38 CFR 17.190 - Recognition of a State home.

Code of Federal Regulations, 2012 CFR

2012-07-01

... home. 17.190 Section 17.190 Pensions, Bonuses, and Veterans' Relief DEPARTMENT OF VETERANS AFFAIRS MEDICAL Aid to States for Care of Veterans in State Homes § 17.190 Recognition of a State home. A State... the Secretary as a State home before Federal aid payments can be made for the care of such veterans...

38 CFR 17.190 - Recognition of a State home.

Code of Federal Regulations, 2011 CFR

2011-07-01

... home. 17.190 Section 17.190 Pensions, Bonuses, and Veterans' Relief DEPARTMENT OF VETERANS AFFAIRS MEDICAL Aid to States for Care of Veterans in State Homes § 17.190 Recognition of a State home. A State... the Secretary as a State home before Federal aid payments can be made for the care of such veterans...

38 CFR 17.190 - Recognition of a State home.

Code of Federal Regulations, 2014 CFR

2014-07-01

... home. 17.190 Section 17.190 Pensions, Bonuses, and Veterans' Relief DEPARTMENT OF VETERANS AFFAIRS MEDICAL Aid to States for Care of Veterans in State Homes § 17.190 Recognition of a State home. A State... the Secretary as a State home before Federal aid payments can be made for the care of such veterans...

38 CFR 17.190 - Recognition of a State home.

Code of Federal Regulations, 2013 CFR

2013-07-01

... home. 17.190 Section 17.190 Pensions, Bonuses, and Veterans' Relief DEPARTMENT OF VETERANS AFFAIRS MEDICAL Aid to States for Care of Veterans in State Homes § 17.190 Recognition of a State home. A State... the Secretary as a State home before Federal aid payments can be made for the care of such veterans...

Gesture recognition for smart home applications using portable radar sensors.

PubMed

Wan, Qian; Li, Yiran; Li, Changzhi; Pal, Ranadip

2014-01-01

In this article, we consider the design of a human gesture recognition system based on pattern recognition of signatures from a portable smart radar sensor. Powered by AAA batteries, the smart radar sensor operates in the 2.4 GHz industrial, scientific and medical (ISM) band. We analyzed the feature space using principle components and application-specific time and frequency domain features extracted from radar signals for two different sets of gestures. We illustrate that a nearest neighbor based classifier can achieve greater than 95% accuracy for multi class classification using 10 fold cross validation when features are extracted based on magnitude differences and Doppler shifts as compared to features extracted through orthogonal transformations. The reported results illustrate the potential of intelligent radars integrated with a pattern recognition system for high accuracy smart home and health monitoring purposes.

Human activity recognition based on feature selection in smart home using back-propagation algorithm.

PubMed

Fang, Hongqing; He, Lei; Si, Hao; Liu, Peng; Xie, Xiaolei

2014-09-01

In this paper, Back-propagation(BP) algorithm has been used to train the feed forward neural network for human activity recognition in smart home environments, and inter-class distance method for feature selection of observed motion sensor events is discussed and tested. And then, the human activity recognition performances of neural network using BP algorithm have been evaluated and compared with other probabilistic algorithms: Naïve Bayes(NB) classifier and Hidden Markov Model(HMM). The results show that different feature datasets yield different activity recognition accuracy. The selection of unsuitable feature datasets increases the computational complexity and degrades the activity recognition accuracy. Furthermore, neural network using BP algorithm has relatively better human activity recognition performances than NB classifier and HMM. Copyright © 2014 ISA. Published by Elsevier Ltd. All rights reserved.

Who Drops out of Early Head Start Home Visiting Programs?

ERIC Educational Resources Information Center

Roggman, Lori A.; Cook, Gina A.; Peterson, Carla A.; Raikes, Helen H.

2008-01-01

Research Findings: Early Head Start home-based programs provide services through weekly home visits to families with children up to age 3, but families vary in how long they remain enrolled. In this study of 564 families in home-based Early Head Start programs, "dropping out" was predicted by specific variations in home visits and certain family…

Developing a Home-Based Early Intervention Personnel Training Program in Southeast China

ERIC Educational Resources Information Center

Xie, Huichao; Chen, Ching-I; Chen, Chieh-Yu; Squires, Jane; Li, Wenge; Liu, Tian

2017-01-01

China is expected to have a rapid growth in specialized early intervention (EI) services for young children ages birth to 6 and their families. A major barrier in the provision of EI services in China is the shortage of well-trained EI personnel. In 2013, a Home-Based Early Intervention Program (HBEIP) was started at South China Normal University…

Thermodynamics of DNA target site recognition by homing endonucleases

PubMed Central

Eastberg, Jennifer H.; Smith, Audrey McConnell; Zhao, Lei; Ashworth, Justin; Shen, Betty W.; Stoddard, Barry L.

2007-01-01

The thermodynamic profiles of target site recognition have been surveyed for homing endonucleases from various structural families. Similar to DNA-binding proteins that recognize shorter target sites, homing endonucleases display a narrow range of binding free energies and affinities, mediated by structural interactions that balance the magnitude of enthalpic and entropic forces. While the balance of ΔH and TΔS are not strongly correlated with the overall extent of DNA bending, unfavorable ΔHbinding is associated with unstacking of individual base steps in the target site. The effects of deleterious basepair substitutions in the optimal target sites of two LAGLIDADG homing endonucleases, and the subsequent effect of redesigning one of those endonucleases to accommodate that DNA sequence change, were also measured. The substitution of base-specific hydrogen bonds in a wild-type endonuclease/DNA complex with hydrophobic van der Waals contacts in a redesigned complex reduced the ability to discriminate between sites, due to nonspecific ΔSbinding. PMID:17947319

Early discharge hospital at home.

PubMed

Gonçalves-Bradley, Daniela C; Iliffe, Steve; Doll, Helen A; Broad, Joanna; Gladman, John; Langhorne, Peter; Richards, Suzanne H; Shepperd, Sasha

2017-06-26

Early discharge hospital at home is a service that provides active treatment by healthcare professionals in the patient's home for a condition that otherwise would require acute hospital inpatient care. This is an update of a Cochrane review. To determine the effectiveness and cost of managing patients with early discharge hospital at home compared with inpatient hospital care. We searched the following databases to 9 January 2017: the Cochrane Effective Practice and Organisation of Care Group (EPOC) register, Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, Embase, CINAHL, and EconLit. We searched clinical trials registries. Randomised trials comparing early discharge hospital at home with acute hospital inpatient care for adults. We excluded obstetric, paediatric and mental health hospital at home schemes.   DATA COLLECTION AND ANALYSIS: We followed the standard methodological procedures expected by Cochrane and EPOC. We used the GRADE approach to assess the certainty of the body of evidence for the most important outcomes. We included 32 trials (N = 4746), six of them new for this update, mainly conducted in high-income countries. We judged most of the studies to have a low or unclear risk of bias. The intervention was delivered by hospital outreach services (17 trials), community-based services (11 trials), and was co-ordinated by a hospital-based stroke team or physician in conjunction with community-based services in four trials.Studies recruiting people recovering from strokeEarly discharge hospital at home probably makes little or no difference to mortality at three to six months (risk ratio (RR) 0.92, 95% confidence interval (CI) 0.57 to 1.48, N = 1114, 11 trials, moderate-certainty evidence) and may make little or no difference to the risk of hospital readmission (RR 1.09, 95% CI 0.71 to 1.66, N = 345, 5 trials, low-certainty evidence). Hospital at home may lower the risk of living in institutional setting at six months (RR 0.63, 96% CI

Engaging Parents in Early Head Start Home-Based Programs: How Do Home Visitors Do This?

