Handwriting of children in early grades is studied from the viewpoint of quantitatively measuring the development of handwriting individuality. Handwriting samples of children, in grades 2-4, writing a paragraph of text in both handprinted and cursive, collected over a period of 3 years, were analyzed using two different approaches: (i) characteristics of the word "and" and (ii) entire paragraphs using an automated system. In the first approach, word characteristics were analyzed using statistical measures. In the second approach, pairs of paragraphs were compared. Both types of analysis, single word and complete writing, led to the same conclusions: (i) handwriting of each child remains relatively similar when handwriting has been just learnt and becomes markedly different from grades 3 to 4 and (ii) handwriting of different children becomes progressively more different from grades 2 to 4. The results provide strong support that handwriting becomes more individualistic with child development. © 2016 American Academy of Forensic Sciences.

  11. Lexical orthography acquisition: Is handwriting better than spelling aloud?

    PubMed Central

    Bosse, Marie-Line; Chaves, Nathalie; Valdois, Sylviane

    2014-01-01

    Lexical orthography acquisition is currently described as the building of links between the visual forms and the auditory forms of whole words. However, a growing body of data suggests that a motor component could further be involved in orthographic acquisition. A few studies support the idea that reading plus handwriting is a better lexical orthographic learning situation than reading alone. However, these studies did not explore which of the cognitive processes involved in handwriting enhanced lexical orthographic acquisition. Some findings suggest that the specific movements memorized when learning to write may participate in the establishment of orthographic representations in memory. The aim of the present study was to assess this hypothesis using handwriting and spelling aloud as two learning conditions. In two experiments, fifth graders were asked to read complex pseudo-words embedded in short sentences. Immediately after reading, participants had to recall the pseudo-words' spellings either by spelling them aloud or by handwriting them down. One week later, orthographic acquisition was tested using two post-tests: a pseudo-word production task (spelling by hand in Experiment 1 or spelling aloud in Experiment 2) and a pseudo-word recognition task. Results showed no significant difference in pseudo-word recognition between the two learning conditions. In the pseudo-word production task, orthography learning improved when the learning and post-test conditions were similar, thus showing a massive encoding-retrieval match effect in the two experiments. However, a mixed model analysis of the pseudo-word production results revealed a significant learning condition effect which remained after control of the encoding-retrieval match effect. This later finding suggests that orthography learning is more efficient when mediated by handwriting than by spelling aloud, whatever the post-test production task. PMID:24575058

  12. Lexical orthography acquisition: Is handwriting better than spelling aloud?

    PubMed

    Bosse, Marie-Line; Chaves, Nathalie; Valdois, Sylviane

    2014-01-01

    Lexical orthography acquisition is currently described as the building of links between the visual forms and the auditory forms of whole words. However, a growing body of data suggests that a motor component could further be involved in orthographic acquisition. A few studies support the idea that reading plus handwriting is a better lexical orthographic learning situation than reading alone. However, these studies did not explore which of the cognitive processes involved in handwriting enhanced lexical orthographic acquisition. Some findings suggest that the specific movements memorized when learning to write may participate in the establishment of orthographic representations in memory. The aim of the present study was to assess this hypothesis using handwriting and spelling aloud as two learning conditions. In two experiments, fifth graders were asked to read complex pseudo-words embedded in short sentences. Immediately after reading, participants had to recall the pseudo-words' spellings either by spelling them aloud or by handwriting them down. One week later, orthographic acquisition was tested using two post-tests: a pseudo-word production task (spelling by hand in Experiment 1 or spelling aloud in Experiment 2) and a pseudo-word recognition task. Results showed no significant difference in pseudo-word recognition between the two learning conditions. In the pseudo-word production task, orthography learning improved when the learning and post-test conditions were similar, thus showing a massive encoding-retrieval match effect in the two experiments. However, a mixed model analysis of the pseudo-word production results revealed a significant learning condition effect which remained after control of the encoding-retrieval match effect. This later finding suggests that orthography learning is more efficient when mediated by handwriting than by spelling aloud, whatever the post-test production task.

  13. Machine printed text and handwriting identification in noisy document images.

    PubMed

    Zheng, Yefeng; Li, Huiping; Doermann, David

    2004-03-01

    In this paper, we address the problem of the identification of text in noisy document images. We are especially focused on segmenting and identifying between handwriting and machine printed text because: 1) Handwriting in a document often indicates corrections, additions, or other supplemental information that should be treated differently from the main content and 2) the segmentation and recognition techniques requested for machine printed and handwritten text are significantly different. A novel aspect of our approach is that we treat noise as a separate class and model noise based on selected features. Trained Fisher classifiers are used to identify machine printed text and handwriting from noise and we further exploit context to refine the classification. A Markov Random Field-based (MRF) approach is used to model the geometrical structure of the printed text, handwriting, and noise to rectify misclassifications. Experimental results show that our approach is robust and can significantly improve page segmentation in noisy document collections.

  14. Questioned document workflow for handwriting with automated tools

    NASA Astrophysics Data System (ADS)

    Das, Krishnanand; Srihari, Sargur N.; Srinivasan, Harish

    2012-01-01

    During the last few years many document recognition methods have been developed to determine whether a handwriting specimen can be attributed to a known writer. However, in practice, the work-flow of the document examiner continues to be manual-intensive. Before a systematic or computational, approach can be developed, an articulation of the steps involved in handwriting comparison is needed. We describe the work flow of handwritten questioned document examination, as described in a standards manual, and the steps where existing automation tools can be used. A well-known ransom note case is considered as an example, where one encounters testing for multiple writers of the same document, determining whether the writing is disguised, known writing is formal while questioned writing is informal, etc. The findings for the particular ransom note case using the tools are given. Also observations are made for developing a more fully automated approach to handwriting examination.

  15. Combining approaches to on-line handwriting information retrieval

    NASA Astrophysics Data System (ADS)

    Peña Saldarriaga, Sebastián; Viard-Gaudin, Christian; Morin, Emmanuel

    2010-01-01

    In this work, we propose to combine two quite different approaches for retrieving handwritten documents. Our hypothesis is that different retrieval algorithms should retrieve different sets of documents for the same query. Therefore, significant improvements in retrieval performances can be expected. The first approach is based on information retrieval techniques carried out on the noisy texts obtained through handwriting recognition, while the second approach is recognition-free using a word spotting algorithm. Results shows that for texts having a word error rate (WER) lower than 23%, the performances obtained with the combined system are close to the performances obtained on clean digital texts. In addition, for poorly recognized texts (WER > 52%), an improvement of nearly 17% can be observed with respect to the best available baseline method.

  16. Electrooculography-based continuous eye-writing recognition system for efficient assistive communication systems

    PubMed Central

    Shinozaki, Takahiro

    2018-01-01

    Human-computer interface systems whose input is based on eye movements can serve as a means of communication for patients with locked-in syndrome. Eye-writing is one such system; users can input characters by moving their eyes to follow the lines of the strokes corresponding to characters. Although this input method makes it easy for patients to get started because of their familiarity with handwriting, existing eye-writing systems suffer from slow input rates because they require a pause between input characters to simplify the automatic recognition process. In this paper, we propose a continuous eye-writing recognition system that achieves a rapid input rate because it accepts characters eye-written continuously, with no pauses. For recognition purposes, the proposed system first detects eye movements using electrooculography (EOG), and then a hidden Markov model (HMM) is applied to model the EOG signals and recognize the eye-written characters. Additionally, this paper investigates an EOG adaptation that uses a deep neural network (DNN)-based HMM. Experiments with six participants showed an average input speed of 27.9 character/min using Japanese Katakana as the input target characters. A Katakana character-recognition error rate of only 5.0% was achieved using 13.8 minutes of adaptation data. PMID:29425248

  17. Validation of the Chinese Handwriting Analysis System (CHAS) for primary school students in Hong Kong.

    PubMed

    Li-Tsang, Cecilia W P; Wong, Agnes S K; Leung, Howard W H; Cheng, Joyce S; Chiu, Billy H W; Tse, Linda F L; Chung, Raymond C K

    2013-09-01

    There are more children diagnosed with specific learning difficulties in recent years as people are more aware of these conditions. Diagnostic tool has been validated to screen out this condition from the population (SpLD test for Hong Kong children). However, for specific assessment on handwriting problem, there seems a lack of standardized and objective evaluation tool to look into the problems. The objective of this study was to validate the Chinese Handwriting Analysis System (CHAS), which is designed to measure both the process and production of handwriting. The construct validity, convergent validity, internal consistency and test-retest reliability of CHAS was analyzed using the data from 734 grade 1-6 students from 6 primary schools in Hong Kong. Principal Component Analysis revealed that measurements of CHAS loaded into 4 components which accounted for 77.73% of the variance. The correlation between the handwriting accuracy obtained from HAS and eyeballing was r=.73. Cronbach's alpha of all measurement items was .65. Except SD of writing time per character, all the measurement items regarding handwriting speed, handwriting accuracy and pen pressure showed good to excellent test-retest reliability (r=.72-.96), while measurement on the numbers of characters which exceeded grid showed moderate reliability (r=.48). Although there are still ergonomic, biomechanical or unspecified aspects which may not be determined by the system, the CHAS can definitely assist therapists in identifying primary school students with handwriting problems and implement interventions accordingly. Copyright © 2013 Elsevier Ltd. All rights reserved.

  18. Probabilistic modeling of children's handwriting

    NASA Astrophysics Data System (ADS)

    Puri, Mukta; Srihari, Sargur N.; Hanson, Lisa

    2013-12-01

    There is little work done in the analysis of children's handwriting, which can be useful in developing automatic evaluation systems and in quantifying handwriting individuality. We consider the statistical analysis of children's handwriting in early grades. Samples of handwriting of children in Grades 2-4 who were taught the Zaner-Bloser style were considered. The commonly occurring word "and" written in cursive style as well as hand-print were extracted from extended writing. The samples were assigned feature values by human examiners using a truthing tool. The human examiners looked at how the children constructed letter formations in their writing, looking for similarities and differences from the instructions taught in the handwriting copy book. These similarities and differences were measured using a feature space distance measure. Results indicate that the handwriting develops towards more conformity with the class characteristics of the Zaner-Bloser copybook which, with practice, is the expected result. Bayesian networks were learnt from the data to enable answering various probabilistic queries, such as determining students who may continue to produce letter formations as taught during lessons in school and determining the students who will develop a different and/or variation of the those letter formations and the number of different types of letter formations.

  19. Handwriting in Lebanese Bigraphic Children: Standardization of the BHK Scale

    ERIC Educational Resources Information Center

    Matta Abizeid, Carla; Tabsh Nakib, Amira; Younès Harb, Céleste; Ghantous Faddoul, Shereen; Albaret, Jean-Michel

    2017-01-01

    Educational systems in Lebanon are bilingual. They simultaneously impose two handwriting systems in Arabic and Latin. This historically driven situation could constitute a significant impact on the process and development of handwriting skills. Using an accurate and valid handwriting evaluation tool standardized for the Lebanese population is a…

  20. A Set of Handwriting Features for Use in Automated Writer Identification.

    PubMed

    Miller, John J; Patterson, Robert Bradley; Gantz, Donald T; Saunders, Christopher P; Walch, Mark A; Buscaglia, JoAnn

    2017-05-01

    A writer's biometric identity can be characterized through the distribution of physical feature measurements ("writer's profile"); a graph-based system that facilitates the quantification of these features is described. To accomplish this quantification, handwriting is segmented into basic graphical forms ("graphemes"), which are "skeletonized" to yield the graphical topology of the handwritten segment. The graph-based matching algorithm compares the graphemes first by their graphical topology and then by their geometric features. Graphs derived from known writers can be compared against graphs extracted from unknown writings. The process is computationally intensive and relies heavily upon statistical pattern recognition algorithms. This article focuses on the quantification of these physical features and the construction of the associated pattern recognition methods for using the features to discriminate among writers. The graph-based system described in this article has been implemented in a highly accurate and approximately language-independent biometric recognition system of writers of cursive documents. © 2017 American Academy of Forensic Sciences.

  1. The use of handwriting examinations beyond the traditional court purpose.

    PubMed

    Agius, Anna; Jones, Kylie; Epple, Rochelle; Morelato, Marie; Moret, Sébastien; Chadwick, Scott; Roux, Claude

    2017-09-01

    Traditionally, forensic science has predominantly focused its resources and objectives on addressing court related questions. However, this view restricts the contribution of forensic science to one function and results in lost opportunities as investigative and intelligence roles are often overlooked. A change of perspective and expansion of the contributions of forensic science is required to take advantage of the benefits of abductive and inductive thought processes throughout the investigative and intelligence functions. One forensic discipline that has the potential to broaden its traditional focus is handwriting examination. Typically used in investigations that are focused on both criminal and civil cases, the examination procedure and outcome are time consuming and subjective, requiring a detailed study of the features of the handwriting in question. Traditionally, the major handwriting features exploited are characteristics that are often considered individual (or at least highly polymorphic) and habitual. However, handwriting can be considered as an information vector in an intelligence framework. One such example is the recognition of key elements related to the author's native language. This paper discusses the traditional method generally used around the world and proposes a theoretical approach to expand the application of handwriting examination towards gaining additional information for intelligence purposes. This concept will be designed and tested in a future research project. Copyright © 2017 The Chartered Society of Forensic Sciences. All rights reserved.

  2. Salient Feature Identification and Analysis using Kernel-Based Classification Techniques for Synthetic Aperture Radar Automatic Target Recognition

    DTIC Science & Technology

    2014-03-27

    and machine learning for a range of research including such topics as medical imaging [10] and handwriting recognition [11]. The type of feature...1989. [11] C. Bahlmann, B. Haasdonk, and H. Burkhardt, “Online handwriting recognition with support vector machines-a kernel approach,” in Eighth...International Workshop on Frontiers in Handwriting Recognition, pp. 49–54, IEEE, 2002. [12] C. Cortes and V. Vapnik, “Support-vector networks,” Machine

  3. Online recognition of Chinese characters: the state-of-the-art.

    PubMed

    Liu, Cheng-Lin; Jaeger, Stefan; Nakagawa, Masaki

    2004-02-01

    Online handwriting recognition is gaining renewed interest owing to the increase of pen computing applications and new pen input devices. The recognition of Chinese characters is different from western handwriting recognition and poses a special challenge. To provide an overview of the technical status and inspire future research, this paper reviews the advances in online Chinese character recognition (OLCCR), with emphasis on the research works from the 1990s. Compared to the research in the 1980s, the research efforts in the 1990s aimed to further relax the constraints of handwriting, namely, the adherence to standard stroke orders and stroke numbers and the restriction of recognition to isolated characters only. The target of recognition has shifted from regular script to fluent script in order to better meet the requirements of practical applications. The research works are reviewed in terms of pattern representation, character classification, learning/adaptation, and contextual processing. We compare important results and discuss possible directions of future research.

  4. Encoding in the visual word form area: an fMRI adaptation study of words versus handwriting.

    PubMed

    Barton, Jason J S; Fox, Christopher J; Sekunova, Alla; Iaria, Giuseppe

    2010-08-01

    Written texts are not just words but complex multidimensional stimuli, including aspects such as case, font, and handwriting style, for example. Neuropsychological reports suggest that left fusiform lesions can impair the reading of text for word (lexical) content, being associated with alexia, whereas right-sided lesions may impair handwriting recognition. We used fMRI adaptation in 13 healthy participants to determine if repetition-suppression occurred for words but not handwriting in the left visual word form area (VWFA) and the reverse in the right fusiform gyrus. Contrary to these expectations, we found adaptation for handwriting but not for words in both the left VWFA and the right VWFA homologue. A trend to adaptation for words but not handwriting was seen only in the left middle temporal gyrus. An analysis of anterior and posterior subdivisions of the left VWFA also failed to show any adaptation for words. We conclude that the right and the left fusiform gyri show similar patterns of adaptation for handwriting, consistent with a predominantly perceptual contribution to text processing.

  5. Handwriting difficulties in children with autism spectrum disorders: a scoping review.

    PubMed

    Kushki, Azadeh; Chau, Tom; Anagnostou, Evdokia

    2011-12-01

    Functional handwriting involves complex interactions among physical, cognitive and sensory systems. Impairments in many aspects of these systems are associated with Autism spectrum disorders (ASD), suggesting a heightened risk of handwriting difficulties in children with ASD. This scoping review aimed to: (1) survey the existing evidence about potential contributions to compromised handwriting function in children with ASD, and (2) map out the existing studies documenting handwriting difficulties in children with ASD. The current evidence implicates impairments in fine motor control and visual-motor integration as likely contributors to handwriting difficulties in children with ASD, though the role of the latter is not well-understood. Moreover, diminished overall legibility and compromised letter formation are emerging points of convergence among existing studies of handwriting quality in children with ASD.

  6. Discriminatory power of handwriting

    NASA Astrophysics Data System (ADS)

    Srihari, Sargur N.; Cha, Sung-Hyuk; Lee, Sangjik

    2001-12-01

    A study was undertaken to determine the power of handwriting to distinguish between individuals. Handwriting samples of one thousand five hundred individuals, representative of the US population with respect to gender, age, ethnic groups, etc., were obtained. Analyzing differences in handwriting was done by using computer algorithms for extracting features from scanned images of handwriting. Attributes characteristic of the handwriting were obtained, e.g., line separation, slant, character shapes, etc. These attributes, which are a subset of attributes used by expert document examiners, were used to quantitatively establish individuality by using machine learning approaches. Using global attributes of hadwriting and very few characters in the writing, the ability to determine the writer with a high degree of confidence was established. The work is a step towards providing scientific support for admitting handwriting evidence in court. The mathematical approach and the resulting software also have the promise of aiding the expert document examiner.

  7. Teaching Handwriting Skills to Children with Intellectual Disabilities Using an Adapted Handwriting Programme

    ERIC Educational Resources Information Center

    Grindle, Corinna F.; Cianfaglione, Rina; Corbel, Liz; Wormald, Emily V.; Brown, Freddy Jackson; Hastings, Richard P.; Hughes, J. Carl

    2017-01-01

    Children with intellectual disabilities often struggle with handwriting, but there is very little research to inform intervention approaches. In this study, we developed a teaching manual based on Handwriting Without Tears®, a comprehensive handwriting programme designed for typically developing children. Three children with intellectual…

  8. Handwriting development, competency, and intervention.

    PubMed

    Feder, Katya P; Majnemer, Annette

    2007-04-01

    Failure to attain handwriting competency during the school-age years often has far-reaching negative effects on both academic success and self-esteem. This complex occupational task has many underlying component skills that may interfere with handwriting performance. Fine motor control, bilateral and visual-motor integration, motor planning, in-hand manipulation, proprioception, visual perception, sustained attention, and sensory awareness of the fingers are some of the component skills identified. Poor handwriting may be related to intrinsic factors, which refer to the child's actual handwriting capabilities, or extrinsic factors which are related to environmental or biomechanical components, or both. It is important that handwriting performance be evaluated using a valid, reliable, standardized tool combined with informal classroom observation and teacher consultation. Studies of handwriting remediation suggest that intervention is effective. There is evidence to indicate that handwriting difficulties do not resolve without intervention and affect between 10 and 30% of school-aged children. Despite the widespread use of computers, legible handwriting remains an important life skill that deserves greater attention from educators and health practitioners.

  9. Effects on Learning Logographic Character Formation in Computer-Assisted Handwriting Instruction

    ERIC Educational Resources Information Center

    Tsai, Chen-hui; Kuo, Chin-Hwa; Horng, Wen-Bing; Chen, Chun-Wen

    2012-01-01

    This paper reports on a study that investigates how different learning methods might affect the learning process of character handwriting among beginning college learners of Chinese, as measured by tests of recognition, approximate production, precise production, and awareness of conventional stroke sequence. Two methodologies were examined during…

  10. A comparison of 1D and 2D LSTM architectures for the recognition of handwritten Arabic

    NASA Astrophysics Data System (ADS)

    Yousefi, Mohammad Reza; Soheili, Mohammad Reza; Breuel, Thomas M.; Stricker, Didier

    2015-01-01

    In this paper, we present an Arabic handwriting recognition method based on recurrent neural network. We use the Long Short Term Memory (LSTM) architecture, that have proven successful in different printed and handwritten OCR tasks. Applications of LSTM for handwriting recognition employ the two-dimensional architecture to deal with the variations in both vertical and horizontal axis. However, we show that using a simple pre-processing step that normalizes the position and baseline of letters, we can make use of 1D LSTM, which is faster in learning and convergence, and yet achieve superior performance. In a series of experiments on IFN/ENIT database for Arabic handwriting recognition, we demonstrate that our proposed pipeline can outperform 2D LSTM networks. Furthermore, we provide comparisons with 1D LSTM networks trained with manually crafted features to show that the automatically learned features in a globally trained 1D LSTM network with our normalization step can even outperform such systems.

  11. Efficacy of an explicit handwriting program.

    PubMed

    Kaiser, Marie-Laure; Albaret, Jean-Michel; Doudin, Pierre-André

    2011-04-01

    The aim of this study was to investigate the effects of an explicit handwriting program introduced during the first grade of elementary school. Grade 1 children (N=23) with an age range of 6.1 to 7.4 yr. (15 girls, 8 boys) were administered an additional handwriting program of two weekly sessions of 45 min. over six weeks. Another group of 19 Grade 1 children (11 girls, 8 boys) received only the regular handwriting program of one weekly session. The Concise Assessment Scale for Children's Handwriting was administered to measure the changes in quality and speed of handwriting. The children given the explicit program showed better quality and speed of handwriting than did the control group. Their handwriting was more regular, with fewer ambiguous letters and fewer incorrect relative heights.

  12. Promoting Handwriting Fluency in Fifth Graders with Slow Handwriting: A Single-Subject Design Study

    ERIC Educational Resources Information Center

    Limpo, Teresa; Parente, Naiana; Alves, Rui A.

    2018-01-01

    This study used a multiple-probe design across three participants to test the effectiveness of a handwriting intervention for fifth graders (age 10-11) displaying less handwriting fluency than their peers, but without spelling disorders. The 5-h handwriting intervention provided students with explicit instruction and intensive practice in writing…

  13. On the development of a computer-based handwriting assessment tool to objectively quantify handwriting proficiency in children.

    PubMed

    Falk, Tiago H; Tam, Cynthia; Schellnus, Heidi; Chau, Tom

    2011-12-01

    Standardized writing assessments such as the Minnesota Handwriting Assessment (MHA) can inform interventions for handwriting difficulties, which are prevalent among school-aged children. However, these tests usually involve the laborious task of subjectively rating the legibility of the written product, precluding their practical use in some clinical and educational settings. This study describes a portable computer-based handwriting assessment tool to objectively measure MHA quality scores and to detect handwriting difficulties in children. Several measures are proposed based on spatial, temporal, and grip force measurements obtained from a custom-built handwriting instrument. Thirty-five first and second grade students participated in the study, nine of whom exhibited handwriting difficulties. Students performed the MHA test and were subjectively scored based on speed and handwriting quality using five primitives: legibility, form, alignment, size, and space. Several spatial parameters are shown to correlate significantly (p<0.001) with subjective scores obtained for alignment, size, space, and form. Grip force and temporal measures, in turn, serve as useful indicators of handwriting legibility and speed, respectively. Using only size and space parameters, promising discrimination between proficient and non-proficient handwriting can be achieved. Copyright © 2010 Elsevier Ireland Ltd. All rights reserved.

  14. Handwriting as an operant

    NASA Technical Reports Server (NTRS)

    Gonzalez, F. A.; Waller, M. B.

    1974-01-01

    Description of a writing console which was used for monitoring handwriting behavior. The main feature of the console is a translucent Plexiglass paddle, pivoted on a thin bronze tube, with its top flat surface providing the writing surface. The console was used in experiments on two subjects under various schedules of monetary reinforcement for handwriting. The results suggest that handwriting is an effective approach to the analysis of human behavior.

  15. The Influence of Chinese Character Handwriting Diagnosis and Remedial Instruction System on Learners of Chinese as a Foreign Language

    ERIC Educational Resources Information Center

    Hsiao, Hsien-Sheng; Chang, Cheng-Sian; Chen, Chiao-Jia; Wu, Chia-Hou; Lin, Chien-Yu

    2015-01-01

    This study designed and developed a Chinese character handwriting diagnosis and remedial instruction (CHDRI) system to improve Chinese as a foreign language (CFL) learners' ability to write Chinese characters. The CFL learners were given two tests based on the CHDRI system. One test focused on Chinese character handwriting to diagnose the CFL…

  16. Using perturbed handwriting to support writer identification in the presence of severe data constraints

    NASA Astrophysics Data System (ADS)

    Chen, Jin; Cheng, Wen; Lopresti, Daniel

    2011-01-01

    Since real data is time-consuming and expensive to collect and label, researchers have proposed approaches using synthetic variations for the tasks of signature verification, speaker authentication, handwriting recognition, keyword spotting, etc. However, the limitation of real data is particularly critical in the field of writer identification in that in forensics, adversaries cannot be expected to provide sufficient data to train a classifier. Therefore, it is unrealistic to always assume sufficient real data to train classifiers extensively for writer identification. In addition, this field differs from many others in that we strive to preserve as much inter-writer variations, but model-perturbed handwriting might break such discriminability among writers. Building on work described in another paper where human subjects were involved in calibrating realistic-looking transformation, we then measured the effects of incorporating perturbed handwriting into the training dataset. Experimental results justified our hypothesis that with limited real data, model-perturbed handwriting improved the performance of writer identification. Particularly, if only one single sample for each writer was available, incorporating perturbed data achieved a 36x performance gain.

  17. Graphonomics, Automaticity and Handwriting Assessment

    ERIC Educational Resources Information Center

    Tucha, Oliver; Tucha, Lara; Lange, Klaus W.

    2008-01-01

    A recent review of handwriting research in "Literacy" concluded that current curricula of handwriting education focus too much on writing style and neatness and neglect the aspect of handwriting automaticity. This conclusion is supported by evidence in the field of graphonomic research, where a range of experiments have been used to investigate…

  18. Research on Handwriting and Spelling.

    ERIC Educational Resources Information Center

    Horn, Thomas D., Ed.

    In this collection of articles, the results of recent research in handwriting and spelling are reported and evaluated in the perspective of studies done over the past 50 years. The articles included are "Handwriting and Spelling: Their Current Status in the Language Arts Curriculum,""Handwriting Research" ("Movement and Quality" and "Style and…

  19. Effects of neoprene wrist/hand splints on handwriting for students with joint hypermobility syndrome: a single system design study.

    PubMed

    Frohlich, Lauren; Wesley, Alison; Wallen, Margaret; Bundy, Anita

    2012-08-01

    Pain associated with hypermobility of wrist and hand joints can contribute to decreased handwriting output. This study examined the effectiveness of a neoprene wrist/hand splint in reducing pain and increasing handwriting speed and endurance for students with joint hypermobility syndrome. Multiple baseline, single system design (SSD) methodology was used. Four ninth grade students with handwriting difficulties because of joint hypermobility syndrome participated in this study. Visual and statistical (two standard deviation band method) analyses indicated a significant decrease in handwriting speed when using the splint for three out of four participants. No significant change in pain or endurance was noted during intervention. There was a significant decrease in pain following withdrawal of the splint for three participants. Evidence from this study does not support use of this particular splint for decreasing pain and increasing handwriting speed and endurance for ninth grade students with joint hypermobility syndrome.

  20. Handwriting--A Forgotten Language Skill?

    ERIC Educational Resources Information Center

    Medwell, Jane; Wray, David

    2008-01-01

    Handwriting currently has a low status and profile in literacy education. This paper examines the situation of current handwriting pedagogy in England and considers why handwriting efficiency has been neglected. The paper goes on to identify a number of studies located in the domains of special needs and psychology which re-evaluate the role of…

  1. The correlation between proprioception and handwriting legibility in children

    PubMed Central

    Hong, So Young; Jung, Nam-Hae; Kim, Kyeong Mi

    2016-01-01

    [Purpose] This study investigated the association between proprioception, including joint position sense and kinetic sense, and handwriting legibility in healthy children. [Subjects and Methods] Assessment of joint position sense, kinetic sense, and handwriting legibility was conducted for 19 healthy children. Joint position sense was assessed by asking the children to flex their right elbow between 30° to 110° while blindfolded. The range of elbow movement was analyzed with Compact Measuring System 10 for 3D motion Analysis. Kinetic sense was assessed using the Sensory Integration and Praxis Test. The children were directed to write 30 words from the Korean alphabet, and the legibility of their handwriting was scored for form, alignment, space, size, and shape. To analyze the data, descriptive statistics and Spearman correlation analysis were conducted using IBM SPSS Statistics 20.0. [Results] There was significant negative correlation between handwriting legibility and Kinetic sense. A significant correlation between handwriting legibility and Joint position sense was not found. [Conclusion] This study showed that a higher Kinetic sense was associated with better legibility of handwriting. Further work is needed to determine the association of handwriting legibility and speed with Joint position sense of the elbow, wrist, and fingers. PMID:27821948

  2. Statistical characterization of handwriting characteristics using automated tools

    NASA Astrophysics Data System (ADS)

    Ball, Gregory R.; Srihari, Sargur N.

    2011-01-01

    We provide a statistical basis for reporting the results of handwriting examination by questioned document (QD) examiners. As a facet of Questioned Document (QD) examination, the analysis and reporting of handwriting examination suffers from the lack of statistical data concerning the frequency of occurrence of combinations of particular handwriting characteristics. QD examiners tend to assign probative values to specific handwriting characteristics and their combinations based entirely on the examiner's experience and power of recall. The research uses data bases of handwriting samples that are representative of the US population. Feature lists of characteristics provided by QD examiners, are used to determine as to what frequencies need to be evaluated. Algorithms are used to automatically extract those characteristics, e.g., a software tool for extracting most of the characteristics from the most common letter pair th, is functional. For each letter combination the marginal and conditional frequencies of their characteristics are evaluated. Based on statistical dependencies of the characteristics the probability of any given letter formation is computed. The resulting algorithms are incorporated into a system for writer verification known as CEDAR-FOX.

  3. Effects of a kinesthetic cursive handwriting intervention for grade 4-6 students.

    PubMed

    Roberts, Gwenyth I; Siever, Jodi E; Mair, Judith A

    2010-01-01

    We studied whether Grade 4-6 students who participated in a kinesthetic writing intervention improved in legibility, speed, and personal satisfaction with cursive handwriting. Small groups of students with handwriting difficulties were seen weekly for 7 wk using a kinesthetic writing system. A repeated measures design was used to evaluate change in global legibility, individual letter formation, specific features of handwriting, and personal satisfaction. Analysis revealed (1) a significant increase in ratings of global legibility (p <.01; clinically significant improvements in 39% of students); (2) significant improvements in letter formation and legibility features of baseline, closure, and line quality (all p < .05); (3) increased handwriting speed (p < .05; not clinically significant); and (4) significant increase in measures with personal satisfaction of handwriting (p < .01). CONCLUSION. A kinesthetic handwriting intervention may be effective in improving the skills of students with handwriting challenges.

  4. Dysfluent Handwriting in Schizophrenic Outpatients.

    PubMed

    Gawda, Barbara

    2016-04-01

    Taking into account findings in the literature, the author aimed to test whether specific graphical characteristics of handwriting can distinguish patients diagnosed with schizophrenic disorders from healthy controls. Handwriting samples (one sample from each person) from 60 outpatients (29 women, 31 men; age M = 28.5, SD = 5.4) with paranoid schizophrenia were analyzed by three documents examiners and were compared to samples from 60 controls (30 men, 30 women, age M = 28.0, SD = 3.0) without psychiatric disorders. Document examiners assessed 32 graphical features potentially related to schizophrenia. The comparisons between groups revealed that only 7 out of 32 handwriting properties were significantly different in the handwriting of schizophrenic outpatients from controls: the calligraphic forms of letters, loops in ovals, lacking of dots, tremor, sinusoidal baseline, and irregularities size of lower zone. These findings are discussed in terms of motor disturbances in schizophrenia and in relation to the previous research on handwriting of other mental disorders. Similarities between the graphical patterns of handwriting of schizophrenic patients and those of other mental disorders and/or other mental states have been demonstrated. © The Author(s) 2016.

  5. Handwriting in children with ADHD.

    PubMed

    Langmaid, Rebecca A; Papadopoulos, Nicole; Johnson, Beth P; Phillips, James G; Rinehart, Nicole J

    2014-08-01

    Children with ADHD-combined type (ADHD-CT) display fine and gross motor problems, often expressed as handwriting difficulties. This study aimed to kinematically characterize the handwriting of children with ADHD using a cursive letter l's task. In all, 28 boys (7-12 years), 14 ADHD-CT and 14 typically developing (TD), without developmental coordination disorder (DCD) or comorbid autism, wrote a series of four cursive letter l's using a graphics tablet and stylus. Children with ADHD-CT had more inconsistent writing size than did TD controls. In addition, ADHD-CT symptom severity, specifically inattention, predicted poorer handwriting outcomes. In a sample of children with ADHD-CT who do not have DCD or autism, subtle handwriting differences were evident. It was concluded that handwriting might be impaired in children with ADHD in a manner dependent on symptom severity. This may reflect reports of underlying motor impairment in ADHD. © 2011 SAGE Publications.

  6. Effects of Neoprene Wrist/Hand Splints on Handwriting for Students with Joint Hypermobility Syndrome: A Single System Design Study

    ERIC Educational Resources Information Center

    Frohlich, Lauren; Wesley, Alison; Wallen, Margaret; Bundy, Anita

    2012-01-01

    Purpose: Pain associated with hypermobility of wrist and hand joints can contribute to decreased handwriting output. This study examined the effectiveness of a neoprene wrist/hand splint in reducing pain and increasing handwriting speed and endurance for students with joint hypermobility syndrome. Methods: Multiple baseline, single system design…

  7. Effectiveness of the Size Matters Handwriting Program.

    PubMed

    Pfeiffer, Beth; Rai, Gillian; Murray, Tammy; Brusilovskiy, Eugene

    2015-04-01

    The purpose of the research was to study changes in handwriting legibility among kindergarten, first- and second-grade students in response to the Size Matters curricular-based handwriting program. A two-group pre-post-test design was implemented at two public schools with half of the classrooms assigned to receive the Size Matters program and the other continuing to receive standard instruction. All participants completed two standardized handwriting measures at pre-test and after 40 instructional sessions were completed with the classes receiving the handwriting program. Results identified significant changes in legibility in the handwriting intervention group for all three grades when compared with the standard instruction group. The results of this study support the use of a curricular-embedded handwriting program and provide the foundation for future research examining the impact of handwriting legibility on learning outcomes.

  8. Predicting Handwriting Legibility in Taiwanese Elementary School Children.

    PubMed

    Lee, Tzu-I; Howe, Tsu-Hsin; Chen, Hao-Ling; Wang, Tien-Ni

    This study investigates handwriting characteristics and potential predictors of handwriting legibility among typically developing elementary school children in Taiwan. Predictors of handwriting legibility included visual-motor integration (VMI), visual perception (VP), eye-hand coordination (EHC), and biomechanical characteristics of handwriting. A total of 118 children were recruited from an elementary school in Taipei, Taiwan. A computerized program then assessed their handwriting legibility. The biomechanics of handwriting were assessed using a digitizing writing tablet. The children's VMI, VP, and EHC were assessed using the Beery-Buktenica Developmental Test of Visual-Motor Integration. Results indicated that predictive factors of handwriting legibility varied in different age groups. VMI predicted handwriting legibility for first-grade students, and EHC and stroke force predicted handwriting legibility for second-grade students. Kinematic factors such as stroke velocity were the only predictor for children in fifth and sixth grades. Copyright © 2016 by the American Occupational Therapy Association, Inc.

  9. Handwriting Instruction for a High-Tech Society: Will Handwriting Be Necessary?

    ERIC Educational Resources Information Center

    Furner, Beatrice A.

    Assuming that some handwriting will be necessary in the computer age, questions remain as to the instructional techniques that facilitate learning in handwriting, whether the cost and time required to teach two forms of writing can be justified, and which form is learned more easily and is better suited for use in a technological age. Effective…

  10. Analysis of Handwriting based on Rhythm Perception

    NASA Astrophysics Data System (ADS)

    Saito, Kazuya; Uchida, Masafumi; Nozawa, Akio

    Humanity fluctuation was reported in some fields. In handwriting process, fluctuation appears on handwriting-velocity. In this report, we focused attention on human rhythm perception and analyzed fluctuation in handwriting process. As a result, 1/f noise related to rhythm perception and features may caused by Kahneman's capacity model were measured on handwriting process.

  11. Handwriting Difficulties in Children with Autism Spectrum Disorders: A Scoping Review

    ERIC Educational Resources Information Center

    Kushki, Azadeh; Chau, Tom; Anagnostou, Evdokia

    2011-01-01

    Functional handwriting involves complex interactions among physical, cognitive and sensory systems. Impairments in many aspects of these systems are associated with Autism spectrum disorders (ASD), suggesting a heightened risk of handwriting difficulties in children with ASD. This scoping review aimed to: (1) survey the existing evidence about…

  12. Handwriting Instruction in Elementary Schools: Revisited!

    ERIC Educational Resources Information Center

    Asher, Asha; Estes, Joanne

    2016-01-01

    Handwriting is an essential literacy and communication skill developed through a variety of instructional methods in elementary school. This study explored the consistency in handwriting instruction across grade levels in a Midwest public school district 15 years after the school initially implemented a uniform handwriting program. Additionally,…

  13. Predicting Handwriting Difficulties Through Spelling Processes.

    PubMed

    Rodríguez, Cristina; Villarroel, Rebeca

    This study examined whether spelling tasks contribute to the prediction of the handwriting status of children with poor and good handwriting skills in a cross-sectional study with 276 Spanish children from Grades 1 and 3. The main hypothesis was that the spelling tasks would predict the handwriting status of the children, although this influence would decrease with age due to a gradual automatization of handwriting skills. The results confirmed this hypothesis. Another interesting result was that the pattern of pseudoword and irregular word spellings as predictors of handwriting status changed from Grade 1 to Grade 3. In Grade 1, the pseudoword spelling task made a significant contribution, whereas the irregular word spelling task did not. The opposite pattern was found in Grade 3. These results may be a consequence of progressive acquisition of orthographic representations. The orthographic role of the task of writing the alphabet in order from memory in the prediction model was also analyzed. The writing of the alphabet in order from memory task made a significant contribution to the prediction of handwriting status of the children beyond the orthographic influence of spelling tasks. The additional effect of this task on the prediction of handwriting status is presumably due to the fact that this measure is based on fluency.

  14. Comparison of cursive models for handwriting instruction.

    PubMed

    Karlsdottir, R

    1997-12-01

    The efficiency of four different cursive handwriting styles as model alphabets for handwriting instruction of primary school children was compared in a cross-sectional field experiment from Grade 3 to 6 in terms of the average handwriting speed developed by the children and the average rate of convergence of the children's handwriting to the style of their model. It was concluded that styles with regular entry stroke patterns give the steadiest rate of convergence to the model and styles with short ascenders and descenders and strokes with not too high curvatures give the highest handwriting speed.

  15. Predicting Handwriting Difficulties through Spelling Processes

    ERIC Educational Resources Information Center

    Rodríguez, Cristina; Villarroel, Rebeca

    2017-01-01

    This study examined whether spelling tasks contribute to the prediction of the handwriting status of children with poor and good handwriting skills in a cross-sectional study with 276 Spanish children from Grades 1 and 3. The main hypothesis was that the spelling tasks would predict the handwriting status of the children, although this influence…

  16. Handwriting Fluency and Visuospatial Generativity at Primary School

    ERIC Educational Resources Information Center

    Stievano, Paolo; Michetti, Silvia; McClintock, Shawn M.; Levi, Gabriel; Scalisi, Teresa Gloria

    2016-01-01

    Handwriting is a complex activity that involves continuous interaction between lowerlevel perceptual-motor and higher-level cognitive processes. All handwriting models describe involvement of executive functions (EF) in handwriting development. Particular EF domains associated with handwriting include maintenance of information in working memory,…

  17. Handwriting generates variable visual input to facilitate symbol learning

    PubMed Central

    Li, Julia X.; James, Karin H.

    2015-01-01

    Recent research has demonstrated that handwriting practice facilitates letter categorization in young children. The present experiments investigated why handwriting practice facilitates visual categorization by comparing two hypotheses: That handwriting exerts its facilitative effect because of the visual-motor production of forms, resulting in a direct link between motor and perceptual systems, or because handwriting produces variable visual instances of a named category in the environment that then changes neural systems. We addressed these issues by measuring performance of 5 year-old children on a categorization task involving novel, Greek symbols across 6 different types of learning conditions: three involving visual-motor practice (copying typed symbols independently, tracing typed symbols, tracing handwritten symbols) and three involving visual-auditory practice (seeing and saying typed symbols of a single typed font, of variable typed fonts, and of handwritten examples). We could therefore compare visual-motor production with visual perception both of variable and similar forms. Comparisons across the six conditions (N=72) demonstrated that all conditions that involved studying highly variable instances of a symbol facilitated symbol categorization relative to conditions where similar instances of a symbol were learned, regardless of visual-motor production. Therefore, learning perceptually variable instances of a category enhanced performance, suggesting that handwriting facilitates symbol understanding by virtue of its environmental output: supporting the notion of developmental change though brain-body-environment interactions. PMID:26726913

  18. Does Handwriting Instruction Have a Place in the Instructional Day? The Relationship between Handwriting Quality and Academic Success

    ERIC Educational Resources Information Center

    McCarroll, Hope; Fletcher, Tina

    2017-01-01

    Handwriting is a foundational skill needed by students to demonstrate competency in reading, writing, and math. Occupational therapists who work in schools are tasked with providing remedial services for students who demonstrate deficits in underlying handwriting mechanics, as opposed to deficits in following handwriting conventions. Despite this,…

  19. Handwriting in healthy people aged 65 years and over.

    PubMed

    van Drempt, Nadege; McCluskey, Annie; Lannin, Natasha A

    2011-08-01

    Handwriting is an important activity that is commonly affected by neurological and orthopaedic conditions. Handwriting research has predominantly involved children. Little is known about handwriting behaviour in healthy older adults. This study aims to describe the handwriting practices of 30 unimpaired adults aged 65 years and over. In this cross-sectional observational study, data were collected from 30 older adults using a self-report questionnaire, digital pen recordings over three days and a handwriting log. Data were analysed using descriptive statistics. The mean age of participants was 75.1 years (standard deviation=6.9). Variations in handwriting were evident in letter size, slant and spacing. Participants wrote very little--a median of 18 words per occasion (interquartile range=10.5-26.9 words). Most handwriting involved self-generated text (85%), not copied or transcribed text. Participants stood while writing for 17% of handwriting occasions. The most common reasons for handwriting were note taking (23%) and puzzles (22%). Legibility may not depend exclusively on the handwriting script that a beginning writer is taught, but may be a result of other factors as the person ages. A comprehensive adult handwriting assessment and retraining programme should be relevant to older adults, including common handwriting activities, involving self-generated text and few words. © 2011 The Authors. Australian Occupational Therapy Journal © 2011 Occupational Therapy Australia.

  20. Biomechanical analyses of prolonged handwriting in subjects with and without perceived discomfort.

    PubMed

    Chang, Shao-Hsia; Chen, Chien-Liang; Yu, Nan-Ying

    2015-10-01

    Since wrist-joint position affects finger muscle length and grip strength, we studied its biomechanical relevance in prolonged handwriting. We recruited participants from young adults, aged 18-24, and separated them into control (n=22) and in-pain (n=18) groups, based whether or not they experience pain while handwriting. The participants then performed a writing task for 30 min on a computerized system which measured their wrist-joint angle and documented their handwriting kinematics. The in-pain group perceived more soreness and had a less-extended wrist joint, longer on-paper time, and slower stroke velocity compared to control group. There was no significant difference in handwriting speed and quality between the two groups. The wrist extension angle significantly correlated with perceived soreness. Ergonomic and biomechanical analyses provide important information about the handwriting process. Knowledge of pen tip movement kinematics and wrist-joint position can help occupational therapists plan treatment for individuals with handwriting induced pain. Copyright © 2015 Elsevier B.V. All rights reserved.

  1. Handwriting generates variable visual output to facilitate symbol learning.

    PubMed

    Li, Julia X; James, Karin H

    2016-03-01

    Recent research has demonstrated that handwriting practice facilitates letter categorization in young children. The present experiments investigated why handwriting practice facilitates visual categorization by comparing 2 hypotheses: that handwriting exerts its facilitative effect because of the visual-motor production of forms, resulting in a direct link between motor and perceptual systems, or because handwriting produces variable visual instances of a named category in the environment that then changes neural systems. We addressed these issues by measuring performance of 5-year-old children on a categorization task involving novel, Greek symbols across 6 different types of learning conditions: 3 involving visual-motor practice (copying typed symbols independently, tracing typed symbols, tracing handwritten symbols) and 3 involving visual-auditory practice (seeing and saying typed symbols of a single typed font, of variable typed fonts, and of handwritten examples). We could therefore compare visual-motor production with visual perception both of variable and similar forms. Comparisons across the 6 conditions (N = 72) demonstrated that all conditions that involved studying highly variable instances of a symbol facilitated symbol categorization relative to conditions where similar instances of a symbol were learned, regardless of visual-motor production. Therefore, learning perceptually variable instances of a category enhanced performance, suggesting that handwriting facilitates symbol understanding by virtue of its environmental output: supporting the notion of developmental change though brain-body-environment interactions. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

  2. Handwriting Examination: Moving from Art to Science

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Jarman, Kristin H.; Hanlen, Richard C.; Manzolillo, P. A.

    The scientific basis for handwriting individuality and the expertise of handwriting examiners has been questioned in several court cases and law review articles. The criticisms were originally directed at the proficiency and expertise of forensic document examiners (FDE's). However, these criticisms also illustrate the lack of empirical data to support and validate the premises and methodology of handwriting examination. As a result the admissibility and weight of FDE testimony has been called into question. These assaults on the scientific integrity of handwriting analysis have created an urgent need for the forensic document examination community to develop objective standards, measurable criteriamore » and a uniform methodology supported by properly controlled studies that evaluate and validate the significance of measurable handwriting characteristics.« less

  3. Pen-chant: Acoustic emissions of handwriting and drawing

    NASA Astrophysics Data System (ADS)

    Seniuk, Andrew G.

    The sounds generated by a writing instrument ('pen-chant') provide a rich and underutilized source of information for pattern recognition. We examine the feasibility of recognition of handwritten cursive text, exclusively through an analysis of acoustic emissions. We design and implement a family of recognizers using a template matching approach, with templates and similarity measures derived variously from: smoothed amplitude signal with fixed resolution, discrete sequence of magnitudes obtained from peaks in the smoothed amplitude signal, and ordered tree obtained from a scale space signal representation. Test results are presented for recognition of isolated lowercase cursive characters and for whole words. We also present qualitative results for recognizing gestures such as circling, scratch-out, check-marks, and hatching. Our first set of results, using samples provided by the author, yield recognition rates of over 70% (alphabet) and 90% (26 words), with a confidence of +/-8%, based solely on acoustic emissions. Our second set of results uses data gathered from nine writers. These results demonstrate that acoustic emissions are a rich source of information, usable---on their own or in conjunction with image-based features---to solve pattern recognition problems. In future work, this approach can be applied to writer identification, handwriting and gesture-based computer input technology, emotion recognition, and temporal analysis of sketches.

  4. Handwriting Instruction: A Commentary on Five Studies

    ERIC Educational Resources Information Center

    Graham, Steve

    2018-01-01

    Handwriting is still a prominent mode for composing for both children and adults As a result, it is important that developing writers acquire fluent and legible handwriting. This article examines the five investigations that were presented in this special issue on handwriting instruction, providing a summary of their collective contributions as…

  5. Circadian rhythms in handwriting kinematics and legibility.

    PubMed

    Jasper, Isabelle; Gordijn, Marijke; Häussler, Andreas; Hermsdörfer, Joachim

    2011-08-01

    The aim of the present study was to analyze the circadian rhythmicity in handwriting kinematics and legibility and to compare the performance between Dutch and German writers. Two subject groups underwent a 40 h sleep deprivation protocol under Constant Routine conditions either in Groningen (10 Dutch subjects) or in Berlin (9 German subjects). Both groups wrote every 3h a test sentence of similar structure in their native language. Kinematic handwriting performance was assessed with a digitizing tablet and evaluated by writing speed, writing fluency, and script size. Writing speed (frequency of strokes and average velocity) revealed a clear circadian rhythm, with a parallel decline during night and a minimum around 3:00 h in the morning for both groups. Script size and movement fluency did not vary with time of day in neither group. Legibility of handwriting was evaluated by intra-individually ranking handwriting specimens of the 13 sessions by 10 German and 10 Dutch raters. Whereas legibility ratings of the German handwriting specimens deteriorated during night in parallel with slower writing speed, legibility of the Dutch handwriting deteriorated not until the next morning. In conclusion, the circadian rhythm of handwriting kinematics seems to be independent of script language at least among the two tested western countries. Moreover, handwriting legibility is also subject to a circadian rhythm which, however, seems to be influenced by variations in the assessment protocol. Copyright © 2010 Elsevier B.V. All rights reserved.

  6. Handwriting difficulties in juvenile idiopathic arthritis: a pilot study.

    PubMed

    Haberfehlner, Helga; Visser, Bart; Daffertshofer, Andreas; van Rossum, Marion Aj; Roorda, Leo D; van der Leeden, Marike; Dekker, Joost; Hoeksma, Agnes F

    2011-01-01

    The aim of the present study was to describe handwriting difficulties of primary school children with juvenile idiopathic arthritis (JIA), and to investigate possible correlations with hand function and writing performance. In a cross-sectional approach, 15 children with JIA and reported handwriting difficulties were included together with 15 healthy matched controls. Impairments (signs of arthritis or tenosynovitis, reduced grip force and limited range of motion of the wrist (wrist-ROM)), activity limitations (reduced quality and speed of handwriting, pain during handwriting), and participation restrictions (perceived handwriting difficulties at school) were assessed and analysed. Although selected by the presence of handwriting difficulties, the majority of the JIA children (73%) had no active arthritis of the writing hand, and only minor hand impairments were found. Overall, the JIA children performed well during the short handwriting test, but the number of letters they wrote per minute decreased significantly during the 5-minute test, compared to the healthy controls. JIA patients had significantly higher pain scores on a 100 mm Visual Analogue Scale, compared to the healthy controls. The actual presence of arthritis, and limitation in grip force and wrist-ROM did not correlate with reported participation restrictions with regard to handwriting at school. The JIA children reported pain during handwriting, and inability to sustain handwriting for a longer period of time. The results of this pilot study show that JIA children with handwriting difficulties, experience their restrictions mainly through pain and the inability to sustain handwriting for a longer period of time. No correlations could be found with impairments.

  7. Comparison of the Properties of the Handwriting Speed Test (HST) and Detailed Assessment of Speed of Handwriting (DASH): An Exploratory Study.

    PubMed

    Francis, Anna; Wallen, Margaret; Bundy, Anita

    2017-05-01

    Handwriting speed is an important component of students' ability to adequately express their ideas, knowledge and creativity in a timely and effective manner. Psychometric properties of the Handwriting Speed Test (HST) and Detailed Assessment of Speed of Handwriting (DASH) and accuracy of the norms for identifying current Australian students with handwriting speed difficulties were examined. An exploratory, cross-sectional study was conducted involving students, with and without handwriting difficulties, in Years 3-12 (mean age: 12.0 yrs, SD = 3.0 yrs; range = 7 to 18 yrs) in New South Wales (NSW; Australia). Participants were recruited through occupational therapists and schools. Students completed the HST and all DASH subtests. Thirty-two students with, and 139 students without, handwriting difficulties participated. Intra-rater and inter-rater reliability were found to be excellent; sensitivity was low and specificity high for the HST and DASH. No significant differences were found between test scores and normative data for students without handwriting difficulties (year/age groups with n > 10). The HST and DASH are reliable assessments of handwriting speed. Further research is required into discriminant validity of the HST and DASH and need for updated norms.

  8. The effects of shift work and time of day on fine motor control during handwriting.

    PubMed

    Hölzle, Patricia; Hermsdörfer, Joachim; Vetter, Céline

    2014-01-01

    Handwriting is an elaborate and highly automatised skill relying on fine motor control. In laboratory conditions handwriting kinematics are modulated by the time of day. This study investigated handwriting kinematics in a rotational shift system and assessed whether similar time of day fluctuations at the work place can be observed. Handwriting performance was measured in two tasks of different levels of complexity in 34 shift workers across morning (6:00-14:00), evening (14:00-22:00) and night shifts (22:00-6:00). Participants were tested during all three shifts in 2-h intervals with mobile testing devices. We calculated average velocity, script size and writing frequency to quantify handwriting kinematics and fluency. Average velocity and script size were significantly affected by the shift work schedule with the worst performance during morning shifts and the best performance during evening shifts. Our data are of high economic relevance as fine motor skills are indispensable for accurate and effective production at the work place. Handwriting is one of the most complex fine motor skills in humans, which is frequently performed in daily life. In this study, we tested handwriting repeatedly at the work place in a rotational shift system. We found slower handwriting velocity and reduced script size during morning shifts.

  9. Handwriting assessment of Franco-Quebec primary school-age students

    PubMed

    Couture, Mélanie; Morin, Marie-France; Coallier, Mélissa; Lavigne, Audrey; Archambault, Patricia; Bolduc, Émilie; Chartier, Émilie; Liard, Karolane; Jasmin, Emmanuelle

    2016-12-01

    Reasons for referring school-age children to occupational therapy mainly relate to handwriting problems. However, there are no validated tools or reference values for assessing handwriting in francophone children in Canada. This study aimed to adapt and validate the writing tasks described in an English Canadian handwriting assessment protocol and to develop reference values for handwriting speed for francophone children. Three writing tasks from the Handwriting Assessment Protocol-2nd Edition (near-point and far-point copying and dictation) were adapted for Québec French children and administered to 141 Grade 1 ( n = 73) and Grade 2 ( n = 68) students. Reference values for handwriting speed were obtained for near point and far point copying tasks. This adapted protocol and these reference values for speed will improve occupational therapy handwriting assessments for the target population.

  10. Historical Analyses of Disordered Handwriting

    PubMed Central

    Schiegg, Markus; Thorpe, Deborah

    2016-01-01

    Handwritten texts carry significant information, extending beyond the meaning of their words. Modern neurology, for example, benefits from the interpretation of the graphic features of writing and drawing for the diagnosis and monitoring of diseases and disorders. This article examines how handwriting analysis can be used, and has been used historically, as a methodological tool for the assessment of medical conditions and how this enhances our understanding of historical contexts of writing. We analyze handwritten material, writing tests and letters, from patients in an early 20th-century psychiatric hospital in southern Germany (Irsee/Kaufbeuren). In this institution, early psychiatrists assessed handwriting features, providing us novel insights into the earliest practices of psychiatric handwriting analysis, which can be connected to Berkenkotter’s research on medical admission records. We finally consider the degree to which historical handwriting bears semiotic potential to explain the psychological state and personality of a writer, and how future research in written communication should approach these sources. PMID:28408774

  11. Effective Beginning Handwriting Instruction: Multi-modal, Consistent Format for 2 Years, and Linked to Spelling and Composing.

    PubMed

    Wolf, Beverly; Abbott, Robert D; Berninger, Virginia W

    2017-02-01

    In Study 1, the treatment group ( N = 33 first graders, M = 6 years 10 months, 16 girls) received Slingerland multi-modal (auditory, visual, tactile, motor through hand, and motor through mouth) manuscript (unjoined) handwriting instruction embedded in systematic spelling, reading, and composing lessons; and the control group ( N =16 first graders, M = 7 years 1 month, 7 girls) received manuscript handwriting instruction not systematically related to the other literacy activities. ANOVA showed both groups improved on automatic alphabet writing from memory; but ANCOVA with the automatic alphabet writing task as covariate showed that the treatment group improved significantly more than control group from the second to ninth month of first grade on dictated spelling and recognition of word-specific spellings among phonological foils. In Study 2 new groups received either a second year of manuscript ( N = 29, M = 7 years 8 months, 16 girls) or introduction to cursive (joined) instruction in second grade ( N = 24, M = 8 years 0 months, 11 girls) embedded in the Slingerland literacy program. ANCOVA with automatic alphabet writing as covariate showed that those who received a second year of manuscript handwriting instruction improved more on sustained handwriting over 30, 60, and 90 seconds than those who had had only one year of manuscript instruction; both groups improved in spelling and composing from the second to ninth month of second grade. Results are discussed in reference to mastering one handwriting format before introducing another format at a higher grade level and always embedding handwriting instruction in writing and reading instruction aimed at all levels of language.

  12. Effective Beginning Handwriting Instruction: Multi-modal, Consistent Format for 2 Years, and Linked to Spelling and Composing

    PubMed Central

    Wolf, Beverly; Abbott, Robert D.; Berninger, Virginia W.

    2016-01-01

    In Study 1, the treatment group (N = 33 first graders, M = 6 years 10 months, 16 girls) received Slingerland multi-modal (auditory, visual, tactile, motor through hand, and motor through mouth) manuscript (unjoined) handwriting instruction embedded in systematic spelling, reading, and composing lessons; and the control group (N =16 first graders, M = 7 years 1 month, 7 girls) received manuscript handwriting instruction not systematically related to the other literacy activities. ANOVA showed both groups improved on automatic alphabet writing from memory; but ANCOVA with the automatic alphabet writing task as covariate showed that the treatment group improved significantly more than control group from the second to ninth month of first grade on dictated spelling and recognition of word-specific spellings among phonological foils. In Study 2 new groups received either a second year of manuscript (N = 29, M = 7 years 8 months, 16 girls) or introduction to cursive (joined) instruction in second grade (N = 24, M = 8 years 0 months, 11 girls) embedded in the Slingerland literacy program. ANCOVA with automatic alphabet writing as covariate showed that those who received a second year of manuscript handwriting instruction improved more on sustained handwriting over 30, 60, and 90 seconds than those who had had only one year of manuscript instruction; both groups improved in spelling and composing from the second to ninth month of second grade. Results are discussed in reference to mastering one handwriting format before introducing another format at a higher grade level and always embedding handwriting instruction in writing and reading instruction aimed at all levels of language. PMID:28190930

  13. Handwriting Development, Competency, and Intervention

    ERIC Educational Resources Information Center

    Feder, Katya P.; Majnemer, Annette

    2007-01-01

    Failure to attain handwriting competency during the school-age years often has far-reaching negative effects on both academic success and self-esteem. This complex occupational task has many underlying component skills that may interfere with handwriting performance. Fine motor control, bilateral and visual-motor integration, motor planning,…

  14. Handwriting as an operant1

    PubMed Central

    Gonzalez, Fernando A.; Waller, Marcus B.

    1974-01-01

    An apparatus was designed to monitor handwriting behavior. Two subjects were studied under various schedules of monetary reinforcement for handwriting. The different schedules engendered and maintained distinctive response patterns but the rates of sustained responding did not vary across schedules. The development of fixed-interval performance following continuous reinforcement resembled the same transition in lower animals. In one subject, availability of reading material interacted with the schedule to determine response pattern. It was suggested that handwriting may be a more appropriate response for the experimental analysis of human behavior than the more frequently used button-pushing or lever-pulling responses. ImagesFig. 1.Fig. 2. PMID:16811729

  15. Comprehension of handwriting development: Pen-grip kinetics in handwriting tasks and its relation to fine motor skills among school-age children.

    PubMed

    Lin, Yu-Chen; Chao, Yen-Li; Wu, Shyi-Kuen; Lin, Ho-Hsio; Hsu, Chieh-Hsiang; Hsu, Hsiao-Man; Kuo, Li-Chieh

    2017-10-01

    Numerous tools have been developed to evaluate handwriting performances by analysing written products. However, few studies have directly investigated kinetic performances of digits when holding a pen. This study thus attempts to investigate pen-grip kinetics during writing tasks of school-age children and explore the relationship between the kinetic factors and fine motor skills. This study recruited 181 children aged from 5 to 12 years old and investigated the effects of age on handwriting kinetics and the relationship between these and fine motor skills. The forces applied from the digits and pen-tip were measured during writing tasks via a force acquisition pen, and the children's fine motor performances were also evaluated. The results indicate that peak force and average force might not be direct indicators of handwriting performance for normally developing children at this age. Younger children showed larger force variation and lower adjustment frequency during writing, which might indicate they had poorer force control than the older children. Force control when handling a pen is significantly correlated with fine motor performance, especially in relation to the manual dexterity. A novel system is proposed for analysing school-age children's force control while handwriting. We observed the development of force control in relation to pen grip among the children with different ages in this study. The findings suggested that manipulation skill may be crucial when children are establishing their handwriting capabilities. © 2017 Occupational Therapy Australia.

  16. Eye movements during the handwriting of words: Individually and within sentences.

    PubMed

    Sita, Jodi C; Taylor, Katelyn A

    2015-10-01

    Handwriting, a complex motor process involves the coordination of both the upper limb and visual system. The gaze behavior that occurs during the handwriting process is an area that has been little studied. This study investigated the eye-movements of adults during writing and reading tasks. Eye and handwriting movements were recorded for six different words over three different tasks. The results compared reading and handwriting the same words, a between condition comparison and a comparison between the two handwriting tasks. Compared to reading, participants produced more fixations during handwriting tasks and the average fixation durations were longer. When reading fixations were found to be mostly around the center of word, whereas fixations when writing appear to be made for each letter in a written word and were located around the base of letters and flowed in a left to right direction. Between the two writing tasks more fixations were made when words were written individually compared to within sentences, yet fixation durations were no different. Correlation of the number of fixations made to kinematic variables revealed that horizontal size and road length held a strong correlation with the number of fixations made by participants. Copyright © 2015 Elsevier B.V. All rights reserved.

  17. Children with autism show specific handwriting impairments

    PubMed Central

    Fuentes, Christina T.; Mostofsky, Stewart H.; Bastian, Amy J.

    2009-01-01

    Background: Handwriting skills, which are crucial for success in school, communication, and building children’s self-esteem, have been observed to be poor in individuals with autism. Little information exists on the handwriting of children with autism, without delineation of specific features that can contribute to impairments. As a result, the specific aspects of handwriting in which individuals with autism demonstrate difficulty remain unknown. Methods: A case-control study of handwriting samples from children with and without autism spectrum disorders (ASD) was performed using the Minnesota Handwriting Assessment. Samples were scored on an individual letter basis in 5 categories: legibility, form, alignment, size, and spacing. Subjects were also tested on the Wechsler Intelligence Scale for Children–IV and the Physical and Neurological Examination for Subtle (Motor) Signs. Results: We found that children with ASD do indeed show overall worse performance on a handwriting task than do age- and intelligence-matched controls. More specifically, children with ASD show worse quality of forming letters but do not show differences in their ability to correctly size, align, and space their letters. Within the ASD group, motor skills were significantly predictive of handwriting performance, whereas age, gender, IQ, and visuospatial abilities were not. Conclusions: We addressed how different elements of handwriting contribute to impairments observed in children with autism. Our results suggest that training targeting letter formation, in combination with general training of fine motor control, may be the best direction for improving handwriting performance in children with autism. GLOSSARY ADI-R = Autism Diagnostic Interview–Revised; ADOS-G = Autism Diagnostic Observation Schedule–Generic; ASD = autism spectrum disorders; DICA-IV = Diagnostic Interview for Children and Adolescents, 4th edition; DSM-IV = Diagnostic and Statistical Manual of Mental Disorders, 4th

  18. Validating the use of the evaluation tool of children's handwriting-manuscript to identify handwriting difficulties and detect change in school-age children.

    PubMed

    Brossard-Racine, Marie; Mazer, Barbara; Julien, Marilyse; Majnemer, Annette

    2012-01-01

    In this study we sought to validate the discriminant ability of the Evaluation Tool of Children's Handwriting-Manuscript in identifying children in Grades 2-3 with handwriting difficulties and to determine the percentage of change in handwriting scores that is consistently detected by occupational therapists. Thirty-four therapists judged and compared 35 pairs of handwriting samples. Receiver operating characteristic (ROC) analyses were performed to determine (1) the optimal cutoff values for word and letter legibility scores that identify children with handwriting difficulties who should be seen in rehabilitation and (2) the minimal clinically important difference (MCID) in handwriting scores. Cutoff scores of 75.0% for total word legibility and 76.0% for total letter legibility were found to provide excellent levels of accuracy. A difference of 10.0%-12.5% for total word legibility and 6.0%-7.0% for total letter legibility were found as the MCID. Study findings enable therapists to quantitatively support clinical judgment when evaluating handwriting. Copyright © 2012 by the American Occupational Therapy Association, Inc.

  19. Handwriting Instruction: An Analysis of Perspectives from Three Elementary Teachers

    ERIC Educational Resources Information Center

    Sharp, Laurie; Brown, Tiffany

    2015-01-01

    Handwriting is an essential skill for learners, but advancements with technology have greatly altered perceptions towards handwriting and handwriting instruction. This study sought to determine the current state of handwriting through an exploratory analysis of the teaching experiences of three practicing elementary teachers with varying…

  20. Evaluation of Handwriting Movement Kinematics: From an Ecological to a Magnetic Resonance Environment

    PubMed Central

    Bisio, Ambra; Pedullà, Ludovico; Bonzano, Laura; Ruggeri, Piero; Brichetto, Giampaolo; Bove, Marco

    2016-01-01

    Writing is a means of communication which requires complex motor, perceptual, and cognitive skills. If one of these abilities gets lost following traumatic events or due to neurological diseases, handwriting could deteriorate. Occupational therapy practitioners provide rehabilitation services for people with impaired handwriting. However, to determine the effectiveness of handwriting interventions no studies assessed whether the proposed treatments improved the kinematics of writing movement or had an effect at the level of the central nervous system. There is need to find new quantitative methodologies able to describe the behavioral and the neural outcomes of the rehabilitative interventions for handwriting. In the present study we proposed a combined approach that allowed evaluating the kinematic parameters of handwriting movements, acquired by means of a magnetic resonance-compatible tablet, and their neural correlates obtained simultaneously from a functional magnetic resonance imaging examination. Results showed that the system was reliable in term of reproducibility of the kinematic data during a test/re-test procedure. Further, despite the modifications with respect to an ecological writing movement condition, the kinematic parameters acquired inside the MR-environment were descriptive of individuals’ movement features. At last, the imaging protocol succeeded to show the activation of the cerebral regions associated with the production of writing movement in healthy people. From these findings, this methodology seems to be promising to evaluate the handwriting movement deficits and the potential alterations in the neural activity in those individuals who have handwriting difficulties. Finally, it would provide a mean to quantitatively assess the effect of a rehabilitative treatment. PMID:27746727

  1. A review of factors that influence adult handwriting performance.

    PubMed

    van Drempt, Nadege; McCluskey, Annie; Lannin, Natasha A

    2011-10-01

    Handwriting is an important activity for people of all ages. Handwriting is frequently affected after stroke and other neurological conditions. However, research on the handwriting of healthy adults is difficult to find. This review aims to advance the development of evidence-informed handwriting assessment and retraining. The aim of this paper was to review factors that influence the handwriting performance of unimpaired adults, some of which are amenable to intervention. Searches were conducted of eight electronic databases up to April 2009 and again in November 2010. Reference lists were also used to identify potential studies of interest. No limits were placed on study design.  Age: Younger adults write more legibly and faster than older adults. Gender: Women write faster and more legibly than men. Pengrip: Grips other than the traditional dynamic tripod are functional, producing legible text in an acceptable time. Pen pressure: Pressure varies with different letters, words, text size, speed and across a page of text. Error corrections and a mixed writing style occur in healthy adult handwriting. Research was inconclusive about the association between speed, pressure and upper limb movements on handwriting performance. Other factors able to predict adult handwriting legibility have been largely unexplored. A number of knowledge and research gaps about adult handwriting were identified, including the need for more contemporary normative data. © 2011 The Authors. Australian Occupational Therapy Journal © 2011 Occupational Therapy Australia.

  2. Min-cut segmentation of cursive handwriting in tabular documents

    NASA Astrophysics Data System (ADS)

    Davis, Brian L.; Barrett, William A.; Swingle, Scott D.

    2015-01-01

    Handwritten tabular documents, such as census, birth, death and marriage records, contain a wealth of information vital to genealogical and related research. Much work has been done in segmenting freeform handwriting, however, segmentation of cursive handwriting in tabular documents is still an unsolved problem. Tabular documents present unique segmentation challenges caused by handwriting overlapping cell-boundaries and other words, both horizontally and vertically, as "ascenders" and "descenders" overlap into adjacent cells. This paper presents a method for segmenting handwriting in tabular documents using a min-cut/max-flow algorithm on a graph formed from a distance map and connected components of handwriting. Specifically, we focus on line, word and first letter segmentation. Additionally, we include the angles of strokes of the handwriting as a third dimension to our graph to enable the resulting segments to share pixels of overlapping letters. Word segmentation accuracy is 89.5% evaluating lines of the data set used in the ICDAR2013 Handwriting Segmentation Contest. Accuracy is 92.6% for a specific application of segmenting first and last names from noisy census records. Accuracy for segmenting lines of names from noisy census records is 80.7%. The 3D graph cutting shows promise in segmenting overlapping letters, although highly convoluted or overlapping handwriting remains an ongoing challenge.

  3. A computerized multidimensional measurement of mental workload via handwriting analysis.

    PubMed

    Luria, Gil; Rosenblum, Sara

    2012-06-01

    The goal of this study was to test the effect of mental workload on handwriting behavior and to identify characteristics of low versus high mental workload in handwriting. We hypothesized differences between handwriting under three different load conditions and tried to establish a profile that integrated these indicators. Fifty-six participants wrote three numerical progressions of varying difficulty on a digitizer attached to a computer so that we could evaluate their handwriting behavior. Differences were found in temporal, spatial, and angular velocity handwriting measures, but no significant differences were found for pressure measures. Using data reduction, we identified three clusters of handwriting, two of which differentiated well according to the three mental workload conditions. We concluded that handwriting behavior is affected by mental workload and that each measure provides distinct information, so that they present a comprehensive indicator of mental workload.

  4. Age effects on sensory-processing abilities and their impact on handwriting.

    PubMed

    Engel-Yeger, Batya; Hus, Sari; Rosenblum, Sara

    2012-12-01

    Sensory-processing abilities are known to deteriorate in the elderly. As a result, daily activities such as handwriting may be impaired. Yet, knowledge about sensory-processing involvement in handwriting characteristics among older persons is limited. To examine how age influences sensory-processing abilities and the impact on handwriting as a daily performance. The study participants were 118 healthy, independently functioning adults divided into four age groups: 31-45, 46-60, 61-75 and 76+ years. All participants completed the Adolescent/ Adult Sensory Profile (AASP). Handwriting process was documented using the Computerized Handwriting Penmanship Evaluation Tool (ComPET). Age significantly affects sensory processing and handwriting pressure as well as temporal and spatial measures. Both handwriting time and spatial organization of the written product were predicted by sensory seeking. When examining age contribution to the prediction of handwriting by sensory processing, sensory seeking showed a tendency for predicting handwriting pressure (p = .06), while sensory sensitivity significantly predicted handwriting velocity. Age appears to influence sensory-processing abilities and affect daily performance tasks, such as handwriting, for which sensitivity and seeking for sensations are essential. Awareness of clinicians to sensory-processing deficits among older adults and examining their impact on broader daily activities are essential to improve daily performance and quality of life.

  5. Handwriting and Children with Visual Impairments.

    ERIC Educational Resources Information Center

    Arter, Christine; And Others

    1996-01-01

    Teaching methods to develop the handwriting skills of children who have low vision are discussed. Difficulties are seen to result from problems with motor skills, visual factors, and mechanical difficulties. Stressed throughout is adaptation of the handwriting program to the particular needs of the individual child. (DB)

  6. Fluctuation analysis of proficient and dysgraphic handwriting in children

    NASA Astrophysics Data System (ADS)

    Rosenblum, S.; Roman, H. E.

    2009-03-01

    We analyze handwriting records from several school children with the aim of characterizing the fluctuating behavior of the writing speed. It will be concluded that remarkable differences exist between proficient and dysgraphic handwritings which were unknown so far. It is shown that in the case of proficient handwriting, the variations in handwriting speed are strongly autocorrelated within times corresponding to the completion of a single character or letter, while become uncorrelated at longer times. In the case of dysgraphia, such correlations persist on longer time scales and the autocorrelation function seems to display algebraic time decay, indicating the presence of strong anomalies in the handwriting process. Applications of the results in educational/clinical programs are envisaged.

  7. Pattern Recognition Using Artificial Neural Network: A Review

    NASA Astrophysics Data System (ADS)

    Kim, Tai-Hoon

    Among the various frameworks in which pattern recognition has been traditionally formulated, the statistical approach has been most intensively studied and used in practice. More recently, artificial neural network techniques theory have been receiving increasing attention. The design of a recognition system requires careful attention to the following issues: definition of pattern classes, sensing environment, pattern representation, feature extraction and selection, cluster analysis, classifier design and learning, selection of training and test samples, and performance evaluation. In spite of almost 50 years of research and development in this field, the general problem of recognizing complex patterns with arbitrary orientation, location, and scale remains unsolved. New and emerging applications, such as data mining, web searching, retrieval of multimedia data, face recognition, and cursive handwriting recognition, require robust and efficient pattern recognition techniques. The objective of this review paper is to summarize and compare some of the well-known methods used in various stages of a pattern recognition system using ANN and identify research topics and applications which are at the forefront of this exciting and challenging field.

  8. Handwritten document age classification based on handwriting styles

    NASA Astrophysics Data System (ADS)

    Ramaiah, Chetan; Kumar, Gaurav; Govindaraju, Venu

    2012-01-01

    Handwriting styles are constantly changing over time. We approach the novel problem of estimating the approximate age of Historical Handwritten Documents using Handwriting styles. This system will have many applications in handwritten document processing engines where specialized processing techniques can be applied based on the estimated age of the document. We propose to learn a distribution over styles across centuries using Topic Models and to apply a classifier over weights learned in order to estimate the approximate age of the documents. We present a comparison of different distance metrics such as Euclidean Distance and Hellinger Distance within this application.

  9. Preliminary study towards the development of copying skill assessment on dyslexic children in Jawi handwriting

    NASA Astrophysics Data System (ADS)

    Rahim, Kartini Abdul; Kahar, Rosmila Abdul; Khalid, Halimi Mohd.; Salleh, Rohayu Mohd; Hashim, Rathiah

    2015-05-01

    Recognition of Arabic handwritten and its variants such as Farsi (Persian) and Urdu had been receiving considerable attention in recent years. Being contrast to Arabic handwritten, Jawi, as a second method of Malay handwritten, has not been studied yet, but if any, there were a few references on it. The recent transformation in Malaysian education, the Special Education is one of the priorities in the Malaysia Blueprint. One of the special needs quoted in Malaysia education is dyslexia. A dyslexic student is considered as student with learning disability. Concluding a student is truly dyslexia might be incorrect for they were only assessed through Roman alphabet, without considering assessment via Jawi handwriting. A study was conducted on dyslexic students attending a special class for dyslexia in Malay Language to determine whether they are also dyslexia in Jawi handwriting. The focus of the study is to test the copying skills in relation to word reading and writing in Malay Language with and without dyslexia through both characters. A total of 10 dyslexic children and 10 normal children were recruited. In conclusion for future study, dyslexic students have less difficulty in performing Jawi handwriting in Malay Language through statistical analysis.

  10. Effectiveness of a self-regulated remedial program for handwriting difficulties.

    PubMed

    Van Waelvelde, Hilde; De Roubaix, Amy; Steppe, Lien; Troubleyn, Evy; De Mey, Barbara; Dewitte, Griet; Debrabant, Julie; Van de Velde, Dominique

    2017-09-01

    Handwriting difficulties may have pervasive effects on a child's school performance. I Can! is a remedial handwriting program with a focus on self-regulated learning and applying motor learning principles combined with a behavioural approach. It is developed for typically developing children with handwriting problems. The study aim was to evaluate the program's effectiveness. Thirty-one children aged 7-8 year participated in a cross-over study. Handwriting quality and speed were repeatedly assessed by means of the Systematic Screening of Handwriting Difficulties test. Difficulties addressed were fluency in letter formation, fluency in letter connections, letter height, regularity of letter height, space between words, and line path. Mixed model analysis revealed improved quality of writing and speed for all children but significantly more improvement in handwriting quality for the children participating in the program. Although writing speed improved over time, no additional effects of the program occurred. 'I Can!' is found to be an effective instructive program to ameliorate handwriting quality in typically developing children with handwriting difficulties. The program's success was by a therapy burst of only 7 weeks focusing on the child's self-regulated learning capacities, within an individualized education plan according to their needs and goals.

  11. Handwriting or Typewriting? The Influence of Pen- or Keyboard-Based Writing Training on Reading and Writing Performance in Preschool Children.

    PubMed

    Kiefer, Markus; Schuler, Stefanie; Mayer, Carmen; Trumpp, Natalie M; Hille, Katrin; Sachse, Steffi

    2015-01-01

    Digital writing devices associated with the use of computers, tablet PCs, or mobile phones are increasingly replacing writing by hand. It is, however, controversially discussed how writing modes influence reading and writing performance in children at the start of literacy. On the one hand, the easiness of typing on digital devices may accelerate reading and writing in young children, who have less developed sensory-motor skills. On the other hand, the meaningful coupling between action and perception during handwriting, which establishes sensory-motor memory traces, could facilitate written language acquisition. In order to decide between these theoretical alternatives, for the present study, we developed an intense training program for preschool children attending the German kindergarten with 16 training sessions. Using closely matched letter learning games, eight letters of the German alphabet were trained either by handwriting with a pen on a sheet of paper or by typing on a computer keyboard. Letter recognition, naming, and writing performance as well as word reading and writing performance were assessed. Results did not indicate a superiority of typing training over handwriting training in any of these tasks. In contrast, handwriting training was superior to typing training in word writing, and, as a tendency, in word reading. The results of our study, therefore, support theories of action-perception coupling assuming a facilitatory influence of sensory-motor representations established during handwriting on reading and writing.

  12. Examining First Grade Teachers' Handwriting Instruction

    ERIC Educational Resources Information Center

    Arslan, Derya

    2012-01-01

    The purpose of this study is to examine the first grade teachers' practices of handwriting instructions in terms of teaching, evaluation and handwriting difficulties. From qualitative research patterns, phenomenology was used. The study was applied to the 54 First grade teachers who work at central Burdur and Burdur county centre primary education…

  13. Visual improvement for bad handwriting based on Monte-Carlo method

    NASA Astrophysics Data System (ADS)

    Shi, Cao; Xiao, Jianguo; Xu, Canhui; Jia, Wenhua

    2014-03-01

    A visual improvement algorithm based on Monte Carlo simulation is proposed in this paper, in order to enhance visual effects for bad handwriting. The whole improvement process is to use well designed typeface so as to optimize bad handwriting image. In this process, a series of linear operators for image transformation are defined for transforming typeface image to approach handwriting image. And specific parameters of linear operators are estimated by Monte Carlo method. Visual improvement experiments illustrate that the proposed algorithm can effectively enhance visual effect for handwriting image as well as maintain the original handwriting features, such as tilt, stroke order and drawing direction etc. The proposed visual improvement algorithm, in this paper, has a huge potential to be applied in tablet computer and Mobile Internet, in order to improve user experience on handwriting.

  14. Methods and Systems for Representing, Using and Displaying Time-Varying Information on the Semantic Web

    DTIC Science & Technology

    2013-11-26

    Combination with Simple Features," lEE European Workshop on Handwriting Analysis and Recognition, pp. 6/1-6, Brussels, Jul. 1994. Bock, J., et a...Document Analysis and Recognition, pp. 147-150, Oct. 1993. Starner, T., eta!., "On-Line Cursive Handwriting Recognition Using Speech Recognition Methods

  15. The impact of Graves' disease and its treatment on handwriting characteristics.

    PubMed

    Papi, Giampaolo; Botti, Cristina; Corsello, Salvatore Maria; Ciardullo, Anna Vittoria; Pontecorvi, Alfredo; Hegedüs, Laszlo

    2014-08-01

    Thyroid hormones are crucial for metabolism in all tissues in humans, including the nervous system and muscles, and could thus affect handwriting, which is the synthesis of complex and fine movements. Hyperthyroidism, characterized by symptoms such as tremor and weakness, could affect handwriting, although this has not been studied yet. The aim of this study was to evaluate handwriting characteristics before and after therapy for hyperthyroid Graves' disease (GD). Twenty-two patients (15 women, 7 men) with untreated GD (median age: 44 years; range: 20-70 years) were asked to write a "standard text" before and 12 months after being rendered euthyroid. The letters underwent a standardized detailed analysis by a handwriting expert, through inspection and stereoscopic microscope and magnifying glass. All patients demonstrated handwriting variations, perceptible even to direct observation. Graphological examination showed statistically significant changes after patients become euthyroid, in the following parameters: size of letters (4.5±1.1 vs. 5.9±1.3 mm; p<0.01), distance between letters (62.9±1.1 vs. 55.2±0.8 mm; p<0.01), width of letters (1.75±0.06 vs. 2.2±0 .06 mm; p<0.01), distance between words (216.2±3.2 vs. 198.7±2.4 mm; p<0.01), extension of letters (8.7±0.2 vs. 7.7±0.2 mm; p<0.01), angles (17±0.3 vs. 15.8±0.4 mm; p<0.01), and groove depth (0.2±0.05 vs. 0.4±0.05 mm; p<0.01). Hyperthyroid GD was associated with significant changes in handwriting in all patients. Following recovery from hyperthyroidism, a state of hypertrophic and contracted handwriting resulted in greater fluency and fluidity. Variations in handwriting should be included as signs/symptoms in GD.

  16. An examination of the effectiveness of Handwriting Without Tears instruction.

    PubMed

    Roberts, Gwenyth I; Derkach-Ferguson, Alanna F; Siever, Jodi E; Rose, M Sarah

    2014-04-01

    Handwriting is an important childhood occupation, and implications of poor handwriting may have significant long-term effects. The purpose of this study was to determine the effectiveness of Handwriting Without Tears (HWT) on Grade I students' handwriting and perception of skills. A cross-over design was used. Repeated measures, at three points, included the Minnesota Handwriting Assessment (MHA) and performance rating scales. Eighty-three boys and 66 girls with an average age of 6.2 years participated in the study. Students receiving HWT achieved significantly higher improvements compared to students with teacher-designed instruction in MHA Total Test Score and in MHA components of form, size, space, and alignment (all p < .05). Students had higher average performance ratings when receiving HWT in the first half of the school year. Instruction using HWT improves students' perception and skill in handwriting performance.

  17. Perceptual reasoning predicts handwriting impairments in adolescents with autism

    PubMed Central

    Fuentes, Christina T.; Mostofsky, Stewart H.; Bastian, Amy J.

    2010-01-01

    Background: We have previously shown that children with autism spectrum disorder (ASD) have specific handwriting deficits consisting of poor form, and that these deficits are predicted by their motor abilities. It is not known whether the same handwriting impairments persist into adolescence and whether they remain linked to motor deficits. Methods: A case-control study of handwriting samples from adolescents with and without ASD was performed using the Minnesota Handwriting Assessment. Samples were scored on an individual letter basis in 5 categories: legibility, form, alignment, size, and spacing. Subjects were also administered an intelligence test and the Physical and Neurological Examination for Subtle (Motor) Signs (PANESS). Results: We found that adolescents with ASD, like children, show overall worse performance on a handwriting task than do age- and intelligence-matched controls. Also comparable to children, adolescents with ASD showed motor impairments relative to controls. However, adolescents with ASD differ from children in that Perceptual Reasoning Indices were significantly predictive of handwriting performance whereas measures of motor skills were not. Conclusions: Like children with ASD, adolescents with ASD have poor handwriting quality relative to controls. Despite still demonstrating motor impairments, in adolescents perceptual reasoning is the main predictor of handwriting performance, perhaps reflecting subjects' varied abilities to learn strategies to compensate for their motor impairments. GLOSSARY ASD = autism spectrum disorder; DSM-IV = Diagnostic and Statistical Manual of Mental Disorders, 4th edition; PANESS = Physical and Neurological Examination for Subtle (Motor) Signs; PRI = Perceptual Reasoning Index; WASI = Wechsler Abbreviated Scale of Intelligence; WISC = Wechsler Intelligence Scale for Children IV. PMID:21079184

  18. Basic and supplementary sensory feedback in handwriting

    PubMed Central

    Danna, Jérémy; Velay, Jean-Luc

    2015-01-01

    The mastering of handwriting is so essential in our society that it is important to try to find new methods for facilitating its learning and rehabilitation. The ability to control the graphic movements clearly impacts on the quality of the writing. This control allows both the programming of letter formation before movement execution and the online adjustments during execution, thanks to diverse sensory feedback (FB). New technologies improve existing techniques or enable new methods to supply the writer with real-time computer-assisted FB. The possibilities are numerous and various. Therefore, two main questions arise: (1) What aspect of the movement is concerned and (2) How can we best inform the writer to help them correct their handwriting? In a first step, we report studies on FB naturally used by the writer. The purpose is to determine which information is carried by each sensory modality, how it is used in handwriting control and how this control changes with practice and learning. In a second step, we report studies on supplementary FB provided to the writer to help them to better control and learn how to write. We suggest that, depending on their contents, certain sensory modalities will be more appropriate than others to assist handwriting motor control. We emphasize particularly the relevance of auditory modality as online supplementary FB on handwriting movements. Using real-time supplementary FB to assist in the handwriting process is probably destined for a brilliant future with the growing availability and rapid development of tablets. PMID:25750633

  19. Decision support framework for Parkinson's disease based on novel handwriting markers.

    PubMed

    Drotár, Peter; Mekyska, Jiří; Rektorová, Irena; Masarová, Lucia; Smékal, Zdeněk; Faundez-Zanuy, Marcos

    2015-05-01

    Parkinson's disease (PD) is a neurodegenerative disorder which impairs motor skills, speech, and other functions such as behavior, mood, and cognitive processes. One of the most typical clinical hallmarks of PD is handwriting deterioration, usually the first manifestation of PD. The aim of this study is twofold: (a) to find a subset of handwriting features suitable for identifying subjects with PD and (b) to build a predictive model to efficiently diagnose PD. We collected handwriting samples from 37 medicated PD patients and 38 age- and sex-matched controls. The handwriting samples were collected during seven tasks such as writing a syllable, word, or sentence. Every sample was used to extract the handwriting measures. In addition to conventional kinematic and spatio-temporal handwriting measures, we also computed novel handwriting measures based on entropy, signal energy, and empirical mode decomposition of the handwriting signals. The selected features were fed to the support vector machine classifier with radial Gaussian kernel for automated diagnosis. The accuracy of the classification of PD was as high as 88.13%, with the highest values of sensitivity and specificity equal to 89.47% and 91.89%, respectively. Handwriting may be a valuable marker as a diagnostic and screening tool.

  20. Helping Hands: A World of Manipulatives To Boost Handwriting Skills.

    ERIC Educational Resources Information Center

    Naus, June M.

    2000-01-01

    This article identifies possible causes of handwriting difficulties and suggests activities to facilitate the development of hand muscles and handwriting skills. It discusses handwriting readiness, wrist stability, hand development activities, pencil grasp, hand dominance, eye-hand coordination, basic strokes, general readiness skills, writing…

  1. Handwriting difficulties of children with Charcot-Marie-Tooth disease type 1A.

    PubMed

    Kunovsky, Daniel; Cordier, Reinie; Bray, Paula; Burns, Joshua

    2017-03-01

    Hand weakness and impaired manual dexterity have been reported in children with Charcot-Marie-Tooth disease type 1A (CMT1A). This early onset of upper limb involvement might explain frequent clinical referrals for assessment and treatment of impaired handwriting performance. The aim of this study was to examine the impact of CMT1A on handwriting speed and legibility, and identify demographic, anthropometric, and physical measures that might relate to handwriting performance. Handwriting speed (Handwriting Speed Test), handwriting legibility (Evaluation Tool of Children's Handwriting-Cursive), and hand strength (hand-held dynamometry of tip pinch, lateral pinch and grip) were assessed in 30 children with CMT1A (aged 8-17 years) and 30 age- and sex-matched controls. Children with CMT1A exhibited 34% slower handwriting speed (p < 0.0001) with 4% reduced legibility (p = 0.001) and 37-48% lower hand strength (p < 0.0001). All measures of strength, age, height, and weight were positively associated with handwriting speed (r = 0.39-0.79, p < 0.01). None of these factors related to handwriting legibility (p > 0.05). Regression modelling identified a diagnosis of CMT1A, lateral pinch weakness and younger age as significant independent predictors of slower handwriting speed, explaining 78% of the variance. Children with CMT1A have considerable handwriting difficulties, primarily with speed, and substantial associated hand and finger weakness. Understanding the cause-effect relationship between strength and function might provide modifiable targets for upper limb intervention. © 2016 Peripheral Nerve Society.

  2. Effectiveness of a co-taught handwriting program for first grade students.

    PubMed

    Case-Smith, Jane; Holland, Terri; White, Susan

    2014-02-01

    Our study examined the effects of Write Start, a classroom-embedded handwriting/writing program on handwriting and writing fluency for first grade students, co-taught by occupational therapists and teachers. Two first grade classrooms received the Write Start and two received standard handwriting instruction. This co-taught program included specific feedback during handwriting practice, small group activities, student self-evaluation, and peer supports. The students were evaluated on handwriting legibility, fluency, and written expression at baseline, immediately after the program, and 6 months later. When performance was compared between the two groups, the students in the Write Start program improved significantly more in legibility (d = .57) and fluency (d = .75) than students who received standard instruction. Gains in handwriting speed (d = .18), average legibility (d = .26), and written expression (d = .25) did not differ significantly between the two groups. A co-taught, inclusive handwriting/writing program can promote first grade students' achievement of lower case legibility and writing fluency.

  3. SOS: a screening instrument to identify children with handwriting impairments.

    PubMed

    Van Waelvelde, Hilde; Hellinckx, Tinneke; Peersman, Wim; Smits-Engelsman, Bouwien C M

    2012-08-01

    Poor handwriting has been shown to be associated with developmental disorders such as Developmental Coordination Disorder, Attention Deficit Hyperactivity Disorder, autism, and learning disorders. Handwriting difficulties could lead to academic underachievement and poor self-esteem. Therapeutic intervention has been shown to be effective in treating children with poor handwriting, making early identification critical. The SOS test (Systematic Screening for Handwriting Difficulties) has been developed for this purpose. A child copies a sample of writing within 5 min. Handwriting quality is evaluated using six criteria and writing speed is measured. The Dutch SOS test was administered to 860 Flemish children (7-12 years). Inter- and intrarater reliability was excellent. Test-retest reliability was moderate. A correlation coefficient of 0.70 between SOS and "Concise Assessment Methods of Children Handwriting" test (Dutch version) confirmed convergent validity. The SOS allowed discrimination between typically developing children and children in special education, males and females, and different age groups.

  4. Handwriting or Typewriting? The Influence of Pen- or Keyboard-Based Writing Training on Reading and Writing Performance in Preschool Children

    PubMed Central

    Kiefer, Markus; Schuler, Stefanie; Mayer, Carmen; Trumpp, Natalie M.; Hille, Katrin; Sachse, Steffi

    2015-01-01

    Digital writing devices associated with the use of computers, tablet PCs, or mobile phones are increasingly replacing writing by hand. It is, however, controversially discussed how writing modes influence reading and writing performance in children at the start of literacy. On the one hand, the easiness of typing on digital devices may accelerate reading and writing in young children, who have less developed sensory-motor skills. On the other hand, the meaningful coupling between action and perception during handwriting, which establishes sensory-motor memory traces, could facilitate written language acquisition. In order to decide between these theoretical alternatives, for the present study, we developed an intense training program for preschool children attending the German kindergarten with 16 training sessions. Using closely matched letter learning games, eight letters of the German alphabet were trained either by handwriting with a pen on a sheet of paper or by typing on a computer keyboard. Letter recognition, naming, and writing performance as well as word reading and writing performance were assessed. Results did not indicate a superiority of typing training over handwriting training in any of these tasks. In contrast, handwriting training was superior to typing training in word writing, and, as a tendency, in word reading. The results of our study, therefore, support theories of action-perception coupling assuming a facilitatory influence of sensory-motor representations established during handwriting on reading and writing. PMID:26770286

  5. Handwriting changes due to aging and Parkinson's syndrome.

    PubMed

    Walton, J

    1997-08-22

    Wills signed by elderly people are often contested on the grounds the the signature is different from their earlier specimen signatures. Neurological disease, which can affect handwriting, is very common and progressive amongst elderly people. Handwriting change due to old age and neurological disease is poorly understood. To better understand this subject, we carried out a large methodical study based on almost 200 handwriting specimens of Parkinson patients and age-matched controls. Interestingly, our findings indicate that some of the handwriting changes which occur in these populations tend to resemble forgery indicia although upon close inspection they are distinguishable from them. Thus, document examiners are urged to exercise caution in assessing purported forgeries on wills and other documents signed of written during older age or a writer suffering from neurological disease.

  6. Assessing handwriting intervention effectiveness in elementary school students: a two-group controlled study.

    PubMed

    Howe, Tsu-Hsin; Roston, Karen Laurie; Sheu, Ching-Fan; Hinojosa, Jim

    2013-01-01

    This study examined the effectiveness of two approaches used in elementary schools to improve children's handwriting. Participants were 72 New York City public school students from the first and second grades. A nonequivalent pretest-posttest group design was used in which students engaged in handwriting activities using two approaches: intensive handwriting practice and visual-perceptual-motor activities. Handwriting speed, legibility, and visual-motor skills were examined after a 12-wk Handwriting Club using multivariate analysis of variance. The results showed that students in the intensive handwriting practice group demonstrated significant improvements in handwriting legibility compared with students in the visual-perceptual-motor activity group. No significant effects in handwriting speed and visual-motor skills were found between the students in intensive handwriting practice group and the students in visual-perceptual-motor activities group. The Handwriting Club model is a natural intervention that fits easily into existing school curriculums and can be an effective short-term intervention (response to intervention Tier II). Copyright © 2013 by the American Occupational Therapy Association, Inc.

  7. Multi-model approach to characterize human handwriting motion.

    PubMed

    Chihi, I; Abdelkrim, A; Benrejeb, M

    2016-02-01

    This paper deals with characterization and modelling of human handwriting motion from two forearm muscle activity signals, called electromyography signals (EMG). In this work, an experimental approach was used to record the coordinates of a pen tip moving on the (x, y) plane and EMG signals during the handwriting act. The main purpose is to design a new mathematical model which characterizes this biological process. Based on a multi-model approach, this system was originally developed to generate letters and geometric forms written by different writers. A Recursive Least Squares algorithm is used to estimate the parameters of each sub-model of the multi-model basis. Simulations show good agreement between predicted results and the recorded data.

  8. Functional MRI of Handwriting Tasks: A Study of Healthy Young Adults Interacting with a Novel Touch-Sensitive Tablet

    PubMed Central

    Karimpoor, Mahta; Churchill, Nathan W.; Tam, Fred; Fischer, Corinne E.; Schweizer, Tom A.; Graham, Simon J.

    2018-01-01

    Handwriting is a complex human activity that engages a blend of cognitive and visual motor skills. Current understanding of the neural correlates of handwriting has largely come from lesion studies of patients with impaired handwriting. Task-based fMRI studies would be useful to supplement this work. To address concerns over ecological validity, previously we developed a fMRI-compatible, computerized tablet system for writing and drawing including visual feedback of hand position and an augmented reality display. The purpose of the present work is to use the tablet system in proof-of-concept to characterize brain activity associated with clinically relevant handwriting tasks, originally developed to characterize handwriting impairments in Alzheimer’s disease patients. As a prelude to undertaking fMRI studies of patients, imaging was performed of twelve young healthy subjects who copied sentences, phone numbers, and grocery lists using the fMRI-compatible tablet. Activation maps for all handwriting tasks consisted of a distributed network of regions in reasonable agreement with previous studies of handwriting performance. In addition, differences in brain activity were observed between the test subcomponents consistent with different demands of neural processing for successful task performance, as identified by investigating three quantitative behavioral metrics (writing speed, stylus contact force and stylus in air time). This study provides baseline behavioral and brain activity results for fMRI studies that adopt this handwriting test to characterize patients with brain impairments. PMID:29487511

  9. Functional MRI of Handwriting Tasks: A Study of Healthy Young Adults Interacting with a Novel Touch-Sensitive Tablet.

    PubMed

    Karimpoor, Mahta; Churchill, Nathan W; Tam, Fred; Fischer, Corinne E; Schweizer, Tom A; Graham, Simon J

    2018-01-01

    Handwriting is a complex human activity that engages a blend of cognitive and visual motor skills. Current understanding of the neural correlates of handwriting has largely come from lesion studies of patients with impaired handwriting. Task-based fMRI studies would be useful to supplement this work. To address concerns over ecological validity, previously we developed a fMRI-compatible, computerized tablet system for writing and drawing including visual feedback of hand position and an augmented reality display. The purpose of the present work is to use the tablet system in proof-of-concept to characterize brain activity associated with clinically relevant handwriting tasks, originally developed to characterize handwriting impairments in Alzheimer's disease patients. As a prelude to undertaking fMRI studies of patients, imaging was performed of twelve young healthy subjects who copied sentences, phone numbers, and grocery lists using the fMRI-compatible tablet. Activation maps for all handwriting tasks consisted of a distributed network of regions in reasonable agreement with previous studies of handwriting performance. In addition, differences in brain activity were observed between the test subcomponents consistent with different demands of neural processing for successful task performance, as identified by investigating three quantitative behavioral metrics (writing speed, stylus contact force and stylus in air time). This study provides baseline behavioral and brain activity results for fMRI studies that adopt this handwriting test to characterize patients with brain impairments.

  10. Remembering the orientation of newly learned characters depends on the associated writing knowledge: a comparison between handwriting and typing.

    PubMed

    Longcamp, Marieke; Boucard, Céline; Gilhodes, Jean-Claude; Velay, Jean-Luc

    2006-10-01

    Recent data support the idea that movements play a crucial role in letter representation and suggest that handwriting knowledge contributes to visual recognition of letters. If so, using different motor activities while subjects are learning to write should affect their subsequent recognition performances. In order to test this hypothesis, we trained adult participants to write new characters either by copying them or by typing them on a keyboard. After three weeks of training we ran a series of tests requiring visual processing of the characters' orientation. Tests were ran immediately, one week after, and three weeks after the end of the training period. Results showed that when the characters had been learned by typing, they were more frequently confused with their mirror images than when they had been written by hand. This handwriting advantage did not appear immediately, but mostly three weeks after the end of the training. Our results therefore suggest that the stability of the characters' representation in memory depends on the nature of the motor activity produced during learning.

  11. The Links between Handwriting and Composing for Y6 Children

    ERIC Educational Resources Information Center

    Medwell, Jane; Strand, Steve; Wray, David

    2009-01-01

    Although handwriting is often considered a matter of presentation, a substantial body of international research suggests that the role of handwriting in children's composing has been neglected. Automaticity in handwriting is now seen as of key importance in composing but this proposition is relatively untested in the UK and the assumption has been…

  12. Development of Early Handwriting: Visual-Motor Control during Letter Copying

    ERIC Educational Resources Information Center

    Maldarelli, Jennifer E.; Kahrs, Björn A.; Hunt, Sarah C.; Lockman, Jeffrey J.

    2015-01-01

    Despite the importance of handwriting for school readiness and early academic progress, prior research on the development of handwriting has focused primarily on the product rather than the process by which young children write letters. In contrast, in the present work, early handwriting is viewed as involving a suite of perceptual, motor, and…

  13. Handwriting Automaticity: The Search for Performance Thresholds

    ERIC Educational Resources Information Center

    Medwell, Jane; Wray, David

    2014-01-01

    Evidence is accumulating that handwriting has an important role in written composition. In particular, handwriting automaticity appears to relate to success in composition. This relationship has been little explored in British contexts and we currently have little idea of what threshold performance levels might be. In this paper, we report on two…

  14. Advanced Restricted Area Entry Control System (Araecs)

    DTIC Science & Technology

    2014-06-01

    113  f.  Vascular Recognition ............................................................115  g.  Handwriting Recognition...independent (unconstrained mode). In a system using “text dependent” speech the individual will speak either a fixed password or prompted to say a...specific phrase (e.g. “Please say the following numbers 33, 45, 88”) (National Science and Technology Council 2006). A text independent system is more

  15. Size variability of handwriting in healthy Korean older adults.

    PubMed

    Yoon, Ji Hye; Kim, Hyanghee; Kim, Jungwan; Park, Eunjeong; Kim, Soo Ryon

    2014-04-01

    The aim of the present study was to delineate how age-related deterioration affects the handwriting of healthy elderly (HE) subjects. A total of 235 HE (54 males, 181 females) aged 57-91 years participated as subjects in the study. In order to compare the area of handwriting, we divided the participants into two groups: (i) aged 57-74 years; and (ii) aged 75-91 years. The writing stimulus was a four-syllabic word with one-to-one grapheme-to-phoneme correspondence. The size of each syllable in the target word was measured using a software program. Alignment of the word to baseline was assessed using a multiple-choice checklist. As compared with handwriting by the younger group, the older group showed greater variability in the size of the written syllables within the word (P = 0.023). The handwriting was characterized by unequal size among syllables and non-perpendicular alignment, which could be explained by several factors. First, the variability might have resulted from irregular fine movement motor control in older adults. Second, the deterioration of visual feedback and visuomotor integration in normal aging might have affected handwriting performance. In conclusion, variability of handwriting can be sensitive in predicting the aging process. © 2013 Japan Geriatrics Society.

  16. A System for Reflective Learning Using Handwriting Tablet Devices for Real-Time Event Bookmarking into Simultaneously Recorded Videos

    ERIC Educational Resources Information Center

    Nakajima, Taira

    2012-01-01

    The author demonstrates a new system useful for reflective learning. Our new system offers an environment that one can use handwriting tablet devices to bookmark symbolic and descriptive feedbacks into simultaneously recorded videos in the environment. If one uses video recording and feedback check sheets in reflective learning sessions, one can…

  17. Understanding handwriting difficulties: A comparison of children with and without motor impairment.

    PubMed

    Prunty, Mellissa; Barnett, Anna L

    The nature of handwriting difficulties have been explored in children with specific developmental disorders. The aim of this study was to investigate the nature of handwriting difficulties in children with dysgraphia, a less studied group who have significant handwriting difficulties in the absence of motor control or cognitive difficulties. The performance of a dysgraphia group aged 8-14 years was compared to a group with Developmental Coordination Disorder and to typically developing (TD) controls. Participants completed two handwriting tasks on a digitizing writing tablet. The amount and accuracy of the handwriting product was measured, plus various temporal and spatial features of the writing process. There were no significant differences in performance between the two groups with handwriting difficulties but both performed more poorly than the TD group. Individual differences in the type and severity of handwriting impairments suggest the need for a range of classroom assessments to tailor intervention appropriately.

  18. Public domain optical character recognition

    NASA Astrophysics Data System (ADS)

    Garris, Michael D.; Blue, James L.; Candela, Gerald T.; Dimmick, Darrin L.; Geist, Jon C.; Grother, Patrick J.; Janet, Stanley A.; Wilson, Charles L.

    1995-03-01

    A public domain document processing system has been developed by the National Institute of Standards and Technology (NIST). The system is a standard reference form-based handprint recognition system for evaluating optical character recognition (OCR), and it is intended to provide a baseline of performance on an open application. The system's source code, training data, performance assessment tools, and type of forms processed are all publicly available. The system recognizes the handprint entered on handwriting sample forms like the ones distributed with NIST Special Database 1. From these forms, the system reads hand-printed numeric fields, upper and lowercase alphabetic fields, and unconstrained text paragraphs comprised of words from a limited-size dictionary. The modular design of the system makes it useful for component evaluation and comparison, training and testing set validation, and multiple system voting schemes. The system contains a number of significant contributions to OCR technology, including an optimized probabilistic neural network (PNN) classifier that operates a factor of 20 times faster than traditional software implementations of the algorithm. The source code for the recognition system is written in C and is organized into 11 libraries. In all, there are approximately 19,000 lines of code supporting more than 550 subroutines. Source code is provided for form registration, form removal, field isolation, field segmentation, character normalization, feature extraction, character classification, and dictionary-based postprocessing. The recognition system has been successfully compiled and tested on a host of UNIX workstations. This paper gives an overview of the recognition system's software architecture, including descriptions of the various system components along with timing and accuracy statistics.

  19. Automatically measuring the effect of strategy drawing features on pupils' handwriting and gender

    NASA Astrophysics Data System (ADS)

    Tabatabaey-Mashadi, Narges; Sudirman, Rubita; Guest, Richard M.; Khalid, Puspa Inayat

    2013-12-01

    Children's dynamic drawing strategies have been recently recognized as indicators of handwriting ability. However the influence of each feature in predicting handwriting is unknown due to lack of a measuring system. An automated measuring algorithm suitable for psychological assessment and non-subjective scoring is presented here. Using the weight vector and classification rate of a machine learning algorithm, an overall feature's effect is calculated which is comparable in different groupings. In this study thirteen previously detected drawing strategy features are measured for their influence on handwriting and gender. Features are extracted from drawing a triangle, Beery VMI and Bender Gestalt tangent patterns. Samples are related to 203 pupils (77 below average writers, and 101 female). The results show that the number of strokes in drawing the triangle pattern plays a major role in both groupings; however Left Tendency flag feature is affected by children's handwriting about 2.5 times greater than their gender. Experiments indicate that different forms of a feature sometimes show different influences.

  20. Kinesthetic sensitivity and related measures of hand sensitivity in children with nonproficient handwriting.

    PubMed

    Brink, Anne O'Leary; Jacobs, Anne Burleigh

    2011-01-01

    This study compared measures of hand sensitivity and handwriting quality in children aged 10 to 12 years identified by their teachers as having nonproficient or proficient handwriting. We hypothesized that children with nonproficient handwriting have decreased kinesthetic sensitivity of the hands and digits. Sixteen subjects without documented motor or cognitive concerns were tested for kinesthetic sensitivity, discriminate tactile awareness, diadochokinesia, stereognosis, and graphesthesia. Eight children were considered to have nonproficient handwriting; 8 had proficient handwriting. Nonparametric Mann-Whitney U tests were used to identify differences between groups on sensory tests. The 2 groups showed a statistically significant difference in handwriting legibility (P = .018). No significant difference was found on tests of kinesthetic sensitivity or other measures of sensation. Children presenting with handwriting difficulty as the only complaint have similar sensitivity in hands and digits as those with proficient handwriting. Failure to detect differences may result from a small sample size.

  1. The lognormal handwriter: learning, performing, and declining.

    PubMed

    Plamondon, Réjean; O'Reilly, Christian; Rémi, Céline; Duval, Thérésa

    2013-01-01

    The generation of handwriting is a complex neuromotor skill requiring the interaction of many cognitive processes. It aims at producing a message to be imprinted as an ink trace left on a writing medium. The generated trajectory of the pen tip is made up of strokes superimposed over time. The Kinematic Theory of rapid human movements and its family of lognormal models provide analytical representations of these strokes, often considered as the basic unit of handwriting. This paradigm has not only been experimentally confirmed in numerous predictive and physiologically significant tests but it has also been shown to be the ideal mathematical description for the impulse response of a neuromuscular system. This latter demonstration suggests that the lognormality of the velocity patterns can be interpreted as reflecting the behavior of subjects who are in perfect control of their movements. To illustrate this interpretation, we present a short overview of the main concepts behind the Kinematic Theory and briefly describe how its models can be exploited, using various software tools, to investigate these ideal lognormal behaviors. We emphasize that the parameters extracted during various tasks can be used to analyze some underlying processes associated with their realization. To investigate the operational convergence hypothesis, we report on two original studies. First, we focus on the early steps of the motor learning process as seen as a converging behavior toward the production of more precise lognormal patterns as young children practicing handwriting start to become more fluent writers. Second, we illustrate how aging affects handwriting by pointing out the increasing departure from the ideal lognormal behavior as the control of the fine motricity begins to decline. Overall, the paper highlights this developmental process of merging toward a lognormal behavior with learning, mastering this behavior to succeed in performing a given task, and then gradually

  2. The lognormal handwriter: learning, performing, and declining

    PubMed Central

    Plamondon, Réjean; O'Reilly, Christian; Rémi, Céline; Duval, Thérésa

    2013-01-01

    The generation of handwriting is a complex neuromotor skill requiring the interaction of many cognitive processes. It aims at producing a message to be imprinted as an ink trace left on a writing medium. The generated trajectory of the pen tip is made up of strokes superimposed over time. The Kinematic Theory of rapid human movements and its family of lognormal models provide analytical representations of these strokes, often considered as the basic unit of handwriting. This paradigm has not only been experimentally confirmed in numerous predictive and physiologically significant tests but it has also been shown to be the ideal mathematical description for the impulse response of a neuromuscular system. This latter demonstration suggests that the lognormality of the velocity patterns can be interpreted as reflecting the behavior of subjects who are in perfect control of their movements. To illustrate this interpretation, we present a short overview of the main concepts behind the Kinematic Theory and briefly describe how its models can be exploited, using various software tools, to investigate these ideal lognormal behaviors. We emphasize that the parameters extracted during various tasks can be used to analyze some underlying processes associated with their realization. To investigate the operational convergence hypothesis, we report on two original studies. First, we focus on the early steps of the motor learning process as seen as a converging behavior toward the production of more precise lognormal patterns as young children practicing handwriting start to become more fluent writers. Second, we illustrate how aging affects handwriting by pointing out the increasing departure from the ideal lognormal behavior as the control of the fine motricity begins to decline. Overall, the paper highlights this developmental process of merging toward a lognormal behavior with learning, mastering this behavior to succeed in performing a given task, and then gradually

  3. The Influence of Instructional Variables and Task Constraints on Handwriting Performance

    ERIC Educational Resources Information Center

    Fitzpatrick, Paula; Vander Hart, Nanho; Cortesa, Cathryn

    2013-01-01

    Handwriting is used throughout the school day and is important to demonstrate knowledge. This research evaluated how handwriting instructional practices and intrinsic and extrinsic factors in actual classroom settings impacted learning handwriting over the course of the school year. Findings indicated that extrinsic factors (educational…

  4. Functional handwriting performance in school-age children with fetal alcohol spectrum disorders.

    PubMed

    Duval-White, Cherie J; Jirikowic, Tracy; Rios, Dianne; Deitz, Jean; Olson, Heather Carmichael

    2013-01-01

    Handwriting is a critical skill for school success. Children with fetal alcohol spectrum disorders (FASD) often present with fine motor and visual-motor impairments that can affect handwriting performance, yet handwriting skills have not been systematically investigated in this clinical group. This study aimed to comprehensively describe handwriting skills in 20 school-age children with FASD. Children were tested with the Process Assessment of the Learner, 2nd Edition (PAL-II), and the Visuomotor Precision subtest of NEPSY, a developmental neuropsychological assessment. Participants performed below average on PAL-II measures of handwriting legibility and speed and on NEPSY visual-motor precision tasks. In contrast, PAL-II measures of sensorimotor skills were broadly within the average range. Results provide evidence of functional handwriting challenges for children with FASD and suggest diminished visual-motor skills and increased difficulty as task complexity increases. Future research is needed to further describe the prevalence and nature of handwriting challenges in this population. Copyright © 2013 by the American Occupational Therapy Association, Inc.