PubMed

Shanti, Caroline

2017-01-01

Parental engagement is considered elemental to successful outcomes for parents and their children in early childhood home visiting programs. Engagement is that piece of parental involvement that refers to the working relationship between the parent and the home visitor. Multiple papers have called for research to pinpoint the ways in which home visitors work with parents to form these working relationships, and form partnerships to achieve positive outcomes. Analysis revealed that in individualizing their efforts to each family, home visitors follow semi-sequential steps in implementing engagement. This article presents a model of the process home visitors describe that resulted from analysis. Grounded theory techniques were used to analyze 29 interviews with Early Head Start (EHS) home visitors and 11 supervisors across four EHS programs in one region of the United States. The process of engagement as described emerges in three phases: (1) learning the parent's culture and style; (2) deepening the working partnership; and (3) balancing the ongoing work. Analysis further revealed specific strategies and goals that guide the work of home visitors in each of these three phases. This not only adds rich detail to the literature, but also provides a useful guide for programs and policy makers through identifying the areas where training and support will increase home visitor ability to engage parents.

38 CFR 51.10 - Per diem based on recognition and certification.

Code of Federal Regulations, 2011 CFR

2011-07-01

... VETERANS AFFAIRS (CONTINUED) PER DIEM FOR NURSING HOME CARE OF VETERANS IN STATE HOMES Obtaining Per Diem for Nursing Home Care in State Homes § 51.10 Per diem based on recognition and certification. VA will pay per diem to a State for providing nursing home care to eligible veterans in a facility if the...

38 CFR 51.10 - Per diem based on recognition and certification.

Code of Federal Regulations, 2014 CFR

2014-07-01

... VETERANS AFFAIRS (CONTINUED) PER DIEM FOR NURSING HOME CARE OF VETERANS IN STATE HOMES Obtaining Per Diem for Nursing Home Care in State Homes § 51.10 Per diem based on recognition and certification. VA will pay per diem to a State for providing nursing home care to eligible veterans in a facility if the...

38 CFR 51.10 - Per diem based on recognition and certification.

Code of Federal Regulations, 2010 CFR

2010-07-01

... VETERANS AFFAIRS (CONTINUED) PER DIEM FOR NURSING HOME CARE OF VETERANS IN STATE HOMES Obtaining Per Diem for Nursing Home Care in State Homes § 51.10 Per diem based on recognition and certification. VA will pay per diem to a State for providing nursing home care to eligible veterans in a facility if the...

38 CFR 51.10 - Per diem based on recognition and certification.

Code of Federal Regulations, 2012 CFR

2012-07-01

... VETERANS AFFAIRS (CONTINUED) PER DIEM FOR NURSING HOME CARE OF VETERANS IN STATE HOMES Obtaining Per Diem for Nursing Home Care in State Homes § 51.10 Per diem based on recognition and certification. VA will pay per diem to a State for providing nursing home care to eligible veterans in a facility if the...

38 CFR 51.10 - Per diem based on recognition and certification.

Code of Federal Regulations, 2013 CFR

2013-07-01

... VETERANS AFFAIRS (CONTINUED) PER DIEM FOR NURSING HOME CARE OF VETERANS IN STATE HOMES Obtaining Per Diem for Nursing Home Care in State Homes § 51.10 Per diem based on recognition and certification. VA will pay per diem to a State for providing nursing home care to eligible veterans in a facility if the...

Clustering-Based Ensemble Learning for Activity Recognition in Smart Homes

PubMed Central

Jurek, Anna; Nugent, Chris; Bi, Yaxin; Wu, Shengli

2014-01-01

Application of sensor-based technology within activity monitoring systems is becoming a popular technique within the smart environment paradigm. Nevertheless, the use of such an approach generates complex constructs of data, which subsequently requires the use of intricate activity recognition techniques to automatically infer the underlying activity. This paper explores a cluster-based ensemble method as a new solution for the purposes of activity recognition within smart environments. With this approach activities are modelled as collections of clusters built on different subsets of features. A classification process is performed by assigning a new instance to its closest cluster from each collection. Two different sensor data representations have been investigated, namely numeric and binary. Following the evaluation of the proposed methodology it has been demonstrated that the cluster-based ensemble method can be successfully applied as a viable option for activity recognition. Results following exposure to data collected from a range of activities indicated that the ensemble method had the ability to perform with accuracies of 94.2% and 97.5% for numeric and binary data, respectively. These results outperformed a range of single classifiers considered as benchmarks. PMID:25014095

Clustering-based ensemble learning for activity recognition in smart homes.

PubMed

Jurek, Anna; Nugent, Chris; Bi, Yaxin; Wu, Shengli

2014-07-10

Application of sensor-based technology within activity monitoring systems is becoming a popular technique within the smart environment paradigm. Nevertheless, the use of such an approach generates complex constructs of data, which subsequently requires the use of intricate activity recognition techniques to automatically infer the underlying activity. This paper explores a cluster-based ensemble method as a new solution for the purposes of activity recognition within smart environments. With this approach activities are modelled as collections of clusters built on different subsets of features. A classification process is performed by assigning a new instance to its closest cluster from each collection. Two different sensor data representations have been investigated, namely numeric and binary. Following the evaluation of the proposed methodology it has been demonstrated that the cluster-based ensemble method can be successfully applied as a viable option for activity recognition. Results following exposure to data collected from a range of activities indicated that the ensemble method had the ability to perform with accuracies of 94.2% and 97.5% for numeric and binary data, respectively. These results outperformed a range of single classifiers considered as benchmarks.

38 CFR 52.20 - Application for recognition based on certification.

Code of Federal Regulations, 2012 CFR

2012-07-01

.... (Authority: 38 U.S.C. 101, 501, 1741-1743) (The Office of Management and Budget has approved the information... VETERANS AFFAIRS (CONTINUED) PER DIEM FOR ADULT DAY HEALTH CARE OF VETERANS IN STATE HOMES Obtaining Per Diem for Adult Day Health Care in State Homes § 52.20 Application for recognition based on...

38 CFR 52.20 - Application for recognition based on certification.

Code of Federal Regulations, 2011 CFR

2011-07-01

.... (Authority: 38 U.S.C. 101, 501, 1741-1743) (The Office of Management and Budget has approved the information... VETERANS AFFAIRS (CONTINUED) PER DIEM FOR ADULT DAY HEALTH CARE OF VETERANS IN STATE HOMES Obtaining Per Diem for Adult Day Health Care in State Homes § 52.20 Application for recognition based on...

Evolution of I-SceI Homing Endonucleases with Increased DNA Recognition Site Specificity

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

Joshi, Rakesh; Ho, Kwok Ki; Tenney, Kristen

2013-09-18

Elucidating how homing endonucleases undergo changes in recognition site specificity will facilitate efforts to engineer proteins for gene therapy applications. I-SceI is a monomeric homing endonuclease that recognizes and cleaves within an 18-bp target. It tolerates limited degeneracy in its target sequence, including substitution of a C:G{sub +4} base pair for the wild-type A:T{sub +4} base pair. Libraries encoding randomized amino acids at I-SceI residue positions that contact or are proximal to A:T{sub +4} were used in conjunction with a bacterial one-hybrid system to select I-SceI derivatives that bind to recognition sites containing either the A:T{sub +4} or the C:G{submore » +4} base pairs. As expected, isolates encoding wild-type residues at the randomized positions were selected using either target sequence. All I-SceI proteins isolated using the C:G{sub +4} recognition site included small side-chain substitutions at G100 and either contained (K86R/G100T, K86R/G100S and K86R/G100C) or lacked (G100A, G100T) a K86R substitution. Interestingly, the binding affinities of the selected variants for the wild-type A:T{sub +4} target are 4- to 11-fold lower than that of wild-type I-SceI, whereas those for the C:G{sub +4} target are similar. The increased specificity of the mutant proteins is also evident in binding experiments in vivo. These differences in binding affinities account for the observed -36-fold difference in target preference between the K86R/G100T and wild-type proteins in DNA cleavage assays. An X-ray crystal structure of the K86R/G100T mutant protein bound to a DNA duplex containing the C:G{sub +4} substitution suggests how sequence specificity of a homing enzyme can increase. This biochemical and structural analysis defines one pathway by which site specificity is augmented for a homing endonuclease.« less

Home Based Early Intervention: The Story of Susan.

ERIC Educational Resources Information Center

Gray, Davon

1980-01-01

Case of a severely handicapped preschooler illustrates advantages of home-based infant stimulation program. Initial goals were: work toward physical separation of mother and child, shape and reinforce child's behavior to extinguish crying, shape and reinforce mother's behavior to enrich home environment, and stimulate and reinforce a developmental…

A Validation Argument for a Simulation-Based Training Course Centered on Assessment, Recognition, and Early Management of Pediatric Sepsis.

PubMed

Geis, Gary L; Wheeler, Derek S; Bunger, Amy; Militello, Laura G; Taylor, Regina G; Bauer, Jerome P; Byczkowski, Terri L; Kerrey, Benjamin T; Patterson, Mary D

2018-02-01

Early recognition of sepsis remains one of the greatest challenges in medicine. Novice clinicians are often responsible for the recognition of sepsis and the initiation of urgent management. The aim of this study was to create a validity argument for the use of a simulation-based training course centered on assessment, recognition, and early management of sepsis in a laboratory-based setting. Five unique simulation scenarios were developed integrating critical sepsis cues identified through qualitative interviewing. Scenarios were piloted with groups of novice, intermediate, and expert pediatric physicians. The primary outcome was physician recognition of sepsis, measured with an adapted situation awareness global assessment tool. Secondary outcomes were physician compliance with pediatric advanced life support (PALS) guidelines and early sepsis management (ESM) recommendations, measured by two internally derived tools. Analysis compared recognition of sepsis by levels of expertise and measured association of sepsis recognition with the secondary outcomes. Eighteen physicians were recruited, six per study group. Each physician completed three sepsis simulations. Sepsis was recognized in 19 (35%) of 54 simulations. The odds that experts recognized sepsis was 2.6 [95% confidence interval (CI) = 0.5-13.8] times greater than novices. Adjusted for severity, for every point increase in the PALS global performance score, the odds that sepsis was recognized increased by 11.3 (95% CI = 3.1-41.4). Similarly, the odds ratio for the PALS checklist score was 1.5 (95% CI = 0.8-2.6). Adjusted for severity and level of expertise, the odds of recognizing sepsis was associated with an increase in the ESM checklist score of 1.8 (95% CI = 0.9-3.6) and an increase in ESM global performance score of 4.1 (95% CI = 1.7-10.0). Although incomplete, evidence from initial testing suggests that the simulations of pediatric sepsis were sufficiently valid to justify their use in training novice

A sensor and video based ontology for activity recognition in smart environments.

PubMed

Mitchell, D; Morrow, Philip J; Nugent, Chris D

2014-01-01

Activity recognition is used in a wide range of applications including healthcare and security. In a smart environment activity recognition can be used to monitor and support the activities of a user. There have been a range of methods used in activity recognition including sensor-based approaches, vision-based approaches and ontological approaches. This paper presents a novel approach to activity recognition in a smart home environment which combines sensor and video data through an ontological framework. The ontology describes the relationships and interactions between activities, the user, objects, sensors and video data.

The cost to successfully apply for level 3 medical home recognition

PubMed Central

Mottus, Kathleen; Reiter, Kristin; Mitchell, C. Madeline; Donahue, Katrina E.; Gabbard, Wilson M.; Gush, Kimberly

2016-01-01

BACKGROUND The NCQA Patient Centered Medical Home (PCMH) recognition program provides practices an opportunity to implement Medical home activities. Understanding the costs to apply for recognition may enable practices to plan their work. METHODS Practice coaches identified 5 exemplar practices that received level 3 recognition (3 pediatric and 2 family medicine practices). This analysis focuses on 4 that received 2011 recognition. Clinical, informatics and administrative staff participated in 2–3 hour interviews. We collected the time required to develop, implement and maintain required activities. We categorized costs as: 1) non-personnel, 2) developmental 3) those to implement activities 4) those to maintain activities, 5) those to document the work and 6) consultant costs. Only incremental costs were included and are presented as costs per full-time equivalent provider (pFTE) RESULTS Practice size ranged from 2.5 – 10.5 pFTE’s, payer mixes from 7–43 % Medicaid. There was variation in the distribution of costs by activity by practice; but the costs to apply were remarkably similar ($11,453–$15,977 pFTE). CONCLUSION The costs to apply for 2011 recognition were noteworthy. Work to enhance care coordination and close loops were highly valued. Financial incentives were key motivators. Future efforts to minimize the burden of low value activities could benefit practices. PMID:26769879

The Cost to Successfully Apply for Level 3 Medical Home Recognition.

PubMed

Halladay, Jacqueline R; Mottus, Kathleen; Reiter, Kristin; Mitchell, C Madeline; Donahue, Katrina E; Gabbard, Wilson M; Gush, Kimberly

2016-01-01

The National Committee for Quality Assurance patient-centered medical home recognition program provides practices an opportunity to implement medical home activities. Understanding the costs to apply for recognition may enable practices to plan their work. Practice coaches identified 5 exemplar practices (3 pediatric and 2 family medicine practices) that received level 3 recognition. This analysis focuses on 4 that received recognition in 2011. Clinical, informatics, and administrative staff participated in 2- to 3-hour interviews. We determined the time required to develop, implement, and maintain required activities. We categorized costs as (1) nonpersonnel, (2) developmental, (3) those used to implement activities, (4) those used to maintain activities, (5) those to document the work, and (6) consultant costs. Only incremental costs were included and are presented as costs per full-time equivalent (pFTE) provider. Practice size ranged from 2.5 to 10.5 pFTE providers, and payer mixes ranged from 7% to 43% Medicaid. There was variation in the distribution of costs by activity by practice, but the costs to apply were remarkably similar ($11,453-15,977 pFTE provider). The costs to apply for 2011 recognition were noteworthy. Work to enhance care coordination and close loops were highly valued. Financial incentives were key motivators. Future efforts to minimize the burden of low-value activities could benefit practices. © Copyright 2016 by the American Board of Family Medicine.

Mapping structural covariance networks of facial emotion recognition in early psychosis: A pilot study.

PubMed

Buchy, Lisa; Barbato, Mariapaola; Makowski, Carolina; Bray, Signe; MacMaster, Frank P; Deighton, Stephanie; Addington, Jean

2017-11-01

People with psychosis show deficits recognizing facial emotions and disrupted activation in the underlying neural circuitry. We evaluated associations between facial emotion recognition and cortical thickness using a correlation-based approach to map structural covariance networks across the brain. Fifteen people with an early psychosis provided magnetic resonance scans and completed the Penn Emotion Recognition and Differentiation tasks. Fifteen historical controls provided magnetic resonance scans. Cortical thickness was computed using CIVET and analyzed with linear models. Seed-based structural covariance analysis was done using the mapping anatomical correlations across the cerebral cortex methodology. To map structural covariance networks involved in facial emotion recognition, the right somatosensory cortex and bilateral fusiform face areas were selected as seeds. Statistics were run in SurfStat. Findings showed increased cortical covariance between the right fusiform face region seed and right orbitofrontal cortex in controls than early psychosis subjects. Facial emotion recognition scores were not significantly associated with thickness in any region. A negative effect of Penn Differentiation scores on cortical covariance was seen between the left fusiform face area seed and right superior parietal lobule in early psychosis subjects. Results suggest that facial emotion recognition ability is related to covariance in a temporal-parietal network in early psychosis. Copyright © 2017 Elsevier B.V. All rights reserved.

38 CFR 52.10 - Per diem based on recognition and certification.

Code of Federal Regulations, 2014 CFR

2014-07-01

... VETERANS AFFAIRS (CONTINUED) PER DIEM FOR ADULT DAY HEALTH CARE OF VETERANS IN STATE HOMES Obtaining Per Diem for Adult Day Health Care in State Homes § 52.10 Per diem based on recognition and certification. VA will pay per diem to a State for providing adult day health care to eligible veterans in a...

38 CFR 52.10 - Per diem based on recognition and certification.

Code of Federal Regulations, 2013 CFR

2013-07-01

... VETERANS AFFAIRS (CONTINUED) PER DIEM FOR ADULT DAY HEALTH CARE OF VETERANS IN STATE HOMES Obtaining Per Diem for Adult Day Health Care in State Homes § 52.10 Per diem based on recognition and certification. VA will pay per diem to a State for providing adult day health care to eligible veterans in a...