  5. Functional Handwriting Performance in School-Age Children With Fetal Alcohol Spectrum Disorders

    PubMed Central

    Duval-White, Cherie J.; Rios, Dianne; Deitz, Jean; Olson, Heather Carmichael

    2013-01-01

    Handwriting is a critical skill for school success. Children with fetal alcohol spectrum disorders (FASD) often present with fine motor and visual–motor impairments that can affect handwriting performance, yet handwriting skills have not been systematically investigated in this clinical group. This study aimed to comprehensively describe handwriting skills in 20 school-age children with FASD. Children were tested with the Process Assessment of the Learner, 2nd Edition (PAL–II), and the Visuomotor Precision subtest of NEPSY, a developmental neuropsychological assessment. Participants performed below average on PAL–II measures of handwriting legibility and speed and on NEPSY visual–motor precision tasks. In contrast, PAL–II measures of sensorimotor skills were broadly within the average range. Results provide evidence of functional handwriting challenges for children with FASD and suggest diminished visual–motor skills and increased difficulty as task complexity increases. Future research is needed to further describe the prevalence and nature of handwriting challenges in this population. PMID:23968791

  6. The influence of ergonomic factors and perceptual-motor abilities on handwriting performance.

    PubMed

    Tseng, M H; Cermak, S A

    1993-10-01

    Difficulty with handwriting is one of the most frequent reasons that children in the public schools are referred to occupational therapy. Current research on the influence of ergonomic factors, such as pencil grip and pressure, and perceptual-motor factors traditionally believed to affect handwriting, is reviewed. Factors such as visual perception show little relationship to handwriting, whereas tactile-kinesthetic, visual-motor, and motor planning appear to be more closely related to handwriting. By better understanding the ergonomic and perceptual-motor factors that contribute to and influence handwriting, therapists will be better able to design rationally based intervention programs.

  7. The effects of human finger and Chinese character on Chinese handwriting performance on mobile touch devices.

    PubMed

    Chen, Zhe; Rau, Pei-Luen Patrick; Chen, Cuiling

    2014-05-01

    The aim of the present study is to investigate Chinese handwriting on mobile touch devices, considering the effects of three characteristics of the human finger (type, length, and width) and three characteristics of Chinese characters (direction of the first stroke, number of strokes, and structure). Due to the popularity of touch devices in recent years, finger input for Chinese characters has attracted more attention from both industry and academia. However, previous studies have no systematical consideration on the effects of human finger and Chinese characters on Chinese handwriting performance. An experiment was reported in this article to illustrate the effects of the human finger and Chinese characters on the Chinese handwriting performance (i.e., input time, accuracy, number of protruding strokes, mental workload, satisfaction, and physical fatigue). The experiment results indicated that all six factors have significant effects on Chinese handwriting performance, especially on the input time, accuracy, and number of protruding strokes. Finger type, finger length, finger width, direction of the first stroke, number of strokes, and character structures are significantly influencing Chinese handwriting performance. These factors should be taken into more consideration in future research and the practical design for Chinese handwriting systems.

  8. Comparison of Cursive Handwriting Instruction Programs among Students without Identified Problems

    ERIC Educational Resources Information Center

    Shimel, Kristin; Candler, Catherine; Neville-Smith, Marsha

    2009-01-01

    The purpose of this study was to compare the effects of cursive handwriting programs in improving letter legibility and form in third-grade students without identified handwriting problems. Four months into the school year, cursive handwriting was assessed for a sample of convenience of 50 third-grade students. Subsequently, students received…

  9. Handwriting and Students with Disabilities: Overcoming First Impressions.

    ERIC Educational Resources Information Center

    Greenland, Roy; Polloway, Edward A.

    Students with disabilities often experience particular difficulties with handwriting, and these problems can hinder their development both in school and in postsecondary settings. This paper addresses three issues: (1) the possibility of a prejudicial and potentially lasting first impression, based on the individual's handwriting; (2) the lack of…

  10. National characteristics and variation in Arabic handwriting.

    PubMed

    Al-Hadhrami, Ahmed A N; Allen, Mike; Moffatt, Colin; Jones, Allison E

    2015-02-01

    From each of four Arabic countries; Morocco, Tunisia, Jordan and Oman, 150 participants produced handwriting samples which were examined to assess whether national characteristics were discernible. Ten characters, which have different configurations depending upon their position in the word, along with one short word, were classified into distinguishable forms, and these forms recorded for each handwriting sample. Tests of independence showed that character forms used were not independent of country (p<0.001) for all but one character-position (this was dropped from subsequent analyses). A correspondence analysis ordination plot and analysis of similarity (R=0.326, p=0.0002) showed that whole samples were discernibly grouped by country, and a tree analysis produced a classification which was 71% accurate for the original data and 83% accurate for 80 new handwriting samples that underwent 'blind' classification. When the countries were combined into two regions, North Africa and Middle East, the grouping was more marked. Thus, there appears to be some scope for narrowing down the nationality, and particularly the wider geographical region of an author based upon the character forms they use in Arabic handwriting. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

  11. Curriculum-Based Handwriting Programs: A Systematic Review With Effect Sizes

    PubMed Central

    Engel, Courtney; Lillie, Kristin; Zurawski, Sarah; Travers, Brittany G.

    2018-01-01

    Challenges with handwriting can have a negative impact on academic performance, and these challenges are commonly addressed by occupational therapy practitioners in school settings. This systematic review examined the efficacy of curriculum-based interventions to address children’s handwriting difficulties in the classroom (preschool to second grade). We reviewed and computed effect sizes for 13 studies (11 Level II, 2 Level III) identified through a comprehensive database search. The evidence shows that curriculum-based handwriting interventions resulted in small- to medium-sized improvements in legibility, a commonly reported challenge in this age group. The evidence for whether these interventions improved speed is mixed, and the evidence for whether they improved fluency is insufficient. No clear support was found for one handwriting program over another. These results suggest that curriculum-based interventions can lead to improvements in handwriting legibility, but Level I research is needed to validate the efficacy of these curricula. PMID:29689170

  12. Feature-Based Methods for Landmine Detection with Ground Penetrating Radar

    DTIC Science & Technology

    2012-09-27

    of abstraction without having to resort to assumptions about the events. DS fusion was applied to handwriting recognition [67], decision making [68...has been applied to landmine detection [80], and (in a different way) to handwriting recognition [46], and fusion of social choices (voting...applications to handwriting recognition, IEEE Transactions on Systems, Man and Cybernetics 22 (3) (1992) 418–435. [68] M. Beynon, D. Cosker, A.D. Marshall

  13. Use of Weighted Pencils to Improve Handwriting Legibility

    ERIC Educational Resources Information Center

    Brown, Michelle J.

    2017-01-01

    Several therapeutic strategies and approaches are used to facilitate handwriting skills in children with illegible writing. One strategy is weighted pencils; however, there is little empirical evidence of the strategy's efficacy. In case scenarios of three children who were unable to form letters, weighted pencils improved their handwriting, and a…

  14. SKread predicts handwriting performance in patients with low vision.

    PubMed

    Downes, Ken; Walker, Laura L; Fletcher, Donald C

    2015-06-01

    To assess whether performance on the Smith-Kettlewell Reading (SKread) test is a reliable predictor of handwriting performance in patients with low vision. Cross-sectional study. Sixty-six patients at their initial low-vision rehabilitation evaluation. The patients completed all components of a routine low-vision appointment including logMAR acuity, performed the SKread test, and performed a handwriting task. Patients were timed while performing each task and their accuracy was recorded. The handwriting task was performed by having patients write 5 5-letter words into sets of boxes where each letter is separated by a box. The boxes were 15 × 15 mm, and accuracy was scored with 50 points possible from 25 letters: 1 point for each letter within the confines of a box and 1 point if the letter was legible. Correlation analysis was then performed. Median age of participants was 84 (range 54-97) years. Fifty-seven patients (86%) had age-related macular degeneration or some other maculopathy, whereas 9 patients (14%) had visual impairment from media opacity or neurologic impairment. Median Early Treatment Diabetic Retinopathy Study acuity was 20/133 (range 20/22 to 20/1000), and median logMAR acuity was 0.82 (range 0.04-1.70). SKread errors per block correlated with logMAR acuity (r = 0.6), and SKread time per block correlated with logMAR acuity (r = 0.51). SKread errors per block correlated with handwriting task time/accuracy ratio (r = 0.61). SKread time per block correlated with handwriting task time/accuracy ratio (r = 0.7). LogMAR acuity score correlated with handwriting task time/accuracy ratio (r = 0.42). All p values were < 0.01. SKread scores predict handwriting performance in patients with low vision better than logMAR acuity. Copyright © 2015 Canadian Ophthalmological Society. Published by Elsevier Inc. All rights reserved.

  15. Extraction of Dynamic Features from Hand Drawn Data for the Identification of Children with Handwriting Difficulty

    ERIC Educational Resources Information Center

    Khalid, Puspa Inayat; Yunus, Jasmy; Adnan, Robiah

    2010-01-01

    Studies have shown that differences between children with and without handwriting difficulties lie not only in the written product (static data) but also in dynamic data of handwriting process. Since writing system varies among countries and individuals, this study was conducted to determine the feasibility of using quantitative outcome measures…

  16. Image Segmentation of Historical Handwriting from Palm Leaf Manuscripts

    NASA Astrophysics Data System (ADS)

    Surinta, Olarik; Chamchong, Rapeeporn

    Palm leaf manuscripts were one of the earliest forms of written media and were used in Southeast Asia to store early written knowledge about subjects such as medicine, Buddhist doctrine and astrology. Therefore, historical handwritten palm leaf manuscripts are important for people who like to learn about historical documents, because we can learn more experience from them. This paper presents an image segmentation of historical handwriting from palm leaf manuscripts. The process is composed of three steps: 1) background elimination to separate text and background by Otsu's algorithm 2) line segmentation and 3) character segmentation by histogram of image. The end result is the character's image. The results from this research may be applied to optical character recognition (OCR) in the future.

  17. "Let Me Hear Your Handwriting!" Evaluating the Movement Fluency from Its Sonification.

    PubMed

    Danna, Jérémy; Paz-Villagrán, Vietminh; Gondre, Charles; Aramaki, Mitsuko; Kronland-Martinet, Richard; Ystad, Sølvi; Velay, Jean-Luc

    2015-01-01

    The quality of handwriting is evaluated from the visual inspection of its legibility and not from the movement that generates the trace. Although handwriting is achieved in silence, adding sounds to handwriting movement might help towards its perception, provided that these sounds are meaningful. This study evaluated the ability to judge handwriting quality from the auditory perception of the underlying sonified movement, without seeing the written trace. In a first experiment, samples of a word written by children with dysgraphia, proficient children writers, and proficient adult writers were collected with a graphic tablet. Then, the pen velocity, the fluency, and the axial pen pressure were sonified in order to create forty-five audio files. In a second experiment, these files were presented to 48 adult listeners who had to mark the underlying unseen handwriting. In order to evaluate the relevance of the sonification strategy, two experimental conditions were compared. In a first 'implicit' condition, the listeners made their judgment without any knowledge of the mapping between the sounds and the handwriting variables. In a second 'explicit' condition, they knew what the sonified variables corresponded to and the evaluation criteria. Results showed that, under the implicit condition, two thirds of the listeners marked the three groups of writers differently. In the explicit condition, all listeners marked the dysgraphic handwriting lower than that of the two other groups. In a third experiment, the scores given from the auditory evaluation were compared to the scores given by 16 other adults from the visual evaluation of the trace. Results revealed that auditory evaluation was more relevant than the visual evaluation for evaluating a dysgraphic handwriting. Handwriting sonification might therefore be a relevant tool allowing a therapist to complete the visual assessment of the written trace by an auditory control of the handwriting movement quality.

  18. Handwriting and pre-frailty in the Lausanne cohort 65+ (Lc65+) study.

    PubMed

    Camicioli, Richard; Mizrahi, Seymour; Spagnoli, Jacques; Büla, Christophe; Demonet, Jean-François; Vingerhoets, François; von Gunten, Armin; Santos-Eggimann, Brigitte

    2015-01-01

    Frailty is detected by weight loss, weakness, slow walking velocity, reduced physical activity or poor endurance/exhaustion. Handwriting has not been examined in the context of frailty, despite its functional importance. Our goal was to examine quantitative handwriting measures in people meeting 0, 1, and 2 or more (2+) frailty criteria. We also examined if handwriting parameters were associated with gait performance, weakness, poor endurance/exhaustion and cognitive impairment. From the population-based Lc65+, 72 subjects meeting 2+ frailty criteria with complete handwriting samples were identified. Gender-matched controls meeting 1 criterion or no criteria were identified. Cognitive impairment was defined by a Mini-Mental State Examination score of 25 or less or the lowest 20th percentile of Trail Making Test Part B. Handwriting was recorded using a writing tablet and measures of velocity, pauses, and pressure were extracted. Subjects with 2+ criteria were older, had more health problems and need for assistance but had higher education. No handwriting parameter differed between frailty groups (age and education adjusted). Writing velocity was not significantly slower among participants from the slowest 20th percentile of gait velocity but writing pressure was significantly lower among those from the lowest 20th percentile of grip strength. Poor endurance/exhaustion was not associated with handwriting measures. Low cognitive performance was related to longer pauses. Handwriting parameters might be associated with specific aspects of the frailty phenotype, but not reliably with global definitions of frailty at its earliest stages among subjects able to perform handwriting tests. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

  19. Evaluation of handwriting kinematics and pressure for differential diagnosis of Parkinson's disease.

    PubMed

    Drotár, Peter; Mekyska, Jiří; Rektorová, Irena; Masarová, Lucia; Smékal, Zdeněk; Faundez-Zanuy, Marcos

    2016-02-01

    We present the PaHaW Parkinson's disease handwriting database, consisting of handwriting samples from Parkinson's disease (PD) patients and healthy controls. Our goal is to show that kinematic features and pressure features in handwriting can be used for the differential diagnosis of PD. The database contains records from 37 PD patients and 38 healthy controls performing eight different handwriting tasks. The tasks include drawing an Archimedean spiral, repetitively writing orthographically simple syllables and words, and writing of a sentence. In addition to the conventional kinematic features related to the dynamics of handwriting, we investigated new pressure features based on the pressure exerted on the writing surface. To discriminate between PD patients and healthy subjects, three different classifiers were compared: K-nearest neighbors (K-NN), ensemble AdaBoost classifier, and support vector machines (SVM). For predicting PD based on kinematic and pressure features of handwriting, the best performing model was SVM with classification accuracy of Pacc=81.3% (sensitivity Psen=87.4% and specificity of Pspe=80.9%). When evaluated separately, pressure features proved to be relevant for PD diagnosis, yielding Pacc=82.5% compared to Pacc=75.4% using kinematic features. Experimental results showed that an analysis of kinematic and pressure features during handwriting can help assess subtle characteristics of handwriting and discriminate between PD patients and healthy controls. Copyright © 2016 Elsevier B.V. All rights reserved.

  20. Dynamic and Contextual Information in HMM Modeling for Handwritten Word Recognition.

    PubMed

    Bianne-Bernard, Anne-Laure; Menasri, Farès; Al-Hajj Mohamad, Rami; Mokbel, Chafic; Kermorvant, Christopher; Likforman-Sulem, Laurence

    2011-10-01

    This study aims at building an efficient word recognition system resulting from the combination of three handwriting recognizers. The main component of this combined system is an HMM-based recognizer which considers dynamic and contextual information for a better modeling of writing units. For modeling the contextual units, a state-tying process based on decision tree clustering is introduced. Decision trees are built according to a set of expert-based questions on how characters are written. Questions are divided into global questions, yielding larger clusters, and precise questions, yielding smaller ones. Such clustering enables us to reduce the total number of models and Gaussians densities by 10. We then apply this modeling to the recognition of handwritten words. Experiments are conducted on three publicly available databases based on Latin or Arabic languages: Rimes, IAM, and OpenHart. The results obtained show that contextual information embedded with dynamic modeling significantly improves recognition.

  1. Color separation of signature and stamp inks to facilitate handwriting examination.

    PubMed

    Chaikovsky, Alan; Brown, Sharon; David, Laser Sin; Balman, Alex; Barzovski, Avner

    2003-11-01

    The questioned documents laboratory often encounters cases where handwriting that is to be examined intersects with some interfering factor such as a rubber stamp, typewriting or background printing. In these cases, line direction, beginning and ending features of letters and other fine details of the handwriting may be lost in the "noise" of the intersecting ink. The purpose of this paper is to show several new digital photography methods that may be used to "subtract" the effect of the intersecting ink, thereby enhancing that of the handwriting ink in order to enable the document examiner to conduct a complete examination. These methods have the advantage of being fast and do not involve the use of expensive material or equipment. Several new methods are described that may be used to separate the colors of the handwriting ink from that of the intersecting ink: the analog method and several digital methods such as RGB-HSB-CMYK, L*a*b color, and color separation using the Channel Mixer function of Adobe Photoshop. Successful application of these color separation methods to specific handwriting ink/rubber stamp ink color combinations shows that the effect of the intersecting ink may indeed be minimalized if not canceled altogether. Application of the suggested methods may well make the difference between a nonconclusive handwriting examination and a full analysis of the questioned handwriting.

  2. The Effect of a Computerized Visual Perception and Visual-Motor Integration Training Program on Improving Chinese Handwriting of Children with Handwriting Difficulties

    ERIC Educational Resources Information Center

    Poon, K. W.; Li-Tsang, C. W .P.; Weiss, T. P. L.; Rosenblum, S.

    2010-01-01

    This study aimed to investigate the effect of a computerized visual perception and visual-motor integration training program to enhance Chinese handwriting performance among children with learning difficulties, particularly those with handwriting problems. Participants were 26 primary-one children who were assessed by educational psychologists and…

  3. The influence of spelling ability on handwriting production: children with and without dyslexia.

    PubMed

    Sumner, Emma; Connelly, Vincent; Barnett, Anna L

    2014-09-01

    Current models of writing do not sufficiently address the complex relationship between the 2 transcription skills: spelling and handwriting. For children with dyslexia and beginning writers, it is conceivable that spelling ability will influence rate of handwriting production. Our aim in this study was to examine execution speed and temporal characteristics of handwriting when completing sentence-copying tasks that are free from composing demands and to determine the predictive value of spelling, pausing, and motor skill on handwriting production. Thirty-one children with dyslexia (Mage = 9 years 4 months) were compared with age-matched and spelling-ability matched children (Mage = 6 years 6 months). A digital writing tablet and Eye and Pen software were used to analyze handwriting. Children with dyslexia were able to execute handwriting at the same speed as the age-matched peers. However, they wrote less overall and paused more frequently while writing, especially within words. Combined spelling ability and within-word pausing accounted for over 76% of the variance in handwriting production of children with dyslexia, demonstrating that productivity relies on spelling capabilities. Motor skill did not significantly predict any additional variance in handwriting production. Reading ability predicted performance of the age-matched group, and pausing predicted performance for the spelling-ability group. The findings from the digital writing tablet highlight the interactive relationship between the transcription skills and how, if spelling is not fully automatized, it can constrain the rate of handwriting production. Practical implications are also addressed, emphasizing the need for more consideration to be given to what common handwriting tasks are assessing as a whole.

  4. The Log Handwriting Program improved children's writing legibility: a pretest-posttest study.

    PubMed

    Mackay, Nadine; McCluskey, Annie; Mayes, Rachel

    2010-01-01

    We determined the feasibility and outcomes of the Log Handwriting Program (Raynal, 1990), an 8-week training program based on task-specific practice of handwriting. We used a pretest-posttest design involving 16 first- and second-grade Australian students. Handwriting training sessions occurred in schools for 45 min per week over 8 weeks, in groups of 2 or 3. Weekly homework was provided. The primary outcome measure was the Minnesota Handwriting Assessment (range = 0 to 34; Reisman, 1999). Legibility, form, alignment, size, spacing, and speed were measured. All six assessment subscales showed statistically significant differences. Legibility improved by a mean of 4.1 points (95% confidence interval = 2.5 to 5.7); form, 5.3 points; alignment, 7.8 points; size, 7.9 points; and space, 5.3 points. Speed decreased by 3.9 points. Preliminary evidence indicates that an 8-week Log Handwriting Program is feasible and improved handwriting in primary school children.

  5. The role of general dynamic coordination in the handwriting skills of children

    PubMed Central

    Scordella, Andrea; Di Sano, Sergio; Aureli, Tiziana; Cerratti, Paola; Verratti, Vittore; Fanò-Illic, Giorgio; Pietrangelo, Tiziana

    2015-01-01

    Difficulties in handwriting are often reported in children with developmental coordination disorder, and they represent an important element in the diagnosis. The present study was aimed at investigating the relation between motor coordination and handwriting skills, and to identify differences in handwriting between children without and with coordination difficulties. In particular, we asked whether visual–spatial skills have a role as mediating variables between motor coordination and handwriting. We assessed motor coordination as well as graphic abilities in children aged 7–10 years. Moreover, we evaluated their visual–motor integration, visual–spatial skills, and other cognitive abilities (memory and planning). We found no relation between motor coordination and handwriting skills, while visual–spatial skills (measured by a visual-constructive task) were related with both. Our conclusion is that visual–spatial skills are involved both in general motor coordination and in handwriting, but the relationship involves different aspects in the two cases. PMID:25999893

  6. Experts Fear Handwriting Will become a Lost Art

    ERIC Educational Resources Information Center

    Zubrzycki, Jaclyn

    2012-01-01

    Educators and experts say students still need to learn penmanship, even in a digital age. Handwriting still has a place in the digital age, its proponents say, and they hoped that what they billed as a "summit" on the subject at a conference would spotlight their case for the enduring value of handwriting in the learning process. The Washington…

  7. Retrieving handwriting by combining word spotting and manifold ranking

    NASA Astrophysics Data System (ADS)

    Peña Saldarriaga, Sebastián; Morin, Emmanuel; Viard-Gaudin, Christian

    2012-01-01

    Online handwritten data, produced with Tablet PCs or digital pens, consists in a sequence of points (x, y). As the amount of data available in this form increases, algorithms for retrieval of online data are needed. Word spotting is a common approach used for the retrieval of handwriting. However, from an information retrieval (IR) perspective, word spotting is a primitive keyword based matching and retrieval strategy. We propose a framework for handwriting retrieval where an arbitrary word spotting method is used, and then a manifold ranking algorithm is applied on the initial retrieval scores. Experimental results on a database of more than 2,000 handwritten newswires show that our method can improve the performances of a state-of-the-art word spotting system by more than 10%.

  8. Handwriting-Based Model for Identification of Developmental Disorders among North Indian Children

    ERIC Educational Resources Information Center

    Dhall, Jasmine Kaur

    2016-01-01

    Handwriting execution is based on the cognitive, kinesthetic, motor skills, and manual co-ordination skills of an individual. The deterioration in handwriting quality is a common implication of neurological disorders. Difficulty and degradation in handwriting has been attributed to the sensory motor deficits prevalent in developmental disorders.…

  9. Analysis of in-air movement in handwriting: A novel marker for Parkinson's disease.

    PubMed

    Drotár, Peter; Mekyska, Jiří; Rektorová, Irena; Masarová, Lucia; Smékal, Zdenek; Faundez-Zanuy, Marcos

    2014-12-01

    Parkinson's disease (PD) is the second most common neurodegenerative disease affecting significant portion of elderly population. One of the most frequent hallmarks and usually also the first manifestation of PD is deterioration of handwriting characterized by micrographia and changes in kinematics of handwriting. There is no objective quantitative method of clinical diagnosis of PD. It is thought that PD can only be definitively diagnosed at postmortem, which further highlights the complexities of diagnosis. We exploit the fact that movement during handwriting of a text consists not only from the on-surface movements of the hand, but also from the in-air trajectories performed when the hand moves in the air from one stroke to the next. We used a digitizing tablet to assess both in-air and on-surface kinematic variables during handwriting of a sentence in 37 PD patients on medication and 38 age- and gender-matched healthy controls. By applying feature selection algorithms and support vector machine learning methods to separate PD patients from healthy controls, we demonstrated that assessing the in-air/on-surface hand movements led to accurate classifications in 84% and 78% of subjects, respectively. Combining both modalities improved the accuracy by another 1% over the evaluation of in-air features alone and provided medically relevant diagnosis with 85.61% prediction accuracy. Assessment of in-air movements during handwriting has a major impact on disease classification accuracy. This study confirms that handwriting can be used as a marker for PD and can be with advance used in decision support systems for differential diagnosis of PD. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

  10. Handwriting capacity in children newly diagnosed with Attention Deficit Hyperactivity Disorder.

    PubMed

    Brossard-Racine, Marie; Majnemer, Annette; Shevell, Michael; Snider, Laurie; Bélanger, Stacey Ageranioti

    2011-01-01

    Preliminary evidence suggests that children with Attention Deficit Hyperactivity Disorder (ADHD) may exhibit handwriting difficulties. However, the exact nature of these difficulties and the extent to which they may relate to motor or behavioural difficulties remains unclear. The aim of this study was to describe handwriting capacity in children newly diagnosed with ADHD and identify predictors of performance. Forty medication-naïve children with ADHD (mean age 8.1 years) were evaluated with the Evaluation Tool of Children's Handwriting-Manuscript, the Movement Assessment Battery for Children (M-ABC), the Developmental Test of Visual Motor Integration (VMI) and the Conner Global Index. An important subset (85.0%) exhibited manual dexterity difficulties. Handwriting performance was extremely variable in terms of speed and legibility. VMI was the most important predictor of legibility. Upper extremity coordination, as measured by the M-ABC ball skills subtest, was also a good predictor of word legibility. Poor handwriting legibility and slow writing speed were common in children newly diagnosed with ADHD and were associated with motor abilities. Future studies are needed to determine whether interventions, including stimulant medications, can improve handwriting performance and related motor functioning. Copyright © 2011 Elsevier Ltd. All rights reserved.

  11. Feasibility of a home-based program to improve handwriting after stroke: a pilot study.

    PubMed

    Simpson, Bronwyn; McCluskey, Annie; Lannin, Natasha; Cordier, Reinie

    2016-01-01

    To test the feasibility of a handwriting retraining program with adults after stroke; specifically the feasibility of: (i) recruiting people with stroke to the study, (ii) delivering the handwriting retraining program and (iii) outcome measures of handwriting performance. A quasi-experimental pre-test post-test design was used. A four-week, home-based handwriting retraining program was delivered by an occupational therapist using task-specific practice. Legibility, speed, pen control and self-perception of handwriting were measured at baseline and completion of the program. Legibility was scored by a blinded rater. Seven adults with stroke were recruited (eligibility fraction 43% of those screened, and enrolment fraction 78% of those eligible). There were no dropouts. Although, recruitment was slow the intervention was feasible and acceptable to adults with stroke. No statistically or clinically significant changes in legibility were reported in this small sample, but a ceiling effect was evident for some outcome measures. The study was not powered to determine efficacy. Delivery of a four-week handwriting intervention with eight supervised sessions in the community was feasible; however, recruitment of an adequate sample size would require greater investment than the single site used in this pilot. Handwriting difficulty is common following hemiparesis after stroke, however research addressing handwriting retraining for adults with stroke is lacking. A four-week home-based handwriting program using task-specific practice and feedback was feasible to deliver and appropriate for adults with stroke. Improving handwriting legibility and neatness across a range of tasks were important goals for adults with handwriting impairment.

  12. Interaction of attentional and motor control processes in handwriting.

    PubMed

    Brown, T L; Donnenwirth, E E

    1990-01-01

    The interaction between attentional capacity, motor control processes, and strategic adaptations to changing task demands was investigated in handwriting, a continuous (rather than discrete) skilled performance. Twenty-four subjects completed 12 two-minute handwriting samples under instructions stressing speeded handwriting, normal handwriting, or highly legible handwriting. For half of the writing samples, a concurrent auditory monitoring task was imposed. Subjects copied either familiar (English) or unfamiliar (Latin) passages. Writing speed, legibility ratings, errors in writing and in the secondary auditory task, and a derived measure of the average number of characters held in short-term memory during each sample ("planning unit size") were the dependent variables. The results indicated that the ability to adapt to instructions stressing speed or legibility was substantially constrained by the concurrent listening task and by text familiarity. Interactions between instructions, task concurrence, and text familiarity in the legibility ratings, combined with further analyses of planning unit size, indicated that information throughput from temporary storage mechanisms to motor processes mediated the loss of flexibility effect. Overall, the results suggest that strategic adaptations of a skilled performance to changing task circumstances are sensitive to concurrent attentional demands and that departures from "normal" or "modal" performance require attention.

  13. Chinese handwriting performance in preterm children in grade 2

    PubMed Central

    Chang, Shao-Hsia; Hong, Rong-Bin

    2018-01-01

    Background First graders born prematurely perform poorly on handwriting speed and legibility. However, whether there are specific legibility factors in which preterm children demonstrate difficulty remains unknown. In addition, handwriting performance beyond the first grade and the influence of sex on handwriting performance in preterm children are still unclear. We aimed to investigate the influence of prematurity and sex on multiple dimensions of handwriting in grade two and to identify the contributors to performance. Methods Sixty-three preterm (34 boys and 29 girls) and 67 full-term (27 boys and 40 girls) peers in grade two were included. Class teachers were asked to complete the Chinese Handwriting Evaluation Form. A subgroup of 39 preterm children received assessments on intelligence, visual perception, tactile and kinesthetic sensation, and fine motor skills. Their inattention behavior was rated using a maternal self-report with a behavioral scale. Results Boys born prematurely exhibited poorer performance in the speed dimension than full-term boys (p = 0.008), whereas there was comparable performance in the two groups of girls (p = 0.221). In the dimensions related to legibility, preterm boys (32.4%) had a higher percentage of children with difficulty in the construction dimension than the other groups (preterm girls: 6.9%, full-term boys: 7.4%, full-term girls: 5.0%). However, no group difference was found in the dimensions of accuracy and directionality. Of the sensory-perceptual-motor factors, attention was the most significant predictor of accuracy in performance (p = 0.046) and speed dimensions (p = 0.001) in preterm children. Conclusions Boys appear to be vulnerable to the adverse impacts of preterm birth in terms of performance in the dimensions of speed and construction in grade two. Based on the significant contribution of attention to handwriting performance in preterm children, assessment and intervention in the area of attention is strongly

  14. Persistent Handwriting Difficulties in Children With ADHD After Treatment With Stimulant Medication.

    PubMed

    Brossard-Racine, Marie; Shevell, Michael; Snider, Laurie; Bélanger, Stacey Ageranioti; Julien, Marilyse; Majnemer, Annette

    2015-07-01

    Children with ADHD often present with handwriting difficulties. However, the extent to which motor and attention skills influence performance in this group has not yet been explored. The objective of this study was to examine the factors associated with change in handwriting performance. This study examines the factors associated with change in handwriting performance of 49 children newly diagnosed with ADHD (mean age = 8.4 [SD=1.3] years) prior to and 3 months following use of a stimulant medication. Handwriting legibility and speed improved significantly at follow-up evaluation. However, most of the children with legibility difficulties at baseline continued to demonstrate difficulties when evaluated 3 months after initiation of medication. Change in handwriting legibility was best determined by improvements in visual-motor integration skills (β = 0.07-0.10; p < .001), while the change in speed did not appear to be consistently related to a single factor. Handwriting difficulties are common in children with ADHD, and medication alone is not sufficient to resolve these challenges. © 2012 SAGE Publications.

  15. The effect of conscious control on handwriting in children with attention deficit hyperactivity disorder.

    PubMed

    Tucha, Oliver; Lange, Klaus W

    2005-08-01

    Two experiments were performed regarding the effect of conscious control on handwriting fluency in healthy adults and ADHD children. First, 26 healthy students were asked to write a sentence under different conditions. The results indicate that automated handwriting movements are independent from visual feedback. Second, the writing performance of 12 children with ADHD was examined on their usual medication with methylphenidate and under placebo. In comparison to placebo, medication with methylphenidate resulted in a reduced fluency of handwriting. Automated handwriting movements could be elicited in children with ADHD on medication. The results suggest that both visual and mental control of handwriting movements affect the automation of handwriting movements. Furthermore, a simple training procedure was designed and performed in a case study of a boy with ADHD.

  16. Effect of pencil grasp on the speed and legibility of handwriting in children.

    PubMed

    Schwellnus, Heidi; Carnahan, Heather; Kushki, Azadeh; Polatajko, Helene; Missiuna, Cheryl; Chau, Tom

    2012-01-01

    Pencil grasps other than the dynamic tripod may be functional for handwriting. This study examined the impact of grasp on handwriting speed and legibility. We videotaped 120 typically developing fourth-grade students while they performed a writing task. We categorized the grasps they used and evaluated their writing for speed and legibility using a handwriting assessment. Using linear regression analysis, we examined the relationship between grasp and handwriting. We documented six categories of pencil grasp: four mature grasp patterns, one immature grasp pattern, and one alternating grasp pattern. Multiple linear regression results revealed no significant effect for mature grasp on either legibility or speed. Pencil grasp patterns did not influence handwriting speed or legibility in this sample of typically developing children. This finding adds to the mounting body of evidence that alternative grasps may be acceptable for fast and legible handwriting. Copyright © 2012 by the American Occupational Therapy Association, Inc.

  17. Stability of handwriting performance following injury-induced hand-dominance transfer in adults: a pilot study.

    PubMed

    Yancosek, Kathleen E; Mullineaux, David R

    2011-01-01

    The aim of this study was to quantify stability of nondominant handwriting kinematics and legibility in participants with functional loss of the previously dominant hand. Twelve adult volunteers provided two handwriting samples 6 weeks apart. Handwriting tasks (Compose a Sentence, Copy Alphabet, Copy Date, Copy Sentence, and Draw Circles) were performed in cursive writing on standard white, lined paper taped to a digitizer to record kinematic and kinetic variables of velocity, displacement, force, and on-paper time. Results showed minimal performance variability within subjects and marked variability between subjects, as well as variability between tasks for all participants. Stylistic stability of the handwriting samples was assessed by two independent evaluators. These evaluators matched all handwriting samples at test to retest times with 89%-100% accuracy, suggesting value in the "whole" handwriting sample and emphasizing the idiosyncratic nature of handwriting. Results suggest that handwriting skill stability in the previously nondominant hand varies across subjects and task demands.

  18. Visual perceptual and handwriting skills in children with Developmental Coordination Disorder.

    PubMed

    Prunty, Mellissa; Barnett, Anna L; Wilmut, Kate; Plumb, Mandy

    2016-10-01

    Children with Developmental Coordination Disorder demonstrate a lack of automaticity in handwriting as measured by pauses during writing. Deficits in visual perception have been proposed in the literature as underlying mechanisms of handwriting difficulties in children with DCD. The aim of this study was to examine whether correlations exist between measures of visual perception and visual motor integration with measures of the handwriting product and process in children with DCD. The performance of twenty-eight 8-14year-old children who met the DSM-5 criteria for DCD was compared with 28 typically developing (TD) age and gender-matched controls. The children completed the Developmental Test of Visual Motor Integration (VMI) and the Test of Visual Perceptual Skills (TVPS). Group comparisons were made, correlations were conducted between the visual perceptual measures and handwriting measures and the sensitivity and specificity examined. The DCD group performed below the TD group on the VMI and TVPS. There were no significant correlations between the VMI or TVPS and any of the handwriting measures in the DCD group. In addition, both tests demonstrated low sensitivity. Clinicians should execute caution in using visual perceptual measures to inform them about handwriting skill in children with DCD. Copyright © 2016 The Authors. Published by Elsevier B.V. All rights reserved.

  19. Handwriting Error Patterns of Children with Mild Motor Difficulties.

    ERIC Educational Resources Information Center

    Malloy-Miller, Theresa; And Others

    1995-01-01

    A test of handwriting legibility and 6 perceptual-motor tests were completed by 66 children ages 7-12. Among handwriting error patterns, execution was associated with visual-motor skill and sensory discrimination, aiming with visual-motor and fine-motor skills. The visual-spatial factor had no significant association with perceptual-motor…

  20. A Longitudinal Study on Dysgraphic Handwriting in Primary School.

    ERIC Educational Resources Information Center

    Hamstra-Bletz, Lisa; Blote, Anke W.

    1993-01-01

    Annual evaluation for 5 years of the handwriting of 121 Dutch primary school children revealed that children with dysgraphic handwriting had lower fine motor ability, exhibited poorer structural performance, and, in higher grades, showed less preference for a personal style, than did other writers. Children with and without dysgraphic handwriting…

  1. Chinese Handwriting Performance of Primary School Children with Dyslexia

    ERIC Educational Resources Information Center

    Lam, Sutie S. T.; Au, Ricky K. C.; Leung, Howard W. H.; Li-Tsang, Cecilia W. P.

    2011-01-01

    The aim of this study was to investigate the Chinese handwriting performance of typical children and children with dyslexia, and to examine whether speed and accuracy of handwriting could reliably discriminate these two groups of children. One hundred and thirty-seven children with dyslexia and 756 typical children were recruited from main stream…

  2. Effectiveness of an integrated handwriting program for first-grade students: a pilot study.

    PubMed

    Case-Smith, Jane; Holland, Terri; Bishop, Beth

    2011-01-01

    We developed and piloted a program for first-grade students to promote development of legible handwriting and writing fluency. The Write Start program uses a coteaching model in which occupational therapists and teachers collaborate to develop and implement a handwriting-writing program. The small-group format with embedded individualized supports allows the therapist to guide and monitor student performance and provide immediate feedback. The 12-wk program was implemented with 1 class of 19 students. We administered the Evaluation of Children's Handwriting Test, Minnesota Handwriting Assessment, and Woodcock-Johnson Fluency and Writing Samples test at baseline, immediately after the Write Start program, and at the end of the school year. Students made large, significant gains in handwriting legibility and speed and in writing fluency that were maintained at 6-mo follow-up. The Write Start program appears to promote handwriting and writing skills in first-grade students and is ready for further study in controlled trials.

  3. Handwriting Manual for Primary Teachers in Somalia. African Studies in Curriculum Development & Evaluation No. 61.

    ERIC Educational Resources Information Center

    Dirie, Mohamed Farah

    Concern over the poor and illegible handwriting of the students in Somalia led to the development of this handwriting manual for primary school teachers to: (1) give teachers guidance in teaching handwriting; (2) help teachers in the methodology of teaching handwriting; (3) let teachers know the easier ways of making cheap and obtainable materials…

  4. Dyslexic children fail to comply with the rhythmic constraints of handwriting.

    PubMed

    Pagliarini, Elena; Guasti, Maria Teresa; Toneatto, Carlo; Granocchio, Elisa; Riva, Federica; Sarti, Daniela; Molteni, Bruna; Stucchi, Natale

    2015-08-01

    In this study, we sought to demonstrate that deficits in a specific motor activity, handwriting, are associated to Developmental Dyslexia. The linguistic and writing performance of children with Developmental Dyslexia, with and without handwriting problems (dysgraphia), were compared to that of children with Typical Development. The quantitative kinematic variables of handwriting were collected by means of a digitizing tablet. The results showed that all children with Developmental Dyslexia wrote more slowly than those with Typical Development. Contrary to typically developing children, they also varied more in the time taken to write the individual letters of a word and failed to comply with the principles of isochrony and homothety. Moreover, a series of correlations was found among reading, language measures and writing measures suggesting that the two abilities may be linked. We propose that the link between handwriting and reading/language deficits is mediated by rhythm, as both reading (which is grounded on language) and handwriting are ruled by principles of rhythmic organization. Copyright © 2015 Elsevier B.V. All rights reserved.

  5. Inter-relationships between objective handwriting features and executive control among children with developmental dysgraphia.

    PubMed

    Rosenblum, Sara

    2018-01-01

    To describe handwriting and executive control features and their inter-relationships among children with developmental dysgraphia, in comparison to controls. Participants included 64 children, aged 10-12 years, 32 with dysgraphia based on the Handwriting Proficiency Screening Questionnaire (HPSQ) and 32 matched controls. Children copied a paragraph onto paper affixed to a digitizer that supplied handwriting process objective measures (Computerized Penmanship Evaluation Tool (ComPET). Their written product was evaluated by the Hebrew Handwriting Evaluation (HHE). Parents completed the Behavior Rating Inventory of Executive Function (BRIEF) questionnaire about their child's executive control abilities. Significant group differences were found for handwriting performance measures (HHE and ComPET) and executive control domains (BRIEF). Based on one discriminate function, including handwriting performance and executive control measures, 98.4% of the participants were correctly classified into groups. Significant correlations were found in each group between working memory and legibility as well as for other executive domains and handwriting measures. Furthermore, twenty percent of the variability of the mean pressure applied towards the writing surface among children with was explained by their 'emotional control' (BRIEF). The results strongly suggest consideration of executive control domains to obtain better insight into handwriting impairment characteristics among children with dysgraphia to improve their identification, evaluation and the intervention process.

  6. SOS: A Screening Instrument to Identify Children with Handwriting Impairments

    ERIC Educational Resources Information Center

    Van Waelvelde, Hilde; Hellinckx, Tinneke; Peersman, Wim; Smits-Engelsman, Bouwien C. M.

    2012-01-01

    Poor handwriting has been shown to be associated with developmental disorders such as Developmental Coordination Disorder, Attention Deficit Hyperactivity Disorder, autism, and learning disorders. Handwriting difficulties could lead to academic underachievement and poor self-esteem. Therapeutic intervention has been shown to be effective in…

  7. An electromyographic analysis of two handwriting grasp patterns.

    PubMed

    de Almeida, Pedro Henrique Tavares Queiroz; da Cruz, Daniel Marinho Cezar; Magna, Luis Alberto; Ferrigno, Iracema Serrat Vergotti

    2013-08-01

    Handwriting is a fundamental skill needed for the development of daily-life activities during lifetime and can be performed using different forms to hold the writing object. In this study, we monitored the sEMG activity of trapezius, biceps brachii, extensor carpi radialis brevis and flexor digitorum superficialis during a handwriting task with two groups of subjects using different grasp patterns. Twenty-four university students (thirteen males and eleven females; mean age of 22.04±2.8years) were included in this study. We randomly invited 12 subjects that used the Dynamic Tripod grasp and 12 subjects that used the Static Tripod grasp. The static tripod group showed statistically significant changes in the sEMG activity of trapezium and biceps brachii muscles during handwriting when compared to dynamic tripod group's subjects. No significant differences were found in extensor carpi radialis brevis and flexor digitorum superficialis activities among the two groups. The findings in this study suggest an increased activity of proximal muscles among subjects using a transitional grasp, indicating potential higher energy expenditure and muscular harm with the maintenance of this motor pattern in handwriting tasks, especially during the progression in academic life. Copyright © 2013 Elsevier Ltd. All rights reserved.

  8. Identification of handwriting by using the genetic algorithm (GA) and support vector machine (SVM)

    NASA Astrophysics Data System (ADS)

    Zhang, Qigui; Deng, Kai

    2016-12-01

    As portable digital camera and a camera phone comes more and more popular, and equally pressing is meeting the requirements of people to shoot at any time, to identify and storage handwritten character. In this paper, genetic algorithm(GA) and support vector machine(SVM)are used for identification of handwriting. Compare with parameters-optimized method, this technique overcomes two defects: first, it's easy to trap in the local optimum; second, finding the best parameters in the larger range will affects the efficiency of classification and prediction. As the experimental results suggest, GA-SVM has a higher recognition rate.

  9. Survey of Technologies for the Airport Border of the Future

    DTIC Science & Technology

    2014-04-01

    geometry Handwriting recognition ID cards Image classification Image enhancement Image fusion Image matching Image processing Image segmentation Iris...00 Tongue print Footstep recognition Odour recognition Retinal recognition Emotion recognition Periocular recognition Handwriting recognition Ear...recognition Palmprint recognition Hand geometry DNA matching Vein matching Ear recognition Handwriting recognition Periocular recognition Emotion

  10. Missing value imputation: with application to handwriting data

    NASA Astrophysics Data System (ADS)

    Xu, Zhen; Srihari, Sargur N.

    2015-01-01

    Missing values make pattern analysis difficult, particularly with limited available data. In longitudinal research, missing values accumulate, thereby aggravating the problem. Here we consider how to deal with temporal data with missing values in handwriting analysis. In the task of studying development of individuality of handwriting, we encountered the fact that feature values are missing for several individuals at several time instances. Six algorithms, i.e., random imputation, mean imputation, most likely independent value imputation, and three methods based on Bayesian network (static Bayesian network, parameter EM, and structural EM), are compared with children's handwriting data. We evaluate the accuracy and robustness of the algorithms under different ratios of missing data and missing values, and useful conclusions are given. Specifically, static Bayesian network is used for our data which contain around 5% missing data to provide adequate accuracy and low computational cost.

  11. The effects of pencil grip posture and different desk designs on handwriting performance in children with hemiplegic cerebral palsy.

    PubMed

    Kavak, Sermin Tukel; Bumin, Gonca

    2009-01-01

    The aim of this study was to investigate the effect of different ergonomic desk designs and pencil grip patterns on handwriting performance in children with hemiplegic cerebral palsy and healthy children. Twenty-six children with left hemiplegic cerebral palsy and 32 typically developing children were included. The Minnesota Handwriting Assessment was used to evaluate handwriting abilities. Pencil grip posture was assessed with a 5-point rating system. Specifically designed adjustable desks and chairs were used. Four different desk types were used in this study: 1) regular desk; 2) regular desk with a 20 degrees inclination; 3) cutout desk; and 4) cutout desk with a 20 degrees inclination. Statistically significant differences were found between both groups in terms of handwriting ability (p < 0.001). There was no significant difference regarding grip scores between children with cerebral palsy and healthy children (p > 0.05). We found that children with cerebral palsy had better performance using cutout desks in relation to rate and spacing parameters of handwriting (p < 0.05). The results of our study demonstrated that the pencil grip patterns have no effect on the handwriting parameters in both children with cerebral palsy and healthy children. It is recommended that a cutout table be used to provide more upper extremity support in handwriting activities for students with cerebral palsy.

  12. The effects of handwriting experience on functional brain development in pre-literate children

    PubMed Central

    James, Karin H.; Engelhardt, Laura

    2014-01-01

    In an age of increasing technology, the possibility that typing on a keyboard will replace handwriting raises questions about the future usefulness of handwriting skills. Here we present evidence that brain activation during letter perception is influenced in different, important ways by previous handwriting of letters versus previous typing or tracing of those same letters. Preliterate, five-year old children printed, typed, or traced letters and shapes, then were shown images of these stimuli while undergoing functional MRI scanning. A previously documented “reading circuit” was recruited during letter perception only after handwriting—not after typing or tracing experience. These findings demonstrate that handwriting is important for the early recruitment in letter processing of brain regions known to underlie successful reading. Handwriting therefore may facilitate reading acquisition in young children. PMID:25541600

  13. The effect of fine motor skills on handwriting legibility in preschool age children

    PubMed Central

    Seo, Sang-Min

    2018-01-01

    [Purpose] The purpose of this study was to examine the effect that fine motor skills have on handwriting legibility in children of preschool age. [Subjects and Methods] The subjects of this study were 52 children of normal growth and development. In order to ascertain handwriting legibility, a Korean alphabet writing assessment was used; to measure fine motor skills, fine motor precision and manual dexterity, sub-items of BOT-2 were measured. Furthermore, in order to measure in-hand manipulation skills, a Functional Dexterity Test was conducted. [Results] The results of the study showed a high level of correlation between fine motor skills and handwriting legibility. The study revealed that the accuracy of hand and in-hand manipulation skills is factors that have an effect on handwriting legibility. [Conclusion] Through the current research, occupational therapists can provide activities that aid the development of fine motor precision and in-hand manipulation skills for children during the instruction and treatment of handwriting to preschool age children, which helps to conduct better legibility in their handwriting. PMID:29545705

  14. The effect of fine motor skills on handwriting legibility in preschool age children.

    PubMed

    Seo, Sang-Min

    2018-02-01

    [Purpose] The purpose of this study was to examine the effect that fine motor skills have on handwriting legibility in children of preschool age. [Subjects and Methods] The subjects of this study were 52 children of normal growth and development. In order to ascertain handwriting legibility, a Korean alphabet writing assessment was used; to measure fine motor skills, fine motor precision and manual dexterity, sub-items of BOT-2 were measured. Furthermore, in order to measure in-hand manipulation skills, a Functional Dexterity Test was conducted. [Results] The results of the study showed a high level of correlation between fine motor skills and handwriting legibility. The study revealed that the accuracy of hand and in-hand manipulation skills is factors that have an effect on handwriting legibility. [Conclusion] Through the current research, occupational therapists can provide activities that aid the development of fine motor precision and in-hand manipulation skills for children during the instruction and treatment of handwriting to preschool age children, which helps to conduct better legibility in their handwriting.

  15. Measuring the Frequency Occurrence of Handwriting and Handprinting Characteristics.

    PubMed

    Johnson, Mark E; Vastrick, Thomas W; Boulanger, Michèle; Schuetzner, Ellen

    2017-01-01

    The premise of this study was to take a valid population sampling of handwriting and handprinting and assess how many times each of the predetermined characteristic is found in the samples. Approximately 1500 handwriting specimens were collected from across the United States and pared to obtain a representative sample of the U.S. adult population according to selected demographics based on age, sex, ethnicity, handedness, education level, and location of lower-grade school education. This study has been able to support a quantitative assessment of extrinsic and intrinsic effects in handwriting and handprinting for the six subgroups. Additional results include analyses of the interdependence of characteristics. This study found that 98.55% of handprinted characteristics and 97.39% of cursive characteristics had an independence correlation of under 0.2. The conclusions support use of the product rule in general, but with noted caveats. Finally, this study provides frequency occurrence proportions for 776 handwriting and handprinting characteristics. © 2016 American Academy of Forensic Sciences.

  16. Hand Strength, Handwriting, and Functional Skills in Children With Autism.

    PubMed

    Alaniz, Michele L; Galit, Eleanor; Necesito, Corina Isabel; Rosario, Emily R

    2015-01-01

    To establish hand strength development trends in children with autism and to investigate correlations between grip and pinch strength, components of handwriting, and functional activities in children with and without autism. Fifty-one children were divided into two groups: typically developing children and children on the autism spectrum. Each child completed testing for pinch and grip strength, handwriting legibility, pencil control, and independence in functional activities. The children with autism followed the same strength development trends as the typically developing children. Grip strength correlated with pencil control in both groups and with handwriting legibility in the typically developing children but not in the children with autism. Grip and pinch strength correlated with independence with functional activities in both groups. This study provides evidence that grip and pinch strength are important components in developing pencil control, handwriting legibility, and independence with functional fine motor tasks. Copyright © 2015 by the American Occupational Therapy Association, Inc.

  17. “Let Me Hear Your Handwriting!” Evaluating the Movement Fluency from Its Sonification

    PubMed Central

    Danna, Jérémy; Paz-Villagrán, Vietminh; Gondre, Charles; Aramaki, Mitsuko; Kronland-Martinet, Richard; Ystad, Sølvi; Velay, Jean-Luc

    2015-01-01

    The quality of handwriting is evaluated from the visual inspection of its legibility and not from the movement that generates the trace. Although handwriting is achieved in silence, adding sounds to handwriting movement might help towards its perception, provided that these sounds are meaningful. This study evaluated the ability to judge handwriting quality from the auditory perception of the underlying sonified movement, without seeing the written trace. In a first experiment, samples of a word written by children with dysgraphia, proficient children writers, and proficient adult writers were collected with a graphic tablet. Then, the pen velocity, the fluency, and the axial pen pressure were sonified in order to create forty-five audio files. In a second experiment, these files were presented to 48 adult listeners who had to mark the underlying unseen handwriting. In order to evaluate the relevance of the sonification strategy, two experimental conditions were compared. In a first ‘implicit’ condition, the listeners made their judgment without any knowledge of the mapping between the sounds and the handwriting variables. In a second ‘explicit’ condition, they knew what the sonified variables corresponded to and the evaluation criteria. Results showed that, under the implicit condition, two thirds of the listeners marked the three groups of writers differently. In the explicit condition, all listeners marked the dysgraphic handwriting lower than that of the two other groups. In a third experiment, the scores given from the auditory evaluation were compared to the scores given by 16 other adults from the visual evaluation of the trace. Results revealed that auditory evaluation was more relevant than the visual evaluation for evaluating a dysgraphic handwriting. Handwriting sonification might therefore be a relevant tool allowing a therapist to complete the visual assessment of the written trace by an auditory control of the handwriting movement quality

  18. Design of a Template for Handwriting Based Hindi Text Entry in Handheld Devices

    NASA Astrophysics Data System (ADS)

    Gangopadhyay, Diya; Vasal, Ityam; Yammiyavar, Pradeep

    Mobile phones, in the recent times, have become affordable and accessible to a wider range of users including the hitherto technologically and economically under-represented segments. Indian users are a gigantic consumer base for mobile phones. With Hindi being one of the most widely spoken languages in the country and the primary tool of communication for about a third of its population, an effective solution for Hindi text entry in mobile devices is expected to be immensely useful to the non English speaking users. This paper proposes a mobile phone handwriting based text entry solution for Hindi language, which allows for an easy text entry method, while facilitating better recognition accuracy.

  19. Do Handwriting Difficulties Correlate with Core Symptomology, Motor Proficiency and Attentional Behaviours?

    PubMed

    Grace, Nicci; Enticott, Peter Gregory; Johnson, Beth Patricia; Rinehart, Nicole Joan

    2017-04-01

    Handwriting is commonly identified as an area of weakness in children with autism spectrum disorder (ASD), but precise deficits have not been fully characterised. Boys with ASD (n = 23) and matched controls (n = 20) aged 8-12 years completed a simple, digitised task to objectively assess handwriting performance using advanced descriptive measures. Moderate to large associations were identified between handwriting performance and attention, ASD symptoms and motor proficiency. The ASD group demonstrated significantly less smooth movements and significantly greater sizing variability and peak velocity relative to controls. These findings provide a clearer indication of the specific nature of handwriting impairments in children with ASD, and suggest a relationship with core clinical symptom severity, attention and motor behaviours.

  20. Inter-relationships between objective handwriting features and executive control among children with developmental dysgraphia

    PubMed Central

    2018-01-01

    Objective To describe handwriting and executive control features and their inter-relationships among children with developmental dysgraphia, in comparison to controls. Method Participants included 64 children, aged 10–12 years, 32 with dysgraphia based on the Handwriting Proficiency Screening Questionnaire (HPSQ) and 32 matched controls. Children copied a paragraph onto paper affixed to a digitizer that supplied handwriting process objective measures (Computerized Penmanship Evaluation Tool (ComPET). Their written product was evaluated by the Hebrew Handwriting Evaluation (HHE). Parents completed the Behavior Rating Inventory of Executive Function (BRIEF) questionnaire about their child's executive control abilities. Results Significant group differences were found for handwriting performance measures (HHE and ComPET) and executive control domains (BRIEF). Based on one discriminate function, including handwriting performance and executive control measures, 98.4% of the participants were correctly classified into groups. Significant correlations were found in each group between working memory and legibility as well as for other executive domains and handwriting measures. Furthermore, twenty percent of the variability of the mean pressure applied towards the writing surface among children with was explained by their 'emotional control' (BRIEF). Conclusion The results strongly suggest consideration of executive control domains to obtain better insight into handwriting impairment characteristics among children with dysgraphia to improve their identification, evaluation and the intervention process. PMID:29689111

  1. Development of Malayalam Handwriting Scale for School Students in Kerala

    ERIC Educational Resources Information Center

    Gafoor, K. Abdul; Naseer, A. R.

    2015-01-01

    With a view to support instruction, formative and summative assessment and to provide model handwriting performance for students to compare their own performance, a Malayalam handwriting scale is developed. Data from 2640 school students belonging to Malappuram, Palakkad and Kozhikode districts, sampled by taking 240 students per each grade…

  2. Analysis of proximal and distal muscle activity during handwriting tasks.

    PubMed

    Naider-Steinhart, Shoshana; Katz-Leurer, Michal

    2007-01-01

    In this study we sought to describe upper-extremity proximal and distal muscle activity in typically developing children during a handwriting task and to explore the relationship between muscle activity and speed and quality of writing. We evaluated 35 third- and fourth-grade Israeli children using the Alef-Alef Ktav Yad Hebrew Handwriting Test. Simultaneously, we recorded the participants' upper trapezius and thumb muscle activity by surface electromyography. Using the coefficient of variation (standard deviation divided by mean amplitude) as a measure of variability within each muscle, we analyzed differences in muscle activity variability within and between muscles. The proximal muscle displayed significantly less variability than the distal muscles. Decreased variability in proximal muscle activity was associated with decreased variability in distal muscle activity, and decreased variability in the distal muscles was significantly associated with faster speed of writing. The lower amount of variability exhibited in the proximal muscle compared with the distal muscles seems to indicate that the proximal muscle functions as a stabilizer during a handwriting task. In addition, decreased variability in both proximal and distal muscle activity appears to be more economical and is related to faster writing speed. Knowledge of the type of proximal and distal muscle activity used during handwriting can help occupational therapists plan treatment for children with handwriting disabilities.