38 CFR 52.10 - Per diem based on recognition and certification.

Code of Federal Regulations, 2010 CFR

2010-07-01

... VETERANS AFFAIRS (CONTINUED) PER DIEM FOR ADULT DAY HEALTH CARE OF VETERANS IN STATE HOMES Obtaining Per Diem for Adult Day Health Care in State Homes § 52.10 Per diem based on recognition and certification. VA will pay per diem to a State for providing adult day health care to eligible veterans in a...

Effectiveness of Home-Based Exercises Without Supervision by Physical Therapists for Patients With Early-Stage Amyotrophic Lateral Sclerosis: A Pilot Study.

PubMed

Kitano, Kosuke; Asakawa, Takashi; Kamide, Naoto; Yorimoto, Keisuke; Yoneda, Masaki; Kikuchi, Yutaka; Sawada, Makoto; Komori, Tetsuo

2018-03-31

To verify the effects of structured home-based exercises without supervision by a physical therapist in patients with early-stage amyotrophic lateral sclerosis (ALS). A historical controlled study that is part of a multicenter collaborative study. Rehabilitation departments at general hospitals and outpatient clinics with a neurology department. Patients (N=21) with ALS were enrolled and designated as the home-based exercise (Home-EX) group, and they performed unsupervised home-based exercises. As a control group, 84 patients with ALS who underwent supervised exercise with a physical therapist for 6 months were extracted from a database of patients with ALS and matched with the Home-EX group in terms of their basic attributes and clinical features. The Home-EX group was instructed to perform structured home-based exercises without supervision by a physical therapist that consisted of muscle stretching, muscle training, and functional training for 6 months. The primary outcome was the score on the ALS Functional Rating Scale-Revised (ALSFRS-R), which is composed of 3 domains: bulbar function, limb function, and respiratory function. The score ranges from 0 to 48 points, with a higher score indicating better function. In the Home-EX group, 15 patients completed the home-based exercises for 6 months, and 6 patients dropped out because of medical reasons or disease progression. No adverse events were reported. The Home-EX group was found to have a significantly higher respiratory function subscore and total score on the ALSFRS-R than the control group at follow-up (P<.001 and P<.05, respectively). Structured home-based exercises without supervision by a physical therapist could be used to alleviate functional deterioration in patients with early-stage ALS. Copyright © 2018 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.

Evaluation of Three State-of-the-Art Classifiers for Recognition of Activities of Daily Living from Smart Home Ambient Data

PubMed Central

Nef, Tobias; Urwyler, Prabitha; Büchler, Marcel; Tarnanas, Ioannis; Stucki, Reto; Cazzoli, Dario; Müri, René; Mosimann, Urs

2012-01-01

Smart homes for the aging population have recently started attracting the attention of the research community. The “health state” of smart homes is comprised of many different levels; starting with the physical health of citizens, it also includes longer-term health norms and outcomes, as well as the arena of positive behavior changes. One of the problems of interest is to monitor the activities of daily living (ADL) of the elderly, aiming at their protection and well-being. For this purpose, we installed passive infrared (PIR) sensors to detect motion in a specific area inside a smart apartment and used them to collect a set of ADL. In a novel approach, we describe a technology that allows the ground truth collected in one smart home to train activity recognition systems for other smart homes. We asked the users to label all instances of all ADL only once and subsequently applied data mining techniques to cluster in-home sensor firings. Each cluster would therefore represent the instances of the same activity. Once the clusters were associated to their corresponding activities, our system was able to recognize future activities. To improve the activity recognition accuracy, our system preprocessed raw sensor data by identifying overlapping activities. To evaluate the recognition performance from a 200-day dataset, we implemented three different active learning classification algorithms and compared their performance: naive Bayesian (NB), support vector machine (SVM) and random forest (RF). Based on our results, the RF classifier recognized activities with an average specificity of 96.53%, a sensitivity of 68.49%, a precision of 74.41% and an F-measure of 71.33%, outperforming both the NB and SVM classifiers. Further clustering markedly improved the results of the RF classifier. An activity recognition system based on PIR sensors in conjunction with a clustering classification approach was able to detect ADL from datasets collected from different homes. Thus

Evaluation of Three State-of-the-Art Classifiers for Recognition of Activities of Daily Living from Smart Home Ambient Data.

PubMed

Nef, Tobias; Urwyler, Prabitha; Büchler, Marcel; Tarnanas, Ioannis; Stucki, Reto; Cazzoli, Dario; Müri, René; Mosimann, Urs

2015-05-21

Smart homes for the aging population have recently started attracting the attention of the research community. The "health state" of smart homes is comprised of many different levels; starting with the physical health of citizens, it also includes longer-term health norms and outcomes, as well as the arena of positive behavior changes. One of the problems of interest is to monitor the activities of daily living (ADL) of the elderly, aiming at their protection and well-being. For this purpose, we installed passive infrared (PIR) sensors to detect motion in a specific area inside a smart apartment and used them to collect a set of ADL. In a novel approach, we describe a technology that allows the ground truth collected in one smart home to train activity recognition systems for other smart homes. We asked the users to label all instances of all ADL only once and subsequently applied data mining techniques to cluster in-home sensor firings. Each cluster would therefore represent the instances of the same activity. Once the clusters were associated to their corresponding activities, our system was able to recognize future activities. To improve the activity recognition accuracy, our system preprocessed raw sensor data by identifying overlapping activities. To evaluate the recognition performance from a 200-day dataset, we implemented three different active learning classification algorithms and compared their performance: naive Bayesian (NB), support vector machine (SVM) and random forest (RF). Based on our results, the RF classifier recognized activities with an average specificity of 96.53%, a sensitivity of 68.49%, a precision of 74.41% and an F-measure of 71.33%, outperforming both the NB and SVM classifiers. Further clustering markedly improved the results of the RF classifier. An activity recognition system based on PIR sensors in conjunction with a clustering classification approach was able to detect ADL from datasets collected from different homes. Thus, our

Human body contour data based activity recognition.

PubMed

Myagmarbayar, Nergui; Yuki, Yoshida; Imamoglu, Nevrez; Gonzalez, Jose; Otake, Mihoko; Yu, Wenwei

2013-01-01

This research work is aimed to develop autonomous bio-monitoring mobile robots, which are capable of tracking and measuring patients' motions, recognizing the patients' behavior based on observation data, and providing calling for medical personnel in emergency situations in home environment. The robots to be developed will bring about cost-effective, safe and easier at-home rehabilitation to most motor-function impaired patients (MIPs). In our previous research, a full framework was established towards this research goal. In this research, we aimed at improving the human activity recognition by using contour data of the tracked human subject extracted from the depth images as the signal source, instead of the lower limb joint angle data used in the previous research, which are more likely to be affected by the motion of the robot and human subjects. Several geometric parameters, such as, the ratio of height to weight of the tracked human subject, and distance (pixels) between centroid points of upper and lower parts of human body, were calculated from the contour data, and used as the features for the activity recognition. A Hidden Markov Model (HMM) is employed to classify different human activities from the features. Experimental results showed that the human activity recognition could be achieved with a high correct rate.

Early discharge hospital at home.

PubMed

Shepperd, Sasha; Doll, Helen; Broad, Joanna; Gladman, John; Iliffe, Steve; Langhorne, Peter; Richards, Suzanne; Martin, Finbarr; Harris, Roger

2009-01-21

'Early discharge hospital at home' is a service that provides active treatment by health care professionals in the patient's home for a condition that otherwise would require acute hospital in-patient care. If hospital at home were not available then the patient would remain in an acute hospital ward. To determine, in the context of a systematic review and meta-analysis, the effectiveness and cost of managing patients with early discharge hospital at home compared with in-patient hospital care. We searched the Cochrane Effective Practice and Organisation of Care (EPOC) Group Register , MEDLINE (1950 to 2008), EMBASE (1980 to 2008), CINAHL (1982 to 2008) and EconLit through to January 2008. We checked the reference lists of articles identified for potentially relevant articles. Randomised controlled trials recruiting patients aged 18 years and over. Studies comparing early discharge hospital at home with acute hospital in-patient care. Evaluations of obstetric, paediatric and mental health hospital at home schemes are excluded from this review. Two authors independently extracted data and assessed study quality. Our statistical analyses were done on an intention-to-treat basis. We requested individual patient data (IPD) from trialists, and relied on published data when we did not receive trial data sets or the IPD did not include the relevant outcomes. For the IPD meta-analysis, where at least one event was reported in both study groups in a trial, Cox regression models were used to calculate the log hazard ratio and its standard error for mortality and readmission separately for each data set. The calculated log hazard ratios were combined using fixed-effect inverse variance meta-analysis. Twenty-six trials were included in this review [n = 3967]; 21 were eligible for the IPD meta-analysis and 13 of the 21 trials contributed data [1899/2872; 66%]. For patients recovering from a stroke and elderly patients with a mix of conditions there was insufficient evidence of

Hospital in the Home nurses' recognition and response to clinical deterioration.

PubMed

Gray, Erika; Currey, Judy; Considine, Julie

2018-05-01

To obtain an understanding of how Hospital in the Home (HITH) nurses recognise and respond to clinical deterioration in patients receiving care at home or in their usual place of residence. Recognising and responding to clinical deterioration is an international safety priority and a key nursing responsibility. Despite an increase in care delivery in home environments, how HITH nurses recognise and respond to clinical deterioration is not yet fully understood. A prospective, descriptive exploratory design was used. A survey containing questions related to participant characteristics and 10 patient scenarios was used to collect data from 47 nurses employed in the HITH units of three major health services in Melbourne, Australia. The 10 scenarios reflected typical HITH patients and included medical history and clinical assessment findings (respiratory rate, oxygen saturation, heart rate, blood pressure, temperature, conscious state and pain score). The three major findings from this study were that: (i) nurse and patient characteristics influenced HITH nurses' assessment decisions; (ii) the cues used by HITH nurses to recognise clinical deterioration varied according to the clinical context; and (iii) although HITH nurses work in an autonomous role, they engage in collaborative practice when responding to clinical deterioration. Hospital in the Home nurses play a fundamental role in patient assessment, and the context in which they recognise and respond to deterioration is markedly different to that of hospital nurses. The assessment, measurement and interpretation of clinical data are a nursing responsibility that is crucial to early recognition and response to clinical deterioration. The capacity of HITH services to care for increasing numbers of patients in their home environment, and to promptly recognise and respond to clinical deterioration should it occur, is fundamental to safety within the healthcare system. Hospital in the Home nurses are integral to a

Home-based versus hospital-based postnatal care: a randomised trial.

PubMed

Boulvain, Michel; Perneger, Thomas V; Othenin-Girard, Véronique; Petrou, Stavros; Berner, Michel; Irion, Olivier

2004-08-01

To compare a shortened hospital stay with midwife visits at home to usual hospital care after delivery. Randomised controlled trial. Maternity unit of a Swiss teaching hospital. Four hundred and fifty-nine women with a single uncomplicated pregnancy at low risk of caesarean section. Women were randomised to either home-based (n= 228) or hospital-based postnatal care (n= 231). Home-based postnatal care consisted of early discharge from hospital (24 to 48 hours after delivery) and home visits by a midwife; women in the hospital-based care group were hospitalised for four to five days. Breastfeeding 28 days postpartum, women's views of their care and readmission to hospital. Women in the home-based care group had shorter hospital stays (65 vs 106 hours, P < 0.001) and more midwife visits (4.8 vs 1.7, P < 0.001) than women in the hospital-based care group. Prevalence of breastfeeding at 28 days was similar between the groups (90%vs 87%, P= 0.30), but women in the home-based care group reported fewer problems with breastfeeding and greater satisfaction with the help received. There were no differences in satisfaction with care, women's hospital readmissions, postnatal depression scores and health status scores. A higher percentage of neonates in the home-based care group were readmitted to hospital during the first six months (12%vs 4.8%, P= 0.004). In low risk pregnancies, early discharge from hospital and midwife visits at home after delivery is an acceptable alternative to a longer duration of care in hospital. Mothers' preferences and economic considerations should be taken into account when choosing a policy of postnatal care.

An Ontology-based Context-aware System for Smart Homes: E-care@home.

PubMed

Alirezaie, Marjan; Renoux, Jennifer; Köckemann, Uwe; Kristoffersson, Annica; Karlsson, Lars; Blomqvist, Eva; Tsiftes, Nicolas; Voigt, Thiemo; Loutfi, Amy

2017-07-06

Smart home environments have a significant potential to provide for long-term monitoring of users with special needs in order to promote the possibility to age at home. Such environments are typically equipped with a number of heterogeneous sensors that monitor both health and environmental parameters. This paper presents a framework called E-care@home, consisting of an IoT infrastructure, which provides information with an unambiguous, shared meaning across IoT devices, end-users, relatives, health and care professionals and organizations. We focus on integrating measurements gathered from heterogeneous sources by using ontologies in order to enable semantic interpretation of events and context awareness. Activities are deduced using an incremental answer set solver for stream reasoning. The paper demonstrates the proposed framework using an instantiation of a smart environment that is able to perform context recognition based on the activities and the events occurring in the home.

An Ontology-based Context-aware System for Smart Homes: E-care@home

PubMed Central

Alirezaie, Marjan; Köckemann, Uwe; Kristoffersson, Annica; Karlsson, Lars; Blomqvist, Eva; Voigt, Thiemo; Loutfi, Amy

2017-01-01

Smart home environments have a significant potential to provide for long-term monitoring of users with special needs in order to promote the possibility to age at home. Such environments are typically equipped with a number of heterogeneous sensors that monitor both health and environmental parameters. This paper presents a framework called E-care@home, consisting of an IoT infrastructure, which provides information with an unambiguous, shared meaning across IoT devices, end-users, relatives, health and care professionals and organizations. We focus on integrating measurements gathered from heterogeneous sources by using ontologies in order to enable semantic interpretation of events and context awareness. Activities are deduced using an incremental answer set solver for stream reasoning. The paper demonstrates the proposed framework using an instantiation of a smart environment that is able to perform context recognition based on the activities and the events occurring in the home. PMID:28684686

Depression in nursing homes: prevalence, recognition, and treatment.

PubMed

Kramer, Dietmar; Allgaier, Antje-Kathrin; Fejtkova, Sabina; Mergl, Roland; Hegerl, Ulrich

2009-01-01

Depression is very common in people above 65 years living in long-term care. However, little is known about how well depression is recognized and how adequately it is treated. Therefore, the present study aimed at assessing accuracy of the unaided clinical diagnosis of the attending physicians, and the medical treatment situation in nursing home residents. A random sample of 97 residents of 10 nursing homes in Munich was examined with the Section A "Affective Syndrome" of the Structured Clinical Interview (SCID) for DSM-IV to detect depression. Information concerning clinical diagnosis and medication was obtained from the subjects' medical records. 14.4% suffered acutely from major depression, 14.4% suffered from minor depression, and 18.6% were diagnosed as depressive according to the physician and nursing records. In total, 27.8% received antidepressants. Merely 42.9% of the subjects with acute major depression were diagnosed by their attending physicians as depressive, and only half of them received an antidepressant; 17.5% received antidepressants without a diagnosis of depression in their physician and nursing records. In accordance with the guidelines, 73.3% of the antidepressants prescribed were SSRIs or newer antidepressants. Only 20.0% were tricyclic antidepressants. Findings show that depression is relatively frequent in residents of nursing homes. Moreover, it is insufficiently recognized by physicians and is even more seldom adequately treated. Also, a significant proportion of residents receive antidepressants without a documented associated indication. Therefore, the recognition and guideline-based treatment of depression should be improved in this high-risk group.

A Randomised Controlled Trial of Two Early Intervention Programs for Young Children with Autism: Centre-Based with Parent Program and Home-Based

ERIC Educational Resources Information Center

Roberts, Jacqueline; Williams, Katrina; Carter, Mark; Evans, David; Parmenter, Trevor; Silove, Natalie; Clark, Trevor; Warren, Anthony

2011-01-01

This study compares outcomes of early intervention programs for young children with autism; an individualised home-based program (HB), a small group centre-based program for children combined with a parent training and support group (CB) and a non-treatment comparison group (WL). Outcome measures of interest include social and communication skill…

Pathways to Medical Home Recognition: A Qualitative Comparative Analysis of the PCMH Transformation Process.