  3. Does Poor Handwriting Conceal Literacy Potential in Primary School Children?

    ERIC Educational Resources Information Center

    McCarney, Debra; Peters, Lynne; Jackson, Sarah; Thomas, Marie; Kirby, Amanda

    2013-01-01

    Handwriting is a complex skill that, despite increasing use of computers, still plays a vital role in education. It is assumed that children will master letter formation at a relatively early stage in their school life, with handwriting fluency developing steadily until automaticity is attained. The capacity theory of writing suggests that as…

  4. Where Does Handwriting Fit in? Strategies to Support Academic Achievement

    ERIC Educational Resources Information Center

    Cahill, Susan M.

    2009-01-01

    In today's environment of high-stakes testing, handwriting is a skill that is often overlooked in order to focus on other areas of the curriculum. However, research indicates that handwriting is tied to academic achievement, especially composition and literacy skills. This article provides strategies that can be used to support students with…

  5. How Do Primary Grade Teachers Teach Handwriting? A National Survey

    ERIC Educational Resources Information Center

    Graham, Steve; Harris, Karen R.; Mason, Linda; Fink-Chorzempa, Barbara; Moran, Susan; Saddler, Bruce

    2008-01-01

    A random sample of primary grade teachers from across the United States was surveyed about their instructional practices in handwriting. Nine out of every ten teachers indicated that they taught handwriting, averaging 70 minutes of instruction per week. Only 12% of teachers, however, indicated that the education courses taken in college adequately…

  6. Handwriting and Common Core State Standards: Teacher, Occupational Therapist, and Administrator Perceptions From New York State Public Schools.

    PubMed

    Collette, Debra; Anson, Kylie; Halabi, Nora; Schlierman, April; Suriner, Allison

    Handwriting is the cornerstone of written performance and communication for school-age children. This mixed-methods study explored the impact of Common Core State Standards on handwriting instruction and its effects on perceptions regarding children's written responses in elementary school. Using surveys and interviews of elementary teachers, occupational therapists, and administrators in New York State public schools, we sought to understand current trends in handwriting instruction, changes in time spent on handwriting instruction in the classroom, supports offered to students who did not meet expectations for handwriting, and the impact of Common Core on children's written expression. Themes emerged revealing decreased handwriting instruction time and inconsistent use of handwriting instructional programs in the classroom after implementation of Common Core. Handwriting should be considered as a greater component in the foundational standards in Common Core. Occupational therapy services can support handwriting instruction implementation. Copyright © 2017 by the American Occupational Therapy Association, Inc.

  7. On Writing and Handwriting

    ERIC Educational Resources Information Center

    Kucera, Miloš

    2010-01-01

    Writing is often considered secondary to the spoken language, as it is only coded sound-by-sound. But other scholars have demonstrated that writing is similar to "arithmetic": a cognitive structuring, a shift to the meta-level ("for the eye"). "Handwriting" (referred to here as the cursive writing in the sense of…

  8. Predictors of Handwriting in Adolescents and Adults with Down Syndrome

    ERIC Educational Resources Information Center

    Moy, Eloïse; Tardif, Carole; Tsao, Raphaele

    2017-01-01

    Handwriting is a skill that is constantly used in schools and in the workplace--two environments that are targeted in French legislation passed in 2005 on the integration of people with disabilities. The aim of the present study was to determine the predictive factors for handwriting speed and quality in adolescents and adults with Down syndrome…

  9. Increasing viscosity and inertia using a robotically-controlled pen improves handwriting in children

    PubMed Central

    Ben-Pazi, Hilla; Ishihara, Abraham; Kukke, Sahana; Sanger, Terence D

    2010-01-01

    The aim of this study was to determine the effect of mechanical properties of the pen on the quality of handwriting in children. Twenty two school aged children, ages 8–14 years wrote in cursive using a pen attached to a robot. The robot was programmed to increase the effective weight (inertia) and stiffness (viscosity) of the pen. Speed, frequency, variability, and quality of the two handwriting samples were compared. Increased inertia and viscosity improved handwriting quality in 85% of children (p<0.05). Handwriting quality did not correlate with changes in speed, suggesting that improvement was not due to reduced speed. Measures of movement variability remained unchanged, suggesting that improvement was not due to mechanical smoothing of pen movement by the robot. Since improvement was not explained by reduced speed or mechanical smoothing, we conclude that children alter handwriting movements in response to pen mechanics. Altered movement could be caused by changes in proprioceptive sensory feedback. PMID:19794098

  10. Study of Pattern of Change in Handwriting Class Characters with Different Grades of Myopia.

    PubMed

    Hedge, Shruti Prabhat; Dayanidhi, Vijay Kautilya; Sriram

    2015-12-01

    Handwriting is a visuo-motor skill highly dependent on visual skills. Any defect in the visual inputs could affect a change in the handwriting. Understanding the variation in handwriting characters caused by visual acuity change can help in identifying learning disabilities in children and also assess the disability in elderly. In our study we try to analyse and catalogue these changes in the handwriting of a person. The study was conducted among 100 subjects having normal visual acuity. They were asked to perform a set of writing tasks, after which the same tasks were repeated after inducing different grades of myopia. Changes in the handwriting class characters were analysed and compared in all grades of myopia. In the study it was found that the letter size, pastiosity, word omissions, inability to stay on line all increase with changes in visual acuity. However these finding are not proportional to the grade of myopia. From the findings of the study it can be concluded that myopia significantly influences the handwriting and any change in visual acuity would induce corresponding changes in handwriting. There is increase in letter size, pastiosity where as the ability to stay on line and space between the lines decrease in different grades of myopia. The changes are not linear and cannot be used to predict the grade of myopia but can be used as parameters suggestive of refractive error.

  11. Handwriting Capacity in Children Newly Diagnosed with Attention Deficit Hyperactivity Disorder

    ERIC Educational Resources Information Center

    Brossard-Racine, Marie; Majnemer, Annette; Shevell, Michael; Snider, Laurie; Belanger, Stacey Ageranioti

    2011-01-01

    Preliminary evidence suggests that children with Attention Deficit Hyperactivity Disorder (ADHD) may exhibit handwriting difficulties. However, the exact nature of these difficulties and the extent to which they may relate to motor or behavioural difficulties remains unclear. The aim of this study was to describe handwriting capacity in children…

  12. Handwriting Automaticity and Writing Instruction in Australian Kindergarten: An Exploratory Study

    ERIC Educational Resources Information Center

    Malpique, Anabela Abreu; Pino-Pasternak, Deborah; Valcan, Debora

    2017-01-01

    Accumulating evidence indicates handwriting automaticity is related to the development of effective writing skills. The present study examined the levels of handwriting automaticity of Australian children at the end of kindergarten and the amount and type of writing instruction they experienced before entering first grade. The current study…

  13. Electrically and magnetically dual-driven Janus particles for handwriting-enabled electronic paper

    NASA Astrophysics Data System (ADS)

    Komazaki, Y.; Hirama, H.; Torii, T.

    2015-04-01

    In this work, we describe the synthesis of novel electrically and magnetically dual-driven Janus particles for a handwriting-enabled twisting ball display via the microfluidic technique. One hemisphere of the Janus particles contains a charge control agent, which allows the display color to be controlled by applying a voltage and superparamagnetic nanoparticles, allows handwriting by applying a magnetic field to the display. We fabricated a twisting ball display utilizing these Janus particles and tested the electric color control and handwriting using a magnet. As a result, the display was capable of permitting handwriting with a small magnet in addition to conventional color control using an applied voltage (80 V). Handwriting performance was improved by increasing the concentration of superparamagnetic nanoparticles and was determined to be possible even when 80 V was applied across the electrodes for 4 wt. % superparamagnetic nanoparticles in one hemisphere. This improvement was impossible when the concentration was reduced to 2 wt. % superparamagnetic nanoparticles. The technology presented in our work can be applied to low-cost, lightweight, highly visible, and energy-saving electronic message boards and large whiteboards because the large-size display can be fabricated easily due to its simple structure.

  14. Automated recognition and extraction of tabular fields for the indexing of census records

    NASA Astrophysics Data System (ADS)

    Clawson, Robert; Bauer, Kevin; Chidester, Glen; Pohontsch, Milan; Kennard, Douglas; Ryu, Jongha; Barrett, William

    2013-01-01

    We describe a system for indexing of census records in tabular documents with the goal of recognizing the content of each cell, including both headers and handwritten entries. Each document is automatically rectified, registered and scaled to a known template following which lines and fields are detected and delimited as cells in a tabular form. Whole-word or whole-phrase recognition of noisy machine-printed text is performed using a glyph library, providing greatly increased efficiency and accuracy (approaching 100%), while avoiding the problems inherent with traditional OCR approaches. Constrained handwriting recognition results for a single author reach as high as 98% and 94.5% for the Gender field and Birthplace respectively. Multi-author accuracy (currently 82%) can be improved through an increased training set. Active integration of user feedback in the system will accelerate the indexing of records while providing a tightly coupled learning mechanism for system improvement.

  15. Graphomotor skills in children with developmental coordination disorder (DCD): Handwriting and learning a new letter.

    PubMed

    Huau, Andréa; Velay, Jean-Luc; Jover, Marianne

    2015-08-01

    The aim of the present study was to analyze handwriting difficulties in children with developmental coordination disorder (DCD) and investigate the hypothesis that a deficit in procedural learning could help to explain them. The experimental set-up was designed to compare the performances of children with DCD with those of a non-DCD group on tasks that rely on motor learning in different ways, namely handwriting and learning a new letter. Ten children with DCD and 10 non-DCD children, aged 8-10 years, were asked to perform handwriting tasks (letter/word/sentence; normal/fast), and a learning task (new letter) on a graphic tablet. The BHK concise assessment scale for children's handwriting was used to evaluate their handwriting quality. Results showed that both the handwriting and learning tasks differentiated between the groups. Furthermore, when speed or length constraints were added, handwriting was more impaired in children with DCD than in non-DCD children. Greater intra-individual variability was observed in the group of children with DCD, arguing in favor of a deficit in motor pattern stabilization. The results of this study could support both the hypothesis of a deficit in procedural learning and the hypothesis of neuromotor noise in DCD. Copyright © 2015 Elsevier B.V. All rights reserved.

  16. Changes in kinetics and kinematics of handwriting during a prolonged writing task in children with and without dysgraphia.

    PubMed

    Kushki, Azadeh; Schwellnus, Heidi; Ilyas, Faizah; Chau, Tom

    2011-01-01

    Handwriting difficulties or dysgraphia have a profound impact on children's psychosocial development, and yet, 10-30% of school-aged children are reported to experience difficulties mastering this skill. Several studies have examined the nature and biomechanical underpinnings of handwriting difficulties in children with and without dysgraphia. While the majority of these studies have considered short handwriting activities involving a sentence or a paragraph, handwriting quality and speed are reported to vary with the length of the writing task. Further, it is suggested that the biomechanics of handwriting also evolve over extended writing periods, and that these changes may be distinct between children with and without dysgraphia. The nature and specificity of these biomechanical alterations remain unknown. To address this knowledge gap, we examined changes in writing speed, grip forces on the pen barrel, and normal forces on the writing surface, over the course of a 10-min writing task, in a large cohort of 4th grade children with and without dysgraphia. Horizontal stroke speed, grip force and normal force increased over time while vertical stroke speed decreased in all children. These biomechanical changes may be attributable to physical and psychological fatigue and the corresponding compensatory processes invoked by the motor system. Copyright © 2011 Elsevier Ltd. All rights reserved.

  17. Is Handwriting Performance Affected by the Writing Surface? Comparing Preschoolers', Second Graders', and Adults' Writing Performance on a Tablet vs. Paper.

    PubMed

    Gerth, Sabrina; Klassert, Annegret; Dolk, Thomas; Fliesser, Michael; Fischer, Martin H; Nottbusch, Guido; Festman, Julia

    2016-01-01

    Due to their multifunctionality, tablets offer tremendous advantages for research on handwriting dynamics or for interactive use of learning apps in schools. Further, the widespread use of tablet computers has had a great impact on handwriting in the current generation. But, is it advisable to teach how to write and to assess handwriting in pre- and primary schoolchildren on tablets rather than on paper? Since handwriting is not automatized before the age of 10 years, children's handwriting movements require graphomotor and visual feedback as well as permanent control of movement execution during handwriting. Modifications in writing conditions, for instance the smoother writing surface of a tablet, might influence handwriting performance in general and in particular those of non-automatized beginning writers. In order to investigate how handwriting performance is affected by a difference in friction of the writing surface, we recruited three groups with varying levels of handwriting automaticity: 25 preschoolers, 27 second graders, and 25 adults. We administered three tasks measuring graphomotor abilities, visuomotor abilities, and handwriting performance (only second graders and adults). We evaluated two aspects of handwriting performance: the handwriting quality with a visual score and the handwriting dynamics using online handwriting measures [e.g., writing duration, writing velocity, strokes and number of inversions in velocity (NIV)]. In particular, NIVs which describe the number of velocity peaks during handwriting are directly related to the level of handwriting automaticity. In general, we found differences between writing on paper compared to the tablet. These differences were partly task-dependent. The comparison between tablet and paper revealed a faster writing velocity for all groups and all tasks on the tablet which indicates that all participants-even the experienced writers-were influenced by the lower friction of the tablet surface. Our results

  18. Is Handwriting Performance Affected by the Writing Surface? Comparing Preschoolers', Second Graders', and Adults' Writing Performance on a Tablet vs. Paper

    PubMed Central

    Gerth, Sabrina; Klassert, Annegret; Dolk, Thomas; Fliesser, Michael; Fischer, Martin H.; Nottbusch, Guido; Festman, Julia

    2016-01-01

    Due to their multifunctionality, tablets offer tremendous advantages for research on handwriting dynamics or for interactive use of learning apps in schools. Further, the widespread use of tablet computers has had a great impact on handwriting in the current generation. But, is it advisable to teach how to write and to assess handwriting in pre- and primary schoolchildren on tablets rather than on paper? Since handwriting is not automatized before the age of 10 years, children's handwriting movements require graphomotor and visual feedback as well as permanent control of movement execution during handwriting. Modifications in writing conditions, for instance the smoother writing surface of a tablet, might influence handwriting performance in general and in particular those of non-automatized beginning writers. In order to investigate how handwriting performance is affected by a difference in friction of the writing surface, we recruited three groups with varying levels of handwriting automaticity: 25 preschoolers, 27 second graders, and 25 adults. We administered three tasks measuring graphomotor abilities, visuomotor abilities, and handwriting performance (only second graders and adults). We evaluated two aspects of handwriting performance: the handwriting quality with a visual score and the handwriting dynamics using online handwriting measures [e.g., writing duration, writing velocity, strokes and number of inversions in velocity (NIV)]. In particular, NIVs which describe the number of velocity peaks during handwriting are directly related to the level of handwriting automaticity. In general, we found differences between writing on paper compared to the tablet. These differences were partly task-dependent. The comparison between tablet and paper revealed a faster writing velocity for all groups and all tasks on the tablet which indicates that all participants—even the experienced writers—were influenced by the lower friction of the tablet surface. Our

  19. Tier 1 and Tier 2 Early Intervention for Handwriting and Composing

    ERIC Educational Resources Information Center

    Berninger, Virginia W.; Rutberg, Judith E.; Abbott, Robert D.; Garcia, Noelia; Anderson-Youngstrom, Marci; Brooks, Allison; Fulton, Cynthia

    2006-01-01

    Three studies evaluated Tier 1 early intervention for handwriting at a critical period for literacy development in first grade and one study evaluated Tier 2 early intervention in the critical period between third and fourth grades for composing on high stakes tests. The results contribute to knowledge of research-supported handwriting and…

  20. Study of Pattern of Change in Handwriting Class Characters with Different Grades of Myopia

    PubMed Central

    Hedge, Shruti Prabhat; Sriram

    2015-01-01

    Introduction Handwriting is a visuo-motor skill highly dependent on visual skills. Any defect in the visual inputs could affect a change in the handwriting. Understanding the variation in handwriting characters caused by visual acuity change can help in identifying learning disabilities in children and also assess the disability in elderly. In our study we try to analyse and catalogue these changes in the handwriting of a person. Materials and Methods The study was conducted among 100 subjects having normal visual acuity. They were asked to perform a set of writing tasks, after which the same tasks were repeated after inducing different grades of myopia. Changes in the handwriting class characters were analysed and compared in all grades of myopia. Results In the study it was found that the letter size, pastiosity, word omissions, inability to stay on line all increase with changes in visual acuity. However these finding are not proportional to the grade of myopia. Conclusion From the findings of the study it can be concluded that myopia significantly influences the handwriting and any change in visual acuity would induce corresponding changes in handwriting. There is increase in letter size, pastiosity where as the ability to stay on line and space between the lines decrease in different grades of myopia. The changes are not linear and cannot be used to predict the grade of myopia but can be used as parameters suggestive of refractive error. PMID:26816917

  1. Feasibility study: Effect of hand resistance exercise on handwriting in Parkinson's disease and essential tremor.

    PubMed

    Bryant, Mon S; Workman, Craig D; Jamal, Fariha; Meng, Hao; Jackson, George R

    A single group, repeated measures design was used. Tremor can lead to impaired hand function in patients with Parkinson's disease (PD) and essential tremor (ET). Difficulty with handwriting is a common complaint in these patients suffering from hand tremors. The effect of hand resistance exercise on handwriting is unknown. To explore the influence of 6 weeks of home-based hand resistance exercise on handwriting in individuals with PD and ET. Nine individuals with PD and 9 with ET participated in the study. The average age was 65.3 (6.0) years with an average disease duration of 7.8 years. Participants were instructed to perform a home-based, hand and arm resistance exercise program 3 times a week for 6 weeks. Samples of the area of handwriting and maximal grip strength were measured at baseline and after 6 weeks of exercise. The area of the handwriting sample and maximal grip strength measured before and after 6 weeks were compared. Mean grip strength of the participants with PD improved after 6 weeks of hand resistance exercise (P = .031), but grip strength did not change in ET (P = .091). The size of the handwriting samples (words and sentences) did not change after exercise in either participants with PD or ET. Micrographia in patients with PD and macrographia in patients with ET represent complex fine motor skills. More research is needed to understand what therapies could be effective in modifying the size and quality of handwriting. The purpose of this feasibility study was to explore the influence of home-based wrist resistance exercise on handwriting in individuals with PD and ET. Despite small gains in grip strength, the size of the handwriting samples (words and sentences) did not change for patients with PD or ET following a 6-week home-based hand resistance exercise program. Published by Elsevier Inc.

  2. Electrically and magnetically dual-driven Janus particles for handwriting-enabled electronic paper

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Komazaki, Y., E-mail: komazaki@dt.k.u-tokyo.ac.jp; Hirama, H.; Torii, T.

    In this work, we describe the synthesis of novel electrically and magnetically dual-driven Janus particles for a handwriting-enabled twisting ball display via the microfluidic technique. One hemisphere of the Janus particles contains a charge control agent, which allows the display color to be controlled by applying a voltage and superparamagnetic nanoparticles, allows handwriting by applying a magnetic field to the display. We fabricated a twisting ball display utilizing these Janus particles and tested the electric color control and handwriting using a magnet. As a result, the display was capable of permitting handwriting with a small magnet in addition to conventionalmore » color control using an applied voltage (80 V). Handwriting performance was improved by increasing the concentration of superparamagnetic nanoparticles and was determined to be possible even when 80 V was applied across the electrodes for 4 wt. % superparamagnetic nanoparticles in one hemisphere. This improvement was impossible when the concentration was reduced to 2 wt. % superparamagnetic nanoparticles. The technology presented in our work can be applied to low-cost, lightweight, highly visible, and energy-saving electronic message boards and large whiteboards because the large-size display can be fabricated easily due to its simple structure.« less

  3. Line fitting based feature extraction for object recognition

    NASA Astrophysics Data System (ADS)

    Li, Bing

    2014-06-01

    Image feature extraction plays a significant role in image based pattern applications. In this paper, we propose a new approach to generate hierarchical features. This new approach applies line fitting to adaptively divide regions based upon the amount of information and creates line fitting features for each subsequent region. It overcomes the feature wasting drawback of the wavelet based approach and demonstrates high performance in real applications. For gray scale images, we propose a diffusion equation approach to map information-rich pixels (pixels near edges and ridge pixels) into high values, and pixels in homogeneous regions into small values near zero that form energy map images. After the energy map images are generated, we propose a line fitting approach to divide regions recursively and create features for each region simultaneously. This new feature extraction approach is similar to wavelet based hierarchical feature extraction in which high layer features represent global characteristics and low layer features represent local characteristics. However, the new approach uses line fitting to adaptively focus on information-rich regions so that we avoid the feature waste problems of the wavelet approach in homogeneous regions. Finally, the experiments for handwriting word recognition show that the new method provides higher performance than the regular handwriting word recognition approach.

  4. Handwriting Tics in Tourette’s Syndrome: A Single Center Study

    PubMed Central

    Zanaboni Dina, Carlotta; Bona, Alberto R.; Zekaj, Edvin; Servello, Domenico; Porta, Mauro

    2016-01-01

    Tourette’s syndrome (TS) is a neurodevelopmental disorder typically defined by multiple motor tics and at least one sound tic, beginning in childhood or in adolescence. Handwriting is one of the most impaired school activities for TS patients because of the presence of tics that hamper learning processes. In this paper, we present a case of handwriting tics in a TS patient highlighting the main features. PMID:26924993

  5. Efficacy of a task-based training approach in the rehabilitation of three children with poor handwriting quality: a pilot study.

    PubMed

    Baldi, Silvia; Nunzi, Michela; Brina, Carlo Di

    2015-02-01

    Evidence suggests that task-based training approaches can improve the performance of children with handwriting difficulties. The present case study tests the efficacy of the Handwriting Task Program (HTP). Three male children (9-10 yr. old) with poor handwriting skills and different developmental disorders participated in the HTP, twice per week, for 13 wk. Handwriting legibility was assessed through the Concise Evaluation Scale for Children's Handwriting, and fine motor performance and handwriting speed were evaluated at pre- and post-treatment with the Visual Motor Integration Test and the Battery for the assessment of writing skills of children from 7 to 13 yr. old. The results showed that motor efficiency and global handwriting quality improved in all the children, although some handwriting difficulties still persisted in one child with Developmental Coordination Disorder (DCD). Further study may confirm on a larger sample that a visual-spatially based training may improve the handwriting legibility of children with DCD.

  6. Age-related changes in executive control and their relationships with activity performance in handwriting.

    PubMed

    Rosenblum, Sara; Engel-Yeger, Batya; Fogel, Yael

    2013-04-01

    Deterioration in the frontal and prefrontal cortex associated with executive functions (EF) occurs with age and may be associated with changes in daily performance. The aim of the present study was to describe changes occurring with age in Executive Functions (EF) and handwriting activity, as well as to analyze relationships between age, EF and handwriting performance. The study population included 80 healthy participants (aged 31 to 76+) living in the community. After answering five questions about their writing habits, the participants completed the Behavioral Assessment of the Dysexecutive Syndrome (BADS). In addition, they performed a handwriting task on a digitizer included in the Computerized Penmanship Evaluation Tool (ComPET), which provides kinematic measures of the handwriting process. Significant differences were found between the four age groups for both EF and temporal and spatial handwriting measures. A series of regressions indicated that age predicted 35% of the variance of the BADS profile score (EF control) and 32% of the variance of in-air time while writing. The results of this study indicated age effect on both EF control and handwriting performance. Possible implications for further research and clinical evaluation and intervention are discussed. Copyright © 2013 Elsevier B.V. All rights reserved.

  7. Handwriting Characteristics among Secondary Students with and without Physical Disabilities: A Study with a Computerized Tool

    ERIC Educational Resources Information Center

    Li-Tsang, Cecilia W. P.; Au, Ricky K. C.; Chan, Michelle H. Y.; Chan, Lily W. L.; Lau, Gloria M. T.; Lo, T. K.; Leung, Howard W. H.

    2011-01-01

    The purpose of the present study was to investigate the handwriting characteristics of secondary school students with and without physical disabilities (PD). With the use of a computerized Chinese Handwriting Assessment Tool (CHAT), it was made possible to objectively assess and analyze in detail the handwriting characteristics of individual…

  8. Reliability of the detailed assessment of speed of handwriting on Flemish children.

    PubMed

    Simons, Johan; Probst, Michel

    2014-01-01

    This study evaluates the reliability of the Detailed Assessment of Speed of Handwriting (DASH) in a Dutch-speaking sample of children. The sample included 650 boys and 513 girls (age range = 9-16 years). Handwriting speed measurements were obtained using the DASH. Interrater agreement, test-retest reliability, and internal consistency were calculated; gender and age effects were analyzed. Interrater agreement shows excellent reliability with intraclass correlation coefficients of at least 0.94. Test-retest correlations ranged from r = 0.65 to r = 0.81. The internal consistency measures, calculated with Cronbach's alpha, were between 0.88 and 0.94. Both gender and age have a significant effect on handwriting speed, with F (7.1144) = 17.43 (P < .001) for gender and F (7.1144) = 21.8 (P < .001) for age. The DASH is a reliable assessment tool to evaluate handwriting speed of Dutch-speaking children. There is a tendency of girls to write faster than boys.

  9. Validity and reliability of a new tool to evaluate handwriting difficulties in Parkinson's disease.

    PubMed

    Nackaerts, Evelien; Heremans, Elke; Smits-Engelsman, Bouwien C M; Broeder, Sanne; Vandenberghe, Wim; Bergmans, Bruno; Nieuwboer, Alice

    2017-01-01

    Handwriting in Parkinson's disease (PD) features specific abnormalities which are difficult to assess in clinical practice since no specific tool for evaluation of spontaneous movement is currently available. This study aims to validate the 'Systematic Screening of Handwriting Difficulties' (SOS-test) in patients with PD. Handwriting performance of 87 patients and 26 healthy age-matched controls was examined using the SOS-test. Sixty-seven patients were tested a second time within a period of one month. Participants were asked to copy as much as possible of a text within 5 minutes with the instruction to write as neatly and quickly as in daily life. Writing speed (letters in 5 minutes), size (mm) and quality of handwriting were compared. Correlation analysis was performed between SOS outcomes and other fine motor skill measurements and disease characteristics. Intrarater, interrater and test-retest reliability were assessed using the intraclass correlation coefficient (ICC) and Spearman correlation coefficient. Patients with PD had a smaller (p = 0.043) and slower (p<0.001) handwriting and showed worse writing quality (p = 0.031) compared to controls. The outcomes of the SOS-test significantly correlated with fine motor skill performance and disease duration and severity. Furthermore, the test showed excellent intrarater, interrater and test-retest reliability (ICC > 0.769 for both groups). The SOS-test is a short and effective tool to detect handwriting problems in PD with excellent reliability. It can therefore be recommended as a clinical instrument for standardized screening of handwriting deficits in PD.

  10. Exploring the Participation of Children with Down Syndrome in Handwriting without Tears

    ERIC Educational Resources Information Center

    Patton, Sandra; Hutton, Eve

    2017-01-01

    Children with Down Syndrome typically experience difficulties with attention to task and lack motivation when learning to write. This article provides an evaluation of the HWT (Handwriting Without Tears) method applied as an intervention to promote handwriting among children with Down Syndrome attending mainstream school in the Republic of…

  11. In-Depth Analysis of Handwriting Curriculum and Instruction in Four Kindergarten Classrooms

    ERIC Educational Resources Information Center

    Vander Hart, Nanho; Fitzpatrick, Paula; Cortesa, Cathryn

    2010-01-01

    The quality of handwriting curriculum and instructional practices in actual classrooms was investigated in an in-depth case study of four inner city kindergarten classrooms using quantitative and qualitative methods. The handwriting proficiency of students was also evaluated to assess the impact of the instructional practices observed. The…

  12. Handwriting: What Do We Know and What Do We Need to Know?

    ERIC Educational Resources Information Center

    Medwell, Jane; Wray, David

    2007-01-01

    Handwriting has a low status and profile in literacy education in England and in recent years has attracted little attention from teachers, policy-makers or researchers into mainstream educational processes. This article identifies a substantial programme of research into handwriting, including studies located in the domains of special needs…

  13. Handwriting Performance and Underlying Factors in Children with Attention Deficit Hyperactivity Disorder

    ERIC Educational Resources Information Center

    Shen, I-Hsuan; Lee, Tsai-Yun; Chen, Chia-Ling

    2012-01-01

    Preliminary evidence suggests that handwriting difficulties are common to children with Attention Deficit Hyperactivity Disorder (ADHD). However, the nature of the task-specific impairments is needed to be clarified. The aim of this study was to describe handwriting capacity in ADHD children without DCD and identify underlying factors of…

  14. People Patterns: Handwriting. Environmental Module for Use in a Mathematics Laboratory Setting.

    ERIC Educational Resources Information Center

    Trojan, Arthur; Zastrocky, Mike

    This module was not meant to make handwriting analysts of students, but to make them aware that mathematics is used in analyzing handwriting. Activities revolve around ratio, mean, mode, measurement and some graphing. Sample spaces are explored and used to gain insight into how people write habitually. (Author/MK)

  15. Survey of handwriting instruction practices of elementary teachers and educational programs: implications for occupational therapy.

    PubMed

    Donica, Denise K; Larson, Michelle H; Zinn, Abbey A

    2012-01-01

    ABSTRACT The purpose of this study was to investigate perceptions of elementary school teachers on training in handwriting instruction received during their education, as well as their current classroom practices. The quantity and quality of training in handwriting instruction provided by baccalaureate degree-granting teacher education programs in North Carolina was also examined. An online survey was administered to each population identified to inquire about handwriting instruction practices. Results from 505 teachers and 16 professors indicated that while handwriting instruction content is valued by both teachers and professors, varied levels of training were provided to the teachers. Implications for occupational therapy practice are discussed including strategies for school-based therapists.

  16. Handwriting: A Matter of Affairs

    ERIC Educational Resources Information Center

    Al-Ghabra, Iman M. M. Muwafaq

    2015-01-01

    Academic performance is the main concern of educators all over the world. Authentic researchers have studied the importance of handwriting for improving students' performance, and they have proved that using the hand in writing activates many regions in the brain that are related to memory and comprehension. The study aims at displaying the…

  17. Effect of a coteaching handwriting program for first graders: one-group pretest-posttest design.

    PubMed

    Case-Smith, Jane; Holland, Terri; Lane, Alison; White, Susan

    2012-01-01

    We examined the effects of a cotaught handwriting and writing program on first-grade students grouped by low, average, and high baseline legibility. The program's aim was to increase legibility, handwriting speed, writing fluency, and written expression in students with diverse learning needs. Thirty-six first-grade students in two classrooms participated in a 12-wk handwriting and writing program cotaught by teachers and an occupational therapist. Students were assessed at pretest, posttest, and 6-mo follow-up using the Evaluation Tool of Children's Handwriting-Manuscript (ETCH-M) and the Woodcock-Johnson Writing Fluency and Writing Samples tests. Students made large gains in ETCH-M legibility (η² = .74), speed (η²s = .52-.65), Writing Fluency (η² = .58), and Writing Samples (η² = .59). Students with initially low legibility improved most in legibility; progress on the other tests was similar across low-, average-, and high-performing groups. This program appeared to benefit first-grade students with diverse learning needs and to increase handwriting legibility and speed and writing fluency. Copyright © 2012 by the American Occupational Therapy Association, Inc.

  18. Handwriting features of children with developmental coordination disorder--results of triangular evaluation.

    PubMed

    Rosenblum, Sara; Margieh, Jumana Aassy; Engel-Yeger, Batya

    2013-11-01

    Developmental coordination disorders (DCD) is one of the most common disorders affecting school-aged children. The study aimed to characterize the handwriting performance of children with DCD who write in Arabic, based on triangular evaluation. Participants included 58 children aged 11-12 years, 29 diagnosed with DCD based on the DSM-IV criteria and the M-ABC, and 29 matched typically developed controls. Children were asked to copy a paragraph on a sheet of paper affixed to a digitizer supplying objective measures of the handwriting process. The handwriting proficiency screening questionnaire (HPSQ) was completed by their teachers while observing their performance and followed by evaluation of their final written product. Results indicated that compared to controls, children with DCD required significantly more on-paper and in-air time per stroke while copying. In addition, global legibility, unrecognizable letters and spatial arrangement measures of their written product were significantly inferior. Significant group differences were also found between the HPSQ subscales scores. Furthermore, 82.8% of all participants were correctly classified into groups based on one discriminate function which included two handwriting performance measures. These study results strongly propose application of triangular standardized evaluation to receive better insight of handwriting deficit features of individual children with DCD who write in Arabic. Copyright © 2013 Elsevier Ltd. All rights reserved.

  19. Specifying the Graphic Characteristics of Words That Influence Children's Handwriting

    ERIC Educational Resources Information Center

    Gosse, Claire; Carbonnelle, Simon; de Vleeschouwer, Christophe; Van Reybroeck, Marie

    2018-01-01

    Research about the development of the graphomotor side of writing is very scarce. The goal of this study was to gain a better understanding of what constitutes graphic complexity of written material by determining the impact of graphic characteristics on handwriting production. In this end, the pen stroke of cursive handwriting was precisely…

  20. Do Handwriting Difficulties Correlate with Core Symptomology, Motor Proficiency and Attentional Behaviours?

    ERIC Educational Resources Information Center

    Grace, Nicci; Enticott, Peter Gregory; Johnson, Beth Patricia; Rinehart, Nicole Joan

    2017-01-01

    Handwriting is commonly identified as an area of weakness in children with autism spectrum disorder (ASD), but precise deficits have not been fully characterised. Boys with ASD (n = 23) and matched controls (n = 20) aged 8-12 years completed a simple, digitised task to objectively assess handwriting performance using advanced descriptive measures.…

  1. For a Psycholinguistic Model of Handwriting Production: Testing the Syllable-Bigram Controversy

    ERIC Educational Resources Information Center

    Kandel, Sonia; Peereman, Ronald; Grosjacques, Geraldine; Fayol, Michel

    2011-01-01

    This study examined the theoretical controversy on the impact of syllables and bigrams in handwriting production. French children and adults wrote words on a digitizer so that we could collect data on the local, online processing of handwriting production. The words differed in the position of the lowest frequency bigram. In one condition, it…

  2. Short-term sensorimotor-based intervention for handwriting performance in elementary school children.

    PubMed

    Alhusaini, Adel A; Melam, Ganeswara Rao; Buragadda, Syamala

    2016-11-01

    Handwriting problems in childhood can have lifelong repercussions, affecting learning and career. Sensorimotor intervention therefore helps to alleviate these problems. Thirty-one students (16 boys, 15 girls) underwent Minnesota Handwriting Assessment (MHA) to assess legibility, form, alignment, size, and spacing (the primary variables in this subject) as well as rate. Finally, 10 students (seven boys, three girls) aged 6-8 years (mean age, 77.1 ± 1.45 months) participated in an intervention program. Baseline MHA, Handwriting Proficiency Screening Questionnaire (HPSQ), and grip strength were measured. The same group of students acted as their own controls and were analyzed before the interventions and later after completion of the protocol. There was a significant improvement in MHA scores for legibility, form, alignment, size and spacing (P < 0.05), with the exception of rate. There were also significant changes in legibility, time performance and physical and emotional wellbeing domains in the HPSQ, and grip strength (P < 0.05, paired t-test). Short-term sensorimotor-based intervention produced significant improvements in the handwriting performance of elementary school children. © 2016 Japan Pediatric Society.

  3. Validity and reliability of a new tool to evaluate handwriting difficulties in Parkinson’s disease

    PubMed Central

    Nackaerts, Evelien; Heremans, Elke; Smits-Engelsman, Bouwien C. M.; Broeder, Sanne; Vandenberghe, Wim; Bergmans, Bruno; Nieuwboer, Alice

    2017-01-01

    Background Handwriting in Parkinson’s disease (PD) features specific abnormalities which are difficult to assess in clinical practice since no specific tool for evaluation of spontaneous movement is currently available. Objective This study aims to validate the ‘Systematic Screening of Handwriting Difficulties’ (SOS-test) in patients with PD. Methods Handwriting performance of 87 patients and 26 healthy age-matched controls was examined using the SOS-test. Sixty-seven patients were tested a second time within a period of one month. Participants were asked to copy as much as possible of a text within 5 minutes with the instruction to write as neatly and quickly as in daily life. Writing speed (letters in 5 minutes), size (mm) and quality of handwriting were compared. Correlation analysis was performed between SOS outcomes and other fine motor skill measurements and disease characteristics. Intrarater, interrater and test-retest reliability were assessed using the intraclass correlation coefficient (ICC) and Spearman correlation coefficient. Results Patients with PD had a smaller (p = 0.043) and slower (p<0.001) handwriting and showed worse writing quality (p = 0.031) compared to controls. The outcomes of the SOS-test significantly correlated with fine motor skill performance and disease duration and severity. Furthermore, the test showed excellent intrarater, interrater and test-retest reliability (ICC > 0.769 for both groups). Conclusion The SOS-test is a short and effective tool to detect handwriting problems in PD with excellent reliability. It can therefore be recommended as a clinical instrument for standardized screening of handwriting deficits in PD. PMID:28253374

  4. Analysis of the IJCNN 2011 UTL Challenge

    DTIC Science & Technology

    2012-01-13

    large datasets from various application domains: handwriting recognition, image recognition, video processing, text processing, and ecology. The goal...http //clopinet.com/ul). We made available large datasets from various application domains handwriting recognition, image recognition, video...evaluation sets consist of 4096 examples each. Dataset Domain Features Sparsity Devel. Transf. AVICENNA Handwriting 120 0% 150205 50000 HARRY Video 5000 98.1

  5. The Influence of Spelling Ability on Handwriting Production: Children with and without Dyslexia

    ERIC Educational Resources Information Center

    Sumner, Emma; Connelly, Vincent; Barnett, Anna L.

    2014-01-01

    Current models of writing do not sufficiently address the complex relationship between the 2 transcription skills: spelling and handwriting. For children with dyslexia and beginning writers, it is conceivable that spelling ability will influence rate of handwriting production. Our aim in this study was to examine execution speed and temporal…

  6. Educational Interventions for Visual-Motor Deficiencies That Affect Handwriting in School-Aged Children.

    ERIC Educational Resources Information Center

    Dikowski, Timothy J.

    This practicum was designed to remediate handwriting skills in school-aged children who displayed visual-motor deficiencies that affect mechanical skills. Practicum goals were to: (1) identify and diagnose children with handwriting delays; (2) involve school and parent interaction by involving them with pre- and post-program assessment; (3)…

  7. Handwriting Movement Kinematics for Quantifying EPS in Patients Treated with Atypical Antipsychotics

    PubMed Central

    Caligiuri, Michael P.; Teulings, Hans-Leo; Dean, Charles E.; Niculescu, Alexander B.; Lohr, James B.

    2009-01-01

    Ongoing monitoring of neuroleptic-induced extrapyramidal side effects (EPS) is important to maximize treatment outcome, improve medication adherence and reduce re-hospitalization. Traditional approaches for assessing EPS such as parkinsonism, tardive akathisia, or dyskinesia rely upon clinical ratings. However, these observer-based EPS severity ratings can be unreliable and are subject to examiner bias. In contrast, quantitative instrumental methods are less subject to bias. Most instrumental methods have only limited clinical utility because of their complexity and costs. This paper describes an easy-to-use instrumental approach based on handwriting movements for quantifying EPS. Here, we present findings from psychiatric patients treated with atypical (second generation) antipsychotics. The handwriting task consisted of a sentence written several times within a 2 cm vertical boundary at a comfortable speed using an inkless pen and digitizing tablet. Kinematic variables including movement duration, peak vertical velocity and the number of acceleration peaks, and average normalized jerk (a measure of smoothness) for each up or down stroke and their submovements were analyzed. Results from 59 psychosis patients and 46 healthy comparison subjects revealed significant slowing and dysfluency in patients compared to controls. We observed differences across medications and daily dose. These findings support the ecological validity of handwriting movement analysis as an objective behavioral biomarker for quantifying the effects of antipsychotic medication and dose on the motor system. PMID:20381875

  8. Handwriting in Adults with Down Syndrome

    ERIC Educational Resources Information Center

    Tsao, Raphaele; Fartoukh, Mickael; Barbier, Marie-Laure

    2011-01-01

    Background: Although there is growing awareness about the potential for people with Down syndrome (DS) to become literate, we know little about the characteristics of handwriting within this population. Methods: Thirty-three participants took part in this experiment. Eleven adults with DS and 22 typically developing individuals (11 children…

  9. Handwriting measures as reflectors of executive functions among adults with Developmental Coordination Disorders (DCD)

    PubMed Central

    Rosenblum, Sara

    2013-01-01

    Planning ahead and organizational abilities in time and space are ingredients of high-level cognitive functions labeled as ‘Executive Functions’ (EF) required for daily activities such as writing or home management. EF deficits are considered a possible underlying brain mechanism involved in Developmental Coordination Disorders (DCD). The aim: of the study was to compare the handwriting process measures and the planning and organizational abilities in space and time of students with DCD with those of matched controls and to find whether handwriting measures can predict daily planning and organizational abilities among students with DCD. Method: 30 students diagnosed with DCD, between the ages of 24–41, and 30 age- and gender-matched controls participated in the study. They filled out the Handwriting Proficiency Screening Questionnaire (HPSQ) and the Adult Developmental Co-ordination Disorders Checklist (ADC). Furthermore, they copied a paragraph on a digitizer that is part of a computerized system Computerised Penmanship Evaluation Toll (ComPET). Results: Significant group differences were found for the HPSQ subscales scores as well as for the temporal and spatial measures of the paragraph copy task. Significant group differences were also found for the planning and organizational abilities in space and time as reflected through the ADC subscales. Significant medium correlations were found in both groups between the mean HPSQ time subscale and the ADC-B subscale mean score (r = 0.50/0.58, p < 0.05). Series of regression analyses indicated that two handwriting performance measures (mean HPSQ time subscale and mean stroke duration) predicted 19% of planning and organizational abilities as reflected through daily functions (ADC-B) [F(3, 54) = 38.37, β = 0.40, p < 0.0001]. Conclusion: The results support previous evidence about EF deficits as an underlying brain mechanism involved in motor coordination disorders, their significance as related to theoretical

  10. Developmental study of visual perception of handwriting movement: influence of motor competencies?

    PubMed

    Bidet-Ildei, Christel; Orliaguet, Jean-Pierre

    2008-07-25

    This paper investigates the influence of motor competencies for the visual perception of human movements in 6-10 years old children. To this end, we compared the kinematics of actual performed and perceptual preferred handwriting movements. The two children's tasks were (1) to write the letter e on a digitizer (handwriting task) and (2) to adjust the velocity of an e displayed on a screen so that it would correspond to "their preferred velocity" (perceptive task). In both tasks, the size of the letter (from 3.4 to 54.02 cm) was different on each trial. Results showed that irrespective of age and task, total movement time conforms to the isochrony principle, i.e., the tendency to maintain constant the duration of movement across changes of amplitude. However, concerning movement speed, there is no developmental correspondence between results obtained in the motor and the perceptive tasks. In handwriting task, movement time decreased with age but no effect of age was observed in the perceptive task. Therefore, perceptual preference of handwriting movement in children could not be strictly interpreted in terms of motor-perceptual coupling.

  11. The impact of handwriting difficulties on compositional quality in children with developmental coordination disorder

    PubMed Central

    Barnett, Anna L; Wilmut, Kate; Plumb, Mandy S

    2016-01-01

    Introduction There is substantial evidence to support the relationship between transcription skills (handwriting and spelling) and compositional quality. For children with developmental coordination disorder, handwriting can be particularly challenging. While recent research has aimed to investigate their handwriting difficulties in more detail, the impact of transcription on their compositional quality has not previously been examined. The aim of this exploratory study was to examine compositional quality in children with developmental coordination disorder and to ascertain whether their transcription skills influence writing quality. Method Twenty-eight children with developmental coordination disorder participated in the study, with 28 typically developing age and gender matched controls. The children completed the ‘free-writing’ task from the detailed assessment of speed of handwriting tool, which was evaluated for compositional quality using the Wechsler objective language dimensions. Results The children with developmental coordination disorder performed significantly below their typically developing peers on five of the six Wechsler objective language dimensions items. They also had a higher percentage of misspelled words. Regression analyses indicated that the number of words produced per minute and the percentage of misspelled words explained 55% of the variance for compositional quality. Conclusion The handwriting difficulties so commonly reported in children with developmental coordination disorder have wider repercussions for the quality of written composition. PMID:27807392

  12. Handwriting in Children and Adults with Down Syndrome: Developmental Delay or Specific Features?

    ERIC Educational Resources Information Center

    Tsao, Raphaele

    2017-01-01

    While there is a long history and tradition of behavioral research on basic motor skills in Down syndrome (DS), there has been only limited research on handwriting ability. We analyzed the spatiotemporal features of handwriting produced by children and adults with DS (n = 24), and compared their productions with those of comparison groups matched…

  13. Examining the relationship between motor assessments and handwriting consistency in children with and without probable developmental coordination disorder.

    PubMed

    Bo, Jin; Colbert, Alison; Lee, Chi-Mei; Schaffert, Jeffrey; Oswald, Kaitlin; Neill, Rebecca

    2014-09-01

    Children with Developmental Coordination Disorder (DCD) often experience difficulties in handwriting. The current study examined the relationships between three motor assessments and the spatial and temporal consistency of handwriting. Twelve children with probable DCD and 29 children from 7 to 12 years who were typically developing wrote the lowercase letters "e" and "l" in cursive and printed forms repetitively on a digitizing tablet. Three behavioral assessments, including the Beery-Buktenica Developmental Test of Visual-Motor Integration (VMI), the Minnesota Handwriting Assessment (MHA) and the Movement Assessment Battery for Children (MABC), were administered. Children with probable DCD had low scores on the VMI, MABC and MHA and showed high temporal, not spatial, variability in the letter-writing task. Their MABC scores related to temporal consistency in all handwriting conditions, and the Legibility scores in their MHA correlated with temporal consistency in cursive "e" and printed "l". It appears that children with probable DCD have prominent difficulties on the temporal aspect of handwriting. While the MHA is a good product-oriented assessment for measuring handwriting deficits, the MABC shows promise as a good assessment for capturing the temporal process of handwriting in children with DCD. Copyright © 2014 Elsevier Ltd. All rights reserved.

  14. Handwriting Deficits in Children with Minimal Brain Dysfunction: Effects of Methylphenidate (Ritalin) and Placebo.

    ERIC Educational Resources Information Center

    Lerer, Robert J.; And Others

    1979-01-01

    Fifty hyperactive and learning disabled children (8 to 12 years old) were selected for study because of severe handwriting difficulties. The children received methylphenidate (Ritalin) or placebo under double blind conditions. Twenty-six students (52 percent) showed improvement in overall handwriting following the administration of methylphenidate…

  15. Effects of a Classroom-Embedded Occupational Therapist–Teacher Handwriting Program for First-Grade Students

    PubMed Central

    Weaver, Lindy; Holland, Terri

    2014-01-01

    This study examined the effectiveness of Write Start, a handwriting and writing program cotaught by teachers and occupational therapists for first-grade children. Four classrooms (n = 80) received the Write Start program, and four (n = 58) received standard handwriting and writing instruction. Two teachers and an occupational therapist implemented the 24-session manualized program, which included station teaching and individualized supports. The program emphasized practice in small groups in which the coteaching team provided students with frequent feedback, encouraged self-evaluation, and facilitated peer modeling and peer evaluation. Students who completed the Write Start program improved more in handwriting legibility and speed than the group receiving standard instruction. Writing fluency and written composition were no different between groups at posttest; however, writing fluency was significantly higher for Write Start students at 6-mo follow-up. Write Start students with low legibility at baseline made significant improvements, suggesting that the program may benefit students at risk for handwriting and writing problems. PMID:25397764

  16. The Effect of Conscious Control on Handwriting in Children with Attention Deficit Hyperactivity Disorder

    ERIC Educational Resources Information Center

    Tucha, Oliver; Lange, Klaus W.

    2005-01-01

    Two experiments were performed regarding the effect of conscious control on handwriting fluency in healthy adults and ADHD children. First, 26 healthy students were asked to write a sentence under different conditions. The results indicate that automated handwriting movements are independent from visual feedback. Second, the writing performance of…

  17. Handwriting performance versus arm forward reach and grasp abilities among post-stroke patients, a case-control study.

    PubMed

    Israely, Sharon; Carmeli, Eli

    2017-01-01

    Evidence-based studies regarding deficits in handwriting performance relative to hand reaching and grasping after a stroke are lacking. To evaluate the extent of damage to handwriting skills compared to arm reach and grasp task among post-stroke patients. Eighteen patients and 19 healthy subjects were recruited to this case-control study. Patients were evaluated 15.2 days (±6.5) after the stroke using a Computerized Penmanship Evaluation Tool, surface Electromyography and Fugl-Meyer assessment. This study compared motor deficits in hand reaching and grasping and in handwriting between stroke patients and healthy subjects. Damage to handwriting performance relative to hand reaching and grasping skills was also evaluated. Significant differences were found between groups in handwriting performance (p < 0.05). The performance of the trapezius, biceps, and triceps muscles can predict 63.5% of the variance in the ability to write a short sentence (p < 0.023). Pen pressure can predict 74.9% of the hand motor performance from Fugl-Meyer assessment (p < 0.05). Handwriting was more damaged than was the pattern of activation of the proximal muscles of the shoulder and arm (p < 0.05). FM scores were highly, negatively correlated with the in-air writing time across tasks (r = -0.819, p < 0.004). This study confirms the clinical observation that dexterity skills are more damaged than are arm forward reach after a stroke. However, these differences in motor performance were not significant in mildly disabled patients, demonstrating the feasibility of handwriting rehabilitation in these patients. Therefore, we modestly recommend focusing on handwriting rehabilitation of the hemiparetic upper extremity in mildly impaired patients after a stroke.

  18. Practice Patterns of School-Based Occupational Therapists Targeting Handwriting: A Knowledge-to-Practice Gap

    ERIC Educational Resources Information Center

    Cramm, Heidi; Egan, Mary

    2015-01-01

    Poor handwriting is a common reason for referral to school-based occupational therapy. A survey was used to explore the extent to which current practice patterns in Ontario, Canada, align with evidence on effective intervention for handwriting. Knowledge-to-practice gaps were identified related to focus on performance components versus…

  19. Handwriting speed in children with Developmental Coordination Disorder: are they really slower?

    PubMed

    Prunty, Mellissa M; Barnett, Anna L; Wilmut, Kate; Plumb, Mandy S

    2013-09-01

    Handwriting difficulties are often included in descriptions of Developmental Coordination Disorder (DCD). They are cited as the most common reason for referral to health professionals following parent and teacher concerns about slow and untidy writing. The aim of this study was to compare handwriting performance in English children with and without DCD across a range of writing tasks, to gain a better understanding of the nature of 'slowness' so commonly reported. Twenty-eight 8-14 year-old children with a diagnosis of DCD participated in the study, with 28 typically developing age and gender matched controls. Participants completed the four handwriting tasks from the Detailed Assessment of Speed of Handwriting (DASH) and wrote their own name; all on a digitising writing tablet. The number of words written, speed of pen movements and the time spent pausing during the tasks were calculated. The findings confirmed what many professionals report, that children with DCD produce less text than their peers. However, this was not due to slow movement execution, but rather a higher percentage of time spent pausing. Discussion centres on the understanding of the pausing phenomenon in children with DCD and areas for further research. Copyright © 2013 Elsevier Ltd. All rights reserved.

  20. Neural Network and Letter Recognition.

    NASA Astrophysics Data System (ADS)

    Lee, Hue Yeon

    Neural net architectures and learning algorithms that recognize hand written 36 alphanumeric characters are studied. The thin line input patterns written in 32 x 32 binary array are used. The system is comprised of two major components, viz. a preprocessing unit and a Recognition unit. The preprocessing unit in turn consists of three layers of neurons; the U-layer, the V-layer, and the C -layer. The functions of the U-layer is to extract local features by template matching. The correlation between the detected local features are considered. Through correlating neurons in a plane with their neighboring neurons, the V-layer would thicken the on-cells or lines that are groups of on-cells of the previous layer. These two correlations would yield some deformation tolerance and some of the rotational tolerance of the system. The C-layer then compresses data through the 'Gabor' transform. Pattern dependent choice of center and wavelengths of 'Gabor' filters is the cause of shift and scale tolerance of the system. Three different learning schemes had been investigated in the recognition unit, namely; the error back propagation learning with hidden units, a simple perceptron learning, and a competitive learning. Their performances were analyzed and compared. Since sometimes the network fails to distinguish between two letters that are inherently similar, additional ambiguity resolving neural nets are introduced on top of the above main neural net. The two dimensional Fourier transform is used as the preprocessing and the perceptron is used as the recognition unit of the ambiguity resolver. One hundred different person's handwriting sets are collected. Some of these are used as the training sets and the remainders are used as the test sets. The correct recognition rate of the system increases with the number of training sets and eventually saturates at a certain value. Similar recognition rates are obtained for the above three different learning algorithms. The minimum error

  1. Examining the contribution of handwriting and spelling to written expression in kindergarten children

    PubMed Central

    AlOtaiba, Stephanie

    2011-01-01

    In this study, we examined the development of beginning writing skills in kindergarten children and the contribution of spelling and handwriting to these writing skills after accounting for early language, literacy, cognitive skills, and student characteristics. Two hundred and forty two children were given a battery of cognitive, oral language, reading, and writing measures. They exhibited a range of competency in spelling, handwriting, written expression, and in their ability to express ideas. Handwriting and spelling made statistically significant contributions to written expression, demonstrating the importance of these lower-order transcription skills to higher order text-generation skills from a very early age. The contributions of oral language and reading skills were not significant. Implications of these findings for writing development and instruction are addressed. PMID:23087544

  2. Computer Instruction in Handwriting, Spelling, and Composing for Students with Specific Learning Disabilities in Grades 4 to 9.

    PubMed

    Berninger, Virginia W; Nagy, William; Tanimoto, Steve; Thompson, Rob; Abbott, Robert D

    2015-02-01

    Effectiveness of iPad computerized writing instruction was evaluated for 4 th to 9 th graders ( n =35) with diagnosed specific learning disabilities (SLDs) affecting writing: dysgraphia (impaired handwriting), dyslexia (impaired spelling), and oral and written language learning disability (OWL LD) (impaired syntax composing). Each of the 18 two-hour lessons had multiple learning activities aimed at improving subword - (handwriting), word - (spelling), and syntax - (sentence composing) level language skills by engaging all four language systems (listening, speaking, reading, and writing) to create a functional writing system. To evaluate treatment effectiveness, normed measures of handwriting, spelling, and composing were used with the exception of one non-normed alphabet writing task. Results showed that the sample as a whole improved significantly from pretest to posttest in three handwriting measures, four spelling measures, and both written and oral syntax construction measures. All but oral syntax was evaluated with pen and paper tasks, showing that the computer writing instruction transferred to better writing with pen and paper. Performance on learning activities during instruction correlated with writing outcomes; and individual students tended to improve in the impaired skill associated with their diagnosis. Thus, although computers are often used in upper elementary school and middle school in the United States (US) for accommodations (alternatives to pen and paper) for students with persisting SLDs affecting writing, this study shows computers can also be used for Tier 3 instruction to improve the writing skills of students in grades 4 to 9 with history of persisting writing disabilities.