PubMed

Mendel, Peter; Chen, Emily K; Green, Harold D; Armstrong, Courtney; Timbie, Justin W; Kress, Amii M; Friedberg, Mark W; Kahn, Katherine L

2017-12-15

To understand the process of practice transformation by identifying pathways for attaining patient-centered medical home (PCMH) recognition. The CMS Federally Qualified Health Center (FQHC) Advanced Primary Care Practice Demonstration was designed to help FQHCs achieve NCQA Level 3 PCMH recognition and improve patient outcomes. We used a stratified random sample of 20 (out of 503) participating sites for this analysis. We developed a conceptual model of structural, cultural, and implementation factors affecting PCMH transformation based on literature and initial qualitative interview themes. We then used conventional cross-case analysis, followed by qualitative comparative analysis (QCA), a cross-case method based on Boolean logic algorithms, to systematically identify pathways (i.e., combinations of factors) associated with attaining-or not attaining-Level 3 recognition. Site-level indicators were derived from semistructured interviews with site leaders at two points in time (mid- and late-implementation) and administrative data collected prior to and during the demonstration period. The QCA results identified five distinct pathways to attaining PCMH recognition and four distinct pathways to not attaining recognition by the end of the demonstration. Across these pathways, one condition (change leader capacity) was common to all pathways for attaining recognition, and another (previous improvement or recognition experience) was absent in all pathways for not attaining recognition. In general, sites could compensate for deficiencies in one factor with capacity in others, but they needed a threshold of strengths in cultural and implementation factors to attain PCMH recognition. Future efforts at primary care transformation should take into account multiple pathways sites may pursue. Sites should be assessed on key cultural and implementation factors, in addition to structural components, in order to differentiate interventions and technical assistance. © Health

Disclosure of Diagnosis in Early Recognition of Psychosis.

PubMed

Blessing, Andreas; Studer, Anna; Gross, Amelie; Gruss, L Forest; Schneider, Roland; Dammann, Gerhard

2017-10-01

There is a debate concerning risks and benefits of early intervention in psychosis, especially concerning diagnosis disclosure. The present study reports preliminary findings on self-reported locus of control and psychological distress after the disclosure of diagnosis in an early recognition center. We compared the ratings of the locus of control and psychological distress before and after communication of diagnosis. The study included individuals with an at-risk mental state (ARMS) (n = 10), schizophrenia (n = 9), and other psychiatric disorders (n = 11). Results indicate greater endorsement of the internal locus of control in individuals with ARMS after communication of diagnosis in contrast to the other groups. Our results suggest that disclosure of diagnosis in an early recognition center leads to a reduction of psychological distress and increased feelings of control over one's health. Persons with ARMS seem to particularly benefit from disclosure of diagnosis as part of early intervention.

Early Decomposition in Visual Word Recognition: Dissociating Morphology, Form, and Meaning

ERIC Educational Resources Information Center

Marslen-Wilson, William D.; Bozic, Mirjana; Randall, Billi

2008-01-01

The role of morphological, semantic, and form-based factors in the early stages of visual word recognition was investigated across different SOAs in a masked priming paradigm, focusing on English derivational morphology. In a first set of experiments, stimulus pairs co-varying in morphological decomposability and in semantic and orthographic…

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.

Recognition as a patient-centered medical home: fundamental or incidental?

PubMed

Dohan, Daniel; McCuistion, Mary Honodel; Frosch, Dominick L; Hung, Dorothy Y; Tai-Seale, Ming

2013-01-01

Little is known about reasons why a medical group would seek recognition as a patient-centered medical home (PCMH). We examined the motivations for seeking recognition in one group and assessed why the group allowed recognition to lapse 3 years later. As part of a larger mixed methods case study, we conducted 38 key informant interviews with executives, clinicians, and front-line staff. Interviews were conducted according to a guide that evolved during the project and were audio-recorded and fully transcribed. Transcripts were analyzed and thematically coded. PCMH principles were consistent with the organization's culture and mission, which valued innovation and putting patients first. Motivations for implementing specific PCMH components varied; some components were seen as part of the organization's patient-centered culture, whereas others helped the practice compete in its local market. Informants consistently reported that National Committee for Quality Assurance recognition arose incidentally because of a 1-time incentive from a local group of large employers and because the organization decided to allocate some organizational resources to respond to the complex reporting requirements for about one-half of its clinics. Becoming patient centered and seeking recognition as such ran along separate but parallel tracks within this organization. As the Affordable Care Act continues to focus attention on primary care redesign, this apparent disconnect should be borne in mind.

Early Recognition of Chronic Traumatic Encephalopathy Through FDDNP PET Imaging

DTIC Science & Technology

2015-10-01

AWARD NUMBER: W81XWH-13-1-0486 TITLE: Early Recognition of Chronic Traumatic Encephalopathy Through FDDNP PET Imaging PRINCIPAL INVESTIGATOR...TITLE AND SUBTITLE Early Recognition of Chronic Traumatic Encephalopathy Through FDDNP PET Imaging 5a. CONTRACT NUMBER W81XWH-13-1-0486 W81XWH-13-1...Release; Distribution Unlimited 13. SUPPLEMENTARY NOTES 14. ABSTRACT 1. The PET biomarker, F-FDDNP (2-(1-{6-[(2-[F-18]fluoroethyl(methyl)amino]-2-naphthyl

Hospital at home for chronic obstructive pulmonary disease: an integrated hospital and community based generic intermediate care service for prevention and early discharge.

PubMed

Davison, A G; Monaghan, M; Brown, D; Eraut, C D; O'Brien, A; Paul, K; Townsend, J; Elston, C; Ward, L; Steeples, S; Cubitt, L

2006-01-01

Recent randomized controlled studies have reported success for hospital at home for prevention and early discharge of chronic obstructive pulmonary disease (COPD) patients using hospital based respiratory nurse specialists. This observational study reports results using an integrated hospital and community based generic intermediate care service. The length of care, readmission within 60 days and death within 60 days in the early discharge (9.37 days, 21.1%, 7%) and the prevention of admission (five to six days, 34.1%, 3.8%) are similar to previous studies. We suggest that this generic community model of service may allow hospital at home services for COPD to be introduced in more areas.

Reading Disability Spectrum: Early and Late Recognition, Subthreshold, and Full Comorbidity

ERIC Educational Resources Information Center

Töro, Krisztina Tárnokiné; Miklósi, Mónika; Horanyi, Eszter; Kovács, Gábor Pers; Balázs, Judit

2018-01-01

Several studies have reported high comorbidity for reading disability (RD) and psychiatric disorders. The aim of this study was to investigate the comorbidity of subthreshold and full psychiatric disorders with RD while comparing subgroups based on age of RD recognition (early vs. late). We analyzed data from 130 children with RD and 82 typically…

EHLS at School: school-age follow-up of the Early Home Learning Study cluster randomized controlled trial.

PubMed

Westrupp, Elizabeth M; Bennett, Clair; Cullinane, Meabh; Hackworth, Naomi J; Berthelsen, Donna; Reilly, Sheena; Mensah, Fiona K; Gold, Lisa; Bennetts, Shannon K; Levickis, Penny; Nicholson, Jan M

2018-05-02

Targeted interventions during early childhood can assist families in providing strong foundations that promote children's health and wellbeing across the life course. There is growing recognition that longer follow-up times are necessary to assess intervention outcomes, as effects may change as children develop. The Early Home Learning Study, or 'EHLS', comprised two cluster randomized controlled superiority trials of a brief parenting intervention, smalltalk, aimed at supporting parents to strengthen the early childhood home learning environment of infants (6-12 months) or toddlers (12-36 months). Results showed sustained improvements in parent-child interactions and the home environment at the 32 week follow-up for the toddler but not the infant trial. The current study will therefore follow up the EHLS toddler cohort to primary school age, with the aim of addressing a gap in literature concerning long-term effects of early childhood interventions focused on improving school readiness and later developmental outcomes. 'EHLS at School' is a school-aged follow-up study of the toddler cluster randomized controlled trial (n = 1226). Data will be collected by parent-, child- and teacher-report questionnaires, recorded observations of parent-child interactions, and direct child assessment when children are aged 7.5 years old. Data linkage will provide additional data on child health and academic functioning at ages 5, 8 and 10 years. Child outcomes will be compared for families allocated to standard/usual care (control) versus those allocated to the smalltalk program (group program only or group program with additional home coaching). Findings from The Early Home Learning Study provided evidence of the benefits of the smalltalk intervention delivered via facilitated playgroups for parents of toddlers. The EHLS at School Study aims to examine the long-term outcomes of this initiative to determine whether improvements in the quality of the parent

Sensor-Based Human Activity Recognition in a Multi-user Scenario

NASA Astrophysics Data System (ADS)

Wang, Liang; Gu, Tao; Tao, Xianping; Lu, Jian

Existing work on sensor-based activity recognition focuses mainly on single-user activities. However, in real life, activities are often performed by multiple users involving interactions between them. In this paper, we propose Coupled Hidden Markov Models (CHMMs) to recognize multi-user activities from sensor readings in a smart home environment. We develop a multimodal sensing platform and present a theoretical framework to recognize both single-user and multi-user activities. We conduct our trace collection done in a smart home, and evaluate our framework through experimental studies. Our experimental result shows that we achieve an average accuracy of 85.46% with CHMMs.

Using an expanded outcomes framework and continuing education evidence to improve facilitation of patient-centered medical home recognition and transformation.

PubMed

Van Hoof, Thomas J; Kelvey-Albert, Michele; Katz, Matthew; Lalime, Ken; Sacks, Ken; Meehan, Thomas P

2014-01-01

The patient-centered medical home is a model for delivering primary care in the United States. Primary care clinicians and their staffs require assistance in understanding the innovation and in applying it to practice. The purpose of this article is to describe and to critique a continuing education program that is relevant to, and will become more common in, primary care. A multifaceted educational strategy prepared 20 primary care private practices to achieve National Committee for Quality Assurance Level 3 recognition as Patient-Centered Medical Homes. Eighteen (90%) practices submitted an application to the National Committee for Quality Assurance. On the first submission attempt, 13 of 18 (72%) achieved Level 3 recognition and 5 (28%) achieved Level 1 recognition. An interactive multifaceted educational strategy can be successful in preparing primary care practices for Patient-Centered Medical Homes recognition, but the strategy may not ensure transformation. Future educational activities should consider an expanded outcomes framework and the evidence of effective continuing education to be more successful with recognition and transformation.

Assessing Home Environment for Early Child Development in Pakistan

ERIC Educational Resources Information Center

Nadeem, Sanober; Rafique, Ghazala; Khowaja, Liaquat; Yameen, Anjum

2014-01-01

Family environment plays a very important role in early child development and the availability of stimulating material in the early years of a child's life is crucial for optimising development. The Home Observation for Measurement of the Environment (HOME) inventory is one of the most widely used measures to assess the quality and quantity of…

[Services for the early recognition of psychoses and bipolar disorders in Germany: inventory survey study].

PubMed

Leopold, K; Nikolaides, A; Bauer, M; Bechdolf, A; Correll, C U; Jessen, F; Juckel, G; Karow, A; Lambert, M; Klosterkötter, J; Ruhrmann, S; Pfeiffer, S; Pfennig, A

2015-03-01

In order to successfully implement early recognition and intervention services in psychiatry, it is crucial to improve the attention to and recognition of severe mental disorders and to establish low threshold services that are available at short notice for diagnostic and treatment procedures. For this inventory survey study, questionnaires regarding the presence and type of early recognition services for psychoses and bipolar disorders were sent separately to German psychiatric hospitals by mail in September and October 2012. Additionally, an internet search and telephone inquiries as well as an alignment of responses from the two surveys and with network lists from published and ongoing early recognition studies were performed. Response rates in the psychosis and bipolar disorder surveys were 21 % (51/246) and 36 % (91/255), respectively. Three quarters of participating institutions reported at least an interest in creating an early recognition service for psychoses and one half for bipolar disorders. Overall, 26 institutions were identified that already offer early recognition of psychoses and 18 of bipolar disorders. Of these 16 are low threshold early recognition centres with direct access at short notice for first-episode patients and person from at-risk groups and separate specific public relations work. Of these early recognition centres five have a separate and easy to find homepage available; in an additional 15 institutions the specific websites are part of the institutions homepage. Despite widespread interest and the increasingly recognized importance of early recognition and intervention services in psychiatry, there is currently no nationwide coverage with early recognition services for severe mental disorders in Germany. Public relations and information activities are not (yet) sufficiently provided to reach affected persons and their environment. Common standards are (still) missing and interdisciplinary models are sparse. To correct these

Early home-based intervention in the Netherlands for children at familial risk of dyslexia.

PubMed

van Otterloo, Sandra G; van der Leij, Aryan; Henrichs, Lotte F

2009-08-01

Dutch children at higher familial risk of reading disability received a home-based intervention programme before formal reading instruction started to investigate whether this would reduce the risk of dyslexia. The experimental group (n=23) received a specific training in phoneme awareness and letter knowledge. A control group (n=25) received a non-specific training in morphology, syntax, and vocabulary. Both interventions were designed to take 10 min a day, 5 days a week for 10 weeks. Most parents were sufficiently able to work with the programme properly. At post-test the experimental group had gained more on phoneme awareness than the control group. The control group gained more on one of the morphology measures. On average, these specific training results did not lead to significant group differences in first-grade reading and spelling measures. However, fewer experimental children scored below 10th percentile on word recognition. (c) 2008 John Wiley & Sons, Ltd.

Kinect system in home-based cardiovascular rehabilitation.

PubMed

Vieira, Ágata; Gabriel, Joaquim; Melo, Cristina; Machado, Jorge

2017-01-01

Cardiovascular diseases lead to a high consumption of financial resources. An important part of the recovery process is the cardiovascular rehabilitation. This study aimed to present a new cardiovascular rehabilitation system to 11 outpatients with coronary artery disease from a Hospital in Porto, Portugal, later collecting their opinions. This system is based on a virtual reality game system, using the Kinect sensor while performing an exercise protocol which is integrated in a home-based cardiovascular rehabilitation programme, with a duration of 6 months and at the maintenance phase. The participants responded to a questionnaire asking for their opinion about the system. The results demonstrated that 91% of the participants (n = 10) enjoyed the artwork, while 100% (n = 11) agreed on the importance and usefulness of the automatic counting of the number of repetitions, moreover 64% (n = 7) reported motivation to continue performing the programme after the end of the study, and 100% (n = 11) recognized Kinect as an instrument with potential to be an asset in cardiovascular rehabilitation. Criticisms included limitations in motion capture and gesture recognition, 91% (n = 10), and the lack of home space, 27% (n = 3). According to the participants' opinions, the Kinect has the potential to be used in cardiovascular rehabilitation; however, several technical details require improvement, particularly regarding the motion capture and gesture recognition.

A Mixed Methods Evaluation of Early Childhood Abuse Prevention Within Evidence-Based Home Visiting Programs.

PubMed

Matone, M; Kellom, K; Griffis, H; Quarshie, W; Faerber, J; Gierlach, P; Whittaker, J; Rubin, D M; Cronholm, P F

2018-05-31

Objectives In this large scale, mixed methods evaluation, we determined the impact and context of early childhood home visiting on rates of child abuse-related injury. Methods Entropy-balanced and propensity score matched retrospective cohort analysis comparing children of Pennsylvania Nurse-Family Partnership (NFP), Parents As Teachers (PAT), and Early Head Start (EHS) enrollees and children of Pennsylvania Medicaid eligible women from 2008 to 2014. Abuse-related injury episodes were identified in medical assistance claims with ICD-9 codes. Weighted frequencies and logistic regression odds of injury within 24 months are presented. In-depth interviews with staff and clients (n = 150) from 11 programs were analyzed using a modified grounded theory approach. Results The odds of a healthcare encounter for early childhood abuse among clients were significantly greater than comparison children (NFP: 1.32, 95% CI [1.08, 1.62]; PAT: 4.11, 95% CI [1.60, 10.55]; EHS: 3.15, 95% CI [1.41, 7.06]). Qualitative data illustrated the circumstances of and program response to client issues related to child maltreatment, highlighting the role of non-client caregivers. All stakeholders described curricular content aimed at prevention (e.g. positive parenting) with little time dedicated to addressing current or past abuse. Clients who reported a lack of abuse-related content supposed their home visitor's assumption of an absence of risk in their home, but were supportive of the introduction of abuse-related content. Approach, acceptance, and available resources were mediators of successfully addressing abuse. Conclusions for Practice Home visiting aims to prevent child abuse among high-risk families. Adequate home visitor capacity to proactively assess abuse risk, deliver effective preventive curriculum with fidelity to caregivers, and access appropriate resources is necessary.