  3. Computer Instruction in Handwriting, Spelling, and Composing for Students with Specific Learning Disabilities in Grades 4 to 9

    PubMed Central

    Berninger, Virginia W.; Nagy, William; Tanimoto, Steve; Thompson, Rob; Abbott, Robert D.

    2014-01-01

    Effectiveness of iPad computerized writing instruction was evaluated for 4th to 9th graders (n=35) with diagnosed specific learning disabilities (SLDs) affecting writing: dysgraphia (impaired handwriting), dyslexia (impaired spelling), and oral and written language learning disability (OWL LD) (impaired syntax composing). Each of the 18 two-hour lessons had multiple learning activities aimed at improving subword- (handwriting), word- (spelling), and syntax- (sentence composing) level language skills by engaging all four language systems (listening, speaking, reading, and writing) to create a functional writing system. To evaluate treatment effectiveness, normed measures of handwriting, spelling, and composing were used with the exception of one non-normed alphabet writing task. Results showed that the sample as a whole improved significantly from pretest to posttest in three handwriting measures, four spelling measures, and both written and oral syntax construction measures. All but oral syntax was evaluated with pen and paper tasks, showing that the computer writing instruction transferred to better writing with pen and paper. Performance on learning activities during instruction correlated with writing outcomes; and individual students tended to improve in the impaired skill associated with their diagnosis. Thus, although computers are often used in upper elementary school and middle school in the United States (US) for accommodations (alternatives to pen and paper) for students with persisting SLDs affecting writing, this study shows computers can also be used for Tier 3 instruction to improve the writing skills of students in grades 4 to 9 with history of persisting writing disabilities. PMID:25378768

  4. Handwriting in 2015: A Main Occupation for Primary School-Aged Children in the Classroom?

    ERIC Educational Resources Information Center

    McMaster, Emily; Roberts, Tara

    2016-01-01

    Historically, handwriting is a skill acquired by children in the classroom. The relevance of this skill today is currently debated due to advances in technology. A nonexperimental time-series design investigated how much time Australian primary school children spend on handwriting in the classroom. A second aim investigated how much time was spent…

  5. The Effect of Two Handwriting Approaches, D'Nealian and Sunform, on Kindergartners' Letter Formations

    ERIC Educational Resources Information Center

    Shaw, Donita Massengill

    2011-01-01

    The purpose of this study was to evaluate the effect of two handwriting approaches, D'Nealian and Sunform, on kindergartners' letter formations. Forty-one participants received D'Nealian handwriting instruction as the control group; 133 kindergartners were instructed in Sunform as the experimental approach. Pre-post tests at the beginning and end…

  6. Remediating Handwriting Skills for Learning Disabled Students.

    ERIC Educational Resources Information Center

    Highsmith, Victoria

    The paper describes strategies for teaching six different handwriting skills to learning disabled (LD) elementary students. A rationale for each strategy precedes step-by-step procedural descriptions. Strategies in the following areas are described: (1) introducing LD children with motor coordination deficits to alphabetic symbols using sandpaper…

  7. Handwriting Impairments in People With Parkinson's Disease and Freezing of Gait.

    PubMed

    Heremans, Elke; Nackaerts, Evelien; Broeder, Sanne; Vervoort, Griet; Swinnen, Stephan P; Nieuwboer, Alice

    2016-11-01

    Recent studies show that patients with Parkinson's disease (PD) and freezing of gait (FOG) experience motor problems outside their gait freezing episodes. Because handwriting is also a sequential movement, it may be affected in PD patients with FOG relative to those without. The current study aimed to assess the quality of writing in PD patients with and without FOG in comparison to healthy controls (CTs) during various writing tasks. Handwriting was assessed by the writing of cursive loops on a touch-sensitive writing tablet and by means of the Systematic Screening of Handwriting Difficulties (SOS) test in 30 PD patients with and without freezing and 15 healthy age-matched CTs. The tablet tests were performed at 2 different sizes, either continuously or alternatingly, as indicated by visual target lines. Patients with freezing showed decreased writing amplitudes and increased variability compared with CTs and patients without freezing on the writing tablet tests. Writing problems were present during both tests but were more pronounced during writing at alternating compared with writing at continuous size. Patients with freezing also had a higher total score on the SOS test than patients without freezing and CTs, reflecting more extensive handwriting problems, particularly with writing fluency. Writing is more severely affected in PD patients with FOG than in those without FOG. These results indicate that deficient movement sequencing and adaptation is a generic problem in patients with FOG. © The Author(s) 2016.

  8. Neural network and letter recognition

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Lee, Hue Yeon.

    Neural net architectures and learning algorithms that recognize hand written 36 alphanumeric characters are studied. The thin line input patterns written in 32 x 32 binary array are used. The system is comprised of two major components, viz. a preprocessing unit and a Recognition unit. The preprocessing unit in turn consists of three layers of neurons; the U-layer, the V-layer, and the C-layer. The functions of the U-layer is to extract local features by template matching. The correlation between the detected local features are considered. Through correlating neurons in a plane with their neighboring neurons, the V-layer would thicken themore » on-cells or lines that are groups of on-cells of the previous layer. These two correlations would yield some deformation tolerance and some of the rotational tolerance of the system. The C-layer then compresses data through the Gabor transform. Pattern dependent choice of center and wavelengths of Gabor filters is the cause of shift and scale tolerance of the system. Three different learning schemes had been investigated in the recognition unit, namely; the error back propagation learning with hidden units, a simple perceptron learning, and a competitive learning. Their performances were analyzed and compared. Since sometimes the network fails to distinguish between two letters that are inherently similar, additional ambiguity resolving neural nets are introduced on top of the above main neural net. The two dimensional Fourier transform is used as the preprocessing and the perceptron is used as the recognition unit of the ambiguity resolver. One hundred different person's handwriting sets are collected. Some of these are used as the training sets and the remainders are used as the test sets.« less

  9. A Password System Based on Sketches

    DTIC Science & Technology

    2016-07-12

    than traditional passwords. Biometrics include biological properties such as fingerprints, voices, faces, and even handwriting . Fingerprints have been...perturbation of the sketch495 results in a corresponding change in the model, which is exactly what we imply when we say that model is (locally...Conf. on Frontiers in Handwriting Recognition (2010) 339–344.690 [29] M. Martinez-Diaz, J. Fierrez, J. Galbally, The DooDB Graphical Password Database: Data Analysis and Benchmark Results, IEEE Access 1 (2013) 596–605. 32 33

  10. Effects of a classroom-embedded occupational therapist-teacher handwriting program for first-grade students.

    PubMed

    Case-Smith, Jane; Weaver, Lindy; Holland, Terri

    2014-01-01

    This study examined the effectiveness of Write Start, a handwriting and writing program cotaught by teachers and occupational therapists for first-grade children. Four classrooms (n = 80) received the Write Start program, and four (n = 58) received standard handwriting and writing instruction. Two teachers and an occupational therapist implemented the 24-session manualized program, which included station teaching and individualized supports. The program emphasized practice in small groups in which the coteaching team provided students with frequent feedback, encouraged self-evaluation, and facilitated peer modeling and peer evaluation. Students who completed the Write Start program improved more in handwriting legibility and speed than the group receiving standard instruction. Writing fluency and written composition were no different between groups at posttest; however, writing fluency was significantly higher for Write Start students at 6-mo follow-up. Write Start students with low legibility at baseline made significant improvements, suggesting that the program may benefit students at risk for handwriting and writing problems. Copyright © 2014 by the American Occupational Therapy Association, Inc.

  11. Rotation-invariant neural pattern recognition system with application to coin recognition.

    PubMed

    Fukumi, M; Omatu, S; Takeda, F; Kosaka, T

    1992-01-01

    In pattern recognition, it is often necessary to deal with problems to classify a transformed pattern. A neural pattern recognition system which is insensitive to rotation of input pattern by various degrees is proposed. The system consists of a fixed invariance network with many slabs and a trainable multilayered network. The system was used in a rotation-invariant coin recognition problem to distinguish between a 500 yen coin and a 500 won coin. The results show that the approach works well for variable rotation pattern recognition.

  12. Brainstem arteriovenous malformation presenting with dyspraxic handwriting in a young girl.

    PubMed

    Coppola, Giangennaro; D'Amico, Alessandra; Pironti, Erica; Martino, Federica; Santoro, Elena; Di Paolo, Nilde; Isone, Claudia; Catone, Gennaro

    2014-06-01

    We report the case of a 11-year-old girl who developed an isolated hand-writing disorder with dysgraphia at the beginning of the school year in the sixth grade. A brain magnetic resonance angiography showed a round arteriovenous malformation sited in the left side of the midbrain extending to the ipsilateral medio-basal thalamus. Child neurologists should never neglect a thorough neurological evaluation in case of isolated worsening of handwriting, to rule out possible underlying organic causes. Copyright © 2013 The Japanese Society of Child Neurology. Published by Elsevier B.V. All rights reserved.

  13. Good handwriting: a vital element of a district nurse's duty of care.

    PubMed

    Griffith, Richard

    2013-07-01

    Written records and prescriptions continue to be common in district nursing and will continue to be until the Government achieves its goal of a fully digital NHS by 2018. The main issue with written records and prescriptions is the risk to patient safety caused by poor handwriting, resulting in illegible instructions and prescriptions. In this article the author considers the duty of district nurses to write clearly and highlights the financial and human cost of poor handwriting.

  14. Handwriting in Signing Deaf Middle-School Students and Relationship with Text Composition and Spelling

    ERIC Educational Resources Information Center

    Alamargot, Denis; Morin, Marie-France; Simard-Dupuis, Érika

    2018-01-01

    We set out to (i) assess the handwriting skills of signing deaf students, and (ii) examine the extent to which their text composition and spelling performances are linked to their handwriting efficiency. We asked 15 prelingually and profoundly deaf middle-school students (M = 15.18 years), all sign-language users, and a group of hearing students…

  15. Kinematic analysis of handwriting movements in patients with obsessive-compulsive disorder

    PubMed Central

    Mavrogiorgou, P; Mergl, R; Tigges, P; El Husseini, J; Schroter, A; Juckel, G; Zaudig, M; Hegerl, U

    2001-01-01

    OBJECTIVES—Basal ganglia dysfunction is supposed to play a part in the pathophysiology of obsessive-compulsive disorder (OCD). A new computer aided technique for the analysis of hand movements, allowing the detection of subtle motor performance abnormalities, was applied in this study of patients with OCD and healthy controls.
METHODS—Using a digitising graphic tablet, hand motor performance was studied in 22 unmedicated patients with OCD and compared with 22 healthy controls. All subjects drew superimposed concentric circles with both the right and the left hand, in addition to writing a given sentence, their personal signature, and letter sequences in four different sizes. Kinematic parameters were calculated to quantify hand motion.
RESULTS—Patients with OCD had significant impairments of handwriting performance, reflected by lower peak velocity (sentence t=3.6; p=0.001; signature t=2.8; p=0.01) and micrographia (sentence t=3.4; p=0.002; signature t=2.5; p=0.02), compared with controls and shortened acceleration phases per stroke (sentence t=2.4; p=0.02; signature t=4.1; p=0.000). By contrast, in repetitive drawing, patients with OCD had higher peak velocity than healthy controls (group×task interaction p<0.01). There were no significant differences in left and right hand performance between groups. Patients with early versus late age of onset differed in handwriting parameters, such as handwriting consistency. Greater severity of obsessions and compulsions correlated with increasingly poor handwriting performance in patients with OCD.
CONCLUSIONS—A subtle motor dysfunction in OCD can be detected with a digitising tablet. The findings show handwriting impairments in patients with OCD, in line with the assumption that basal ganglia dysfunction is part of OCD pathophysiology. Repetitive motor pattern performance was not impaired, but rather tended to be even better in patients with OCD than in controls. The findings also support the concept that

  16. Handwriting performance in the absence of visual control in writer's cramp patients: Initial observations

    PubMed Central

    Chakarov, Vihren; Hummel, Sibylla; Losch, Florian; Schulte-Mönting, Jürgen; Kristeva, Rumyana

    2006-01-01

    Background The present study was aimed at investigating the writing parameters of writer's cramp patients and control subjects during handwriting of a test sentence in the absence of visual control. Methods Eight right-handed patients with writer's cramp and eight healthy volunteers as age-matched control subjects participated in the study. The experimental task consisted in writing a test sentence repeatedly for fifty times on a pressure-sensitive digital board. The subject did not have visual control on his handwriting. The writing performance was stored on a PC and analyzed off-line. Results During handwriting all patients developed a typical dystonic limb posture and reported an increase in muscular tension along the experimental session. The patients were significantly slower than the controls, with lower mean vertical pressure of the pen tip on the paper and they could not reach the endmost letter of the sentence in the given time window. No other handwriting parameter differences were found between the two groups. Conclusion Our findings indicate that during writing in the absence of visual feedback writer's cramp patients are slower and could not reach the endmost letter of the test sentence, but their level of automatization is not impaired and writer's cramp handwriting parameters are similar to those of the controls except for even lower vertical pressure of the pen tip on the paper, which is probably due to a changed strategy in such experimental conditions. PMID:16594993

  17. Novel Automated Morphometric and Kinematic Handwriting Assessment: A Validity Study in Children with ASD and ADHD

    ERIC Educational Resources Information Center

    Dirlikov, Benjamin; Younes, Laurent; Nebel, Mary Beth; Martinelli, Mary Katherine; Tiedemann, Alyssa Nicole; Koch, Carolyn A.; Fiorilli, Diana; Bastian, Amy J.; Denckla, Martha Bridge; Miller, Michael I.; Mostofsky, Stewart H.

    2017-01-01

    This study presents construct validity for a novel automated morphometric and kinematic handwriting assessment, including (1) convergent validity, establishing reliability of automated measures with traditional manual-derived Minnesota Handwriting Assessment (MHA), and (2) discriminant validity, establishing that the automated methods distinguish…

  18. Unsupervised categorization method of graphemes on handwritten manuscripts: application to style recognition

    NASA Astrophysics Data System (ADS)

    Daher, H.; Gaceb, D.; Eglin, V.; Bres, S.; Vincent, N.

    2012-01-01

    We present in this paper a feature selection and weighting method for medieval handwriting images that relies on codebooks of shapes of small strokes of characters (graphemes that are issued from the decomposition of manuscripts). These codebooks are important to simplify the automation of the analysis, the manuscripts transcription and the recognition of styles or writers. Our approach provides a precise features weighting by genetic algorithms and a highperformance methodology for the categorization of the shapes of graphemes by using graph coloring into codebooks which are applied in turn on CBIR (Content Based Image Retrieval) in a mixed handwriting database containing different pages from different writers, periods of the history and quality. We show how the coupling of these two mechanisms 'features weighting - graphemes classification' can offer a better separation of the forms to be categorized by exploiting their grapho-morphological, their density and their significant orientations particularities.

  19. Handwriting Without Tears(®): General Education Effectiveness Through a Consultative Approach.

    PubMed

    Donica, Denise K

    2015-01-01

    This study explores the effectiveness of the Handwriting Without Tears(®) (HWT) kindergarten printing curriculum in general education through a consultative approach with occupational therapy. One cohort of students was the control (n = 19), whereas two other cohorts were experimental groups learning printing through the HWT curriculum (n = 20 each). The Test of Handwriting Skills-Revised (THS-R) was used to collect end-of-year legibility scores for all cohorts. Both experimental groups individually and both experimental groups combined into one group outperformed the control group on all 10 of the THS-R subtests-scoring significantly higher (p < .05 using analysis of covariance controlling for age and gender) on 6 of the subtests for the former and 7 for the latter-and on overall score. Large treatment effects were found for the standard score for each experimental group (d = 0.81, 1.03, and 1.00). This study supports the consultative role of occupational therapy with teachers in general education for handwriting curriculum implementation and the success of HWT for printing instruction. Copyright © 2015 by the American Occupational Therapy Association, Inc.

  20. An Analysis of Illegibilities in the Cursive Handwriting of 1,000 Selected Sixth-Grade Students.

    ERIC Educational Resources Information Center

    Horton, Lowell Wayne

    The purpose of this study was to collect and analyze specimens of cursive handwriting of 1,000 selected sixth grade students in an attempt to determine analytically how sex and handedness differences affected cursive handwriting. Specifically, an attempt was made to determine those particular letters or letter combinations which were illegible…

  1. Recognition of handwritten similar Chinese characters by self-growing probabilistic decision-based neural network.

    PubMed

    Fu, H C; Xu, Y Y; Chang, H Y

    1999-12-01

    Recognition of similar (confusion) characters is a difficult problem in optical character recognition (OCR). In this paper, we introduce a neural network solution that is capable of modeling minor differences among similar characters, and is robust to various personal handwriting styles. The Self-growing Probabilistic Decision-based Neural Network (SPDNN) is a probabilistic type neural network, which adopts a hierarchical network structure with nonlinear basis functions and a competitive credit-assignment scheme. Based on the SPDNN model, we have constructed a three-stage recognition system. First, a coarse classifier determines a character to be input to one of the pre-defined subclasses partitioned from a large character set, such as Chinese mixed with alphanumerics. Then a character recognizer determines the input image which best matches the reference character in the subclass. Lastly, the third module is a similar character recognizer, which can further enhance the recognition accuracy among similar or confusing characters. The prototype system has demonstrated a successful application of SPDNN to similar handwritten Chinese recognition for the public database CCL/HCCR1 (5401 characters x200 samples). Regarding performance, experiments on the CCL/HCCR1 database produced 90.12% recognition accuracy with no rejection, and 94.11% accuracy with 6.7% rejection, respectively. This recognition accuracy represents about 4% improvement on the previously announced performance. As to processing speed, processing before recognition (including image preprocessing, segmentation, and feature extraction) requires about one second for an A4 size character image, and recognition consumes approximately 0.27 second per character on a Pentium-100 based personal computer, without use of any hardware accelerator or co-processor.

  2. Effectiveness of a handwriting readiness program in head start: a two-group controlled trial.

    PubMed

    Lust, Carol A; Donica, Denise K

    2011-01-01

    This study measured skill improvement in prewriting skills, kindergarten readiness, first-name writing, and handwriting-nonspecific fine motor skills of students at Head Start who participated in Handwriting Without Tears-Get Set for School (HWT-GSS) programming. We conducted a two-group, nonrandomized controlled trial using a pretest-posttest design at a rural Head Start. The effectiveness of adding the HWT-GSS curriculum in one preschool classroom was compared with a control classroom. On posttesting, the experimental group made significant improvements compared with the control group in prewriting, kindergarten readiness, and fine motor skills. Both groups made significant improvements between pretesting and posttesting in prewriting, first name writing, and school readiness. Adding HWT-GSS to the Head Start program would be beneficial in improving handwriting readiness skills.

  3. Influence of handwriting skills during spelling in primary and lower secondary grades

    PubMed Central

    Pontart, Virginie; Bidet-Ildei, Christel; Lambert, Eric; Morisset, Pauline; Flouret, Lisa; Alamargot, Denis

    2013-01-01

    We sought to identify, the impact of handwriting skills on the efficiency and temporal course of word spelling across Grades 2–9. Eighty-four students, drawn from primary and lower secondary schools, were asked to perform a dictation task to assess their word spelling. They also had to write out the letters of the alphabet, as well as their firstnames and surnames, from memory to assess their handwriting skills. Handwriting kinematics were recorded using a digitizing tablet and a computer running Eye and Pen software. Results revealed that graphomotor skills (as assessed by the name writing task) influenced the success and temporal course of spelling, but only in primary grades, whereas the influence of orthographic knowledge (as assessed by the alphabet task) could still be observed in the lower secondary grades, even if it ceased to influence the temporal course and only affected errors. We discuss what these findings tell us about changes in transcription processes over the course of child development. PMID:24204357

  4. Relationship between Legible Handwriting and Level of Success of Third Grade Students in Written Expression

    ERIC Educational Resources Information Center

    Bayat, Seher; Küçükayar, Hasan

    2016-01-01

    This study aims to identify third-grade students' performance levels for written expression and handwriting and to find the relationship between these performances. The study is based on relational screening model. It is carried out with 110 third grade students. Students' levels of success in handwriting and in written expression are evaluated…

  5. Kinematical analysis of handwriting movements in depressed patients.

    PubMed

    Mergl, R; Juckel, G; Rihl, J; Henkel, V; Karner, M; Tigges, P; Schröter, A; Hegerl, U

    2004-05-01

    Motor disturbances are a relevant aspect of depression. Kinematical analysis of movements can be applied to explore which type of motor dysfunction is associated with depression. We hypothesized that depressed patients draw and write significantly slower than controls and that motor disturbances become more pronounced under bi-manual demands. We examined 37 depressed patients and 37 healthy controls using a digitizing graphic tablet and subsequent kinematical analysis of handwriting and rapid drawing movements. Depressed patients performed drawing with significantly less regular velocity than controls (P < 0.001), but normal velocity. Motor differences between patients and controls did not increase under bi-manual demands. Handwriting of patients was abnormally slow (P = 0.04). Irregular patterns of velocity peaks in depressed patients point to basal ganglia dysfunction and/or deficient activity of the sensorimotor cortex and the supplementary motor area as a possible substrate of hand-motor disturbances in depression.

  6. Spatial and dynamical handwriting analysis in mild cognitive impairment.

    PubMed

    Kawa, Jacek; Bednorz, Adam; Stępień, Paula; Derejczyk, Jarosław; Bugdol, Monika

    2017-03-01

    Background and Objectives Standard clinical procedure of Mild Cognitive Impairment (MCI) assessment employs time-consuming tests of psychological evaluation and requires the involvement of specialists. The employment of quantitative methods proves to be superior to clinical judgment, yet reliable, fast and inexpensive tests are not available. This study was conducted as a first step towards the development of a diagnostic tool based on handwriting. Methods In this paper the handwriting sample of a group of 37 patients with MCI (mean age 76.1±5.8) and 37 healthy controls (mean age 74.8±5.7) was collected using a Livescribe Echo Pen while completing three tasks: (1) regular writing, (2) all-capital-letters writing, and (3) single letter multiply repeated. Parameters differentiating both groups were selected in each task. Results Subjects with confirmed MCI needed more time to complete task one (median 119.5s, IQR - interquartile range - 38.1 vs. 95.1s, IQR 29.2 in control and MCI group, p-value <0.05) and two (median 84.2s, IQR 49.2 and 53.7s, IQR 30.5 in control and MCI group) as their writing was significantly slower. These results were associated with a longer time to complete a single stroke of written text. The written text was also noticeably larger in the MCI group in all three tasks (e.g. median height of the text block in task 2 being 22.3mm, IQR 12.9 in MCI and 20.2mm, IQR 8.7 in control group). Moreover, the MCI group showed more variation in the dynamics of writing: longer pause between strokes in task 1 and 2. The all-capital-letters task produced most of the discriminating features. Conclusion Proposed handwriting features are significant in distinguishing MCI patients. Inclusion of quantitative handwriting analysis in psychological assessment may be a step forward towards a fast MCI diagnosis. Copyright © 2017 Elsevier Ltd. All rights reserved.

  7. A new algorithm and system for the characterization of handwriting strokes with delta-lognormal parameters.

    PubMed

    Djioua, Moussa; Plamondon, Réjean

    2009-11-01

    In this paper, we present a new analytical method for estimating the parameters of Delta-Lognormal functions and characterizing handwriting strokes. According to the Kinematic Theory of rapid human movements, these parameters contain information on both the motor commands and the timing properties of a neuromuscular system. The new algorithm, called XZERO, exploits relationships between the zero crossings of the first and second time derivatives of a lognormal function and its four basic parameters. The methodology is described and then evaluated under various testing conditions. The new tool allows a greater variety of stroke patterns to be processed automatically. Furthermore, for the first time, the extraction accuracy is quantified empirically, taking advantage of the exponential relationships that link the dispersion of the extraction errors with its signal-to-noise ratio. A new extraction system which combines this algorithm with two other previously published methods is also described and evaluated. This system provides researchers involved in various domains of pattern analysis and artificial intelligence with new tools for the basic study of single strokes as primitives for understanding rapid human movements.

  8. What do the experts know? Calibration, precision, and the wisdom of crowds among forensic handwriting experts.

    PubMed

    Martire, Kristy A; Growns, Bethany; Navarro, Danielle J

    2018-04-17

    Forensic handwriting examiners currently testify to the origin of questioned handwriting for legal purposes. However, forensic scientists are increasingly being encouraged to assign probabilities to their observations in the form of a likelihood ratio. This study is the first to examine whether handwriting experts are able to estimate the frequency of US handwriting features more accurately than novices. The results indicate that the absolute error for experts was lower than novices, but the size of the effect is modest, and the overall error rate even for experts is large enough as to raise questions about whether their estimates can be sufficiently trustworthy for presentation in courts. When errors are separated into effects caused by miscalibration and those caused by imprecision, we find systematic differences between individuals. Finally, we consider several ways of aggregating predictions from multiple experts, suggesting that quite substantial improvements in expert predictions are possible when a suitable aggregation method is used.

  9. An examination of writing pauses in the handwriting of children with developmental coordination disorder.

    PubMed

    Prunty, Mellissa M; Barnett, Anna L; Wilmut, Kate; Plumb, Mandy S

    2014-11-01

    Difficulties with handwriting are reported as one of the main reasons for the referral of children with Developmental Coordination Disorder (DCD) to healthcare professionals. In a recent study we found that children with DCD produced less text than their typically developing (TD) peers and paused for 60% of a free-writing task. However, little is known about the nature of the pausing; whether they are long pauses possibly due to higher level processes of text generation or fatigue, or shorter pauses related to the movements between letters. This gap in the knowledge-base creates barriers to understanding the handwriting difficulties in children with DCD. The aim of this study was to characterise the pauses observed in the handwriting of English children with and without DCD. Twenty-eight 8-14 year-old children with a diagnosis of DCD participated in the study, with 28 TD age and gender matched controls. Participants completed the 10 min free-writing task from the Detailed Assessment of Speed of Handwriting (DASH) on a digitising writing tablet. The total overall percentage of pausing during the task was categorised into four pause time-frames, each derived from the literature on writing (250 ms to 2 s; 2-4 s; 4-10 s and >10 s). In addition, the location of the pauses was coded (within word/between word) to examine where the breakdown in the writing process occurred. The results indicated that the main group difference was driven by more pauses above 10 s in the DCD group. In addition, the DCD group paused more within words compared to TD peers, indicating a lack of automaticity in their handwriting. These findings may support the provision of additional time for children with DCD in written examinations. More importantly, they emphasise the need for intervention in children with DCD to promote the acquisition of efficient handwriting skill. Copyright © 2014 The Authors. Published by Elsevier Ltd.. All rights reserved.

  10. Handwriting assessment to distinguish comorbid learning difficulties from attention deficit hyperactivity disorder in Chinese adolescents: A case-control study.

    PubMed

    Li-Tsang, Cecilia W P; Li, Tim M H; Lau, Mandy S W; Ho, Choco H Y; Leung, Howard W H

    2018-05-15

    Attention deficit hyperactivity disorder (ADHD) and learning difficulties (LDs) are proposed as 2 overlapping disorders. The objective of this study was to investigate the handwriting performance in ADHD and comorbid ADHD-LD adolescents. The study examined the Chinese and English handwriting performance and sensorimotor skills of 32 ADHD, 12 ADHD-LD, and their matched controls. Participants with ADHD had comparable writing time and speed, but the readability was lower than their controls. Participants with ADHD-LD had lower writing speeds in both Chinese and English handwriting than their controls. The ADHD and ADHD-LD groups also showed larger variations in either speed or pen pressure than their controls. Chinese handwriting assessment effectively classified ADHD and ADHD-LD with good sensitivity and positive predictive value. Clinicians should be aware of the fundamental difference between the 2 disorders and make good use of handwriting assessment as a reference to deliver effective therapies and trainings. Copyright © 2018 John Wiley & Sons, Ltd.

  11. A Comparison between Students Who Receive and Who Do Not Receive a Writing Readiness Interventions on Handwriting Quality, Speed and Positive Reactions

    ERIC Educational Resources Information Center

    Lifshitz, Nirit; Har-Zvi, Shirley

    2015-01-01

    Proper acquisition of handwriting is required for success in school. This study compared the effects of two writing readiness interventions, "Traffic Light" and "Word and Sound" on kindergartners' handwriting quality, speed and positive reactions to writing. Handwriting readiness training for kindergarten children is…

  12. Focus of attention and automaticity in handwriting.

    PubMed

    MacMahon, Clare; Charness, Neil

    2014-04-01

    This study investigated the nature of automaticity in everyday tasks by testing handwriting performance under single and dual-task conditions. Item familiarity and hand dominance were also manipulated to understand both cognitive and motor components of the task. In line with previous literature, performance was superior in an extraneous focus of attention condition compared to two different skill focus conditions. This effect was found only when writing with the dominant hand. In addition, performance was superior for high familiarity compared to low familiarity items. These findings indicate that motor and cognitive familiarity are related to the degree of automaticity of motor skills and can be manipulated to produce different performance outcomes. The findings also imply that the progression of skill acquisition from novel to novice to expert levels can be traced using different dual-task conditions. The separation of motor and cognitive familiarity is a new approach in the handwriting domain, and provides insight into the nature of attentional demands during performance. Copyright © 2013 Elsevier B.V. All rights reserved.

  13. A quantitative measure of handwriting dysfluency for assessing tardive dyskinesia.

    PubMed

    Caligiuri, Michael P; Teulings, Hans-Leo; Dean, Charles E; Lohr, James B

    2015-04-01

    Tardive dyskinesia (TD) is a movement disorder commonly associated with chronic exposure to antidopaminergic medications, which may be in some cases disfiguring and socially disabling. The consensus from a growing body of research on the incidence and prevalence of TD in the modern era of antipsychotics indicates that this disorder has not disappeared continues to challenge the effective management of psychotic symptoms in patients with schizophrenia. A fundamental component in an effective strategy for managing TD is its reliable and accurate assessment. In the present study, we examined the clinical utility of a brief handwriting dysfluency measure for quantifying TD. Digitized samples of handwritten circles and loops were obtained from 62 psychosis patients with or without TD and from 50 healthy subjects. Two measures of dysfluent pen movements were extracted from each vertical pen stroke, including normalized jerk and the number of acceleration peaks. Tardive dyskinesia patients exhibited significantly higher dysfluency scores than non-TD patients and controls. Severity of handwriting movement dysfluency was correlated with Abnormal Involuntary Movement Scale severity ratings for some tasks. The procedure yielded high degrees of test-retest reliability. These results suggest that measures of handwriting movement dysfluency may be particularly useful for objectively evaluating the efficacy of pharmacotherapeutic strategies for treating TD.

  14. A Quantitative Measure of Handwriting Dysfluency for Assessing Tardive Dyskinesia

    PubMed Central

    Caligiuri, Michael P.; Teulings, Hans-Leo; Dean, Charles E.; Lohr, James B.

    2015-01-01

    Tardive dyskinesia (TD) is movement disorder commonly associated with chronic exposure to antidopaminergic medications which may be in some cases disfiguring and socially disabling. The consensus from a growing body of research on the incidence and prevalence of TD in the modern era of antipsychotics indicates that this disorder has not disappeared continues to challenge the effective management of psychotic symptoms in patients with schizophrenia. A fundamental component in an effective strategy for managing TD is its reliable and accurate assessment. In the present study, we examined the clinical utility of a brief handwriting dysfluency measure for quantifying TD. Digitized samples of handwritten circles and loops were obtained from 62 psychosis patients with or without TD and from 50 healthy subjects. Two measures of dysfluent pen movements were extracted from each vertical pen stroke, including normalized jerk and the number of acceleration peaks. TD patients exhibited significantly higher dysfluency scores than non-TD patients and controls. Severity of handwriting movement dysfluency was correlated with AIMS severity ratings for some tasks. The procedure yielded high degrees of test-retest reliability. These results suggest that measures of handwriting movement dysfluency may be particularly useful for objectively evaluating the efficacy of pharmacotherapeutic strategies for treating TD. PMID:25679121

  15. Development of Early Handwriting: Visual-Motor Control During Letter Copying

    PubMed Central

    Maldarelli, Jennifer E.; Kahrs, Björn A.; Hunt, Sarah C.; Lockman, Jeffrey J.

    2015-01-01

    Despite the importance of handwriting for school readiness and early academic progress, prior research on the development of handwriting has focused primarily on the product rather than the process by which young children write letters. In contrast, in the present work, early handwriting is viewed as involving a suite of perceptual, motor and cognitive abilities, which must work in unison if children are to write letters efficiently. To study such coordination, head-mounted eye-tracking technology was used to investigate the process of visual-motor coordination while kindergarten children (N=23) and adults (N=11) copied individual letters and strings of letters that differed in terms of their phonemic properties. Results indicated that kindergarten children were able to copy single letters efficiently, as did adults. When the cognitive demands of the task increased and children were presented with strings of letters, however, their ability to copy letters efficiently was compromised: children frequently interrupted their writing mid-letter, whereas they did not do so on single letter trials. Yet, with increasing age, children became more efficient in copying letter strings, in part by using vision more prospectively when writing. Taken together, the results illustrate how the coordination of perceptual, motor and cognitive processes contributes to advances in the development of letter writing skill. PMID:26029821

  16. Offline handwritten word recognition using MQDF-HMMs

    NASA Astrophysics Data System (ADS)

    Ramachandrula, Sitaram; Hambarde, Mangesh; Patial, Ajay; Sahoo, Dushyant; Kochar, Shaivi

    2015-01-01

    We propose an improved HMM formulation for offline handwriting recognition (HWR). The main contribution of this work is using modified quadratic discriminant function (MQDF) [1] within HMM framework. In an MQDF-HMM the state observation likelihood is calculated by a weighted combination of MQDF likelihoods of individual Gaussians of GMM (Gaussian Mixture Model). The quadratic discriminant function (QDF) of a multivariate Gaussian can be rewritten by avoiding the inverse of covariance matrix by using the Eigen values and Eigen vectors of it. The MQDF is derived from QDF by substituting few of badly estimated lower-most Eigen values by an appropriate constant. The estimation errors of non-dominant Eigen vectors and Eigen values of covariance matrix for which the training data is insufficient can be controlled by this approach. MQDF has been successfully shown to improve the character recognition performance [1]. The usage of MQDF in HMM improves the computation, storage and modeling power of HMM when there is limited training data. We have got encouraging results on offline handwritten character (NIST database) and word recognition in English using MQDF HMMs.

  17. A Cursive Handwriting Skills Program for LD Students To Be Used by Regular and LD Teachers.

    ERIC Educational Resources Information Center

    McMillan, Ida L.

    Many learning disabled students attending Avocado Elementary School in Homestead, Florida, were unable to write legibly when taught with available cursive handwriting programs. To redress the problem, a complete, sequential cursive handwriting program was devised for use with learning disabled and other students. The program combined tracing and…

  18. Relationships between Handwriting Performance and Organizational Abilities among Children with and without Dysgraphia: A Preliminary Study

    ERIC Educational Resources Information Center

    Rosenblum, Sara; Aloni, Tsipi; Josman, Naomi

    2010-01-01

    Organizational ability constitutes one executive function (EF) component essential for common everyday performance. The study aim was to explore the relationship between handwriting performance and organizational ability in school-aged children. Participants were 58 males, aged 7-8 years, 30 with dysgraphia and 28 with proficient handwriting.…

  19. Improvement of Handwriting Automaticity among Children Treated for Graphomotor Difficulties over a Period of Six Months

    ERIC Educational Resources Information Center

    Wicki, Werner; Hurschler Lichtsteiner, Sibylle

    2018-01-01

    Although fluency and automaticity of handwriting have been recognized as important research topics for 30 years, empirical data on respective developmental courses among typically developing children as well as clinical samples have remained very limited. To fill this gap, this study investigates the development of handwriting automaticity…

  20. Do motor ability and handwriting kinematic measures predict organizational ability among children with Developmental Coordination Disorders?

    PubMed

    Rosenblum, Sara

    2015-10-01

    Children with Developmental Coordination Disorders (DCD) exhibit deficient daily performance concealed in their perception-action mechanism. The aim of this study was to analyze behavior organization of children with DCD, in varied tasks that require generating and monitoring mental representations related to space and time inputs/requirements, for achieving better insight about their perception-action mechanism. Participants included 42 children aged 7-10, half of whom were defined with DCD and half were typically developing (TD). The children were matched for age, gender and school. They were evaluated using the Movement-ABC and performed three handwriting tasks on an electronic tablet that is part of a computerized system (ComPET - Computerized Penmanship Evaluation Tool). In addition, their teachers completed the Questionnaire for Assessing Students' Organizational Abilities-Teachers (QASOA-T) to assess the children's daily organizational ability. Significant group differences (DCD versus controls) were found for all handwriting kinematic measures across the three handwriting tasks and for the children's organizational abilities. Motor ability predicted a considerable percentage of the variance of the kinematic handwriting measures (30-37%), as well as a high percentage of the variance of their organizational abilities (67%). The coefficient of variance of the pen tilt added an additional 3% to the prediction of their organizational abilities. The results of this study exhibited deficient ability among children with DCD in organizing their behavior in varied real-world tasks requiring generation and monitoring representation related to space and time. The significance of the results to understanding the performance mechanism and implication to the clinical field are discussed. Copyright © 2015 Elsevier B.V. All rights reserved.

  1. The effect of computer-assisted therapeutic practice for children with handwriting deficit: a comparison with the effect of the traditional sensorimotor approach.

    PubMed

    Chang, Shao-Hsia; Yu, Nan-Ying

    2014-07-01

    The objective of this study was to compare the effect of computer-assisted practice with the sensorimotor approach on the remediation of handwriting problems in children with dysgraphia. In a randomized controlled trial, experiments were conducted to verify the intervention effect. Forty two children with handwriting deficit were assigned to computer-assisted instruction, sensorimotor training, or a control group. Handwriting performance was measured using the elementary reading/writing test and computerized handwriting evaluation before and after 6 weeks of intervention. Repeated-measures ANOVA of changed scores were conducted to show whether statistically significant differences across the three groups were present. Significant differences in the elementary reading/writing test were found among the three groups. The computer group showed more significant improvements than the other two groups did. In the kinematic and kinetic analyses, the computer group showed promising results in the remediation of handwriting speed and fluency. This study provided clinical evidence for applying a computer-assisted handwriting program for children with dysgraphia. Clinicians and school teachers are provided with a systematic intervention for the improvement of handwriting difficulties. Copyright © 2014 Elsevier Ltd. All rights reserved.

  2. A Comprehensive Meta-Analysis of Handwriting Instruction

    ERIC Educational Resources Information Center

    Santangelo, Tanya; Graham, Steve

    2016-01-01

    While there are many ways to author text today, writing with paper and pen (or pencil) is still quite common at home and work, and predominates writing at school. Because handwriting can bias readers' judgments about the ideas in a text and impact other writing processes, like planning and text generation, it is important to ensure students…

  3. The Influence of Lying Body Position on Handwriting.

    PubMed

    Dziedzic, Tomasz

    2016-01-01

    Although the problem of handwriting variability due to lying body position has practical significance, particularly for last will cases, it has not been sufficiently studied. The presented experiment aimed to recognize how such posture may influence handwriting features. Samples of text and signatures were collected from 50 healthy individuals, aged 23-58, produced in three postures: typical sitting position (SP) and two different lying positions (LP1 & LP2). Using the SP sample of each individual as a specimen, eleven characteristics in LP1 and LP2 samples were evaluated as similar or different. Nine other features were measured with a specialized software, and their conformity was tested with Student's t-test. Although none of the characteristics differed significantly in most cases, variation occurred in pen pressure, margins, baselines, and heights of letters. Additionally, a series of blind tests revealed that lying position of the individuals did not hinder the possibility to identify their writings. © 2015 American Academy of Forensic Sciences.

  4. Characterization of Motor Control in Handwriting Difficulties in Children with or without Developmental Coordination Disorder

    ERIC Educational Resources Information Center

    Chang, Shao-Hsia; Yu, Nan-Ying

    2010-01-01

    Aim: The purpose of this study was to characterize handwriting deficits in children with developmental coordination disorder (DCD) using computerized movement analyses. Method: Seventy-two children (40 females, 32 males; mean age 7y, SD 7mo; range 6y 2mo to 7y 11mo) with handwriting deficits (33 with DCD, 39 without DCD); and 22 age- and…

  5. Numbers can move our hands: a spatial representation effect in digits handwriting.

    PubMed

    Perrone, Gelsomina; de Hevia, Maria Dolores; Bricolo, Emanuela; Girelli, Luisa

    2010-09-01

    The interaction between numbers and action-related processes is currently one of the most investigated topics in numerical cognition. The present study contributes to this line of research by investigating, for the first time, the effects of number on an overlearned complex motor plan that does not require explicit lateralised movements or strict spatial constrains: spontaneous handwriting. In particular, we investigated whether the spatial mapping of numbers interferes with the motor planning involved in writing. To this aim, participants' spontaneous handwriting of single digits (Exp. 1) and letters (Exp. 2) was recorded with a digitising tablet. We show that the writing of numbers is characterised by a spatial dislocation of the digits as a function of their magnitude, i.e., small numbers were written leftwards relative to large numbers. In contrast, the writing of letters showed a null or marginal effect with respect to their dislocation on the writing area. These findings show that the automatic mapping of numbers into space interacts with action planning by modulating specific motor parameters in spontaneous handwriting.

  6. Analysis Of The IJCNN 2011 UTL Challenge

    DTIC Science & Technology

    2012-01-13

    large datasets from various application domains: handwriting recognition, image recognition, video processing, text processing, and ecology. The goal...validation and final evaluation sets consist of 4096 examples each. Dataset Domain Features Sparsity Devel. Transf. AVICENNA Handwriting 120 0% 150205...documents [3]. Transfer learning methods could accelerate the application of handwriting recognizers to historical manuscript by reducing the need for

  7. Practical automatic Arabic license plate recognition system

    NASA Astrophysics Data System (ADS)

    Mohammad, Khader; Agaian, Sos; Saleh, Hani

    2011-02-01

    Since 1970's, the need of an automatic license plate recognition system, sometimes referred as Automatic License Plate Recognition system, has been increasing. A license plate recognition system is an automatic system that is able to recognize a license plate number, extracted from image sensors. In specific, Automatic License Plate Recognition systems are being used in conjunction with various transportation systems in application areas such as law enforcement (e.g. speed limit enforcement) and commercial usages such as parking enforcement and automatic toll payment private and public entrances, border control, theft and vandalism control. Vehicle license plate recognition has been intensively studied in many countries. Due to the different types of license plates being used, the requirement of an automatic license plate recognition system is different for each country. [License plate detection using cluster run length smoothing algorithm ].Generally, an automatic license plate localization and recognition system is made up of three modules; license plate localization, character segmentation and optical character recognition modules. This paper presents an Arabic license plate recognition system that is insensitive to character size, font, shape and orientation with extremely high accuracy rate. The proposed system is based on a combination of enhancement, license plate localization, morphological processing, and feature vector extraction using the Haar transform. The performance of the system is fast due to classification of alphabet and numerals based on the license plate organization. Experimental results for license plates of two different Arab countries show an average of 99 % successful license plate localization and recognition in a total of more than 20 different images captured from a complex outdoor environment. The results run times takes less time compared to conventional and many states of art methods.

  8. Handwriting training in Parkinson's disease: A trade-off between size, speed and fluency.

    PubMed

    Nackaerts, Evelien; Broeder, Sanne; Pereira, Marcelo P; Swinnen, Stephan P; Vandenberghe, Wim; Nieuwboer, Alice; Heremans, Elke

    2017-01-01

    In previous work, we found that intensive amplitude training successfully improved micrographia in Parkinson's disease (PD). Handwriting abnormalities in PD also express themselves in stroke duration and writing fluency. It is currently unknown whether training changes these dysgraphic features. To determine the differential effects of amplitude training on various hallmarks of handwriting abnormalities in PD. We randomized 38 right-handed subjects in early to mid-stage of PD into an experimental group (n = 18), receiving training focused at improving writing size during 30 minutes/day, five days/week for six weeks, and a placebo group (n = 20), receiving stretch and relaxation exercises at equal intensity. Writing skills were assessed using a touch-sensitive tablet pre- and post-training, and after a six-week retention period. Tests encompassed a transfer task, evaluating trained and untrained sequences, and an automatization task, comparing single- and dual-task handwriting. Outcome parameters were stroke duration (s), writing velocity (cm/s) and normalized jerk (i.e. fluency). In contrast to the reported positive effects of training on writing size, the current results showed increases in stroke duration and normalized jerk after amplitude training, which were absent in the placebo group. These increases remained after the six-week retention period. In contrast, velocity remained unchanged throughout the study. While intensive amplitude training is beneficial to improve writing size in PD, it comes at a cost as fluency and stroke duration deteriorated after training. The findings imply that PD patients can redistribute movement priorities after training within a compromised motor system.

  9. Does handwriting on a tablet screen affect students' graphomotor execution? A comparison between Grades Two and Nine.

    PubMed

    Alamargot, Denis; Morin, Marie-France

    2015-12-01

    We sought to ascertain how handwriting with a plastic-tipped pen on the screen of a digital tablet affects graphomotor execution in students, compared with handwriting on paper with a ballpoint pen. We predicted that the modification to propriokinesthetic feedback induced by the screen/plastic tip combination would differently disturb younger and older students, who rely on perceptual feedback either to form letters (former) or to adjust movement execution (latter). Twenty-eight students from Grades Two and Nine were asked to handwrite the alphabet and their names and surnames under the two conditions. Kinematics were recorded using the tablet, controlled by Eye and Pen software. Results showed that handwriting on the tablet surface with a plastic-tipped pen primarily affected pen pauses in the second graders and pen movements in the ninth graders, suggesting a disturbance in segment trajectory calculation in the younger participants and reduced control of muscular adjustment in the older children. Copyright © 2015 Elsevier B.V. All rights reserved.

  10. Historical Analyses of Disordered Handwriting: Perspectives on Early 20th-Century Material From a German Psychiatric Hospital.

    PubMed

    Schiegg, Markus; Thorpe, Deborah

    2017-01-01

    Handwritten texts carry significant information, extending beyond the meaning of their words. Modern neurology, for example, benefits from the interpretation of the graphic features of writing and drawing for the diagnosis and monitoring of diseases and disorders. This article examines how handwriting analysis can be used, and has been used historically, as a methodological tool for the assessment of medical conditions and how this enhances our understanding of historical contexts of writing. We analyze handwritten material, writing tests and letters, from patients in an early 20th-century psychiatric hospital in southern Germany (Irsee/Kaufbeuren). In this institution, early psychiatrists assessed handwriting features, providing us novel insights into the earliest practices of psychiatric handwriting analysis, which can be connected to Berkenkotter's research on medical admission records. We finally consider the degree to which historical handwriting bears semiotic potential to explain the psychological state and personality of a writer, and how future research in written communication should approach these sources.

  11. Strategies for Teaching Handwriting to the Learning Disabled.

    ERIC Educational Resources Information Center

    Dice-Ziegler, Barbara

    The article outlines six strategies for teaching handwriting to learning disabled elementary students with differing instructional needs. A rationale for the use of each strategy is followed by a step-by-step description of the teaching procedure. Strategy goals include the following: (1) teaching the manuscript alphabet through letter pictures to…

  12. Development of early handwriting: Visual-motor control during letter copying.

    PubMed

    Maldarelli, Jennifer E; Kahrs, Björn A; Hunt, Sarah C; Lockman, Jeffrey J

    2015-07-01

    Despite the importance of handwriting for school readiness and early academic progress, prior research on the development of handwriting has focused primarily on the product rather than the process by which young children write letters. In contrast, in the present work, early handwriting is viewed as involving a suite of perceptual, motor, and cognitive abilities, which must work in unison if children are to write letters efficiently. To study such coordination, head-mounted eye-tracking technology was used to investigate the process of visual-motor coordination while kindergarten children (N = 23) and adults (N = 11) copied individual letters and strings of letters that differed in terms of their phonemic properties. Results indicated that kindergarten children were able to copy single letters efficiently, as did adults. When the cognitive demands of the task increased and children were presented with strings of letters, however, their ability to copy letters efficiently was compromised: Children frequently interrupted their writing midletter, whereas they did not do so on single letter trials. Yet, with increasing age, children became more efficient in copying letter strings, in part by using vision more prospectively when writing. Taken together, the results illustrate how the coordination of perceptual, motor, and cognitive processes contributes to advances in the development of letter writing skill. (c) 2015 APA, all rights reserved).

  13. Effect of pencil grasp on the speed and legibility of handwriting after a 10-minute copy task in Grade 4 children.

    PubMed

    Schwellnus, Heidi; Carnahan, Heather; Kushki, Azadeh; Polatajko, Helene; Missiuna, Cheryl; Chau, Tom

    2012-06-01

    To investigate the impact of common pencil grasp patterns on the speed and legibility of handwriting after a 10-minute copy task, intended to induce muscle fatigue, in typically developing children and in those non-proficient in handwriting. A total of 120 Grade 4 students completed a standardised handwriting assessment before and after a 10-minute copy task. The students indicated the perceived difficulty of the handwriting task at baseline and after 10 minutes. The students also completed a self-report questionnaire regarding their handwriting proficiency upon completion. The majority of the students rated higher effort after the 10-minute copy task than at baseline (rank sum: P = 0.00001). The effort ratings were similar for the different grasp patterns (multiple linear regression: F = 0.37, P = 0.895). For both typically developing children and those with handwriting issues, the legibility of the writing samples decreased after the 10-minute copy task but the speed of writing increased. CONCLUSIONS AND SIGNIFICANCE OF THE STUDY: The quality of the handwriting decreased after the 10-minute copy task; however, there was no difference in the quality or speed scores among the different pencil grasps before and after the copy task. The dynamic tripod pencil grasp did not offer any advantage over the lateral tripod or the dynamic or lateral quadrupod pencil grasps in terms of quality of handwriting after a 10-minute copy task. These four pencil grasp patterns performed equivalently. Our findings question the practice of having students adopt the dynamic tripod pencil grasp. © 2012 The Authors Australian Occupational Therapy Journal © 2012 Occupational Therapy Australia.

  14. Cognitive object recognition system (CORS)

    NASA Astrophysics Data System (ADS)

    Raju, Chaitanya; Varadarajan, Karthik Mahesh; Krishnamurthi, Niyant; Xu, Shuli; Biederman, Irving; Kelley, Troy

    2010-04-01

    We have developed a framework, Cognitive Object Recognition System (CORS), inspired by current neurocomputational models and psychophysical research in which multiple recognition algorithms (shape based geometric primitives, 'geons,' and non-geometric feature-based algorithms) are integrated to provide a comprehensive solution to object recognition and landmarking. Objects are defined as a combination of geons, corresponding to their simple parts, and the relations among the parts. However, those objects that are not easily decomposable into geons, such as bushes and trees, are recognized by CORS using "feature-based" algorithms. The unique interaction between these algorithms is a novel approach that combines the effectiveness of both algorithms and takes us closer to a generalized approach to object recognition. CORS allows recognition of objects through a larger range of poses using geometric primitives and performs well under heavy occlusion - about 35% of object surface is sufficient. Furthermore, geon composition of an object allows image understanding and reasoning even with novel objects. With reliable landmarking capability, the system improves vision-based robot navigation in GPS-denied environments. Feasibility of the CORS system was demonstrated with real stereo images captured from a Pioneer robot. The system can currently identify doors, door handles, staircases, trashcans and other relevant landmarks in the indoor environment.

  15. Integrative Lifecourse and Genetic Analysis of Military Working Dogs

    DTIC Science & Technology

    2012-10-01

    Recognition), ICR (Intelligent Character Recognition) and HWR ( Handwriting Recognition). A number of various software packages were evaluated and we have...the third-party software is able to recognize check-boxes and columns and do a reasonable job with handwriting – which is does. This workflow will

  16. Handwriting Movement Analyses for Monitoring Drug-Induced Motor Side Effects in Schizophrenia Patients Treated with Risperidone

    PubMed Central

    Caligiuri, Michael P.; Teulings, Hans-Leo; Dean, Charles E.; Niculescu, Alexander B.; Lohr, James

    2009-01-01

    Epidemiologic studies indicate that nearly 60% of schizophrenia (SZ) patients treated with conventional antipsychotic drugs develop extrapyramidal side effects (EPS) such as parkinsonism and tardive dyskinesia. Although the prevalence of EPS has decreased due to the newer antipsychotics, EPS continue to limit the effectiveness of these medicines. Ongoing monitoring of EPS is likely to improve treatment outcome or compliance and reduce the frequency of re-hospitalization. A quantitative analysis of handwriting kinematics was used to evaluate effects of antipsychotic medication type and dose in schizophrenia patients. Twenty-seven schizophrenia patients treated with risperidone, six schizophrenia patients who received no antipsychotic medication and 46 healthy comparison participants were enrolled. Participants performed a 20-minute handwriting task consisting of loops of various sizes and a sentence. Data were captured and analyzed using MovAlyzeR software. Results indicated that risperidone-treated participants exhibited significantly more dysfluent handwriting movements than either healthy or untreated SZ participants. Risperidone-treated participants exhibited lower movement velocities during production of simple loops compared to unmedicated patients. Handwriting dysfluency during sentence writing increased with dose. A 3-factor model consisting of kinematic variables derived from sentence writing accounted for 83% (r = .91) of the variability in medication dose. In contrast, we found no association between observer-based EPS severity ratings and medication dose. These findings support the importance of handwriting-based measures to monitor EPS in medicated schizophrenia patients. PMID:19692133

  17. Digital Paper Technologies for Topographical Applications

    DTIC Science & Technology

    2011-09-19

    measures examine were training time for each method, time for entry offeatures, procedural errors, handwriting recognition errors, and user preference...time for entry of features, procedural errors, handwriting recognition errors, and user preference. For these metrics, temporal association was...checkbox, text restricted to a specific list of values, etc.) that provides constraints to the handwriting recognizer. When the user fills out the form

  18. In Early Education, Why Teach Handwriting before Keyboarding?

    ERIC Educational Resources Information Center

    Stevenson, Nancy C.; Just, Carol

    2014-01-01

    Legible written communication is essential for students to share knowledge (Rogers and Case-Smith 2002). If students lack proficiency in written communication, their composition skills will suffer, which can affect their self-esteem and grades. Whether or not this proficiency is in handwriting or keyboarding is a question worthy of discussion. In…

  19. A long-term self-managed handwriting intervention for people with Parkinson's disease: results from the control group of a phase II randomized controlled trial.

    PubMed

    Collett, Johnny; Franssen, Marloes; Winward, Charlotte; Izadi, Hooshang; Meaney, Andy; Mahmoud, Wala; Bogdanovic, Marko; Tims, Martin; Wade, Derick; Dawes, Helen

    2017-12-01

    To report on the control group of a trial primarily designed to investigate exercise for improving mobility in people with Parkinson's disease (pwP). The control group undertook a handwriting intervention to control for attention and time spent practising a specific activity. Secondary analysis of a two-arm parallel phase II randomized controlled trial with blind assessment. Community. PwP able to walk ⩾100 m and with no contraindication to exercise were recruited from the Thames Valley, UK, and randomized (1:1) to exercise or handwriting, via a concealed computer-generated list. Handwriting was undertaken at home and exercise in community facilities; both were delivered through workbooks with monthly support visits and involved practice for 1 hour, twice weekly, over a period of six months. Handwriting was assessed, at baseline, 3, 6 and 12 months, using a pangram giving writing speed, amplitude (area) and progressive reduction in amplitude (ratio). The Movement Disorder Society (MDS)-Unified Parkinson's Disease Rating Scale (UPDRS) item 2.7 measured self-reported handwriting deficits. In all, 105 pwP were recruited (analysed: n  = 51 handwriting, n  = 54 exercise). A total of 40 pwP adhered to the handwriting programme, most completing ⩾1 session/week. Moderate effects were found for amplitude (total area: d = 0.32; 95% confidence interval (CI): -0.11 to 0.7; P = 0.13) in favour of handwriting over a period of12 months; effects for writing speed and ratio parameters were small ≤0.11. Self-reported handwriting difficulties also favoured handwriting (UPDRS 2.7: odds ratio (OR) = 0.55; 95% CI: 0.34 to 0.91; P = 0.02). No adverse effects were reported. PwP generally adhere to self-directed home handwriting which may provide benefit with minimal risk. Encouraging effects were found in writing amplitude and, moreover, perceived ability.

  20. Relationship between the quality of children's handwriting and the Beery Buktenica developmental test of visuomotor integration after one year of writing tuition.

    PubMed

    Duiser, Ivonne H F; van der Kamp, John; Ledebt, Annick; Savelsbergh, Geert J P

    2014-04-01

    We examined whether the three subtests of the Beery Buktenica developmental test of visuomotor integration predicted quality of handwriting across and within groups of boys and girls classified as proficient, at risk or non-proficient writers according to the Concise Assessment Scale for Children's Handwriting. The Beery Buktenica developmental test of visuomotor integration and the Concise Assessment Scale for Children's Handwriting tests were administered to 240 grade 2 children. Proficient writers scored better on the visuomotor integration subtest than non-proficient writers, while proficient and at risk writers scored better than non-proficient writers on the motor coordination subtest. No differences were found on the visual perception subtest. Girls were more often classified as proficient writers than boys, and they scored better on the motor coordination subtest. Across groups, regression indicated that gender and both the visuomotor integration subtest and the motor coordination subtest were significant predictors for the quality of handwriting (i.e., accounted for 17% of the variance). After one year of writing tuition, the visuomotor integration subtest (and to a lesser extent the motor coordination subtest) but not the visual perception subtest significant relates to quality of children's handwriting as measured with the Concise Assessment Scale for Children's Handwriting. However, the relatively little variance explained also points to other abilities and/or task constraints that underlie quality of handwriting. © 2013 Occupational Therapy Australia.

  1. The Use of Graphic Rules in Grade One to Help Identify Children at Risk of Handwriting Difficulties

    ERIC Educational Resources Information Center

    Khalid, Puspa Inayat; Yunus, Jasmy; Adnan, Robiah; Harun, Mokhtar; Sudirman, Rubita; Mahmood, Nasrul Humaimi

    2010-01-01

    Previous researches on elementary grade handwriting revealed that pupils employ certain strategy when writing or drawing. The relationship between this strategy and the use of graphic rules has been documented but very little research has been devoted to the connection between the use of graphic rules and handwriting proficiency. Thus, this study…

  2. Handwriting as a Tool for Learning in ELT

    ERIC Educational Resources Information Center

    Lund, Ragnhild Elisabeth

    2016-01-01

    This article discusses the role that handwriting can have when writing is used as a tool for learning in English language education. Nineteen Norwegian EFL teacher training students were interviewed in focus groups about their own practices and their thoughts about writing-to-learn activities. All the students said that they prefer to write by…

  3. Changes in Kinetics and Kinematics of Handwriting during a Prolonged Writing Task in Children with and without Dysgraphia

    ERIC Educational Resources Information Center

    Kushki, Azadeh; Schwellnus, Heidi; Ilyas, Faizah; Chau, Tom

    2011-01-01

    Handwriting difficulties or dysgraphia have a profound impact on children's psychosocial development, and yet, 10-30% of school-aged children are reported to experience difficulties mastering this skill. Several studies have examined the nature and biomechanical underpinnings of handwriting difficulties in children with and without dysgraphia.…

  4. Handwriting training in Parkinson’s disease: A trade-off between size, speed and fluency

    PubMed Central

    Broeder, Sanne; Pereira, Marcelo P.; Swinnen, Stephan P.; Vandenberghe, Wim; Nieuwboer, Alice; Heremans, Elke

    2017-01-01

    Background In previous work, we found that intensive amplitude training successfully improved micrographia in Parkinson’s disease (PD). Handwriting abnormalities in PD also express themselves in stroke duration and writing fluency. It is currently unknown whether training changes these dysgraphic features. Objective To determine the differential effects of amplitude training on various hallmarks of handwriting abnormalities in PD. Methods We randomized 38 right-handed subjects in early to mid-stage of PD into an experimental group (n = 18), receiving training focused at improving writing size during 30 minutes/day, five days/week for six weeks, and a placebo group (n = 20), receiving stretch and relaxation exercises at equal intensity. Writing skills were assessed using a touch-sensitive tablet pre- and post-training, and after a six-week retention period. Tests encompassed a transfer task, evaluating trained and untrained sequences, and an automatization task, comparing single- and dual-task handwriting. Outcome parameters were stroke duration (s), writing velocity (cm/s) and normalized jerk (i.e. fluency). Results In contrast to the reported positive effects of training on writing size, the current results showed increases in stroke duration and normalized jerk after amplitude training, which were absent in the placebo group. These increases remained after the six-week retention period. In contrast, velocity remained unchanged throughout the study. Conclusion While intensive amplitude training is beneficial to improve writing size in PD, it comes at a cost as fluency and stroke duration deteriorated after training. The findings imply that PD patients can redistribute movement priorities after training within a compromised motor system. PMID:29272301

  5. Developmental Test of Visual–Motor Integration (VMI): An Effective Outcome Measure for Handwriting Interventions for Kindergarten, First-Grade, and Second-Grade Students?

    PubMed Central

    Moskowitz, Beverly; Paoletti, Andrew; Brusilovskiy, Eugene; Zylstra, Sheryl Eckberg; Murray, Tammy

    2015-01-01

    We determined whether a widely used assessment of visual–motor skills, the Beery–Buktenica Developmental Test of Visual–Motor Integration (VMI), is appropriate for use as an outcome measure for handwriting interventions. A two-group pretest–posttest design was used with 207 kindergarten, first-grade, and second-grade students. Two well-established handwriting measures and the VMI were administered pre- and postintervention. The intervention group participated in the Size Matters Handwriting Program for 40 sessions, and the control group received standard instruction. Paired and independent-samples t tests were used to analyze group differences. The intervention group demonstrated significant improvements on the handwriting measures, with change scores having mostly large effect sizes. We found no significant difference in change scores on the VMI, t(202) = 1.19, p = .23. Results of this study suggest that the VMI may not detect changes in handwriting related to occupational therapy intervention. PMID:26114468

  6. Students' Choices between Typing and Handwriting in Examinations

    ERIC Educational Resources Information Center

    Mogey, Nora; Cowan, John; Paterson, Jessie; Purcell, Mike

    2012-01-01

    Keyboarding (typing) is a ubiquitous skill for most UK students, and most coursework essays must be word processed. However, few examinations, other than for students with disabilities, permit the use of a word processor. It is not known how students would respond given a free choice between handwriting and word processing in an essay examination.…

  7. The Handwriting Performance of Children with NF1

    ERIC Educational Resources Information Center

    Gilboa, Yafit; Josman, Naomi; Fattal-Valevski, Aviva; Toledano-Alhadef, Hagit; Rosenblum, Sara

    2010-01-01

    The objective of this study was to analyze the process and product of handwriting among children with Neurofibromatosis Type 1 (NF1) in comparison to those of Typically Developing (TD) children. Children with NF1 are at risk for some cognitive deficits, a wide range of deficits in perceptual skills and, motor and visual-motor integration skills…

  8. Examining Teachers' Trait, State and Cursive Handwriting Anxiety

    ERIC Educational Resources Information Center

    Karatas, Zeynep; Arslan, Derya; Karatas, Mustafa Erdal

    2014-01-01

    This study examines whether the trait and state anxiety and cursive handwriting anxiety of teachers differs according to assorted variables. The study group for this research project is composed of 381 teachers from the city of Burdur and the district centre of Bucak, Turkey. Of these participants, 44% were female and 56% were male. As for the…

  9. An audiovisual emotion recognition system

    NASA Astrophysics Data System (ADS)

    Han, Yi; Wang, Guoyin; Yang, Yong; He, Kun

    2007-12-01

    Human emotions could be expressed by many bio-symbols. Speech and facial expression are two of them. They are both regarded as emotional information which is playing an important role in human-computer interaction. Based on our previous studies on emotion recognition, an audiovisual emotion recognition system is developed and represented in this paper. The system is designed for real-time practice, and is guaranteed by some integrated modules. These modules include speech enhancement for eliminating noises, rapid face detection for locating face from background image, example based shape learning for facial feature alignment, and optical flow based tracking algorithm for facial feature tracking. It is known that irrelevant features and high dimensionality of the data can hurt the performance of classifier. Rough set-based feature selection is a good method for dimension reduction. So 13 speech features out of 37 ones and 10 facial features out of 33 ones are selected to represent emotional information, and 52 audiovisual features are selected due to the synchronization when speech and video fused together. The experiment results have demonstrated that this system performs well in real-time practice and has high recognition rate. Our results also show that the work in multimodules fused recognition will become the trend of emotion recognition in the future.

  10. Image quality assessment for video stream recognition systems

    NASA Astrophysics Data System (ADS)

    Chernov, Timofey S.; Razumnuy, Nikita P.; Kozharinov, Alexander S.; Nikolaev, Dmitry P.; Arlazarov, Vladimir V.

    2018-04-01

    Recognition and machine vision systems have long been widely used in many disciplines to automate various processes of life and industry. Input images of optical recognition systems can be subjected to a large number of different distortions, especially in uncontrolled or natural shooting conditions, which leads to unpredictable results of recognition systems, making it impossible to assess their reliability. For this reason, it is necessary to perform quality control of the input data of recognition systems, which is facilitated by modern progress in the field of image quality evaluation. In this paper, we investigate the approach to designing optical recognition systems with built-in input image quality estimation modules and feedback, for which the necessary definitions are introduced and a model for describing such systems is constructed. The efficiency of this approach is illustrated by the example of solving the problem of selecting the best frames for recognition in a video stream for a system with limited resources. Experimental results are presented for the system for identity documents recognition, showing a significant increase in the accuracy and speed of the system under simulated conditions of automatic camera focusing, leading to blurring of frames.

  11. Random-Profiles-Based 3D Face Recognition System

    PubMed Central

    Joongrock, Kim; Sunjin, Yu; Sangyoun, Lee

    2014-01-01

    In this paper, a noble nonintrusive three-dimensional (3D) face modeling system for random-profile-based 3D face recognition is presented. Although recent two-dimensional (2D) face recognition systems can achieve a reliable recognition rate under certain conditions, their performance is limited by internal and external changes, such as illumination and pose variation. To address these issues, 3D face recognition, which uses 3D face data, has recently received much attention. However, the performance of 3D face recognition highly depends on the precision of acquired 3D face data, while also requiring more computational power and storage capacity than 2D face recognition systems. In this paper, we present a developed nonintrusive 3D face modeling system composed of a stereo vision system and an invisible near-infrared line laser, which can be directly applied to profile-based 3D face recognition. We further propose a novel random-profile-based 3D face recognition method that is memory-efficient and pose-invariant. The experimental results demonstrate that the reconstructed 3D face data consists of more than 50 k 3D point clouds and a reliable recognition rate against pose variation. PMID:24691101

  12. Predictors of Handwriting in Children with Autism Spectrum Disorder

    ERIC Educational Resources Information Center

    Hellinckx, Tinneke; Roeyers, Herbert; Van Waelvelde, Hilde

    2013-01-01

    During writing, perceptual, motor, and cognitive processes interact. This study explored the predictive value of several factors on handwriting quality as well as on speed in children with Autism Spectrum Disorder (ASD). Our results showed that, in this population, age, gender, and visual-motor integration significantly predicted handwriting…

  13. User-centred design and experience prototyping: Design and implementation of pre-handwriting intervention to children with coordination difficulties/dyspraxia

    NASA Astrophysics Data System (ADS)

    Othman, Muhammad Fakri; Senan, Norhalina; Suparjoh, Suriawati; Keay-Bright, Wendy

    2017-10-01

    We have proposed a method to assist children with coordination difficulties or dyspraxia to improve their pre-handwriting skills. We have chosen an animation technique called `Rotoscopy', a method that normally been used in animation and film production and adapted it to Rotoscopy Pre-handwriting Interface (RPI) prototypes using the interactive whiteboard (IWB) as interaction device. The motivation of this research is to discover how efficient if Rotoscopy is used beyond its normal purposes; and how it gives benefits in terms of behavioural and motivational aspects rather than commercial and profit point of view. Implementation of RPI prototypes has taken place through series of workshops with a teacher and a group of children with handwriting difficulties at a special education school in Caerphilly, Cardiff, United Kingdom. In the workshops children were given pre-handwriting activities in two different environments. They have been trained to use RPI prototypes and IWB, as well as pen and paper tasks. Their activities and action have been observed and recorded using video camera. Evaluation method is based-on video analysis of children's pre-handwriting result and their reaction and motivation during the workshop. It was learnt that majority of children who used RPI prototypes and IWB have produced better results in terms of accuracy of the drawing as compared to results of pen and paper activities. Furthermore the children were more motivated to use the prototypes and IWB rather than using pen and paper. The study's contribution to knowledge includes offering a new way to improve children's pre-handwriting skills using computer animation technique and touch-based devices.

  14. Developmental Test of Visual-Motor Integration (VMI): An Effective Outcome Measure for Handwriting Interventions for Kindergarten, First-Grade, and Second-Grade Students?

    PubMed

    Pfeiffer, Beth; Moskowitz, Beverly; Paoletti, Andrew; Brusilovskiy, Eugene; Zylstra, Sheryl Eckberg; Murray, Tammy

    2015-01-01

    We determined whether a widely used assessment of visual-motor skills, the Beery-Buktenica Developmental Test of Visual-Motor Integration (VMI), is appropriate for use as an outcome measure for handwriting interventions. A two-group pretest-posttest design was used with 207 kindergarten, first-grade, and second-grade students. Two well-established handwriting measures and the VMI were administered pre- and postintervention. The intervention group participated in the Size Matters Handwriting Program for 40 sessions, and the control group received standard instruction. Paired and independent-samples t tests were used to analyze group differences. The intervention group demonstrated significant improvements on the handwriting measures, with change scores having mostly large effect sizes. We found no significant difference in change scores on the VMI, t(202)=1.19, p=.23. Results of this study suggest that the VMI may not detect changes in handwriting related to occupational therapy intervention. Copyright © 2015 by the American Occupational Therapy Association, Inc.

  15. Phonological effects in handwriting production: evidence from the implicit priming paradigm.

    PubMed

    Afonso, Olivia; Álvarez, Carlos J

    2011-11-01

    In the present article, we report 3 experiments using the odd-man-out variant of the implicit priming paradigm, aimed at determining the role played by phonological information during the handwriting process. Participants were asked to write a small set of words learned in response to prompts. Within each block, response words could share initial segments (constant homogeneous) or not (heterogeneous). Also, 2 variable homogeneous blocks were created by including a response word that did not share orthographic onset with the other response (odd-man-out). This odd-man-out could be phonologically related to the targets or not. Experiment 1 showed a preparation effect in the constant homogeneous condition, which disappeared (spoil effect) in the variable condition not phonologically related. However, no spoil effect was found when the odd-man-out shared the phonological initial segment with the targets. In Experiment 2, we obtained a spoil effect in the variable phonologically related condition, but it was significantly smaller than in the variable not phonologically related condition. The effects observed in Experiment 2 vanished in Experiment 3 under articulatory suppression, suggesting that they originated at a sublexical level. These findings suggest that phonological sublexical information is used during handwriting and provide evidence that the implicit priming paradigm (and the odd-man-out version of this) is a suitable tool for handwriting production research.

  16. Character Recognition Method by Time-Frequency Analyses Using Writing Pressure

    NASA Astrophysics Data System (ADS)

    Watanabe, Tatsuhito; Katsura, Seiichiro

    With the development of information and communication technology, personal verification becomes more and more important. In the future ubiquitous society, the development of terminals handling personal information requires the personal verification technology. The signature is one of the personal verification methods; however, the number of characters is limited in the case of the signature and therefore false signature is used easily. Thus, personal identification is difficult from handwriting. This paper proposes a “haptic pen” that extracts the writing pressure, and shows a character recognition method by time-frequency analyses. Although the figures of characters written by different amanuenses are similar, the differences appear in the time-frequency domain. As a result, it is possible to use the proposed character recognition for personal identification more exactly. The experimental results showed the viability of the proposed method.

  17. Handwriting Development in Grade 2 and Grade 3 Primary School Children with Normal, At Risk, or Dysgraphic Characteristics

    ERIC Educational Resources Information Center

    Overvelde, Anneloes; Hulstijn, Wouter

    2011-01-01

    The wide variation in prevalence of dysgraphic handwriting (5-33%) is of clinical importance, because poor handwriting has been identified as one of the most common reasons for referring school-age children to occupational therapy or physiotherapy, and is included as an criterion for the diagnosis of Developmental Coordination Disorder. This study…

  18. Handwriting and Gender: A Multi-Use Data Set

    ERIC Educational Resources Information Center

    Bradley, Sean

    2015-01-01

    Can individuals guess the gender of a writer based on a sample of his or her handwriting? We administer an electronic survey twice to the same individuals to find out. The resulting data set is interesting to students, rich enough to be amenable to a wide array of activities, and open to a variety of exploratory tacks for statistics students and…

  19. Signal-to-noise velocity peaks difference: a new method for evaluating the handwriting movement fluency in children with dysgraphia.

    PubMed

    Danna, Jérémy; Paz-Villagrán, Vietminh; Velay, Jean-Luc

    2013-12-01

    This study evaluated handwriting movement dysfluency related to dysgraphia. A new variable, the Signal-to-Noise velocity peaks difference (SNvpd), was proposed to describe abnormal velocity fluctuations in cursive handwriting. This variable was compared to two variables most frequently used variables for assessing handwriting fluency. This comparison was carried out for three different groups, children with dysgraphia, proficient children, and adults, all of whom wrote the same single word. The adults were taken as the reference. Results revealed that, of the three variables studied, the SNvpd proved most efficient in discriminating children with dysgraphia, and that furthermore, it had the significant advantage of facilitating the localization of dysfluency peaks within a word. Our results also showed that the movement dysfluency of children with dysgraphia was specific to certain letters. In light of these results, we discuss the methodological and theoretical relevance of this new variable to the analysis of handwriting movement with the aim of characterizing dysgraphia. Copyright © 2013 Elsevier Ltd. All rights reserved.

  20. Impairment of a parieto-premotor network specialized for handwriting in writer's cramp

    PubMed Central

    Najee-ullah, Muslimah 'Ali; Hallett, Mark

    2016-01-01

    Handwriting with the dominant hand is a highly skilled task singularly acquired in humans. This skill is the isolated deficit in patients with writer's cramp (WC), a form of dystonia with maladaptive plasticity, acquired through intensive and repetitive motor practice. When a skill is highly trained, a motor program is created in the brain to execute the same movement kinematics regardless of the effector used for the task. The task- and effector-specific symptoms in WC suggest that a problem particularly occurs in the brain when the writing motor program is carried out by the dominant hand. In the present MRI study involving 12 WC patients (with symptoms only affecting the right dominant hand during writing) and 15 age matched unaffected controls we showed that: (1) the writing program recruited the same network regardless of the effector used to write in both groups; (2) dominant handwriting recruited a segregated parieto-premotor network only in the control group; (3) local structural alteration of the premotor area, the motor component of this network, predicted functional connectivity deficits during dominant handwriting and symptom duration in the patient group. Dysfunctions and structural abnormalities of a segregated parieto-premotor network in WC patients suggest that network specialization in focal brain areas is crucial for well-learned motor skill. PMID:27466043

  1. The Introduction of Keyboarding to Children with Autism Spectrum Disorders with Handwriting Difficulties: A Help or a Hindrance?

    ERIC Educational Resources Information Center

    Ashburner, Jill; Ziviani, Jenny; Pennington, Ana

    2012-01-01

    This study explored the utility of using keyboarding as an alternative to handwriting for students with ASD who experience handwriting difficulties. Participants included 22 students with ASD (M age = 10.83 plus or minus 1.4 years) who had been using portable word processors in mainstream classrooms for at least 6 months to circumvent handwriting…

  2. Handwriting analysis indicates spontaneous dyskinesias in neuroleptic naïve adolescents at high risk for psychosis.

    PubMed

    Dean, Derek J; Teulings, Hans-Leo; Caligiuri, Michael; Mittal, Vijay A

    2013-11-21

    Growing evidence suggests that movement abnormalities are a core feature of psychosis. One marker of movement abnormality, dyskinesia, is a result of impaired neuromodulation of dopamine in fronto-striatal pathways. The traditional methods for identifying movement abnormalities include observer-based reports and force stability gauges. The drawbacks of these methods are long training times for raters, experimenter bias, large site differences in instrumental apparatus, and suboptimal reliability. Taking these drawbacks into account has guided the development of better standardized and more efficient procedures to examine movement abnormalities through handwriting analysis software and tablet. Individuals at risk for psychosis showed significantly more dysfluent pen movements (a proximal measure for dyskinesia) in a handwriting task. Handwriting kinematics offers a great advance over previous methods of assessing dyskinesia, which could clearly be beneficial for understanding the etiology of psychosis.

  3. Handwriting Analysis Indicates Spontaneous Dyskinesias in Neuroleptic Naïve Adolescents at High Risk for Psychosis

    PubMed Central

    Dean, Derek J.; Teulings, Hans-Leo; Caligiuri, Michael; Mittal, Vijay A.

    2013-01-01

    Growing evidence suggests that movement abnormalities are a core feature of psychosis. One marker of movement abnormality, dyskinesia, is a result of impaired neuromodulation of dopamine in fronto-striatal pathways. The traditional methods for identifying movement abnormalities include observer-based reports and force stability gauges. The drawbacks of these methods are long training times for raters, experimenter bias, large site differences in instrumental apparatus, and suboptimal reliability. Taking these drawbacks into account has guided the development of better standardized and more efficient procedures to examine movement abnormalities through handwriting analysis software and tablet. Individuals at risk for psychosis showed significantly more dysfluent pen movements (a proximal measure for dyskinesia) in a handwriting task. Handwriting kinematics offers a great advance over previous methods of assessing dyskinesia, which could clearly be beneficial for understanding the etiology of psychosis. PMID:24300590

  4. Design method of ARM based embedded iris recognition system

    NASA Astrophysics Data System (ADS)

    Wang, Yuanbo; He, Yuqing; Hou, Yushi; Liu, Ting

    2008-03-01

    With the advantages of non-invasiveness, uniqueness, stability and low false recognition rate, iris recognition has been successfully applied in many fields. Up to now, most of the iris recognition systems are based on PC. However, a PC is not portable and it needs more power. In this paper, we proposed an embedded iris recognition system based on ARM. Considering the requirements of iris image acquisition and recognition algorithm, we analyzed the design method of the iris image acquisition module, designed the ARM processing module and its peripherals, studied the Linux platform and the recognition algorithm based on this platform, finally actualized the design method of ARM-based iris imaging and recognition system. Experimental results show that the ARM platform we used is fast enough to run the iris recognition algorithm, and the data stream can flow smoothly between the camera and the ARM chip based on the embedded Linux system. It's an effective method of using ARM to actualize portable embedded iris recognition system.

  5. Benchmarking desktop and mobile handwriting across COTS devices: The e-BioSign biometric database

    PubMed Central

    Tolosana, Ruben; Vera-Rodriguez, Ruben; Fierrez, Julian; Morales, Aythami; Ortega-Garcia, Javier

    2017-01-01

    This paper describes the design, acquisition process and baseline evaluation of the new e-BioSign database, which includes dynamic signature and handwriting information. Data is acquired from 5 different COTS devices: three Wacom devices (STU-500, STU-530 and DTU-1031) specifically designed to capture dynamic signatures and handwriting, and two general purpose tablets (Samsung Galaxy Note 10.1 and Samsung ATIV 7). For the two Samsung tablets, data is collected using both pen stylus and also the finger in order to study the performance of signature verification in a mobile scenario. Data was collected in two sessions for 65 subjects, and includes dynamic information of the signature, the full name and alpha numeric sequences. Skilled forgeries were also performed for signatures and full names. We also report a benchmark evaluation based on e-BioSign for person verification under three different real scenarios: 1) intra-device, 2) inter-device, and 3) mixed writing-tool. We have experimented the proposed benchmark using the main existing approaches for signature verification: feature- and time functions-based. As a result, new insights into the problem of signature biometrics in sensor-interoperable scenarios have been obtained, namely: the importance of specific methods for dealing with device interoperability, and the necessity of a deeper analysis on signatures acquired using the finger as the writing tool. This e-BioSign public database allows the research community to: 1) further analyse and develop signature verification systems in realistic scenarios, and 2) investigate towards a better understanding of the nature of the human handwriting when captured using electronic COTS devices in realistic conditions. PMID:28475590

  6. Benchmarking desktop and mobile handwriting across COTS devices: The e-BioSign biometric database.

    PubMed

    Tolosana, Ruben; Vera-Rodriguez, Ruben; Fierrez, Julian; Morales, Aythami; Ortega-Garcia, Javier

    2017-01-01

    This paper describes the design, acquisition process and baseline evaluation of the new e-BioSign database, which includes dynamic signature and handwriting information. Data is acquired from 5 different COTS devices: three Wacom devices (STU-500, STU-530 and DTU-1031) specifically designed to capture dynamic signatures and handwriting, and two general purpose tablets (Samsung Galaxy Note 10.1 and Samsung ATIV 7). For the two Samsung tablets, data is collected using both pen stylus and also the finger in order to study the performance of signature verification in a mobile scenario. Data was collected in two sessions for 65 subjects, and includes dynamic information of the signature, the full name and alpha numeric sequences. Skilled forgeries were also performed for signatures and full names. We also report a benchmark evaluation based on e-BioSign for person verification under three different real scenarios: 1) intra-device, 2) inter-device, and 3) mixed writing-tool. We have experimented the proposed benchmark using the main existing approaches for signature verification: feature- and time functions-based. As a result, new insights into the problem of signature biometrics in sensor-interoperable scenarios have been obtained, namely: the importance of specific methods for dealing with device interoperability, and the necessity of a deeper analysis on signatures acquired using the finger as the writing tool. This e-BioSign public database allows the research community to: 1) further analyse and develop signature verification systems in realistic scenarios, and 2) investigate towards a better understanding of the nature of the human handwriting when captured using electronic COTS devices in realistic conditions.

  7. Handwriting, Visuomotor Integration, and Neurological Condition at School Age

    ERIC Educational Resources Information Center

    Van Hoorn, Jessika F.; Maathuis, Carel G. B.; Peters, Lieke H. J.; Hadders-Algra, Mijna

    2010-01-01

    Aim: The study investigated the relationships between handwriting, visuomotor integration, and neurological condition. We paid particular attention to the presence of minor neurological dysfunction (MND). Method : Participants were 200 children (131 males, 69 females; age range 8-13y) of whom 118 received mainstream education (mean age 10y 5mo, SD…

  8. Universal brain systems for recognizing word shapes and handwriting gestures during reading

    PubMed Central

    Nakamura, Kimihiro; Kuo, Wen-Jui; Pegado, Felipe; Cohen, Laurent; Tzeng, Ovid J. L.; Dehaene, Stanislas

    2012-01-01

    Do the neural circuits for reading vary across culture? Reading of visually complex writing systems such as Chinese has been proposed to rely on areas outside the classical left-hemisphere network for alphabetic reading. Here, however, we show that, once potential confounds in cross-cultural comparisons are controlled for by presenting handwritten stimuli to both Chinese and French readers, the underlying network for visual word recognition may be more universal than previously suspected. Using functional magnetic resonance imaging in a semantic task with words written in cursive font, we demonstrate that two universal circuits, a shape recognition system (reading by eye) and a gesture recognition system (reading by hand), are similarly activated and show identical patterns of activation and repetition priming in the two language groups. These activations cover most of the brain regions previously associated with culture-specific tuning. Our results point to an extended reading network that invariably comprises the occipitotemporal visual word-form system, which is sensitive to well-formed static letter strings, and a distinct left premotor region, Exner’s area, which is sensitive to the forward or backward direction with which cursive letters are dynamically presented. These findings suggest that cultural effects in reading merely modulate a fixed set of invariant macroscopic brain circuits, depending on surface features of orthographies. PMID:23184998

  9. Practical vision based degraded text recognition system

    NASA Astrophysics Data System (ADS)

    Mohammad, Khader; Agaian, Sos; Saleh, Hani

    2011-02-01

    Rapid growth and progress in the medical, industrial, security and technology fields means more and more consideration for the use of camera based optical character recognition (OCR) Applying OCR to scanned documents is quite mature, and there are many commercial and research products available on this topic. These products achieve acceptable recognition accuracy and reasonable processing times especially with trained software, and constrained text characteristics. Even though the application space for OCR is huge, it is quite challenging to design a single system that is capable of performing automatic OCR for text embedded in an image irrespective of the application. Challenges for OCR systems include; images are taken under natural real world conditions, Surface curvature, text orientation, font, size, lighting conditions, and noise. These and many other conditions make it extremely difficult to achieve reasonable character recognition. Performance for conventional OCR systems drops dramatically as the degradation level of the text image quality increases. In this paper, a new recognition method is proposed to recognize solid or dotted line degraded characters. The degraded text string is localized and segmented using a new algorithm. The new method was implemented and tested using a development framework system that is capable of performing OCR on camera captured images. The framework allows parameter tuning of the image-processing algorithm based on a training set of camera-captured text images. Novel methods were used for enhancement, text localization and the segmentation algorithm which enables building a custom system that is capable of performing automatic OCR which can be used for different applications. The developed framework system includes: new image enhancement, filtering, and segmentation techniques which enabled higher recognition accuracies, faster processing time, and lower energy consumption, compared with the best state of the art published

  10. Development of Chinese Handwriting Skills among Kindergarten Children: Copying of the Composition in Chinese Characters and Name Writing

    ERIC Educational Resources Information Center

    Tse, Linda F. L.; Siu, Andrew M. H.; Li-Tsang, Cecilia W. P.

    2017-01-01

    Although copying and name writing skills are regarded as the indicators of handwriting development in alphabetic writing systems, there is limited information on logographs such as Chinese. Chinese characters are not only simply a combination of strokes as letters in English, but also place a great demand on visuospatial ability to maintain good…

  11. Motor control of handwriting in the developing brain: A review.

    PubMed

    Palmis, Sarah; Danna, Jeremy; Velay, Jean-Luc; Longcamp, Marieke

    This review focuses on the acquisition of writing motor aspects in adults, and in 5-to 12-year-old children without learning disabilities. We first describe the behavioural aspects of adult writing and dominant models based on the notion of motor programs. We show that handwriting acquisition is characterized by the transition from reactive movements programmed stroke-by-stroke in younger children, to an automatic control of the whole trajectory when the motor programs are memorized at about 10 years old. Then, we describe the neural correlates of adult writing, and the changes that could occur with learning during childhood. The acquisition of a new skill is characterized by the involvement of a network more restricted in space and where neural specificity is increased in key regions. The cerebellum and the left dorsal premotor cortex are of fundamental importance in motor learning, and could be at the core of the acquisition of handwriting.

  12. Integrative Lifecourse and Genetic Analysis of Military Working Dogs

    DTIC Science & Technology

    2012-10-01

    Intelligent Character Recognition) and HWR ( Handwriting Recognition). A number of various software packages were evaluated and we have settled on a...third-party software is able to recognize check-boxes and columns and do a reasonable job with handwriting – which is does. This workflow will

  13. Impairment of a parieto-premotor network specialized for handwriting in writer's cramp.

    PubMed

    Gallea, Cecile; Horovitz, Silvina G; Najee-Ullah, Muslimah 'Ali; Hallett, Mark

    2016-12-01

    Handwriting with the dominant hand is a highly skilled task singularly acquired in humans. This skill is the isolated deficit in patients with writer's cramp (WC), a form of dystonia with maladaptive plasticity, acquired through intensive and repetitive motor practice. When a skill is highly trained, a motor program is created in the brain to execute the same movement kinematics regardless of the effector used for the task. The task- and effector-specific symptoms in WC suggest that a problem particularly occurs in the brain when the writing motor program is carried out by the dominant hand. In this MRI study involving 12 WC patients (with symptoms only affecting the right dominant hand during writing) and 15 age matched unaffected controls we showed that: (1) the writing program recruited the same network regardless of the effector used to write in both groups; (2) dominant handwriting recruited a segregated parieto-premotor network only in the control group; (3) local structural alteration of the premotor area, the motor component of this network, predicted functional connectivity deficits during dominant handwriting and symptom duration in the patient group. Dysfunctions and structural abnormalities of a segregated parieto-premotor network in WC patients suggest that network specialization in focal brain areas is crucial for well-learned motor skill. Hum Brain Mapp 37:4363-4375, 2016. © 2016 Wiley Periodicals, Inc. © 2016 Wiley Periodicals, Inc.

  14. Children with Dyslexia Are Slow Writers Because They Pause More Often and Not Because They Are Slow at Handwriting Execution

    ERIC Educational Resources Information Center

    Sumner, Emma; Connelly, Vincent; Barnett, Anna L.

    2013-01-01

    It is commonly assumed that children with dyslexia are slower at handwriting than other children. However, evidence of slow handwriting in children with dyslexia is very mixed. Thirty-one children with dyslexia, aged 9 years, were compared to both age-matched children and younger spelling-ability matched children. Participants completed an…

  15. The "handwriting brain": a meta-analysis of neuroimaging studies of motor versus orthographic processes.

    PubMed

    Planton, Samuel; Jucla, Mélanie; Roux, Franck-Emmanuel; Démonet, Jean-François

    2013-01-01

    Handwriting is a modality of language production whose cerebral substrates remain poorly known although the existence of specific regions is postulated. The description of brain damaged patients with agraphia and, more recently, several neuroimaging studies suggest the involvement of different brain regions. However, results vary with the methodological choices made and may not always discriminate between "writing-specific" and motor or linguistic processes shared with other abilities. We used the "Activation Likelihood Estimate" (ALE) meta-analytical method to identify the cerebral network of areas commonly activated during handwriting in 18 neuroimaging studies published in the literature. Included contrasts were also classified according to the control tasks used, whether non-specific motor/output-control or linguistic/input-control. These data were included in two secondary meta-analyses in order to reveal the functional role of the different areas of this network. An extensive, mainly left-hemisphere network of 12 cortical and sub-cortical areas was obtained; three of which were considered as primarily writing-specific (left superior frontal sulcus/middle frontal gyrus area, left intraparietal sulcus/superior parietal area, right cerebellum) while others related rather to non-specific motor (primary motor and sensorimotor cortex, supplementary motor area, thalamus and putamen) or linguistic processes (ventral premotor cortex, posterior/inferior temporal cortex). This meta-analysis provides a description of the cerebral network of handwriting as revealed by various types of neuroimaging experiments and confirms the crucial involvement of the left frontal and superior parietal regions. These findings provide new insights into cognitive processes involved in handwriting and their cerebral substrates. Copyright © 2013 Elsevier Ltd. All rights reserved.

  16. A combined approach for the attribution of handwriting: the case of Antonio Stradivari's manuscripts

    NASA Astrophysics Data System (ADS)

    Fichera, Giusj Valentina; Dondi, Piercarlo; Licchelli, Maurizio; Lombardi, Luca; Ridolfi, Stefano; Malagodi, Marco

    2016-11-01

    Numerous artefacts from Antonio Stradivari's workshop are currently preserved in the "Museo del Violino" (Museum of the Violin) in Cremona, Italy. A large number of them are paper models containing instructions and technical notes by the great violin maker. After his death, this collection has had several owners, while new annotations added to the original ones, sometimes imitating Stradivari's handwriting, caused problems of authenticity. The attribution of these relics is a complex task and, until now, only a small part of them has been examined by palaeographers. This paper introduces a multi-analytical approach able to facilitate the study of handwriting in manuscripts with the combined use of image processing and X-ray fluorescence spectroscopy: the former provides a fast and automatic screening of documents; the latter allows to analyse the chemical composition of inks. For our tests, 17 paper relics, dated between 1684 and 1729, were chosen. Palaeographic analysis was used as reference. The results obtained showed the validity of the combined approach proposed herein: the two techniques proved to be complementary and useful to clarify the attribution of different pieces of handwriting.

  17. Authorship Attribution of Short Messages Using Multimodal Features

    DTIC Science & Technology

    2011-03-01

    demodulation algorithm, but does say that it has to be able to handle two multipath 27 signals of equal power received at up to 16 µs apart. This...possible with appropriate normalization of the data. The fields of biometrics, image analysis, and handwriting analysis also use diverse feature sets...Methods of Combining Multiple Classifiers and Their Applications to Handwriting Recognition,” IEEE Transactions on Systems, Man, and Cybernetics

  18. Fingerprint recognition system by use of graph matching

    NASA Astrophysics Data System (ADS)

    Shen, Wei; Shen, Jun; Zheng, Huicheng

    2001-09-01

    Fingerprint recognition is an important subject in biometrics to identify or verify persons by physiological characteristics, and has found wide applications in different domains. In the present paper, we present a finger recognition system that combines singular points and structures. The principal steps of processing in our system are: preprocessing and ridge segmentation, singular point extraction and selection, graph representation, and finger recognition by graphs matching. Our fingerprint recognition system is implemented and tested for many fingerprint images and the experimental result are satisfactory. Different techniques are used in our system, such as fast calculation of orientation field, local fuzzy dynamical thresholding, algebraic analysis of connections and fingerprints representation and matching by graphs. Wed find that for fingerprint database that is not very large, the recognition rate is very high even without using a prior coarse category classification. This system works well for both one-to-few and one-to-many problems.

  19. Handwriting: Feature Correlation Analysis for Biometric Hashes

    NASA Astrophysics Data System (ADS)

    Vielhauer, Claus; Steinmetz, Ralf

    2004-12-01

    In the application domain of electronic commerce, biometric authentication can provide one possible solution for the key management problem. Besides server-based approaches, methods of deriving digital keys directly from biometric measures appear to be advantageous. In this paper, we analyze one of our recently published specific algorithms of this category based on behavioral biometrics of handwriting, the biometric hash. Our interest is to investigate to which degree each of the underlying feature parameters contributes to the overall intrapersonal stability and interpersonal value space. We will briefly discuss related work in feature evaluation and introduce a new methodology based on three components: the intrapersonal scatter (deviation), the interpersonal entropy, and the correlation between both measures. Evaluation of the technique is presented based on two data sets of different size. The method presented will allow determination of effects of parameterization of the biometric system, estimation of value space boundaries, and comparison with other feature selection approaches.

  20. The MITLL NIST LRE 2015 Language Recognition System

    DTIC Science & Technology

    2016-05-06

    The MITLL NIST LRE 2015 Language Recognition System Pedro Torres-Carrasquillo, Najim Dehak*, Elizabeth Godoy, Douglas Reynolds, Fred Richardson...most recent MIT Lincoln Laboratory language recognition system developed for the NIST 2015 Language Recognition Evaluation (LRE). The submission...Task The National Institute of Science and Technology ( NIST ) has conducted formal evaluations of language detection algorithms since 1994. In

  1. The MITLL NIST LRE 2015 Language Recognition system

    DTIC Science & Technology

    2016-02-05

    The MITLL NIST LRE 2015 Language Recognition System Pedro Torres-Carrasquillo, Najim Dehak*, Elizabeth Godoy, Douglas Reynolds, Fred Richardson...recent MIT Lincoln Laboratory language recognition system developed for the NIST 2015 Language Recognition Evaluation (LRE). The submission features a...National Institute of Science and Technology ( NIST ) has conducted formal evaluations of language detection algorithms since 1994. In previous

  2. A practical approach for writer-dependent symbol recognition using a writer-independent symbol recognizer.

    PubMed

    LaViola, Joseph J; Zeleznik, Robert C

    2007-11-01

    We present a practical technique for using a writer-independent recognition engine to improve the accuracy and speed while reducing the training requirements of a writer-dependent symbol recognizer. Our writer-dependent recognizer uses a set of binary classifiers based on the AdaBoost learning algorithm, one for each possible pairwise symbol comparison. Each classifier consists of a set of weak learners, one of which is based on a writer-independent handwriting recognizer. During online recognition, we also use the n-best list of the writer-independent recognizer to prune the set of possible symbols and thus reduce the number of required binary classifications. In this paper, we describe the geometric and statistical features used in our recognizer and our all-pairs classification algorithm. We also present the results of experiments that quantify the effect incorporating a writer-independent recognition engine into a writer-dependent recognizer has on accuracy, speed, and user training time.

  3. Neuroimaging correlates of handwriting quality as children learn to read and write

    PubMed Central

    Gimenez, Paul; Bugescu, Nicolle; Black, Jessica M.; Hancock, Roeland; Pugh, Kenneth; Nagamine, Masanori; Kutner, Emily; Mazaika, Paul; Hendren, Robert; McCandliss, Bruce D.; Hoeft, Fumiko

    2014-01-01

    Reading and writing are related but separable processes that are crucial skills to possess in modern society. The neurobiological basis of reading acquisition and development, which critically depends on phonological processing, and to a lesser degree, beginning writing as it relates to letter perception, are increasingly being understood. Yet direct relationships between writing and reading development, in particular, with phonological processing is not well understood. The main goal of the current preliminary study was to examine individual differences in neurofunctional and neuroanatomical patterns associated with handwriting in beginning writers/readers. In 46 5–6 year-old beginning readers/writers, ratings of handwriting quality, were rank-ordered from best to worst and correlated with brain activation patterns during a phonological task using functional MRI, and with regional gray matter volume from structural T1 MRI. Results showed that better handwriting was associated negatively with activation and positively with gray matter volume in an overlapping region of the pars triangularis of right inferior frontal gyrus. This region, in particular in the left hemisphere in adults and more bilaterally in young children, is known to be important for decoding, phonological processing, and subvocal rehearsal. We interpret the dissociation in the directionality of the association in functional activation and morphometric properties in the right inferior frontal gyrus in terms of neural efficiency, and suggest future studies that interrogate the relationship between the neural mechanisms underlying reading and writing development. PMID:24678293

  4. Project Ideals: Communication Skills, Part III: "Handwriting--Spelling" and "Composition."

    ERIC Educational Resources Information Center

    Ahrens, Maurice R.; Crews, Ruthellen

    This study does not provide evidence that the handwriting of students has a legibility quality which is adequate, but only that there has been little or no deterioration in a period of 47 years. With improvement in teaching methods there should have been considerable growth in legibility. The importance of improvement of the teaching of…

  5. The Effect of the Number of Syllables on Handwriting Production

    ERIC Educational Resources Information Center

    Lambert, Eric; Kandel, Sonia; Fayol, Michel; Esperet, Eric

    2008-01-01

    Four experiments examined whether motor programming in handwriting production can be modulated by the syllable structure of the word to be written. This study manipulated the number of syllables. The items, words and pseudo-words, had 2, 3 or 4 syllables. French adults copied them three times. We measured the latencies between the visual…

  6. Ponderings of an Occupational Therapy Administrator: Beyond Handwriting--Are We Ready?

    ERIC Educational Resources Information Center

    Polichino, Jean E.

    2016-01-01

    Handwriting has historically played a significant role in the services provided by occupational therapists and occupational therapy assistants working in schools. Reflecting on nearly three decades of school practice, an occupational therapy administrator considers how this niche developed and how it positions occupational therapy practitioners to…

  7. Handwriting Skills in Children with Spina Bifida: Assessment, Monitoring and Measurement.

    ERIC Educational Resources Information Center

    Hancock, Julie; Alston, Jean

    1986-01-01

    Case studies of three students with spina bifida (ages 8-11) illustrate an individualized six-week handwriting intervention program which stressed assessment, monitoring, and measurement of changes in writing performance. Appropriate changes in physical support (sitting position, writing surface, and choice of writing tool) are recommended. (JW)

  8. Permutation coding technique for image recognition systems.

    PubMed

    Kussul, Ernst M; Baidyk, Tatiana N; Wunsch, Donald C; Makeyev, Oleksandr; Martín, Anabel

    2006-11-01

    A feature extractor and neural classifier for image recognition systems are proposed. The proposed feature extractor is based on the concept of random local descriptors (RLDs). It is followed by the encoder that is based on the permutation coding technique that allows to take into account not only detected features but also the position of each feature on the image and to make the recognition process invariant to small displacements. The combination of RLDs and permutation coding permits us to obtain a sufficiently general description of the image to be recognized. The code generated by the encoder is used as an input data for the neural classifier. Different types of images were used to test the proposed image recognition system. It was tested in the handwritten digit recognition problem, the face recognition problem, and the microobject shape recognition problem. The results of testing are very promising. The error rate for the Modified National Institute of Standards and Technology (MNIST) database is 0.44% and for the Olivetti Research Laboratory (ORL) database it is 0.1%.

  9. Writing to dictation and handwriting performance among Chinese children with dyslexia: relationships with orthographic knowledge and perceptual-motor skills.

    PubMed

    Cheng-Lai, Alice; Li-Tsang, Cecilia W P; Chan, Alan H L; Lo, Amy G W

    2013-10-01

    The purpose of this study was to investigate the relationships between writing to dictation, handwriting, orthographic, and perceptual-motor skills among Chinese children with dyslexia. A cross-sectional design was used. A total of 45 third graders with dyslexia were assessed. Results of stepwise multiple regression models showed that Chinese character naming was the only predictor associated with word dictation (β=.32); handwriting speed was related to deficits in rapid automatic naming (β=-.36) and saccadic efficiency (β=-.29), and visual-motor integration predicted both of the number of characters exceeded grid (β=-.41) and variability of character size (β=-.38). The findings provided support to a multi-stage working memory model of writing for explaining the possible underlying mechanism of writing to dictation and handwriting difficulties. Copyright © 2013 Elsevier Ltd. All rights reserved.

  10. Handwriting in Early Childhood Education: Current Research and Future Implications

    ERIC Educational Resources Information Center

    Dinehart, Laura H.

    2015-01-01

    Early fine motor writing skills are quickly becoming recognized as an important school readiness skill associated with later academic success (Dinehart and Manfra, 2013; Grissmer et al., 2010; Son and Meisels, 2006). Yet, little is known about the development of handwriting, the extent to which it is of value in the early childhood classroom and…

  11. Catalog of Instructional Materials in Spelling and Handwriting, 1983-1985.

    ERIC Educational Resources Information Center

    California State Dept. of Education, Sacramento.

    Listed in this catalog of instructional materials in spelling and handwriting are those materials adopted by the California State Board of Education for use in public schools from 1983 to 1985. Programs listed include those published by W. S. Benson; Bowmar/Noble; Globe Book; Harper and Row; D. C. Heath; Laidlaw Brothers; McGraw-Hill; A. N.…

  12. Development of a sonar-based object recognition system

    NASA Astrophysics Data System (ADS)

    Ecemis, Mustafa Ihsan

    2001-02-01

    Sonars are used extensively in mobile robotics for obstacle detection, ranging and avoidance. However, these range-finding applications do not exploit the full range of information carried in sonar echoes. In addition, mobile robots need robust object recognition systems. Therefore, a simple and robust object recognition system using ultrasonic sensors may have a wide range of applications in robotics. This dissertation develops and analyzes an object recognition system that uses ultrasonic sensors of the type commonly found on mobile robots. Three principal experiments are used to test the sonar recognition system: object recognition at various distances, object recognition during unconstrained motion, and softness discrimination. The hardware setup, consisting of an inexpensive Polaroid sonar and a data acquisition board, is described first. The software for ultrasound signal generation, echo detection, data collection, and data processing is then presented. Next, the dissertation describes two methods to extract information from the echoes, one in the frequency domain and the other in the time domain. The system uses the fuzzy ARTMAP neural network to recognize objects on the basis of the information content of their echoes. In order to demonstrate that the performance of the system does not depend on the specific classification method being used, the K- Nearest Neighbors (KNN) Algorithm is also implemented. KNN yields a test accuracy similar to fuzzy ARTMAP in all experiments. Finally, the dissertation describes a method for extracting features from the envelope function in order to reduce the dimension of the input vector used by the classifiers. Decreasing the size of the input vectors reduces the memory requirements of the system and makes it run faster. It is shown that this method does not affect the performance of the system dramatically and is more appropriate for some tasks. The results of these experiments demonstrate that sonar can be used to develop

  13. The Attitudes of Primary School Pre-Service Teachers towards Cursive Handwriting

    ERIC Educational Resources Information Center

    Karadag, Ruhan

    2014-01-01

    The aim of this study is to determine the primary school pre-service teachers' attitude toward cursive handwriting and to determine whether a significant difference exists among those pre-service teachers' attitude with respect to gender, class and their universities. In order to collect data "Scale for Attitude towards Cursive…

  14. Survey of Handwriting Habit Areas Used by Forensic Document Examiners: Degree of Use and Discriminatory Power

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Hanlen, Richard C.; Manzolillo, Patricia A.; Muehlberger, Robert J.

    In April 1998, a survey was distributed to Forensic Document Examiners (FDEs) requesting an evaluation of the habit areas used and their utility in distinguishing handwriting. The information obtained from this survey was intended to provide the data necessary to select a preliminary set of characteristics for analysis. It is important to use these relative rankings as an indication of general tendency and possible discriminatory dominance as compared to an absolute ranking of discriminatory dominance over the other habit areas. The particular circumstances surrounding the examination of handwriting can dictate a far different ordering of habit areas.

  15. Repetitive Transcranial Magnetic Stimulation Improves Handwriting in Parkinson's Disease

    PubMed Central

    Randhawa, Bubblepreet K.; Farley, Becky G.; Boyd, Lara A.

    2013-01-01

    Background. Parkinson disease (PD) is characterized by hypometric movements resulting from loss of dopaminergic neurons in the substantia nigra. PD leads to decreased activation of the supplementary motor area (SMA); the net result of these changes is a poverty of movement. The present study determined the impact of 5 Hz repetitive transcranial magnetic stimulation (rTMS) over the SMA on a fine motor movement, handwriting (writing cursive “l”s), and on cortical excitability, in individuals with PD. Methods. In a cross-over design, ten individuals with PD were randomized to receive either 5 Hz or control stimulation over the SMA. Immediately following brain stimulation right handed writing was assessed. Results. 5 Hz stimulation increased vertical size of handwriting and diminished axial pressure. In addition, 5 Hz rTMS significantly decreased the threshold for excitability in the primary motor cortex. Conclusions. These data suggest that in the short term 5 Hz rTMS benefits functional fine motor task performance, perhaps by altering cortical excitability across a network of brain regions. Further, these data may provide the foundation for a larger investigation of the effects of noninvasive brain stimulation over the SMA in individuals with PD. PMID:23841021

  16. License Plate Recognition System for Indian Vehicles

    NASA Astrophysics Data System (ADS)

    Sanap, P. R.; Narote, S. P.

    2010-11-01

    We consider the task of recognition of Indian vehicle number plates (also called license plates or registration plates in other countries). A system for Indian number plate recognition must cope with wide variations in the appearance of the plates. Each state uses its own range of designs with font variations between the designs. Also, vehicle owners may place the plates inside glass covered frames or use plates made of nonstandard materials. These issues compound the complexity of automatic number plate recognition, making existing approaches inadequate. We have developed a system that incorporates a novel combination of image processing and artificial neural network technologies to successfully locate and read Indian vehicle number plates in digital images. Commercial application of the system is envisaged.

  17. Standardized Tests of Handwriting Readiness: A Systematic Review of the Literature

    ERIC Educational Resources Information Center

    van Hartingsveldt, Margo J.; de Groot, Imelda J. M.; Aarts, Pauline B. M.; Nijhuis-van der Sanden, Maria W. G.

    2011-01-01

    Aim: To establish if there are psychometrically sound standardized tests or test items to assess handwriting readiness in 5- and 6-year-old children on the levels of occupations activities/tasks and performance. Method: Electronic databases were searched to identify measurement instruments. Tests were included in a systematic review if: (1)…

  18. Handwriting Development in Spanish Children With and Without Learning Disabilities: A Graphonomic Approach.

    PubMed

    Barrientos, Pablo

    The central purpose of this study was to analyze the dynamics of handwriting movements in real time for Spanish students in early grades with and without learning disabilities. The sample consisted of 120 children from Grades 1 through 3 (primary education), classified into two groups: with learning disabilities and without learning disabilities. The Early Grade Writing Assessment tasks selected for this purpose were writing the alphabet in order from memory, alphabet copying in cursive and manuscript, and allograph selection. The dynamics of these four handwriting tasks were recorded using graphonomic tablets (type Wacom Intuos-4), Intuos Inking pens, and Eye and Pen 2 software. Several events were recorded across four different tasks: velocity, pressure, time invested in pauses, and automaticity. The results demonstrated significant graphonomic variations between groups across grades, depending on the type of task.

  19. Structural model constructing for optical handwritten character recognition

    NASA Astrophysics Data System (ADS)

    Khaustov, P. A.; Spitsyn, V. G.; Maksimova, E. I.

    2017-02-01

    The article is devoted to the development of the algorithms for optical handwritten character recognition based on the structural models constructing. The main advantage of these algorithms is the low requirement regarding the number of reference images. The one-pass approach to a thinning of the binary character representation has been proposed. This approach is based on the joint use of Zhang-Suen and Wu-Tsai algorithms. The effectiveness of the proposed approach is confirmed by the results of the experiments. The article includes the detailed description of the structural model constructing algorithm’s steps. The proposed algorithm has been implemented in character processing application and has been approved on MNIST handwriting characters database. Algorithms that could be used in case of limited reference images number were used for the comparison.

  20. Phonological Effects in Handwriting Production : Evidence from the Implicit Priming Paradigm

    ERIC Educational Resources Information Center

    Afonso, Olivia; Alvarez, Carlos J.

    2011-01-01

    In the present article, we report 3 experiments using the odd-man-out variant of the implicit priming paradigm, aimed at determining the role played by phonological information during the handwriting process. Participants were asked to write a small set of words learned in response to prompts. Within each block, response words could share initial…

  1. Learning through hand- or typewriting influences visual recognition of new graphic shapes: behavioral and functional imaging evidence.

    PubMed

    Longcamp, Marieke; Boucard, Céline; Gilhodes, Jean-Claude; Anton, Jean-Luc; Roth, Muriel; Nazarian, Bruno; Velay, Jean-Luc

    2008-05-01

    Fast and accurate visual recognition of single characters is crucial for efficient reading. We explored the possible contribution of writing memory to character recognition processes. We evaluated the ability of adults to discriminate new characters from their mirror images after being taught how to produce the characters either by traditional pen-and-paper writing or with a computer keyboard. After training, we found stronger and longer lasting (several weeks) facilitation in recognizing the orientation of characters that had been written by hand compared to those typed. Functional magnetic resonance imaging recordings indicated that the response mode during learning is associated with distinct pathways during recognition of graphic shapes. Greater activity related to handwriting learning and normal letter identification was observed in several brain regions known to be involved in the execution, imagery, and observation of actions, in particular, the left Broca's area and bilateral inferior parietal lobules. Taken together, these results provide strong arguments in favor of the view that the specific movements memorized when learning how to write participate in the visual recognition of graphic shapes and letters.

  2. Hierarchical Recognition Scheme for Human Facial Expression Recognition Systems

    PubMed Central

    Siddiqi, Muhammad Hameed; Lee, Sungyoung; Lee, Young-Koo; Khan, Adil Mehmood; Truc, Phan Tran Ho

    2013-01-01

    Over the last decade, human facial expressions recognition (FER) has emerged as an important research area. Several factors make FER a challenging research problem. These include varying light conditions in training and test images; need for automatic and accurate face detection before feature extraction; and high similarity among different expressions that makes it difficult to distinguish these expressions with a high accuracy. This work implements a hierarchical linear discriminant analysis-based facial expressions recognition (HL-FER) system to tackle these problems. Unlike the previous systems, the HL-FER uses a pre-processing step to eliminate light effects, incorporates a new automatic face detection scheme, employs methods to extract both global and local features, and utilizes a HL-FER to overcome the problem of high similarity among different expressions. Unlike most of the previous works that were evaluated using a single dataset, the performance of the HL-FER is assessed using three publicly available datasets under three different experimental settings: n-fold cross validation based on subjects for each dataset separately; n-fold cross validation rule based on datasets; and, finally, a last set of experiments to assess the effectiveness of each module of the HL-FER separately. Weighted average recognition accuracy of 98.7% across three different datasets, using three classifiers, indicates the success of employing the HL-FER for human FER. PMID:24316568

  3. Both Handwriting Speed and Selective Attention Are Important to Lecture Note-Taking

    ERIC Educational Resources Information Center

    Peverly, Stephen T.; Garner, Joanna K.; Vekaria, Pooja C.

    2014-01-01

    The primary purpose of this investigation was to evaluate the relationship of handwriting speed, fine motor fluency, speed of verbal access, language comprehension, working memory, and attention (executive control; selective) to note-taking and all of the aforementioned variables to test performance (written recall). A second purpose was to…

  4. Analysis of cursive letters, syllables, and words handwriting in a French second-grade child with Developmental Coordination Disorder and comparison with typically developing children.

    PubMed

    Jolly, Caroline; Gentaz, Edouard

    2013-01-01

    Poor handwriting is a core deficit in Developmental Coordination Disorder (DCD). In a previous study, we compared the evolution of cursive letters handwriting in a girl with DCD throughout her second-grade year with that of typically developing (TD) children. We found that her handwriting evolved much less than that of TD children and remained similar to that of pre-schoolers at all stages, suggesting that her handwriting skills have reached a steady state level. We present here a continuation of this work, in which we focused on the velocity aspects of handwriting in another French child with DCD. Indeed, different velocity patterns have been observed in Chinese and English children with DCD. In the French cursive style of writing, consecutive letters are joined, a major difference with the English script style of writing. We thus analyzed the handwriting of a second-grade French girl with DCD, not only for isolated letters but also for syllables and words, in comparison to that of TD first-graders (6-7 years old; N = 85) and second-graders (7-8 years old; N = 88). Each written track was digitized, and nine kinematic parameters were measured to evaluate writing fluency. Results showed that the productions of the child with DCD were more similar to those of first-graders than to those of second-graders. In line with our previous study, the most discriminative parameters between the child with DCD and TD children were size and mean speed. Moreover, her handwriting was less fluent than that of TD children. In contrast to previous observations, we observed a higher writing velocity of the child with DCD when compared to TD children, whatever the complexity of the item, and no significant difference with TD children in the pausing time during writing. These differences may reflect linguistic specificities. For syllables and words, each letter was treated separately as a single unit, thus reflecting a problem in anticipation and automation.

  5. Analysis of cursive letters, syllables, and words handwriting in a French second-grade child with Developmental Coordination Disorder and comparison with typically developing children

    PubMed Central

    Jolly, Caroline; Gentaz, Edouard

    2014-01-01

    Poor handwriting is a core deficit in Developmental Coordination Disorder (DCD). In a previous study, we compared the evolution of cursive letters handwriting in a girl with DCD throughout her second-grade year with that of typically developing (TD) children. We found that her handwriting evolved much less than that of TD children and remained similar to that of pre-schoolers at all stages, suggesting that her handwriting skills have reached a steady state level. We present here a continuation of this work, in which we focused on the velocity aspects of handwriting in another French child with DCD. Indeed, different velocity patterns have been observed in Chinese and English children with DCD. In the French cursive style of writing, consecutive letters are joined, a major difference with the English script style of writing. We thus analyzed the handwriting of a second-grade French girl with DCD, not only for isolated letters but also for syllables and words, in comparison to that of TD first-graders (6–7 years old; N = 85) and second-graders (7–8 years old; N = 88). Each written track was digitized, and nine kinematic parameters were measured to evaluate writing fluency. Results showed that the productions of the child with DCD were more similar to those of first-graders than to those of second-graders. In line with our previous study, the most discriminative parameters between the child with DCD and TD children were size and mean speed. Moreover, her handwriting was less fluent than that of TD children. In contrast to previous observations, we observed a higher writing velocity of the child with DCD when compared to TD children, whatever the complexity of the item, and no significant difference with TD children in the pausing time during writing. These differences may reflect linguistic specificities. For syllables and words, each letter was treated separately as a single unit, thus reflecting a problem in anticipation and automation. PMID:24478735

  6. Handwriting Implementation Project Study (HIPS). Report #1, Preparation for the Dissemination Phase.

    ERIC Educational Resources Information Center

    Logan, Lloyd; And Others

    The purpose of this report is to provide data on the progress of the Handwriting Implementation Project, which is designed to assist in installing the Beginner's Alphabet and Queensland Modern Cursive Script in Queensland government primary schools. Following an introduction that describes the phases and processes of curriculum development and…

  7. Sub-word based Arabic handwriting analysis for writer identification

    NASA Astrophysics Data System (ADS)

    Maliki, Makki; Al-Jawad, Naseer; Jassim, Sabah

    2013-05-01

    Analysing a text or part of it is key to handwriting identification. Generally, handwriting is learnt over time and people develop habits in the style of writing. These habits are embedded in special parts of handwritten text. In Arabic each word consists of one or more sub-word(s). The end of each sub-word is considered to be a connect stroke. The main hypothesis in this paper is that sub-words are essential reflection of Arabic writer's habits that could be exploited for writer identification. Testing this hypothesis will be based on experiments that evaluate writer's identification, mainly using K nearest neighbor from group of sub-words extracted from longer text. The experimental results show that using a group of sub-words could be used to identify the writer with a successful rate between 52.94 % to 82.35% when top1 is used, and it can go up to 100% when top5 is used based on K nearest neighbor. The results show that majority of writers are identified using 7 sub-words with a reliability confident of about 90% (i.e. 90% of the rejected templates have significantly larger distances to the tested example than the distance from the correctly identified template). However previous work, using a complete word, shows successful rate of at most 90% in top 10.

  8. Formal implementation of a performance evaluation model for the face recognition system.

    PubMed

    Shin, Yong-Nyuo; Kim, Jason; Lee, Yong-Jun; Shin, Woochang; Choi, Jin-Young

    2008-01-01

    Due to usability features, practical applications, and its lack of intrusiveness, face recognition technology, based on information, derived from individuals' facial features, has been attracting considerable attention recently. Reported recognition rates of commercialized face recognition systems cannot be admitted as official recognition rates, as they are based on assumptions that are beneficial to the specific system and face database. Therefore, performance evaluation methods and tools are necessary to objectively measure the accuracy and performance of any face recognition system. In this paper, we propose and formalize a performance evaluation model for the biometric recognition system, implementing an evaluation tool for face recognition systems based on the proposed model. Furthermore, we performed evaluations objectively by providing guidelines for the design and implementation of a performance evaluation system, formalizing the performance test process.

  9. Adapting to the surface: A comparison of handwriting measures when writing on a tablet computer and on paper.

    PubMed

    Gerth, Sabrina; Dolk, Thomas; Klassert, Annegret; Fliesser, Michael; Fischer, Martin H; Nottbusch, Guido; Festman, Julia

    2016-08-01

    Our study addresses the following research questions: Are there differences between handwriting movements on paper and on a tablet computer? Can experienced writers, such as most adults, adapt their graphomotor execution during writing to a rather unfamiliar surface for instance a tablet computer? We examined the handwriting performance of adults in three tasks with different complexity: (a) graphomotor abilities, (b) visuomotor abilities and (c) handwriting. Each participant performed each task twice, once on paper and once on a tablet computer with a pen. We tested 25 participants by measuring their writing duration, in air time, number of pen lifts, writing velocity and number of inversions in velocity. The data were analyzed using linear mixed-effects modeling with repeated measures. Our results reveal differences between writing on paper and on a tablet computer which were partly task-dependent. Our findings also show that participants were able to adapt their graphomotor execution to the smoother surface of the tablet computer during the tasks. Copyright © 2016 Elsevier B.V. All rights reserved.

  10. Perception of the Cursive Handwriting Movement in Writers and Pre-Writers

    ERIC Educational Resources Information Center

    Bonneton-Botté, Nathalie; Bara, Florence; Marec-Breton, Nathalie; De La Haye-Nicolas, Fanny; Gonthier, Corentin

    2018-01-01

    The objective of this study was to confirm the existence of knowledge relating to the cursive writing movement for French pupils in 3rd year of kindergarten, 2nd grade and 5th grade of elementary school. 141 pupils were asked to watch a visual presentation of cursive handwriting to determine whether they were able to detect violations of two rules…

  11. Active Multimodal Sensor System for Target Recognition and Tracking

    PubMed Central

    Zhang, Guirong; Zou, Zhaofan; Liu, Ziyue; Mao, Jiansen

    2017-01-01

    High accuracy target recognition and tracking systems using a single sensor or a passive multisensor set are susceptible to external interferences and exhibit environmental dependencies. These difficulties stem mainly from limitations to the available imaging frequency bands, and a general lack of coherent diversity of the available target-related data. This paper proposes an active multimodal sensor system for target recognition and tracking, consisting of a visible, an infrared, and a hyperspectral sensor. The system makes full use of its multisensor information collection abilities; furthermore, it can actively control different sensors to collect additional data, according to the needs of the real-time target recognition and tracking processes. This level of integration between hardware collection control and data processing is experimentally shown to effectively improve the accuracy and robustness of the target recognition and tracking system. PMID:28657609

  12. Switching among graphic patterns is governed by oscillatory coordination dynamics: implications for understanding handwriting

    PubMed Central

    Zanone, Pier-Giorgio; Athènes, Sylvie

    2013-01-01

    Revisiting an original idea by Hollerbach (1981), previous work has established that the production of graphic shapes, assumed to be the blueprint for handwriting, is governed by the dynamics of orthogonal non-linear coupled oscillators. Such dynamics determines few stable coordination patterns, giving rise to a limited set of preferred graphic shapes, namely, four lines and four ellipsoids independent of orientation. The present study investigates the rules of switching among such graphic coordination patterns. Seven participants were required to voluntarily switch within twelve pairs of shapes presented on a graphic tablet. In line with previous theoretical and experimental work on bimanual coordination, results corroborated our hypothesis that the relative stability of the produced coordination patterns determines the time needed for switching: the transition to a more stable pattern was shorter, and inversely. Moreover, switching between patterns with the same orientation but different eccentricities was faster than with a change in orientation. Nonetheless, the switching time covaried strictly with the change in relative phase effected by the transition between two shapes, whether this implied a change in eccentricity or in orientation. These findings suggest a new operational definition of what the (motor) units or strokes of handwriting are and shed a novel light on how coarticulation and recruitment of degrees of freedom may occur in graphic skills. They also yield some leads for understanding the acquisition and the neural underpinnings of handwriting. PMID:24069014

  13. Autonomous facial recognition system inspired by human visual system based logarithmical image visualization technique

    NASA Astrophysics Data System (ADS)

    Wan, Qianwen; Panetta, Karen; Agaian, Sos

    2017-05-01

    Autonomous facial recognition system is widely used in real-life applications, such as homeland border security, law enforcement identification and authentication, and video-based surveillance analysis. Issues like low image quality, non-uniform illumination as well as variations in poses and facial expressions can impair the performance of recognition systems. To address the non-uniform illumination challenge, we present a novel robust autonomous facial recognition system inspired by the human visual system based, so called, logarithmical image visualization technique. In this paper, the proposed method, for the first time, utilizes the logarithmical image visualization technique coupled with the local binary pattern to perform discriminative feature extraction for facial recognition system. The Yale database, the Yale-B database and the ATT database are used for computer simulation accuracy and efficiency testing. The extensive computer simulation demonstrates the method's efficiency, accuracy, and robustness of illumination invariance for facial recognition.

  14. Should Cursive Handwriting Still Be Taught in Schools? Information Capsule. Volume 0916

    ERIC Educational Resources Information Center

    Blazer, Christie

    2010-01-01

    Elementary school students spend less time learning cursive handwriting than they did in years past. The declining emphasis on cursive writing has been attributed to the increasing use of technology, the growing proportion of class time spent preparing for standardized tests, and the perception that the time students spend learning to write in…

  15. Container-code recognition system based on computer vision and deep neural networks

    NASA Astrophysics Data System (ADS)

    Liu, Yi; Li, Tianjian; Jiang, Li; Liang, Xiaoyao

    2018-04-01

    Automatic container-code recognition system becomes a crucial requirement for ship transportation industry in recent years. In this paper, an automatic container-code recognition system based on computer vision and deep neural networks is proposed. The system consists of two modules, detection module and recognition module. The detection module applies both algorithms based on computer vision and neural networks, and generates a better detection result through combination to avoid the drawbacks of the two methods. The combined detection results are also collected for online training of the neural networks. The recognition module exploits both character segmentation and end-to-end recognition, and outputs the recognition result which passes the verification. When the recognition module generates false recognition, the result will be corrected and collected for online training of the end-to-end recognition sub-module. By combining several algorithms, the system is able to deal with more situations, and the online training mechanism can improve the performance of the neural networks at runtime. The proposed system is able to achieve 93% of overall recognition accuracy.

  16. Anodal transcranial direct current stimulation to the cerebellum improves handwriting and cyclic drawing kinematics in focal hand dystonia.

    PubMed

    Bradnam, Lynley V; Graetz, Lynton J; McDonnell, Michelle N; Ridding, Michael C

    2015-01-01

    There is increasing evidence that the cerebellum has a role in the pathophysiology of primary focal hand dystonia and might provide an intervention target for non-invasive brain stimulation to improve function of the affected hand. The primary objective of this study was to determine if cerebellar transcranial direct current stimulation (tDCS) improves handwriting and cyclic drawing kinematics in people with hand dystonia, by reducing cerebellar-brain inhibition (CBI) evoked by transcranial magnetic stimulation (TMS). Eight people with dystonia (5 writer's dystonia, 3 musician's dystonia) and eight age-matched controls completed the study and underwent cerebellar anodal, cathodal and sham tDCS in separate sessions. Dystonia severity was assessed using the Writer's Cramp Rating Scale (WRCS) and the Arm Dystonia Disability Scale (ADDS). The kinematic measures that differentiated the groups were; mean stroke frequency during handwriting and fast cyclic drawing and average pen pressure during light cyclic drawing. TMS measures of cortical excitability were no different between people with FHD and controls. There was a moderate, negative relationship between TMS-evoked CBI at baseline and the WRCS in dystonia. Anodal cerebellar tDCS reduced handwriting mean stroke frequency and average pen pressure, and increased speed and reduced pen pressure during fast cyclic drawing. Kinematic measures were not associated with a decrease in CBI within an individual. In conclusion, cerebellar anodal tDCS appeared to improve kinematics of handwriting and circle drawing tasks; but the underlying neurophysiological mechanism remains uncertain. A study in a larger homogeneous population is needed to further investigate the possible therapeutic benefit of cerebellar tDCS in dystonia.

  17. The effects of dual tasking on handwriting in patients with Parkinson's disease.

    PubMed

    Broeder, S; Nackaerts, E; Nieuwboer, A; Smits-Engelsman, B C M; Swinnen, S P; Heremans, E

    2014-03-28

    Previous studies have shown that patients with Parkinson's disease (PD) experience extensive problems during dual tasking. Up to now, dual-task interference in PD has mainly been investigated in the context of gait research. However, the simultaneous performance of two different tasks is also a prerequisite to efficiently perform many other tasks in daily life, including upper limb tasks. To address this issue, this study investigated the effect of a secondary cognitive task on the performance of handwriting in patients with PD. Eighteen PD patients and 11 age-matched controls performed a writing task involving the production of repetitive loops under single- and dual-task conditions. The secondary task consisted of counting high and low tones during writing. The writing tests were performed with two amplitudes (0.6 and 1.0cm) using a writing tablet. Results showed that dual-task performance was affected in PD patients versus controls. Dual tasking reduced writing amplitude in PD patients, but not in healthy controls (p=0.046). Patients' writing size was mainly reduced during the small-amplitude condition (small amplitude p=0.017; large amplitude p=0.310). This suggests that the control of writing at small amplitudes requires more compensational brain-processing recourses in PD and is as such less automatic than writing at large amplitudes. In addition, there was a larger dual-task effect on the secondary task in PD patients than controls (p=0.025). The writing tests on the writing tablet proved highly correlated to daily life writing as measured by the 'Systematic Screening of Handwriting Difficulties' test (SOS-test) and other manual dexterity tasks, particularly during dual-task conditions. Taken together, these results provide additional insights into the motor control of handwriting and the effects of dual tasking during upper limb movements in patients with PD. Copyright © 2014 IBRO. Published by Elsevier Ltd. All rights reserved.

  18. The Relationship of Pencil Grasp on College Students' Handwriting Speed and Legibility

    ERIC Educational Resources Information Center

    Shah, Lalit J.; Gladson, Beth L.

    2015-01-01

    To be successful in school, it is important for students to be able to communicate to teachers what they know and have learned through exams, papers, daily assignments, and projects. The primary way students display this knowledge during these tasks is in written form, and thus, the skill of handwriting is essential. School-based occupational…

  19. Teaching Handwriting to Elementary Students with Learning Disabilities: A Problem-Solving Approach

    ERIC Educational Resources Information Center

    Datchuk, Shawn

    2015-01-01

    Problems with handwriting can negatively impact the writing of students with learning disabilities. In this article, an example is provided of a fourth-grade special education teacher's efforts to assist a new student by using a problem-solving approach to help determine an efficient course of action for special education teachers who are trying…

  20. A dynamical model improves reconstruction of handwriting from multichannel electromyographic recordings

    PubMed Central

    Okorokova, Elizaveta; Lebedev, Mikhail; Linderman, Michael; Ossadtchi, Alex

    2015-01-01

    In recent years, several assistive devices have been proposed to reconstruct arm and hand movements from electromyographic (EMG) activity. Although simple to implement and potentially useful to augment many functions, such myoelectric devices still need improvement before they become practical. Here we considered the problem of reconstruction of handwriting from multichannel EMG activity. Previously, linear regression methods (e.g., the Wiener filter) have been utilized for this purpose with some success. To improve reconstruction accuracy, we implemented the Kalman filter, which allows to fuse two information sources: the physical characteristics of handwriting and the activity of the leading hand muscles, registered by the EMG. Applying the Kalman filter, we were able to convert eight channels of EMG activity recorded from the forearm and the hand muscles into smooth reconstructions of handwritten traces. The filter operates in a causal manner and acts as a true predictor utilizing the EMGs from the past only, which makes the approach suitable for real-time operations. Our algorithm is appropriate for clinical neuroprosthetic applications and computer peripherals. Moreover, it is applicable to a broader class of tasks where predictive myoelectric control is needed. PMID:26578856

  1. Low energy physical activity recognition system on smartphones.

    PubMed

    Soria Morillo, Luis Miguel; Gonzalez-Abril, Luis; Ortega Ramirez, Juan Antonio; de la Concepcion, Miguel Angel Alvarez

    2015-03-03

    An innovative approach to physical activity recognition based on the use of discrete variables obtained from accelerometer sensors is presented. The system first performs a discretization process for each variable, which allows efficient recognition of activities performed by users using as little energy as possible. To this end, an innovative discretization and classification technique is presented based on the χ2 distribution. Furthermore, the entire recognition process is executed on the smartphone, which determines not only the activity performed, but also the frequency at which it is carried out. These techniques and the new classification system presented reduce energy consumption caused by the activity monitoring system. The energy saved increases smartphone usage time to more than 27 h without recharging while maintaining accuracy.

  2. Automated road marking recognition system

    NASA Astrophysics Data System (ADS)

    Ziyatdinov, R. R.; Shigabiev, R. R.; Talipov, D. N.

    2017-09-01

    Development of the automated road marking recognition systems in existing and future vehicles control systems is an urgent task. One way to implement such systems is the use of neural networks. To test the possibility of using neural network software has been developed with the use of a single-layer perceptron. The resulting system based on neural network has successfully coped with the task both when driving in the daytime and at night.

  3. Effectiveness of feature and classifier algorithms in character recognition systems

    NASA Astrophysics Data System (ADS)

    Wilson, Charles L.

    1993-04-01

    At the first Census Optical Character Recognition Systems Conference, NIST generated accuracy data for more than character recognition systems. Most systems were tested on the recognition of isolated digits and upper and lower case alphabetic characters. The recognition experiments were performed on sample sizes of 58,000 digits, and 12,000 upper and lower case alphabetic characters. The algorithms used by the 26 conference participants included rule-based methods, image-based methods, statistical methods, and neural networks. The neural network methods included Multi-Layer Perceptron's, Learned Vector Quantitization, Neocognitrons, and cascaded neural networks. In this paper 11 different systems are compared using correlations between the answers of different systems, comparing the decrease in error rate as a function of confidence of recognition, and comparing the writer dependence of recognition. This comparison shows that methods that used different algorithms for feature extraction and recognition performed with very high levels of correlation. This is true for neural network systems, hybrid systems, and statistically based systems, and leads to the conclusion that neural networks have not yet demonstrated a clear superiority to more conventional statistical methods. Comparison of these results with the models of Vapnick (for estimation problems), MacKay (for Bayesian statistical models), Moody (for effective parameterization), and Boltzmann models (for information content) demonstrate that as the limits of training data variance are approached, all classifier systems have similar statistical properties. The limiting condition can only be approached for sufficiently rich feature sets because the accuracy limit is controlled by the available information content of the training set, which must pass through the feature extraction process prior to classification.

  4. Laptop Computer - Based Facial Recognition System Assessment

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    R. A. Cain; G. B. Singleton

    2001-03-01

    The objective of this project was to assess the performance of the leading commercial-off-the-shelf (COTS) facial recognition software package when used as a laptop application. We performed the assessment to determine the system's usefulness for enrolling facial images in a database from remote locations and conducting real-time searches against a database of previously enrolled images. The assessment involved creating a database of 40 images and conducting 2 series of tests to determine the product's ability to recognize and match subject faces under varying conditions. This report describes the test results and includes a description of the factors affecting the results.more » After an extensive market survey, we selected Visionics' FaceIt{reg_sign} software package for evaluation and a review of the Facial Recognition Vendor Test 2000 (FRVT 2000). This test was co-sponsored by the US Department of Defense (DOD) Counterdrug Technology Development Program Office, the National Institute of Justice, and the Defense Advanced Research Projects Agency (DARPA). Administered in May-June 2000, the FRVT 2000 assessed the capabilities of facial recognition systems that were currently available for purchase on the US market. Our selection of this Visionics product does not indicate that it is the ''best'' facial recognition software package for all uses. It was the most appropriate package based on the specific applications and requirements for this specific application. In this assessment, the system configuration was evaluated for effectiveness in identifying individuals by searching for facial images captured from video displays against those stored in a facial image database. An additional criterion was that the system be capable of operating discretely. For this application, an operational facial recognition system would consist of one central computer hosting the master image database with multiple standalone systems configured with duplicates of the master

  5. Characteristics of Handwriting of People With Cerebellar Ataxia: Three-Dimensional Movement Analysis of the Pen Tip, Finger, and Wrist.

    PubMed

    Fujisawa, Yuhki; Okajima, Yasutomo

    2015-11-01

    There are several functional tests for evaluating manual performance; however, quantitative manual tests for ataxia, especially those for evaluating handwriting, are limited. This study aimed to investigate the characteristics of cerebellar ataxia by analyzing handwriting, with a special emphasis on correlation between the movement of the pen tip and the movement of the finger or wrist. This was an observational study. Eleven people who were right-handed and had cerebellar ataxia and 17 people to serve as controls were recruited. The Scale for the Assessment and Rating of Ataxia was used to grade the severity of ataxia. Handwriting movements of both hands were analyzed. The time required for writing a character, the variability of individual handwriting, and the correlation between the movement of the pen tip and the movement of the finger or wrist were evaluated for participants with ataxia and control participants. The writing time was longer and the velocity profile and shape of the track of movement of the pen tip were more variable in participants with ataxia than in control participants. For participants with ataxia, the direction of movement of the pen tip deviated more from that of the finger or wrist, and the shape of the track of movement of the pen tip differed more from that of the finger or wrist. The severity of upper extremity ataxia measured with the Scale for the Assessment and Rating of Ataxia was mostly correlated with the variability parameters. Furthermore, it was correlated with the directional deviation of the trajectory of movement of the pen tip from that of the finger and with increased dissimilarity of the shapes of the tracks. The results may have been influenced by the scale and parameters used to measure movement. Ataxic handwriting with increased movement noise is characterized by irregular pen tip movements unconstrained by the finger or wrist. The severity of ataxia is correlated with these unconstrained movements. © 2015 American

  6. Integrating Eye Trackers with Handwriting Tablets to Discover Difficulties of Solving Geometry Problems

    ERIC Educational Resources Information Center

    Lin, John J. H.; Lin, Sunny S. J.

    2018-01-01

    To deepen our understanding of those aspects of problems that cause the most difficulty for solvers, this study integrated eye-tracking with handwriting devices to investigate problem solvers' online processes while solving geometry problems. We are interested in whether the difference between successful and unsuccessful solvers can be identified…

  7. Impact of Handwriting Training on Fluency, Spelling and Text Quality among Third Graders

    ERIC Educational Resources Information Center

    Hurschler Lichtsteiner, Sibylle; Wicki, Werner; Falmann, Péter

    2018-01-01

    As recent studies and theoretical assumptions suggest that the quality of texts composed by children and adolescents is affected by their transcription skills, this experimental field trial aims at investigating the impact of combined handwriting/spelling training on fluency, spelling and text quality among normally developing 3rd graders…

  8. The Effects of "Handwriting without Tears®" on the Handwriting Skills of Appropriate Size, Form, and Tool for a Four Year-Old Boy with a Developmental Delay

    ERIC Educational Resources Information Center

    Meyers, Colleen; McLaughlin, T. F.; Derby, Mark; Weber, Kimberly P.; Robison, Milena

    2015-01-01

    The ability to write one's own name legibly is a critical lifelong skill for academic success. The purpose of the present study was to evaluate the effects of the Handwriting Without Tears® program on teaching a four year-old how to write his first name using proper size, form, and tool. The participant was a four year-old boy in a self-contained…

  9. Presentation Attack Detection for Iris Recognition System Using NIR Camera Sensor.

    PubMed

    Nguyen, Dat Tien; Baek, Na Rae; Pham, Tuyen Danh; Park, Kang Ryoung

    2018-04-24

    Among biometric recognition systems such as fingerprint, finger-vein, or face, the iris recognition system has proven to be effective for achieving a high recognition accuracy and security level. However, several recent studies have indicated that an iris recognition system can be fooled by using presentation attack images that are recaptured using high-quality printed images or by contact lenses with printed iris patterns. As a result, this potential threat can reduce the security level of an iris recognition system. In this study, we propose a new presentation attack detection (PAD) method for an iris recognition system (iPAD) using a near infrared light (NIR) camera image. To detect presentation attack images, we first localized the iris region of the input iris image using circular edge detection (CED). Based on the result of iris localization, we extracted the image features using deep learning-based and handcrafted-based methods. The input iris images were then classified into real and presentation attack categories using support vector machines (SVM). Through extensive experiments with two public datasets, we show that our proposed method effectively solves the iris recognition presentation attack detection problem and produces detection accuracy superior to previous studies.

  10. Presentation Attack Detection for Iris Recognition System Using NIR Camera Sensor

    PubMed Central

    Nguyen, Dat Tien; Baek, Na Rae; Pham, Tuyen Danh; Park, Kang Ryoung

    2018-01-01

    Among biometric recognition systems such as fingerprint, finger-vein, or face, the iris recognition system has proven to be effective for achieving a high recognition accuracy and security level. However, several recent studies have indicated that an iris recognition system can be fooled by using presentation attack images that are recaptured using high-quality printed images or by contact lenses with printed iris patterns. As a result, this potential threat can reduce the security level of an iris recognition system. In this study, we propose a new presentation attack detection (PAD) method for an iris recognition system (iPAD) using a near infrared light (NIR) camera image. To detect presentation attack images, we first localized the iris region of the input iris image using circular edge detection (CED). Based on the result of iris localization, we extracted the image features using deep learning-based and handcrafted-based methods. The input iris images were then classified into real and presentation attack categories using support vector machines (SVM). Through extensive experiments with two public datasets, we show that our proposed method effectively solves the iris recognition presentation attack detection problem and produces detection accuracy superior to previous studies. PMID:29695113

  11. Examining the Contribution of Handwriting and Spelling to Written Expression in Kindergarten Children

    ERIC Educational Resources Information Center

    Puranik, Cynthia S.; AlOtaiba, Stephanie

    2012-01-01

    In this study, we examined the development of beginning writing skills in kindergarten children and the contribution of spelling and handwriting to these writing skills after accounting for early language, literacy, cognitive skills, and student characteristics. Two hundred and forty two children were given a battery of cognitive, oral language,…

  12. The Effect of Variations in Handwriting and Print on Evaluation of Student Essays

    ERIC Educational Resources Information Center

    Klein, Joseph; Taub, David

    2005-01-01

    The variety of factors contributing to the quality of handwriting or print provides an opportunity to determine the extent to which teachers are influenced by the interaction between different bias elements during evaluation of examinations. Fifty-three teachers evaluated compositions that had been awarded grades of 80% by impartial experts. A…

  13. Anodal transcranial direct current stimulation to the cerebellum improves handwriting and cyclic drawing kinematics in focal hand dystonia

    PubMed Central

    Bradnam, Lynley V.; Graetz, Lynton J.; McDonnell, Michelle N.; Ridding, Michael C.

    2015-01-01

    There is increasing evidence that the cerebellum has a role in the pathophysiology of primary focal hand dystonia and might provide an intervention target for non-invasive brain stimulation to improve function of the affected hand. The primary objective of this study was to determine if cerebellar transcranial direct current stimulation (tDCS) improves handwriting and cyclic drawing kinematics in people with hand dystonia, by reducing cerebellar-brain inhibition (CBI) evoked by transcranial magnetic stimulation (TMS). Eight people with dystonia (5 writer’s dystonia, 3 musician’s dystonia) and eight age-matched controls completed the study and underwent cerebellar anodal, cathodal and sham tDCS in separate sessions. Dystonia severity was assessed using the Writer’s Cramp Rating Scale (WRCS) and the Arm Dystonia Disability Scale (ADDS). The kinematic measures that differentiated the groups were; mean stroke frequency during handwriting and fast cyclic drawing and average pen pressure during light cyclic drawing. TMS measures of cortical excitability were no different between people with FHD and controls. There was a moderate, negative relationship between TMS-evoked CBI at baseline and the WRCS in dystonia. Anodal cerebellar tDCS reduced handwriting mean stroke frequency and average pen pressure, and increased speed and reduced pen pressure during fast cyclic drawing. Kinematic measures were not associated with a decrease in CBI within an individual. In conclusion, cerebellar anodal tDCS appeared to improve kinematics of handwriting and circle drawing tasks; but the underlying neurophysiological mechanism remains uncertain. A study in a larger homogeneous population is needed to further investigate the possible therapeutic benefit of cerebellar tDCS in dystonia. PMID:26042019

  14. A system for activity recognition using multi-sensor fusion.

    PubMed

    Gao, Lei; Bourke, Alan K; Nelson, John

    2011-01-01

    This paper proposes a system for activity recognition using multi-sensor fusion. In this system, four sensors are attached to the waist, chest, thigh, and side of the body. In the study we present two solutions for factors that affect the activity recognition accuracy: the calibration drift and the sensor orientation changing. The datasets used to evaluate this system were collected from 8 subjects who were asked to perform 8 scripted normal activities of daily living (ADL), three times each. The Naïve Bayes classifier using multi-sensor fusion is adopted and achieves 70.88%-97.66% recognition accuracies for 1-4 sensors.

  15. Impact of distal median neuropathy on handwriting performance for patients with carpal tunnel syndrome in office and administrative support occupations.

    PubMed

    Kuo, Li-Chieh; Hsu, Hsiao-Man; Wu, Po-Ting; Lin, Sheng-Che; Hsu, Hsiu-Yun; Jou, I-Ming

    2014-06-01

    This study investigates the handwriting performance of patients with carpal tunnel syndrome (CTS) and healthy controls in office and administrative support occupations, adopting both biomechanical and functional perspectives. This work also explores how surgical intervention altered the performance of the CTS patients. Fourteen CTS patients and 14 control subjects were recruited to complete a self-reported survey and participate in sensory tests, hand strength, dexterity and handwriting tasks using a custom force acquisition pen along with motion capture technology. Based on the results of these, the sensory measurements, along with functional and biomechanical parameters, were used to determine the differences between the groups and also reveal any improvements that occurred in the CTS group after surgical intervention. The CTS patients showed significantly poorer hand sensibility and dexterity than the controls, as well as excessive force exertion of the digits and pen tip, and less efficient force adjustment ability during handwriting. After surgery and sensory recovery, the hand dexterity and pen tip force of the CTS patients improved significantly. The force adjustment abilities of the digits also increased, but these changes were not statistically significant. This study provides the objective measurements and novel apparatus that can be used to determine impairments in the handwriting abilities of office or administrative workers with CTS. The results can also help clinicians or patients to better understand the sensory-related deficits in sensorimotor control of the hand related to CTS, and thus develop and implement more suitable training or adaptive protocols.

  16. The species recognition system: a new corollary for the human fetoembryonic defense system hypothesis.

    PubMed

    Clark, G F; Dell, A; Morris, H R; Patankar, M S; Easton, R L

    2001-01-01

    We have previously suggested that the human fetus is protected during human development by a system of both soluble and cell surface associated glycoconjugates that utilize their carbohydrate sequences as functional groups to enable them to evoke tolerance. The proposed model has been referred to as the human fetoembryonic defense system hypothesis (hu-FEDS). In this paradigm, it has previously been proposed that similar oligosaccharides are used to mediate crucial recognition events required during both human sperm-egg binding and immune-inflammatory cell interactions. This vertical integration suggested to us that the sperm-egg binding itself is related to universal recognition events that occur between immune and inflammatory cells, except that in this case recognition of 'species' rather than recognition of 'self' is being manifested. In this paper, we have designated this component of hu-FEDS as the species recognition system (SRS). We propose that the SRS is an integral component of the hu-FEDS used to enable sperm-egg recognition and protection of the gametes from potential immune responses. Recent structural data indicates that the glycan sequences implicated in mediating murine gamete recognition are also expressed on CD45 in activated murine T lymphocytes and cytotoxic T lymphocytes. This overlap supports our contention that there is an overlap between the immune and gamete recognition systems. Therefore the hu-FEDS paradigm may be a subset of a larger model that also applies to other placental mammals. We therefore propose that the hu-FEDS model for protection should in the future be referred to as the eutherian fetoembryonic defense system hypothesis (eu-FEDS) to account for this extension. The possibility exists that the SRS component of eu-FEDS could predate eutherians and extend to all sexually reproducing organisms. Future investigation of the interactions between the immune and gamete recognition system will be required to determine the degree of

  17. Visual-Motor Symbol Production Facilitates Letter Recognition in Young Children

    ERIC Educational Resources Information Center

    Zemlock, Deborah; Vinci-Booher, Sophia; James, Karin H.

    2018-01-01

    Previous research has suggested that handwriting letters may be an important exerciser to facilitate early letter understanding. Experimental studies to date, however, have not investigated whether this effect is general to any visual-motor experience or specific to handwriting letters. In the present work, we addressed this issue by testing…

  18. Initial Usability Testing of a Hand-Held Electronic Logbook Prototype for the Human Research Facility

    NASA Technical Reports Server (NTRS)

    Berman, Andrea H.; Whitmore, Mihriban

    1996-01-01

    The Apple(R) Newton(TM) MessagePad 110 was flown aboard the KC-135 reduced gravity aircraft for microgravity usability testing. The Newton served as the initial hand-held electronic logbook prototype for the International Space Station (ISS) Human Research Facility (HRF). Subjects performed three different tasks with the Newton: (1) using the stylus to tap on different sections of the screen in order to launch an application and to select options within it; (2) using the stylus to write, and; (3) correcting handwriting recognition errors in a handwriting-intensive application. Subjects rated handwriting in microgravity 'Borderline' and had great difficulties finding a way in which to adequately restrain themselves at the lower body in order to have their hands free for the Newton. Handwriting recognition was rated 'Unacceptable,' but this issue is hardware-related and not unique to the microgravity environment. It is suggested that the restraint and handwriting issues are related and require further joint research with the current Handheld Electronic Logbook prototype: the Norand Pen*key Model #6300.

  19. Vision-based object detection and recognition system for intelligent vehicles

    NASA Astrophysics Data System (ADS)

    Ran, Bin; Liu, Henry X.; Martono, Wilfung

    1999-01-01

    Recently, a proactive crash mitigation system is proposed to enhance the crash avoidance and survivability of the Intelligent Vehicles. Accurate object detection and recognition system is a prerequisite for a proactive crash mitigation system, as system component deployment algorithms rely on accurate hazard detection, recognition, and tracking information. In this paper, we present a vision-based approach to detect and recognize vehicles and traffic signs, obtain their information, and track multiple objects by using a sequence of color images taken from a moving vehicle. The entire system consist of two sub-systems, the vehicle detection and recognition sub-system and traffic sign detection and recognition sub-system. Both of the sub- systems consist of four models: object detection model, object recognition model, object information model, and object tracking model. In order to detect potential objects on the road, several features of the objects are investigated, which include symmetrical shape and aspect ratio of a vehicle and color and shape information of the signs. A two-layer neural network is trained to recognize different types of vehicles and a parameterized traffic sign model is established in the process of recognizing a sign. Tracking is accomplished by combining the analysis of single image frame with the analysis of consecutive image frames. The analysis of the single image frame is performed every ten full-size images. The information model will obtain the information related to the object, such as time to collision for the object vehicle and relative distance from the traffic sings. Experimental results demonstrated a robust and accurate system in real time object detection and recognition over thousands of image frames.

  20. Dance recognition system using lower body movement.

    PubMed

    Simpson, Travis T; Wiesner, Susan L; Bennett, Bradford C

    2014-02-01

    The current means of locating specific movements in film necessitate hours of viewing, making the task of conducting research into movement characteristics and patterns tedious and difficult. This is particularly problematic for the research and analysis of complex movement systems such as sports and dance. While some systems have been developed to manually annotate film, to date no automated way of identifying complex, full body movement exists. With pattern recognition technology and knowledge of joint locations, automatically describing filmed movement using computer software is possible. This study used various forms of lower body kinematic analysis to identify codified dance movements. We created an algorithm that compares an unknown move with a specified start and stop against known dance moves. Our recognition method consists of classification and template correlation using a database of model moves. This system was optimized to include nearly 90 dance and Tai Chi Chuan movements, producing accurate name identification in over 97% of trials. In addition, the program had the capability to provide a kinematic description of either matched or unmatched moves obtained from classification recognition.

  1. The Effect of a Sport Stacking Intervention on Handwriting with Second Grade Students

    ERIC Educational Resources Information Center

    Li, Yuhua; Coleman, Diane; Ransdell, Mary; Coleman, Lyndsie; Irwin, Carol

    2014-01-01

    The present study examined the impact a 14-week sport stacking (cup stacking) exercise intervention would have on children's handwriting quality and speed. Eighty-three second graders were randomly assigned to either an experimental or a control group. The experimental group (n = 42) participated in a 15-min session of sport stacking activities…

  2. Handwriting Development in Spanish Children with and without Learning Disabilities: A Graphonomic Approach

    ERIC Educational Resources Information Center

    Barrientos, Pablo

    2017-01-01

    The central purpose of this study was to analyze the dynamics of handwriting movements in real time for Spanish students in early grades with and without learning disabilities. The sample consisted of 120 children from Grades 1 through 3 (primary education), classified into two groups: with learning disabilities and without learning disabilities.…

  3. The Impact of Supplemental Handwriting and Spelling Instruction with First Grade Students Who Do Not Acquire Transcription Skills as Rapidly as Peers: A Randomized Control Trial

    ERIC Educational Resources Information Center

    Graham, Steve; Harris, Karen R.; Adkins, Mary

    2018-01-01

    The impact of supplemental handwriting and spelling instruction on learning to write was examined in an experimental study with first grade students who were not acquiring these skills as rapidly as their classmates. Thirty students (16 boys, 14 girls) were randomly assigned to a handwriting and spelling instructional condition or a phonological…

  4. Developing a Credit Recognition System for Chinese Higher Education Institutions

    ERIC Educational Resources Information Center

    Li, Fuhui

    2015-01-01

    In recent years, a credit recognition system has been developing in Chinese higher education institutions. Much research has been done on this development, but it has been concentrated on system building, barriers/issues and international practices. The relationship between credit recognition system reforms and democratisation of higher education…

  5. Handwriting, Spelling, and Narrative Competence in the Fictional Stories of Italian Primary-School Children

    ERIC Educational Resources Information Center

    Longobardi, Emiddia; Spataro, Pietro; Pizzicannella, Emiliano

    2018-01-01

    Previous studies with English-speaking children showed that handwriting and spelling abilities played a critical role in the development of writing fluency and quality, particularly during the transition from the kindergarten to primary school; in contrast, studies dealing with orthographically transparent languages found small or no relations…

  6. Translation and cross-cultural adaptation of the Detailed Assessment of Speed of Handwriting 17+ to Brazilian Portuguese: conceptual, item and semantic equivalence.

    PubMed

    Cardoso, Monique Herrera; Capellini, Simone Aparecida

    2018-02-19

    Perform a cross-cultural adaptation of the Detailed Assessment of Speed of Handwriting 17+ (DASH 17+) for Brazilians. Evaluation of (1) conceptual, item and (2) semantic equivalence, with assistance of four translators and application of a pilot study to 36 students. (1) The concepts and items are equivalent in the British and Brazilian cultures. (2) Adaptations were made concerning the English language pangram used in copying tasks and selection of the lower-case, cursive handwriting in the alphabet-writing task. Application of the pilot study verified acceptability and understanding of the proposed tasks by the students. The Brazilian Portuguese version of the DASH 17+ was presented after finalization of the conceptual, item and semantic equivalence of the instrument. Further studies on psychometric properties should be conducted with the purpose of measuring the speed of handwriting in youngsters and adults with greater reliability and validity to the procedure.

  7. Toward Monitoring Parkinson's Through Analysis of Static Handwriting Samples: A Quantitative Analytical Framework.

    PubMed

    Zhi, Naiqian; Jaeger, Beverly Kris; Gouldstone, Andrew; Sipahi, Rifat; Frank, Samuel

    2017-03-01

    Detection of changes in micrographia as a manifestation of symptomatic progression or therapeutic response in Parkinson's disease (PD) is challenging as such changes can be subtle. A computerized toolkit based on quantitative analysis of handwriting samples would be valuable as it could supplement and support clinical assessments, help monitor micrographia, and link it to PD. Such a toolkit would be especially useful if it could detect subtle yet relevant changes in handwriting morphology, thus enhancing resolution of the detection procedure. This would be made possible by developing a set of metrics sensitive enough to detect and discern micrographia with specificity. Several metrics that are sensitive to the characteristics of micrographia were developed, with minimal sensitivity to confounding handwriting artifacts. These metrics capture character size-reduction, ink utilization, and pixel density within a writing sample from left to right. They are used here to "score" handwritten signatures of 12 different individuals corresponding to healthy and symptomatic PD conditions, and sample control signatures that had been artificially reduced in size for comparison purposes. Moreover, metric analyses of samples from ten of the 12 individuals for which clinical diagnosis time is known show considerable informative variations when applied to static signature samples obtained before and after diagnosis. In particular, a measure called pixel density variation showed statistically significant differences ( ) between two comparison groups of remote signature recordings: earlier versus recent, based on independent and paired t-test analyses on a total of 40 signature samples. The quantitative framework developed here has the potential to be used in future controlled experiments to study micrographia and links to PD from various aspects, including monitoring and assessment of applied interventions and treatments. The inherent value in this methodology is further enhanced by

  8. Factors Influencing Student Preference When Comparing Handwriting and Typing for Essay Style Examinations

    ERIC Educational Resources Information Center

    Mogey, Nora; Fluck, Andrew

    2015-01-01

    It seems anachronistic that we expect students to handwrite essay examinations when almost all their other work is mediated by computer. Two universities, one in the UK and one in Australia, are exploring the use of computers in free text response examinations. This paper compares both the attitudes and the behaviours of their students concerning…

  9. End-to-end system of license plate localization and recognition

    NASA Astrophysics Data System (ADS)

    Zhu, Siyu; Dianat, Sohail; Mestha, Lalit K.

    2015-03-01

    An end-to-end license plate recognition system is proposed. It is composed of preprocessing, detection, segmentation, and character recognition to find and recognize plates from camera-based still images. The system utilizes connected component (CC) properties to quickly extract the license plate region. A two-stage CC filtering is utilized to address both shape and spatial relationship information to produce high precision and to recall values for detection. Floating peak and valleys of projection profiles are used to cut the license plates into individual characters. A turning function-based method is proposed to quickly and accurately recognize each character. It is further accelerated using curvature histogram-based support vector machine. The INFTY dataset is used to train the recognition system, and MediaLab license plate dataset is used for testing. The proposed system achieved 89.45% F-measure for detection and 87.33% accuracy for overall recognition rate which is comparable to current state-of-the-art systems.

  10. Tuberculosis disease diagnosis using artificial immune recognition system.

    PubMed

    Shamshirband, Shahaboddin; Hessam, Somayeh; Javidnia, Hossein; Amiribesheli, Mohsen; Vahdat, Shaghayegh; Petković, Dalibor; Gani, Abdullah; Kiah, Miss Laiha Mat

    2014-01-01

    There is a high risk of tuberculosis (TB) disease diagnosis among conventional methods. This study is aimed at diagnosing TB using hybrid machine learning approaches. Patient epicrisis reports obtained from the Pasteur Laboratory in the north of Iran were used. All 175 samples have twenty features. The features are classified based on incorporating a fuzzy logic controller and artificial immune recognition system. The features are normalized through a fuzzy rule based on a labeling system. The labeled features are categorized into normal and tuberculosis classes using the Artificial Immune Recognition Algorithm. Overall, the highest classification accuracy reached was for the 0.8 learning rate (α) values. The artificial immune recognition system (AIRS) classification approaches using fuzzy logic also yielded better diagnosis results in terms of detection accuracy compared to other empirical methods. Classification accuracy was 99.14%, sensitivity 87.00%, and specificity 86.12%.

  11. Sequence for the Training of Eye-Hand Coordination Needed for the Organization of Handwriting Tasks

    ERIC Educational Resources Information Center

    Trester, Mary Fran

    1971-01-01

    Suggested is a sequence of 11 class activities, progressing from gross to fine motor skills, to assist the development of skills required to perform handwriting tasks successfully, for use particularly with children who lack fine motor control and eye-hand coordination. (KW)

  12. Typing Compared with Handwriting for Essay Examinations at University: Letting the Students Choose

    ERIC Educational Resources Information Center

    Mogey, Nora; Paterson, Jessie; Burk, John; Purcell, Michael

    2010-01-01

    Students at the University of Edinburgh do almost all their work on computers, but at the end of the semester they are examined by handwritten essays. Intuitively it would be appealing to allow students the choice of handwriting or typing, but this raises a concern that perhaps this might not be "fair"--that the choice a student makes,…

  13. Does the Handwriting Style Learned in First Grade Determine the Style Used in the Fourth and Fifth Grades and Influence Handwriting Speed and Quality? A Comparison between French and Quebec Children

    ERIC Educational Resources Information Center

    Bara, Florence; Morin, Marie-France

    2013-01-01

    An important issue relating to the teaching of handwriting concerns the style that should be learned at school (manuscript or cursive). Whereas some countries choose to teach both styles (e.g., Canada), other countries choose to teach only one (e.g., France). Our research had three main underlying goals, namely (1) to observe and describe the…

  14. Teaching, Learning, and Evaluating: Handwriting in Uruguayan Public Elementary Schools in the 1830s

    ERIC Educational Resources Information Center

    Viacava, Juan

    2017-01-01

    This article examines the Uruguayan state approach to the teaching of writing in public elementary education during the 1830s, and is an attempt to explain why state officials advanced new pedagogical methods aimed at increasing rationalisation and standardisation. While many different handwriting styles existed in the past, the school system…

  15. Constraints in distortion-invariant target recognition system simulation

    NASA Astrophysics Data System (ADS)

    Iftekharuddin, Khan M.; Razzaque, Md A.

    2000-11-01

    Automatic target recognition (ATR) is a mature but active research area. In an earlier paper, we proposed a novel ATR approach for recognition of targets varying in fine details, rotation, and translation using a Learning Vector Quantization (LVQ) Neural Network (NN). The proposed approach performed segmentation of multiple objects and the identification of the objects using LVQNN. In this current paper, we extend the previous approach for recognition of targets varying in rotation, translation, scale, and combination of all three distortions. We obtain the analytical results of the system level design to show that the approach performs well with some constraints. The first constraint determines the size of the input images and input filters. The second constraint shows the limits on amount of rotation, translation, and scale of input objects. We present the simulation verification of the constraints using DARPA's Moving and Stationary Target Recognition (MSTAR) images with different depression and pose angles. The simulation results using MSTAR images verify the analytical constraints of the system level design.

  16. Implementation of age and gender recognition system for intelligent digital signage

    NASA Astrophysics Data System (ADS)

    Lee, Sang-Heon; Sohn, Myoung-Kyu; Kim, Hyunduk

    2015-12-01

    Intelligent digital signage systems transmit customized advertising and information by analyzing users and customers, unlike existing system that presented advertising in the form of broadcast without regard to type of customers. Currently, development of intelligent digital signage system has been pushed forward vigorously. In this study, we designed a system capable of analyzing gender and age of customers based on image obtained from camera, although there are many different methods for analyzing customers. We conducted age and gender recognition experiments using public database. The age/gender recognition experiments were performed through histogram matching method by extracting Local binary patterns (LBP) features after facial area on input image was normalized. The results of experiment showed that gender recognition rate was as high as approximately 97% on average. Age recognition was conducted based on categorization into 5 age classes. Age recognition rates for women and men were about 67% and 68%, respectively when that conducted separately for different gender.

  17. The Army word recognition system

    NASA Technical Reports Server (NTRS)

    Hadden, David R.; Haratz, David

    1977-01-01

    The application of speech recognition technology in the Army command and control area is presented. The problems associated with this program are described as well as as its relevance in terms of the man/machine interactions, voice inflexions, and the amount of training needed to interact with and utilize the automated system.

  18. Three-dimensional movement analysis of handwriting in subjects with mild hemiparesis.

    PubMed

    Harada, Takako; Okajima, Yasutomo; Takahashi, Hidetoshi

    2010-08-01

    To investigate the effects of hemiparesis on handwriting using a 3-dimensional movement analyzer. Comparative case study. Ambulatory care clinic. Right-handed patients (n=25; mean age +/- SD, 62.3+/-10y) with mild right hemiparesis secondary to subcortical stroke, and age-matched (n=10; 65.6+/-13y) and age-unmatched (n=15; 32.4+/-10y) control subjects. Not applicable. Time required to write a Japanese character of 2 different sizes and average speed of handwriting at the pen tip. Average radii of tracks of the moving pen tip, metacarpal head of the index finger, and distal end of the forearm during writing. Correlation coefficients of the instantaneous speed-time graph of the pen tip with that of the index finger and with that of the distal forearm during writing. Time for writing with the hemiparetic right hand was longer than that with the unaffected left hand (P=.05 approximately .03), while it was shorter in healthy control subjects (P=.07 approximately .05). In contrast with the left-hand writing, the track radius of the pen tip of the right-hand writing in patients with hemiparesis with normal joint position sense was significantly larger than that of the finger or distal forearm (P=.01). The finding was the same as in the young and elderly control subjects. This right-left difference disappeared in the patients with hemiparesis with position sense impairment. The correlation coefficient of speed between the pen tip and the finger was larger in right-hand than left-hand writing in the control and sensory-normative patients with hemiparesis even though the difference was significant only in the healthy elderly subjects (P=.03). Irrespective of the right or left hand use, the correlation coefficient between the pen tip and the finger or distal forearm significantly increased as the character size increased (P=.03 approximately 6 x10(-6)) in all subjects and patients. However, this size-related difference was less significant in the patients with sensory

  19. DIAC object recognition system

    NASA Astrophysics Data System (ADS)

    Buurman, Johannes

    1992-03-01

    This paper describes the object recognition system used in an intelligent robot cell. It is used to recognize and estimate pose and orientation of parts as they enter the cell. The parts are mostly metal and consist of polyhedral and cylindrical shapes. The system uses feature-based stereo vision to acquire a wireframe of the observed part. Features are defined as straight lines and ellipses, which lead to a wireframe of straight lines and circular arcs (the latter using a new algorithm). This wireframe is compared to a number of wire frame models obtained from the CAD database. Experimental results show that image processing hardware and parallelization may add considerably to the speed of the system.

  20. Intelligent Facial Recognition Systems: Technology advancements for security applications

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Beer, C.L.

    1993-07-01

    Insider problems such as theft and sabotage can occur within the security and surveillance realm of operations when unauthorized people obtain access to sensitive areas. A possible solution to these problems is a means to identify individuals (not just credentials or badges) in a given sensitive area and provide full time personnel accountability. One approach desirable at Department of Energy facilities for access control and/or personnel identification is an Intelligent Facial Recognition System (IFRS) that is non-invasive to personnel. Automatic facial recognition does not require the active participation of the enrolled subjects, unlike most other biological measurement (biometric) systems (e.g.,more » fingerprint, hand geometry, or eye retinal scan systems). It is this feature that makes an IFRS attractive for applications other than access control such as emergency evacuation verification, screening, and personnel tracking. This paper discusses current technology that shows promising results for DOE and other security applications. A survey of research and development in facial recognition identified several companies and universities that were interested and/or involved in the area. A few advanced prototype systems were also identified. Sandia National Laboratories is currently evaluating facial recognition systems that are in the advanced prototype stage. The initial application for the evaluation is access control in a controlled environment with a constant background and with cooperative subjects. Further evaluations will be conducted in a less controlled environment, which may include a cluttered background and subjects that are not looking towards the camera. The outcome of the evaluations will help identify areas of facial recognition systems that need further development and will help to determine the effectiveness of the current systems for security applications.« less

  1. Design and development of an ancient Chinese document recognition system

    NASA Astrophysics Data System (ADS)

    Peng, Liangrui; Xiu, Pingping; Ding, Xiaoqing

    2003-12-01

    The digitization of ancient Chinese documents presents new challenges to OCR (Optical Character Recognition) research field due to the large character set of ancient Chinese characters, variant font types, and versatile document layout styles, as these documents are historical reflections to the thousands of years of Chinese civilization. After analyzing the general characteristics of ancient Chinese documents, we present a solution for recognition of ancient Chinese documents with regular font-types and layout-styles. Based on the previous work on multilingual OCR in TH-OCR system, we focus on the design and development of two key technologies which include character recognition and page segmentation. Experimental results show that the developed character recognition kernel of 19,635 Chinese characters outperforms our original traditional Chinese recognition kernel; Benchmarked test on printed ancient Chinese books proves that the proposed system is effective for regular ancient Chinese documents.

  2. Adamantane in Drug Delivery Systems and Surface Recognition.

    PubMed

    Štimac, Adela; Šekutor, Marina; Mlinarić-Majerski, Kata; Frkanec, Leo; Frkanec, Ruža

    2017-02-16

    The adamantane moiety is widely applied in design and synthesis of new drug delivery systems and in surface recognition studies. This review focuses on liposomes, cyclodextrins, and dendrimers based on or incorporating adamantane derivatives. Our recent concept of adamantane as an anchor in the lipid bilayer of liposomes has promising applications in the field of targeted drug delivery and surface recognition. The results reported here encourage the development of novel adamantane-based structures and self-assembled supramolecular systems for basic chemical investigations as well as for biomedical application.

  3. Pencil grasp and children's handwriting legibility during different-length writing tasks.

    PubMed

    Dennis, J L; Swinth, Y

    2001-01-01

    This study examined the influence ofpencil grasp on handwriting legibility during both short and long writing tasks in 46fourth-grade students who were typically developing. Matched samples were used to controlfor variability. Regular classroom writing assignments were scoredfor word and letter legibility, and scores were compared using a mixed repeated-measures analysis of variance design. The two independent variables were pencil grasp (dynamic tripod grasp vs. atypical grasp) and task length (short vs. long). A significant difference was found between the letter legibility scores on the short task and the letter legibility scores on the long task. Students' legibility was greater on the short task than on the long task across both grasp conditions. No significant difference was found in scores between students who used dynamic tripod grasps and those who used atypical grasps, nor was there a significant interaction between grasp and task length. No significant differences were found between word legibility scores. The results indicate that although the students in this study wrote more legibly on the short task than on the long task, the type of grasp they used did not affect their legibility. Because of the limited sample size, the results of this study should be interpreted cautiously. More research in handwriting performance and pencil grasp is needed to provide clear expectations and treatment options for students.

  4. An Evaluation of PC-Based Optical Character Recognition Systems.

    ERIC Educational Resources Information Center

    Schreier, E. M.; Uslan, M. M.

    1991-01-01

    The review examines six personal computer-based optical character recognition (OCR) systems designed for use by blind and visually impaired people. Considered are OCR components and terms, documentation, scanning and reading, command structure, conversion, unique features, accuracy of recognition, scanning time, speed, and cost. (DB)

  5. The Effects of Handwriting Instruction on Reading for Students in Grades 1 and 2

    ERIC Educational Resources Information Center

    Stroik, Linda R.

    2016-01-01

    The purpose of this quantitative quasi-experimental group comparison study using a repeated measures comparison group design with random assignment of subjects to groups was to investigate the effects of handwriting instruction on reading progress for learners in grade 1 and grade 2. At three points in time, the number of words each student read…

  6. Experiences of handwriting and using a computerized ATD in school: adolescents with Asperger's syndrome.

    PubMed

    Breivik, Ingrid; Hemmingsson, Helena

    2013-09-01

    Adolescents with Asperger's syndrome (AS), often have handwriting difficulties that affect their academic performance. The purpose of this descriptive multiple-case mixed-method study was to highlight how adolescents with AS experience writing in the school setting when writing by hand and when using a computerized Assistive Technology Device (ATD), for writing. A qualitative content analysis approach was used, including interviews with five adolescents, their parents, and their teachers. This was complemented by asking the adolescents to rate their perceived performance and satisfaction of writing with and without the ATD. All adolescents described handwriting difficulties, but a reduced ability to express oneself in writing was also common. Initiating and completing writing tasks was often so demanding that it caused resistance to the activity. Several advantages when using the ATD were described by the participants and the self-ratings showed higher scores for performance of and satisfaction with writing when the ATD was used. The results show that teachers' encouragement seemed to be important for the initiation and continuation of use of the ATD.

  7. Relationships between Fine-Motor, Visual-Motor, and Visual Perception Scores and Handwriting Legibility and Speed

    ERIC Educational Resources Information Center

    Klein, Sheryl; Guiltner, Val; Sollereder, Patti; Cui, Ying

    2011-01-01

    Occupational therapists assess fine motor, visual motor, visual perception, and visual skill development, but knowledge of the relationships between scores on sensorimotor performance measures and handwriting legibility and speed is limited. Ninety-nine students in grades three to six with learning and/or behavior problems completed the Upper-Limb…

  8. Exhibits Recognition System for Combining Online Services and Offline Services

    NASA Astrophysics Data System (ADS)

    Ma, He; Liu, Jianbo; Zhang, Yuan; Wu, Xiaoyu

    2017-10-01

    In order to achieve a more convenient and accurate digital museum navigation, we have developed a real-time and online-to-offline museum exhibits recognition system using image recognition method based on deep learning. In this paper, the client and server of the system are separated and connected through the HTTP. Firstly, by using the client app in the Android mobile phone, the user can take pictures and upload them to the server. Secondly, the features of the picture are extracted using the deep learning network in the server. With the help of the features, the pictures user uploaded are classified with a well-trained SVM. Finally, the classification results are sent to the client and the detailed exhibition’s introduction corresponding to the classification results are shown in the client app. Experimental results demonstrate that the recognition accuracy is close to 100% and the computing time from the image uploading to the exhibit information show is less than 1S. By means of exhibition image recognition algorithm, our implemented exhibits recognition system can combine online detailed exhibition information to the user in the offline exhibition hall so as to achieve better digital navigation.

  9. Speech recognition systems on the Cell Broadband Engine

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Liu, Y; Jones, H; Vaidya, S

    In this paper we describe our design, implementation, and first results of a prototype connected-phoneme-based speech recognition system on the Cell Broadband Engine{trademark} (Cell/B.E.). Automatic speech recognition decodes speech samples into plain text (other representations are possible) and must process samples at real-time rates. Fortunately, the computational tasks involved in this pipeline are highly data-parallel and can receive significant hardware acceleration from vector-streaming architectures such as the Cell/B.E. Identifying and exploiting these parallelism opportunities is challenging, but also critical to improving system performance. We observed, from our initial performance timings, that a single Cell/B.E. processor can recognize speech from thousandsmore » of simultaneous voice channels in real time--a channel density that is orders-of-magnitude greater than the capacity of existing software speech recognizers based on CPUs (central processing units). This result emphasizes the potential for Cell/B.E.-based speech recognition and will likely lead to the future development of production speech systems using Cell/B.E. clusters.« less

  10. Handwriting individualization using distance and rarity

    NASA Astrophysics Data System (ADS)

    Tang, Yi; Srihari, Sargur; Srinivasan, Harish

    2012-01-01

    Forensic individualization is the task of associating observed evidence with a specific source. The likelihood ratio (LR) is a quantitative measure that expresses the degree of uncertainty in individualization, where the numerator represents the likelihood that the evidence corresponds to the known and the denominator the likelihood that it does not correspond to the known. Since the number of parameters needed to compute the LR is exponential with the number of feature measurements, a commonly used simplification is the use of likelihoods based on distance (or similarity) given the two alternative hypotheses. This paper proposes an intermediate method which decomposes the LR as the product of two factors, one based on distance and the other on rarity. It was evaluated using a data set of handwriting samples, by determining whether two writing samples were written by the same/different writer(s). The accuracy of the distance and rarity method, as measured by error rates, is significantly better than the distance method.

  11. A Fault Recognition System for Gearboxes of Wind Turbines

    NASA Astrophysics Data System (ADS)

    Yang, Zhiling; Huang, Haiyue; Yin, Zidong

    2017-12-01

    Costs of maintenance and loss of power generation caused by the faults of wind turbines gearboxes are the main components of operation costs for a wind farm. Therefore, the technology of condition monitoring and fault recognition for wind turbines gearboxes is becoming a hot topic. A condition monitoring and fault recognition system (CMFRS) is presented for CBM of wind turbines gearboxes in this paper. The vibration signals from acceleration sensors at different locations of gearbox and the data from supervisory control and data acquisition (SCADA) system are collected to CMFRS. Then the feature extraction and optimization algorithm is applied to these operational data. Furthermore, to recognize the fault of gearboxes, the GSO-LSSVR algorithm is proposed, combining the least squares support vector regression machine (LSSVR) with the Glowworm Swarm Optimization (GSO) algorithm. Finally, the results show that the fault recognition system used in this paper has a high rate for identifying three states of wind turbines’ gears; besides, the combination of date features can affect the identifying rate and the selection optimization algorithm presented in this paper can get a pretty good date feature subset for the fault recognition.

  12. Spoof Detection for Finger-Vein Recognition System Using NIR Camera.

    PubMed

    Nguyen, Dat Tien; Yoon, Hyo Sik; Pham, Tuyen Danh; Park, Kang Ryoung

    2017-10-01

    Finger-vein recognition, a new and advanced biometrics recognition method, is attracting the attention of researchers because of its advantages such as high recognition performance and lesser likelihood of theft and inaccuracies occurring on account of skin condition defects. However, as reported by previous researchers, it is possible to attack a finger-vein recognition system by using presentation attack (fake) finger-vein images. As a result, spoof detection, named as presentation attack detection (PAD), is necessary in such recognition systems. Previous attempts to establish PAD methods primarily focused on designing feature extractors by hand (handcrafted feature extractor) based on the observations of the researchers about the difference between real (live) and presentation attack finger-vein images. Therefore, the detection performance was limited. Recently, the deep learning framework has been successfully applied in computer vision and delivered superior results compared to traditional handcrafted methods on various computer vision applications such as image-based face recognition, gender recognition and image classification. In this paper, we propose a PAD method for near-infrared (NIR) camera-based finger-vein recognition system using convolutional neural network (CNN) to enhance the detection ability of previous handcrafted methods. Using the CNN method, we can derive a more suitable feature extractor for PAD than the other handcrafted methods using a training procedure. We further process the extracted image features to enhance the presentation attack finger-vein image detection ability of the CNN method using principal component analysis method (PCA) for dimensionality reduction of feature space and support vector machine (SVM) for classification. Through extensive experimental results, we confirm that our proposed method is adequate for presentation attack finger-vein image detection and it can deliver superior detection results compared to CNN

  13. Spoof Detection for Finger-Vein Recognition System Using NIR Camera

    PubMed Central

    Nguyen, Dat Tien; Yoon, Hyo Sik; Pham, Tuyen Danh; Park, Kang Ryoung

    2017-01-01

    Finger-vein recognition, a new and advanced biometrics recognition method, is attracting the attention of researchers because of its advantages such as high recognition performance and lesser likelihood of theft and inaccuracies occurring on account of skin condition defects. However, as reported by previous researchers, it is possible to attack a finger-vein recognition system by using presentation attack (fake) finger-vein images. As a result, spoof detection, named as presentation attack detection (PAD), is necessary in such recognition systems. Previous attempts to establish PAD methods primarily focused on designing feature extractors by hand (handcrafted feature extractor) based on the observations of the researchers about the difference between real (live) and presentation attack finger-vein images. Therefore, the detection performance was limited. Recently, the deep learning framework has been successfully applied in computer vision and delivered superior results compared to traditional handcrafted methods on various computer vision applications such as image-based face recognition, gender recognition and image classification. In this paper, we propose a PAD method for near-infrared (NIR) camera-based finger-vein recognition system using convolutional neural network (CNN) to enhance the detection ability of previous handcrafted methods. Using the CNN method, we can derive a more suitable feature extractor for PAD than the other handcrafted methods using a training procedure. We further process the extracted image features to enhance the presentation attack finger-vein image detection ability of the CNN method using principal component analysis method (PCA) for dimensionality reduction of feature space and support vector machine (SVM) for classification. Through extensive experimental results, we confirm that our proposed method is adequate for presentation attack finger-vein image detection and it can deliver superior detection results compared to CNN

  14. Improving the recognition of fingerprint biometric system using enhanced image fusion

    NASA Astrophysics Data System (ADS)

    Alsharif, Salim; El-Saba, Aed; Stripathi, Reshma

    2010-04-01

    Fingerprints recognition systems have been widely used by financial institutions, law enforcement, border control, visa issuing, just to mention few. Biometric identifiers can be counterfeited, but considered more reliable and secure compared to traditional ID cards or personal passwords methods. Fingerprint pattern fusion improves the performance of a fingerprint recognition system in terms of accuracy and security. This paper presents digital enhancement and fusion approaches that improve the biometric of the fingerprint recognition system. It is a two-step approach. In the first step raw fingerprint images are enhanced using high-frequency-emphasis filtering (HFEF). The second step is a simple linear fusion process between the raw images and the HFEF ones. It is shown that the proposed approach increases the verification and identification of the fingerprint biometric recognition system, where any improvement is justified using the correlation performance metrics of the matching algorithm.

  15. Kinematic and Pressure Features of Handwriting and Drawing: Preliminary Results Between Patients with Mild Cognitive Impairment, Alzheimer Disease and Healthy Controls

    PubMed Central

    Garre-Olmo, Josep; Faúndez-Zanuy, Marcos; López-de-Ipiña, Karmele; Calvó-Perxas, Laia; Turró-Garriga, Oriol

    2017-01-01

    Background: Alzheimer’s disease (AD) is the most common neurodegenerative dementia of old age, and the leading chronic disease contributor to disability and dependence among older people worldwide. Clinically, AD is characterized by a progressive cognitive decline that interferes with the abil-ity to perform the activities of daily living. Handwriting and drawing are complex human activities that entail an intricate blend of cognitive, kinesthetic, and perceptual-motor features. Objective: To compare the kinematic characteristics of handwriting and drawing between patients with AD, patients with mild cognitive impairment (MCI) and healthy controls. Methods: We used a cross-sectional and observational design to assess the kinematic and pressure fea-tures of handwriting and drawing using a computerized system. Participants were asked to copy one sen-tence, write a dictated sentence and an own sentence, copy two and-three dimensions drawings, and to execute the clock drawing test. By means of discriminant analyses, we explored the value of several kin-ematic features in order to classify participants depending on their degree of cognitive functioning. Results: The sample consisted of 52 participants (23 AD, 12 MCI, and 17 healthy controls) with a mean age of 69.7 years (SD=8.11). The degree of correct classification was largely dependent on the nature of the groups to be classified and the specific task, and ranged between 63.5% and 100%. Diagnostic accu-racy based on kinematic measures showed higher specificity values for distinguishing between normal and impaired cognition (MCI and AD), and higher sensitivity was obtained when distinguishing between impaired cognition levels (MCI vs. AD). Conclusion: The kinematic features of writing and drawing procedures, rather than the final product, may be a useful and objective complement to the clinical assessment of patients with cognitive impairment. PMID:28290244

  16. Kinematic and Pressure Features of Handwriting and Drawing: Preliminary Results Between Patients with Mild Cognitive Impairment, Alzheimer Disease and Healthy Controls.

    PubMed

    Garre-Olmo, Josep; Faúndez-Zanuy, Marcos; López-de-Ipiña, Karmele; Calvó-Perxas, Laia; Turró-Garriga, Oriol

    2017-01-01

    Alzheimer's disease (AD) is the most common neurodegenerative dementia of old age, and the leading chronic disease contributor to disability and dependence among older people worldwide. Clinically, AD is characterized by a progressive cognitive decline that interferes with the ability to perform the activities of daily living. Handwriting and drawing are complex human activities that entail an intricate blend of cognitive, kinesthetic, and perceptual-motor features. To compare the kinematic characteristics of handwriting and drawing between patients with AD, patients with mild cognitive impairment (MCI) and healthy controls. We used a cross-sectional and observational design to assess the kinematic and pressure features of handwriting and drawing using a computerized system. Participants were asked to copy one sentence, write a dictated sentence and an own sentence, copy two and-three dimensions drawings, and to execute the clock drawing test. By means of discriminant analyses, we explored the value of several kinematic features in order to classify participants depending on their degree of cognitive functioning. The sample consisted of 52 participants (23 AD, 12 MCI, and 17 healthy controls) with a mean age of 69.7 years (SD=8.11). The degree of correct classification was largely dependent on the nature of the groups to be classified and the specific task, and ranged between 63.5% and 100%. Diagnostic accuracy based on kinematic measures showed higher specificity values for distinguishing between normal and impaired cognition (MCI and AD), and higher sensitivity was obtained when distinguishing between impaired cognition levels (MCI vs. AD). The kinematic features of writing and drawing procedures, rather than the final product, may be a useful and objective complement to the clinical assessment of patients with cognitive impairment. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.org.

  17. Clonal Selection Based Artificial Immune System for Generalized Pattern Recognition

    NASA Technical Reports Server (NTRS)

    Huntsberger, Terry

    2011-01-01

    The last two decades has seen a rapid increase in the application of AIS (Artificial Immune Systems) modeled after the human immune system to a wide range of areas including network intrusion detection, job shop scheduling, classification, pattern recognition, and robot control. JPL (Jet Propulsion Laboratory) has developed an integrated pattern recognition/classification system called AISLE (Artificial Immune System for Learning and Exploration) based on biologically inspired models of B-cell dynamics in the immune system. When used for unsupervised or supervised classification, the method scales linearly with the number of dimensions, has performance that is relatively independent of the total size of the dataset, and has been shown to perform as well as traditional clustering methods. When used for pattern recognition, the method efficiently isolates the appropriate matches in the data set. The paper presents the underlying structure of AISLE and the results from a number of experimental studies.

  18. Localization and recognition of traffic signs for automated vehicle control systems

    NASA Astrophysics Data System (ADS)

    Zadeh, Mahmoud M.; Kasvand, T.; Suen, Ching Y.

    1998-01-01

    We present a computer vision system for detection and recognition of traffic signs. Such systems are required to assist drivers and for guidance and control of autonomous vehicles on roads and city streets. For experiments we use sequences of digitized photographs and off-line analysis. The system contains four stages. First, region segmentation based on color pixel classification called SRSM. SRSM limits the search to regions of interest in the scene. Second, we use edge tracing to find parts of outer edges of signs which are circular or straight, corresponding to the geometrical shapes of traffic signs. The third step is geometrical analysis of the outer edge and preliminary recognition of each candidate region, which may be a potential traffic sign. The final step in recognition uses color combinations within each region and model matching. This system maybe used for recognition of other types of objects, provided that the geometrical shape and color content remain reasonably constant. The method is reliable, easy to implement, and fast, This differs form the road signs recognition method in the PROMETEUS. The overall structure of the approach is sketched.

  19. Parents' perspectives on a collaborative approach to the application of the Handwriting Without Tears(®) programme with children with Down syndrome.

    PubMed

    Patton, Sandra; Hutton, Eve

    2016-08-01

    The active involvement of parents and children in goal setting and intervention is integral to contemporary occupational therapy process models. However, parental perspectives on collaborative handwriting intervention are limited. This paper presents parental perspectives on a three-way collaboration involving teachers, parents and an occupational therapist in the application of Handwriting Without Tears(®) (HWT(®) ) with children with Down syndrome. Within a larger mixed methods study, 44 parents completed purpose-designed questionnaires and six parents participated in a focus group, post 8 months of programme implementation. Both methods gathered parent's perspectives on the usefulness and limitations of applying HWT(®) . The focus group explored collaboration in depth. Analysis involved triangulation of data from descriptive analysis of numerical data with content analysis of open-ended questions and focus group data. Enablers of parent-child engagement in HWT(®) were identified as; the parent-child-friendly aspects of HWT(®) , the teacher involvement ensuring continuity which eased demands on parents, the ongoing support/guidance of the occupational therapist and the child's involvement in HWT(®) group intervention. The occupational therapists' involvement was reported as essential to encouraging teacher/parent involvement. Barriers to child-parent engagement included fluctuations in child health, mood, attention span and time limitations including the child's involvement in other therapy programmes. Parents perceived the HWT(®) and the three-way collaborative approach as enabling active parent-child engagement in handwriting intervention. This approach warrants further investigation. Findings have the potential to inform practice guidelines and pre- and post-graduation education related to collaborative handwriting intervention with children with Down syndrome and their families. © 2016 Occupational Therapy Australia.

  20. Speaker-dependent Multipitch Tracking Using Deep Neural Networks

    DTIC Science & Technology

    2015-01-01

    connections through time. Studies have shown that RNNs are good at modeling sequential data like handwriting [12] and speech [26]. We plan to explore RNNs in...Schmidhuber, and S. Fernández, “Unconstrained on-line handwriting recognition with recurrent neural networks,” in Proceedings of NIPS, 2008, pp. 577–584. [13

  1. Detection of trace ink compounds in erased handwritings using electrospray-assisted laser desorption ionization mass spectrometry.

    PubMed

    Kao, Yi-Ying; Cheng, Sy-Chyi; Cheng, Chu-Nian; Shiea, Jentaie; Ho, Hsiu-O

    2014-06-01

    Writings made with erasable pens on paper surfaces can either be rubbed off with an eraser or rendered invisible by changing the temperature of the ink. However, trace ink compounds still remain in the paper fibers even after rubbing or rendering. The detection of these ink compounds from erased handwritings will be helpful in knowing the written history of the paper. In this study, electrospray-assisted laser desorption ionization/mass spectrometry was used to characterize trace ink compounds remaining in visible and invisible ink lines. The ink compounds were desorbed from the paper surface by irradiating the handwritings with a pulsed laser beam; the desorbed analytes were subsequently ionized in an electrospray plume and detected by a quadrupole time-of-flight mass spectrometry mass analyzer. Because of the high spatial resolution of the laser beam, electrospray-assisted laser desorption ionization/mass spectrometry analysis resulted in minimal damage to the sample documents. Copyright © 2014 John Wiley & Sons, Ltd.

  2. Motorcycle Start-stop System based on Intelligent Biometric Voice Recognition

    NASA Astrophysics Data System (ADS)

    Winda, A.; E Byan, W. R.; Sofyan; Armansyah; Zariantin, D. L.; Josep, B. G.

    2017-03-01

    Current mechanical key in the motorcycle is prone to bulgary, being stolen or misplaced. Intelligent biometric voice recognition as means to replace this mechanism is proposed as an alternative. The proposed system will decide whether the voice is belong to the user or not and the word utter by the user is ‘On’ or ‘Off’. The decision voice will be sent to Arduino in order to start or stop the engine. The recorded voice is processed in order to get some features which later be used as input to the proposed system. The Mel-Frequency Ceptral Coefficient (MFCC) is adopted as a feature extraction technique. The extracted feature is the used as input to the SVM-based identifier. Experimental results confirm the effectiveness of the proposed intelligent voice recognition and word recognition system. It show that the proposed method produces a good training and testing accuracy, 99.31% and 99.43%, respectively. Moreover, the proposed system shows the performance of false rejection rate (FRR) and false acceptance rate (FAR) accuracy of 0.18% and 17.58%, respectively. In the intelligent word recognition shows that the training and testing accuracy are 100% and 96.3%, respectively.

  3. Evaluation of a voice recognition system for the MOTAS pseudo pilot station function

    NASA Technical Reports Server (NTRS)

    Houck, J. A.

    1982-01-01

    The Langley Research Center has undertaken a technology development activity to provide a capability, the mission oriented terminal area simulation (MOTAS), wherein terminal area and aircraft systems studies can be performed. An experiment was conducted to evaluate state-of-the-art voice recognition technology and specifically, the Threshold 600 voice recognition system to serve as an aircraft control input device for the MOTAS pseudo pilot station function. The results of the experiment using ten subjects showed a recognition error of 3.67 percent for a 48-word vocabulary tested against a programmed vocabulary of 103 words. After the ten subjects retrained the Threshold 600 system for the words which were misrecognized or rejected, the recognition error decreased to 1.96 percent. The rejection rates for both cases were less than 0.70 percent. Based on the results of the experiment, voice recognition technology and specifically the Threshold 600 voice recognition system were chosen to fulfill this MOTAS function.

  4. On Assisting a Visual-Facial Affect Recognition System with Keyboard-Stroke Pattern Information

    NASA Astrophysics Data System (ADS)

    Stathopoulou, I.-O.; Alepis, E.; Tsihrintzis, G. A.; Virvou, M.

    Towards realizing a multimodal affect recognition system, we are considering the advantages of assisting a visual-facial expression recognition system with keyboard-stroke pattern information. Our work is based on the assumption that the visual-facial and keyboard modalities are complementary to each other and that their combination can significantly improve the accuracy in affective user models. Specifically, we present and discuss the development and evaluation process of two corresponding affect recognition subsystems, with emphasis on the recognition of 6 basic emotional states, namely happiness, sadness, surprise, anger and disgust as well as the emotion-less state which we refer to as neutral. We find that emotion recognition by the visual-facial modality can be aided greatly by keyboard-stroke pattern information and the combination of the two modalities can lead to better results towards building a multimodal affect recognition system.

  5. Face recognition system and method using face pattern words and face pattern bytes

    DOEpatents

    Zheng, Yufeng

    2014-12-23

    The present invention provides a novel system and method for identifying individuals and for face recognition utilizing facial features for face identification. The system and method of the invention comprise creating facial features or face patterns called face pattern words and face pattern bytes for face identification. The invention also provides for pattern recognitions for identification other than face recognition. The invention further provides a means for identifying individuals based on visible and/or thermal images of those individuals by utilizing computer software implemented by instructions on a computer or computer system and a computer readable medium containing instructions on a computer system for face recognition and identification.

  6. An automatic target recognition system based on SAR image

    NASA Astrophysics Data System (ADS)

    Li, Qinfu; Wang, Jinquan; Zhao, Bo; Luo, Furen; Xu, Xiaojian

    2009-10-01

    In this paper, an automatic target recognition (ATR) system based on synthetic aperture radar (SAR) is proposed. This ATR system can play an important role in the simulation of up-to-data battlefield environment and be used in ATR research. To establish an integral and available system, the processing of SAR image was divided into four main stages which are de-noise, detection, cluster-discrimination and segment-recognition, respectively. The first three stages are used for searching region of interest (ROI). Once the ROIs are extracted, the recognition stage will be taken to compute the similarity between the ROIs and the templates in the electromagnetic simulation software National Electromagnetic Scattering Code (NESC). Due to the lack of the SAR raw data, the electromagnetic simulated images are added to the measured SAR background to simulate the battlefield environment8. The purpose of the system is to find the ROIs which can be the artificial military targets such as tanks, armored cars and so on and to categorize the ROIs into the right classes according to the existing templates. From the results we can see that the proposed system achieves a satisfactory result.

  7. The role of size of input box, location of input box, input method and display size in Chinese handwriting performance and preference on mobile devices.

    PubMed

    Chen, Zhe; Rau, Pei-Luen Patrick

    2017-03-01

    This study presented two experiments on Chinese handwriting performance (time, accuracy, the number of protruding strokes and number of rewritings) and subjective ratings (mental workload, satisfaction, and preference) on mobile devices. Experiment 1 evaluated the effects of size of the input box, input method and display size on Chinese handwriting performance and preference. It was indicated that the optimal input sizes were 30.8 × 30.8 mm, 46.6 × 46.6 mm, 58.9 × 58.9 mm and 84.6 × 84.6 mm for devices with 3.5-inch, 5.5-inch, 7.0-inch and 9.7-inch display sizes, respectively. Experiment 2 proved the significant effects of location of the input box, input method and display size on Chinese handwriting performance and subjective ratings. It was suggested that the optimal location was central regardless of display size and input method. Copyright © 2016 Elsevier Ltd. All rights reserved.

  8. Analogy of Lower and Capital Letters of Vertical and Italic Handwriting in First Grade Literacy

    ERIC Educational Resources Information Center

    Turan, Mehmet

    2010-01-01

    This study has been carried out in order to determine the status of the analogy drawn with the capital and lower letters in vertical and italic handwriting by teachers working in the first grade classes of primary schools. The research has been conducted on 151 first grade teachers working in Turkey. The data was acquired by means of a…

  9. A Limited-Vocabulary, Multi-Speaker Automatic Isolated Word Recognition System.

    ERIC Educational Resources Information Center

    Paul, James E., Jr.

    Techniques for automatic recognition of isolated words are investigated, and a computer simulation of a word recognition system is effected. Considered in detail are data acquisition and digitizing, word detection, amplitude and time normalization, short-time spectral estimation including spectral windowing, spectral envelope approximation,…

  10. Robot Command Interface Using an Audio-Visual Speech Recognition System

    NASA Astrophysics Data System (ADS)

    Ceballos, Alexánder; Gómez, Juan; Prieto, Flavio; Redarce, Tanneguy

    In recent years audio-visual speech recognition has emerged as an active field of research thanks to advances in pattern recognition, signal processing and machine vision. Its ultimate goal is to allow human-computer communication using voice, taking into account the visual information contained in the audio-visual speech signal. This document presents a command's automatic recognition system using audio-visual information. The system is expected to control the laparoscopic robot da Vinci. The audio signal is treated using the Mel Frequency Cepstral Coefficients parametrization method. Besides, features based on the points that define the mouth's outer contour according to the MPEG-4 standard are used in order to extract the visual speech information.

  11. A Support System for the Electric Appliance Control Using Pose Recognition

    NASA Astrophysics Data System (ADS)

    Kawano, Takuya; Yamamoto, Kazuhiko; Kato, Kunihito; Hongo, Hitoshi

    In this paper, we propose an electric appliance control support system for aged and bedridden people using pose recognition. We proposed a pose recognition system that distinguishes between seven poses of the user on the bed. First, the face and arm regions of the user are detected by using the skin color. Our system focuses a recognition region surrounding the face region. Next, the higher order local autocorrelation features within the region are extracted. The linear discriminant analysis creates the coefficient matrix that can optimally distinguish among training data from the seven poses. Our algorithm can recognize the seven poses even if the subject wears different clothes and slightly shifts or slants on the bed. From the experimental results, our system achieved an accuracy rate of over 99 %. Then, we show that it possibles to construct one of a user-friendly system.

  12. Propagating Molecular Recognition Events through Highly Integrated Sense-Response Chemical Systems

    DTIC Science & Technology

    2017-08-01

    Propagating Molecular Recognition Events through Highly Integrated Sense-Response Chemical Systems The views, opinions and/or findings contained in...University of California - San Diego Title: Propagating Molecular Recognition Events through Highly Integrated Sense-Response Chemical Systems Report Term...including enzymatic reactions , occurring at the aqueous interfaces of thermotropic LCs show promise as the basis of biomolecular triggers of LC

  13. Employing Handwriting without Tears® to Teach a 4-Year-Old Preschool Student to Write His Name with the Appropriate Size, Shape, and Form Combined with an Imitate/Trace/Copy/Memory Procedure

    ERIC Educational Resources Information Center

    Steele, Emalia C.; McLaughlin, Thomas; Derby, K. Mark; Weber, Kimberly P.; Donica, Denise K.; McKenzie, Michelle

    2015-01-01

    The main purpose of this study was to evaluate the effectiveness of the prewriting and handwriting curriculum Handwriting Without Tears® (HWT) in a preschool setting with a single student who has developmental delays and a suspected Autism Spectrum Disorder (ASD) diagnosis. Data were collected during the regular preschool day. The behavior…

  14. Handwriting Examination: Moving from Art to Science

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Jarman, K.H.; Hanlen, R.C.; Manzolillo, P.A.

    In this document, we present a method for validating the premises and methodology of forensic handwriting examination. This method is intuitively appealing because it relies on quantitative measurements currently used qualitatively by FDE's in making comparisons, and it is scientifically rigorous because it exploits the power of multivariate statistical analysis. This approach uses measures of both central tendency and variation to construct a profile for a given individual. (Central tendency and variation are important for characterizing an individual's writing and both are currently used by FDE's in comparative analyses). Once constructed, different profiles are then compared for individuality using clustermore » analysis; they are grouped so that profiles within a group cannot be differentiated from one another based on the measured characteristics, whereas profiles between groups can. The cluster analysis procedure used here exploits the power of multivariate hypothesis testing. The result is not only a profile grouping but also an indication of statistical significance of the groups generated.« less

  15. Implementation study of wearable sensors for activity recognition systems.

    PubMed

    Rezaie, Hamed; Ghassemian, Mona

    2015-08-01

    This Letter investigates and reports on a number of activity recognition methods for a wearable sensor system. The authors apply three methods for data transmission, namely 'stream-based', 'feature-based' and 'threshold-based' scenarios to study the accuracy against energy efficiency of transmission and processing power that affects the mote's battery lifetime. They also report on the impact of variation of sampling frequency and data transmission rate on energy consumption of motes for each method. This study leads us to propose a cross-layer optimisation of an activity recognition system for provisioning acceptable levels of accuracy and energy efficiency.

  16. A Comparison of the Handwriting Abilities of Secondary Students with Visual Impairments and Those of Sighted Students

    ERIC Educational Resources Information Center

    Harris-Brown, Talitha; Richmond, Janet; Maddalena, Sebastian Della; Jaworski, Alinta

    2015-01-01

    Despite the large number of people with visual impairments in Australia, all Western Australian secondary students are required to complete their secondary exams using handwriting, unless they qualify for special provisions. Students with visual impairments do not necessarily qualify for special provisions on the basis of their visual impairment…

  17. A Longitudinal Study of Handwriting Skills in Pre-Schoolers: The Acquisition of Syllable Oriented Programming Strategies

    ERIC Educational Resources Information Center

    Soler Vilageliu, Olga; Kandel, Sonia

    2012-01-01

    Previous studies have shown the relevance of the syllable as a programming unit in handwriting production, both in adults and elementary school children. This longitudinal study focuses on the acquisition of writing skills in a group of preschoolers. It examines how and when the syllable structure of the word starts regulating motor programming in…

  18. [Research on Barrier-free Home Environment System Based on Speech Recognition].

    PubMed

    Zhu, Husheng; Yu, Hongliu; Shi, Ping; Fang, Youfang; Jian, Zhuo

    2015-10-01

    The number of people with physical disabilities is increasing year by year, and the trend of population aging is more and more serious. In order to improve the quality of the life, a control system of accessible home environment for the patients with serious disabilities was developed to control the home electrical devices with the voice of the patients. The control system includes a central control platform, a speech recognition module, a terminal operation module, etc. The system combines the speech recognition control technology and wireless information transmission technology with the embedded mobile computing technology, and interconnects the lamp, electronic locks, alarms, TV and other electrical devices in the home environment as a whole system through a wireless network node. The experimental results showed that speech recognition success rate was more than 84% in the home environment.

  19. Method for secure electronic voting system: face recognition based approach

    NASA Astrophysics Data System (ADS)

    Alim, M. Affan; Baig, Misbah M.; Mehboob, Shahzain; Naseem, Imran

    2017-06-01

    In this paper, we propose a framework for low cost secure electronic voting system based on face recognition. Essentially Local Binary Pattern (LBP) is used for face feature characterization in texture format followed by chi-square distribution is used for image classification. Two parallel systems are developed based on smart phone and web applications for face learning and verification modules. The proposed system has two tire security levels by using person ID followed by face verification. Essentially class specific threshold is associated for controlling the security level of face verification. Our system is evaluated three standard databases and one real home based database and achieve the satisfactory recognition accuracies. Consequently our propose system provides secure, hassle free voting system and less intrusive compare with other biometrics.

  20. Evaluation of accelerometer based multi-sensor versus single-sensor activity recognition systems.

    PubMed

    Gao, Lei; Bourke, A K; Nelson, John

    2014-06-01

    Physical activity has a positive impact on people's well-being and it had been shown to decrease the occurrence of chronic diseases in the older adult population. To date, a substantial amount of research studies exist, which focus on activity recognition using inertial sensors. Many of these studies adopt a single sensor approach and focus on proposing novel features combined with complex classifiers to improve the overall recognition accuracy. In addition, the implementation of the advanced feature extraction algorithms and the complex classifiers exceed the computing ability of most current wearable sensor platforms. This paper proposes a method to adopt multiple sensors on distributed body locations to overcome this problem. The objective of the proposed system is to achieve higher recognition accuracy with "light-weight" signal processing algorithms, which run on a distributed computing based sensor system comprised of computationally efficient nodes. For analysing and evaluating the multi-sensor system, eight subjects were recruited to perform eight normal scripted activities in different life scenarios, each repeated three times. Thus a total of 192 activities were recorded resulting in 864 separate annotated activity states. The methods for designing such a multi-sensor system required consideration of the following: signal pre-processing algorithms, sampling rate, feature selection and classifier selection. Each has been investigated and the most appropriate approach is selected to achieve a trade-off between recognition accuracy and computing execution time. A comparison of six different systems, which employ single or multiple sensors, is presented. The experimental results illustrate that the proposed multi-sensor system can achieve an overall recognition accuracy of 96.4% by adopting the mean and variance features, using the Decision Tree classifier. The results demonstrate that elaborate classifiers and feature sets are not required to achieve high

  1. Historical Analyses of Disordered Handwriting: Perspectives on Early 20th-Century Material From a German Psychiatric Hospital

    ERIC Educational Resources Information Center

    Schiegg, Markus; Thorpe, Deborah

    2017-01-01

    Handwritten texts carry significant information, extending beyond the meaning of their words. Modern neurology, for example, benefits from the interpretation of the graphic features of writing and drawing for the diagnosis and monitoring of diseases and disorders. This article examines how handwriting analysis can be used, and has been used…

  2. Euro Banknote Recognition System for Blind People.

    PubMed

    Dunai Dunai, Larisa; Chillarón Pérez, Mónica; Peris-Fajarnés, Guillermo; Lengua Lengua, Ismael

    2017-01-20

    This paper presents the development of a portable system with the aim of allowing blind people to detect and recognize Euro banknotes. The developed device is based on a Raspberry Pi electronic instrument and a Raspberry Pi camera, Pi NoIR (No Infrared filter) dotted with additional infrared light, which is embedded into a pair of sunglasses that permit blind and visually impaired people to independently handle Euro banknotes, especially when receiving their cash back when shopping. The banknote detection is based on the modified Viola and Jones algorithms, while the banknote value recognition relies on the Speed Up Robust Features (SURF) technique. The accuracies of banknote detection and banknote value recognition are 84% and 97.5%, respectively.

  3. A Single-System Account of the Relationship between Priming, Recognition, and Fluency

    ERIC Educational Resources Information Center

    Berry, Christopher J.; Shanks, David R.; Henson, Richard N. A.

    2008-01-01

    A single-system computational model of priming and recognition was applied to studies that have looked at the relationship between priming, recognition, and fluency in continuous identification paradigms. The model was applied to 3 findings that have been interpreted as evidence for a multiple-systems account: (a) priming can occur for items not…

  4. Implementation study of wearable sensors for activity recognition systems

    PubMed Central

    Ghassemian, Mona

    2015-01-01

    This Letter investigates and reports on a number of activity recognition methods for a wearable sensor system. The authors apply three methods for data transmission, namely ‘stream-based’, ‘feature-based’ and ‘threshold-based’ scenarios to study the accuracy against energy efficiency of transmission and processing power that affects the mote's battery lifetime. They also report on the impact of variation of sampling frequency and data transmission rate on energy consumption of motes for each method. This study leads us to propose a cross-layer optimisation of an activity recognition system for provisioning acceptable levels of accuracy and energy efficiency. PMID:26609413

  5. Interpreting Chicken-Scratch: Lexical Access for Handwritten Words

    PubMed Central

    Barnhart, Anthony S.; Goldinger, Stephen D.

    2014-01-01

    Handwritten word recognition is a field of study that has largely been neglected in the psychological literature, despite its prevalence in society. Whereas studies of spoken word recognition almost exclusively employ natural, human voices as stimuli, studies of visual word recognition use synthetic typefaces, thus simplifying the process of word recognition. The current study examined the effects of handwriting on a series of lexical variables thought to influence bottom-up and top-down processing, including word frequency, regularity, bidirectional consistency, and imageability. The results suggest that the natural physical ambiguity of handwritten stimuli forces a greater reliance on top-down processes, because almost all effects were magnified, relative to conditions with computer print. These findings suggest that processes of word perception naturally adapt to handwriting, compensating for physical ambiguity by increasing top-down feedback. PMID:20695708

  6. Facial recognition in education system

    NASA Astrophysics Data System (ADS)

    Krithika, L. B.; Venkatesh, K.; Rathore, S.; Kumar, M. Harish

    2017-11-01

    Human beings exploit emotions comprehensively for conveying messages and their resolution. Emotion detection and face recognition can provide an interface between the individuals and technologies. The most successful applications of recognition analysis are recognition of faces. Many different techniques have been used to recognize the facial expressions and emotion detection handle varying poses. In this paper, we approach an efficient method to recognize the facial expressions to track face points and distances. This can automatically identify observer face movements and face expression in image. This can capture different aspects of emotion and facial expressions.

  7. Extending the Capture Volume of an Iris Recognition System Using Wavefront Coding and Super-Resolution.

    PubMed

    Hsieh, Sheng-Hsun; Li, Yung-Hui; Tien, Chung-Hao; Chang, Chin-Chen

    2016-12-01

    Iris recognition has gained increasing popularity over the last few decades; however, the stand-off distance in a conventional iris recognition system is too short, which limits its application. In this paper, we propose a novel hardware-software hybrid method to increase the stand-off distance in an iris recognition system. When designing the system hardware, we use an optimized wavefront coding technique to extend the depth of field. To compensate for the blurring of the image caused by wavefront coding, on the software side, the proposed system uses a local patch-based super-resolution method to restore the blurred image to its clear version. The collaborative effect of the new hardware design and software post-processing showed great potential in our experiment. The experimental results showed that such improvement cannot be achieved by using a hardware-or software-only design. The proposed system can increase the capture volume of a conventional iris recognition system by three times and maintain the system's high recognition rate.

  8. Human-inspired sound environment recognition system for assistive vehicles

    NASA Astrophysics Data System (ADS)

    González Vidal, Eduardo; Fredes Zarricueta, Ernesto; Auat Cheein, Fernando

    2015-02-01

    Objective. The human auditory system acquires environmental information under sound stimuli faster than visual or touch systems, which in turn, allows for faster human responses to such stimuli. It also complements senses such as sight, where direct line-of-view is necessary to identify objects, in the environment recognition process. This work focuses on implementing human reaction to sound stimuli and environment recognition on assistive robotic devices, such as robotic wheelchairs or robotized cars. These vehicles need environment information to ensure safe navigation. Approach. In the field of environment recognition, range sensors (such as LiDAR and ultrasonic systems) and artificial vision devices are widely used; however, these sensors depend on environment constraints (such as lighting variability or color of objects), and sound can provide important information for the characterization of an environment. In this work, we propose a sound-based approach to enhance the environment recognition process, mainly for cases that compromise human integrity, according to the International Classification of Functioning (ICF). Our proposal is based on a neural network implementation that is able to classify up to 15 different environments, each selected according to the ICF considerations on environment factors in the community-based physical activities of people with disabilities. Main results. The accuracy rates in environment classification ranges from 84% to 93%. This classification is later used to constrain assistive vehicle navigation in order to protect the user during daily activities. This work also includes real-time outdoor experimentation (performed on an assistive vehicle) by seven volunteers with different disabilities (but without cognitive impairment and experienced in the use of wheelchairs), statistical validation, comparison with previously published work, and a discussion section where the pros and cons of our system are evaluated. Significance

  9. Human-inspired sound environment recognition system for assistive vehicles.

    PubMed

    Vidal, Eduardo González; Zarricueta, Ernesto Fredes; Cheein, Fernando Auat

    2015-02-01

    The human auditory system acquires environmental information under sound stimuli faster than visual or touch systems, which in turn, allows for faster human responses to such stimuli. It also complements senses such as sight, where direct line-of-view is necessary to identify objects, in the environment recognition process. This work focuses on implementing human reaction to sound stimuli and environment recognition on assistive robotic devices, such as robotic wheelchairs or robotized cars. These vehicles need environment information to ensure safe navigation. In the field of environment recognition, range sensors (such as LiDAR and ultrasonic systems) and artificial vision devices are widely used; however, these sensors depend on environment constraints (such as lighting variability or color of objects), and sound can provide important information for the characterization of an environment. In this work, we propose a sound-based approach to enhance the environment recognition process, mainly for cases that compromise human integrity, according to the International Classification of Functioning (ICF). Our proposal is based on a neural network implementation that is able to classify up to 15 different environments, each selected according to the ICF considerations on environment factors in the community-based physical activities of people with disabilities. The accuracy rates in environment classification ranges from 84% to 93%. This classification is later used to constrain assistive vehicle navigation in order to protect the user during daily activities. This work also includes real-time outdoor experimentation (performed on an assistive vehicle) by seven volunteers with different disabilities (but without cognitive impairment and experienced in the use of wheelchairs), statistical validation, comparison with previously published work, and a discussion section where the pros and cons of our system are evaluated. The proposed sound-based system is very efficient

  10. Vision-based obstacle recognition system for automated lawn mower robot development

    NASA Astrophysics Data System (ADS)

    Mohd Zin, Zalhan; Ibrahim, Ratnawati

    2011-06-01

    Digital image processing techniques (DIP) have been widely used in various types of application recently. Classification and recognition of a specific object using vision system require some challenging tasks in the field of image processing and artificial intelligence. The ability and efficiency of vision system to capture and process the images is very important for any intelligent system such as autonomous robot. This paper gives attention to the development of a vision system that could contribute to the development of an automated vision based lawn mower robot. The works involve on the implementation of DIP techniques to detect and recognize three different types of obstacles that usually exist on a football field. The focus was given on the study on different types and sizes of obstacles, the development of vision based obstacle recognition system and the evaluation of the system's performance. Image processing techniques such as image filtering, segmentation, enhancement and edge detection have been applied in the system. The results have shown that the developed system is able to detect and recognize various types of obstacles on a football field with recognition rate of more 80%.

  11. Privacy protection schemes for fingerprint recognition systems

    NASA Astrophysics Data System (ADS)

    Marasco, Emanuela; Cukic, Bojan

    2015-05-01

    The deployment of fingerprint recognition systems has always raised concerns related to personal privacy. A fingerprint is permanently associated with an individual and, generally, it cannot be reset if compromised in one application. Given that fingerprints are not a secret, potential misuses besides personal recognition represent privacy threats and may lead to public distrust. Privacy mechanisms control access to personal information and limit the likelihood of intrusions. In this paper, image- and feature-level schemes for privacy protection in fingerprint recognition systems are reviewed. Storing only key features of a biometric signature can reduce the likelihood of biometric data being used for unintended purposes. In biometric cryptosystems and biometric-based key release, the biometric component verifies the identity of the user, while the cryptographic key protects the communication channel. Transformation-based approaches only a transformed version of the original biometric signature is stored. Different applications can use different transforms. Matching is performed in the transformed domain which enable the preservation of low error rates. Since such templates do not reveal information about individuals, they are referred to as cancelable templates. A compromised template can be re-issued using a different transform. At image-level, de-identification schemes can remove identifiers disclosed for objectives unrelated to the original purpose, while permitting other authorized uses of personal information. Fingerprint images can be de-identified by, for example, mixing fingerprints or removing gender signature. In both cases, degradation of matching performance is minimized.

  12. Euro Banknote Recognition System for Blind People

    PubMed Central

    Dunai Dunai, Larisa; Chillarón Pérez, Mónica; Peris-Fajarnés, Guillermo; Lengua Lengua, Ismael

    2017-01-01

    This paper presents the development of a portable system with the aim of allowing blind people to detect and recognize Euro banknotes. The developed device is based on a Raspberry Pi electronic instrument and a Raspberry Pi camera, Pi NoIR (No Infrared filter) dotted with additional infrared light, which is embedded into a pair of sunglasses that permit blind and visually impaired people to independently handle Euro banknotes, especially when receiving their cash back when shopping. The banknote detection is based on the modified Viola and Jones algorithms, while the banknote value recognition relies on the Speed Up Robust Features (SURF) technique. The accuracies of banknote detection and banknote value recognition are 84% and 97.5%, respectively. PMID:28117703

  13. Implementing an excellence in teaching recognition system: needs analysis and recommendations.

    PubMed

    Schindler, Nancy; Corcoran, Julia C; Miller, Megan; Wang, Chih-Hsiung; Roggin, Kevin; Posner, Mitchell; Fryer, Jonathan; DaRosa, Debra A

    2013-01-01

    Teaching awards have been suggested to serve a variety of purposes. The specific characteristics of teaching awards and the associated effectiveness at achieving planned purposes are poorly understood. A needs analysis was performed to inform recommendations for an Excellence in Teaching Recognition System to meet the needs of surgical education leadership. We performed a 2-part needs analysis beginning with a review of the literature. We then, developed, piloted, and administered a survey instrument to General Surgery program leaders. The survey examined the features and perceived effectiveness of existing teaching awards systems. A multi-institution committee of program directors, clerkship directors, and Vice-Chairs of education then met to identify goals and develop recommendations for implementation of an "Excellence in Teaching Recognition System." There is limited evidence demonstrating effectiveness of existing teaching awards in medical education. Evidence supports the ability of such awards to demonstrate value placed on teaching, to inspire faculty to teach, and to contribute to promotion. Survey findings indicate that existing awards strive to achieve these purposes and that educational leaders believe awards have the potential to do this and more. Leaders are moderately satisfied with existing awards for providing recognition and demonstrating value placed on teaching, but they are less satisfied with awards for motivating faculty to participate in teaching or for contributing to promotion. Most departments and institutions honor only a few recipients annually. There is a paucity of literature addressing teaching recognition systems in medical education and little evidence to support the success of such systems in achieving their intended purposes. The ability of awards to affect outcomes such as participation in teaching and promotion may be limited by the small number of recipients for most existing awards. We propose goals for a Teaching Recognition

  14. Contour matching for a fish recognition and migration-monitoring system

    NASA Astrophysics Data System (ADS)

    Lee, Dah-Jye; Schoenberger, Robert B.; Shiozawa, Dennis; Xu, Xiaoqian; Zhan, Pengcheng

    2004-12-01

    Fish migration is being monitored year round to provide valuable information for the study of behavioral responses of fish to environmental variations. However, currently all monitoring is done by human observers. An automatic fish recognition and migration monitoring system is more efficient and can provide more accurate data. Such a system includes automatic fish image acquisition, contour extraction, fish categorization, and data storage. Shape is a very important characteristic and shape analysis and shape matching are studied for fish recognition. Previous work focused on finding critical landmark points on fish shape using curvature function analysis. Fish recognition based on landmark points has shown satisfying results. However, the main difficulty of this approach is that landmark points sometimes cannot be located very accurately. Whole shape matching is used for fish recognition in this paper. Several shape descriptors, such as Fourier descriptors, polygon approximation and line segments, are tested. A power cepstrum technique has been developed in order to improve the categorization speed using contours represented in tangent space with normalized length. Design and integration including image acquisition, contour extraction and fish categorization are discussed in this paper. Fish categorization results based on shape analysis and shape matching are also included.

  15. Face recognition system for set-top box-based intelligent TV.

    PubMed

    Lee, Won Oh; Kim, Yeong Gon; Hong, Hyung Gil; Park, Kang Ryoung

    2014-11-18

    Despite the prevalence of smart TVs, many consumers continue to use conventional TVs with supplementary set-top boxes (STBs) because of the high cost of smart TVs. However, because the processing power of a STB is quite low, the smart TV functionalities that can be implemented in a STB are very limited. Because of this, negligible research has been conducted regarding face recognition for conventional TVs with supplementary STBs, even though many such studies have been conducted with smart TVs. In terms of camera sensors, previous face recognition systems have used high-resolution cameras, cameras with high magnification zoom lenses, or camera systems with panning and tilting devices that can be used for face recognition from various positions. However, these cameras and devices cannot be used in intelligent TV environments because of limitations related to size and cost, and only small, low cost web-cameras can be used. The resulting face recognition performance is degraded because of the limited resolution and quality levels of the images. Therefore, we propose a new face recognition system for intelligent TVs in order to overcome the limitations associated with low resource set-top box and low cost web-cameras. We implement the face recognition system using a software algorithm that does not require special devices or cameras. Our research has the following four novelties: first, the candidate regions in a viewer's face are detected in an image captured by a camera connected to the STB via low processing background subtraction and face color filtering; second, the detected candidate regions of face are transmitted to a server that has high processing power in order to detect face regions accurately; third, in-plane rotations of the face regions are compensated based on similarities between the left and right half sub-regions of the face regions; fourth, various poses of the viewer's face region are identified using five templates obtained during the initial user

  16. Research on gesture recognition of augmented reality maintenance guiding system based on improved SVM

    NASA Astrophysics Data System (ADS)

    Zhao, Shouwei; Zhang, Yong; Zhou, Bin; Ma, Dongxi

    2014-09-01

    Interaction is one of the key techniques of augmented reality (AR) maintenance guiding system. Because of the complexity of the maintenance guiding system's image background and the high dimensionality of gesture characteristics, the whole process of gesture recognition can be divided into three stages which are gesture segmentation, gesture characteristic feature modeling and trick recognition. In segmentation stage, for solving the misrecognition of skin-like region, a segmentation algorithm combing background mode and skin color to preclude some skin-like regions is adopted. In gesture characteristic feature modeling of image attributes stage, plenty of characteristic features are analyzed and acquired, such as structure characteristics, Hu invariant moments features and Fourier descriptor. In trick recognition stage, a classifier based on Support Vector Machine (SVM) is introduced into the augmented reality maintenance guiding process. SVM is a novel learning method based on statistical learning theory, processing academic foundation and excellent learning ability, having a lot of issues in machine learning area and special advantages in dealing with small samples, non-linear pattern recognition at high dimension. The gesture recognition of augmented reality maintenance guiding system is realized by SVM after the granulation of all the characteristic features. The experimental results of the simulation of number gesture recognition and its application in augmented reality maintenance guiding system show that the real-time performance and robustness of gesture recognition of AR maintenance guiding system can be greatly enhanced by improved SVM.

  17. Reading words, seeing style: the neuropsychology of word, font and handwriting perception.

    PubMed

    Barton, Jason J S; Sekunova, Alla; Sheldon, Claire; Johnston, Samantha; Iaria, Giuseppe; Scheel, Michael

    2010-11-01

    The reading of text is predominantly a left hemisphere function. However, it is also possible to process text for attributes other than word or letter identity, such as style of font or handwriting. Anecdotal observations have suggested that processing the latter may involve the right hemisphere. We devised a test that, using the identical stimuli, required subjects first to match on the basis of word identity and second to match on the basis of script style. We presented two versions, one using various computer fonts, and the other using the handwriting of different individuals. We tested four subjects with unilateral lesions who had been well characterized by neuropsychological testing and structural and/or functional MRI. We found that two prosopagnosic subjects with right lateral fusiform damage eliminating the fusiform face area and likely the right visual word form area were impaired in completion times and/or accuracy when sorting for script style, but performed better when sorting for word identity. In contrast, one alexic subject with left fusiform damage showed normal accuracy for sorting by script style and normal or mildly elevated completion times for sorting by style, but markedly prolonged reading times for sorting by word identity. A prosopagnosic subject with right medial occipitotemporal damage sparing areas in the lateral fusiform gyrus performed well on both tasks. The contrast in the performance of patients with right versus left fusiform damage suggests an important distinction in hemispheric processing that reflects not the type of stimulus but the nature of processing required. Copyright © 2010 Elsevier Ltd. All rights reserved.

  18. Effects of emotional and perceptual-motor stress on a voice recognition system's accuracy: An applied investigation

    NASA Astrophysics Data System (ADS)

    Poock, G. K.; Martin, B. J.

    1984-02-01

    This was an applied investigation examining the ability of a speech recognition system to recognize speakers' inputs when the speakers were under different stress levels. Subjects were asked to speak to a voice recognition system under three conditions: (1) normal office environment, (2) emotional stress, and (3) perceptual-motor stress. Results indicate a definite relationship between voice recognition system performance and the type of low stress reference patterns used to achieve recognition.

  19. A Single-System Model Predicts Recognition Memory and Repetition Priming in Amnesia

    PubMed Central

    Kessels, Roy P.C.; Wester, Arie J.; Shanks, David R.

    2014-01-01

    We challenge the claim that there are distinct neural systems for explicit and implicit memory by demonstrating that a formal single-system model predicts the pattern of recognition memory (explicit) and repetition priming (implicit) in amnesia. In the current investigation, human participants with amnesia categorized pictures of objects at study and then, at test, identified fragmented versions of studied (old) and nonstudied (new) objects (providing a measure of priming), and made a recognition memory judgment (old vs new) for each object. Numerous results in the amnesic patients were predicted in advance by the single-system model, as follows: (1) deficits in recognition memory and priming were evident relative to a control group; (2) items judged as old were identified at greater levels of fragmentation than items judged new, regardless of whether the items were actually old or new; and (3) the magnitude of the priming effect (the identification advantage for old vs new items) overall was greater than that of items judged new. Model evidence measures also favored the single-system model over two formal multiple-systems models. The findings support the single-system model, which explains the pattern of recognition and priming in amnesia primarily as a reduction in the strength of a single dimension of memory strength, rather than a selective explicit memory system deficit. PMID:25122896

  20. Cross domains Arabic named entity recognition system

    NASA Astrophysics Data System (ADS)

    Al-Ahmari, S. Saad; Abdullatif Al-Johar, B.

    2016-07-01

    Named Entity Recognition (NER) plays an important role in many Natural Language Processing (NLP) applications such as; Information Extraction (IE), Question Answering (QA), Text Clustering, Text Summarization and Word Sense Disambiguation. This paper presents the development and implementation of domain independent system to recognize three types of Arabic named entities. The system works based on a set of domain independent grammar-rules along with Arabic part of speech tagger in addition to gazetteers and lists of trigger words. The experimental results shown, that the system performed as good as other systems with better results in some cases of cross-domains corpora.