User Activity Recognition in Smart Homes Using Pattern Clustering Applied to Temporal ANN Algorithm.

PubMed

Bourobou, Serge Thomas Mickala; Yoo, Younghwan

2015-05-21

This paper discusses the possibility of recognizing and predicting user activities in the IoT (Internet of Things) based smart environment. The activity recognition is usually done through two steps: activity pattern clustering and activity type decision. Although many related works have been suggested, they had some limited performance because they focused only on one part between the two steps. This paper tries to find the best combination of a pattern clustering method and an activity decision algorithm among various existing works. For the first step, in order to classify so varied and complex user activities, we use a relevant and efficient unsupervised learning method called the K-pattern clustering algorithm. In the second step, the training of smart environment for recognizing and predicting user activities inside his/her personal space is done by utilizing the artificial neural network based on the Allen's temporal relations. The experimental results show that our combined method provides the higher recognition accuracy for various activities, as compared with other data mining classification algorithms. Furthermore, it is more appropriate for a dynamic environment like an IoT based smart home.

User Activity Recognition in Smart Homes Using Pattern Clustering Applied to Temporal ANN Algorithm

PubMed Central

Bourobou, Serge Thomas Mickala; Yoo, Younghwan

2015-01-01

This paper discusses the possibility of recognizing and predicting user activities in the IoT (Internet of Things) based smart environment. The activity recognition is usually done through two steps: activity pattern clustering and activity type decision. Although many related works have been suggested, they had some limited performance because they focused only on one part between the two steps. This paper tries to find the best combination of a pattern clustering method and an activity decision algorithm among various existing works. For the first step, in order to classify so varied and complex user activities, we use a relevant and efficient unsupervised learning method called the K-pattern clustering algorithm. In the second step, the training of smart environment for recognizing and predicting user activities inside his/her personal space is done by utilizing the artificial neural network based on the Allen’s temporal relations. The experimental results show that our combined method provides the higher recognition accuracy for various activities, as compared with other data mining classification algorithms. Furthermore, it is more appropriate for a dynamic environment like an IoT based smart home. PMID:26007738

Effect of Maternal and Pregnancy Risk Factors on Early Neonatal Death in Planned Home Births Delivering at Home.

PubMed

Bachilova, Sophia; Czuzoj-Shulman, Nicholas; Abenhaim, Haim Arie

2018-05-01

The prevalence of home birth in the United States is increasing, although its safety is undetermined. The objective of this study was to investigate the effects of obstetrical risk factors on early neonatal death in planned home births delivering at home. The authors conducted a retrospective 3-year cohort study consisting of planned home births that delivered at home in the United States between 2011 and 2013. The study excluded infants with congenital and chromosomal anomalies and infants born at ≤34 weeks' gestation. Multivariate logistic regression models were used to estimate the adjusted effects of individual obstetrical variables on early neonatal deaths within 7 days of delivery. During the study period, there were 71 704 planned and delivered home births. The overall early neonatal death rate was 1.5 deaths per 1000 planned home births. The risks of early neonatal death were significantly higher in nulliparous births (OR 2.71; 95% CI 1.71-4.31), women with a previous CS (OR 2.62, 95% CI 1.25-5.52), non-vertex presentations (OR 4.27; 95% CI 1.33-13.75), plural births (OR 9.79; 95% CI 4.25-22.57), preterm births (OR 4.68; 95% CI 2.30-9.51), and births at ≥41 weeks of gestation (OR 1.76; 95% CI 1.09-2.84). Early neonatal deaths occur more commonly in certain obstetrical contexts. Patient selection may reduce adverse neonatal outcomes among planned home births. Copyright © 2018 Society of Obstetricians and Gynaecologists of Canada. Published by Elsevier Inc. All rights reserved.

The Mother and Infant Home Visiting Program Evaluation: Early Findings on the Maternal, Infant, and Early Childhood Home Visiting Program. A Report to Congress. OPRE Report 2015-11

ERIC Educational Resources Information Center

Michalopoulos, Charles; Lee, Helen; Duggan, Anne; Lundquist, Erika; Tso, Ada; Crowne, Sarah Shea; Burrell, Lori; Somers, Jennifer; Filene, Jill H.; Knox, Virginia

2015-01-01

"The Mother and Infant Home Visiting Program Evaluation: Early Findings on the Maternal, Infant, and Early Childhood Home Visiting Program--A Report to Congress" presents the first findings from the Mother and Infant Home Visiting Program Evaluation (MIHOPE), the legislatively mandated national evaluation of the Maternal, Infant, and…

Health smart home for elders - a tool for automatic recognition of activities of daily living.

PubMed

Le, Xuan Hoa Binh; Di Mascolo, Maria; Gouin, Alexia; Noury, Norbert

2008-01-01

Elders live preferently in their own home, but with aging comes the loss of autonomy and associated risks. In order to help them live longer in safe conditions, we need a tool to automatically detect their loss of autonomy by assessing the degree of performance of activities of daily living. This article presents an approach enabling the activities recognition of an elder living alone in a home equipped with noninvasive sensors.

Patients' expectations of coming home with Very Early Supported Discharge and home rehabilitation after stroke - an interview study.

PubMed

Nordin, Åsa; Sunnerhagen, Katharina S; Axelsson, Åsa B

2015-11-16

An Early Supported Discharge (ESD) and rehabilitation from a coordinated team in the home environment is recommended in several high-income countries for patients with mild to moderate symptoms after stroke. Returning home from the hospital takes place very early in Sweden today (12 days post stroke), thus the term Very Early Supported Discharge (VESD) is used in the current study. The aim of this study was to describe patients' expectations of coming home very early after stroke with support and rehabilitations at home. This is an interview study nested within a randomized controlled trial; Gothenburg Very Early Supported Discharge (GOTVED), comparing VESD containing a home rehabilitation intervention from a coordinated team to conventional care after stroke. Ten participants (median age 69) with mild to moderate stroke symptoms (NHISS 0 to 8 points) were recruited from the intervention group in GOTVED. Interviews were conducted 0-5 days before discharge and the material was analyzed with qualitative content analysis. Four main categories containing 11 subcategories were found. The VESD team was expected to provide "Support towards independency", by helping the participants to manage and feel safe at home as well as to regain earlier abilities. The very early discharge gave rise to expectations of coming home to "A new and unknown situation", causing worries not to manage at home and to leave the safe environment at the ward. A fear to suffer a recurrent stroke when being out of reach of immediate professional help was also pronounced. In contrast to these feelings of insecurity and fear, "Returning to one's own setting" described the participants longing home, where they would become autonomous and capable people again. They expected this to facilitate recovery and rehabilitation. "A new everyday life" waited for the participants at home and this was expected to be challenging. Different strategies to deal with these challenges were described. The participants

Asymmetries in Early Word Recognition: The Case of Stops and Fricatives

ERIC Educational Resources Information Center

Altvater-Mackensen, Nicole; van der Feest, Suzanne V. H.; Fikkert, Paula

2014-01-01

Toddlers' discrimination of native phonemic contrasts is generally unproblematic. Yet using those native contrasts in word learning and word recognition can be more challenging. In this article, we investigate perceptual versus phonological explanations for asymmetrical patterns found in early word recognition. We systematically investigated the…

Reductions in Sepsis Mortality and Costs After Design and Implementation of a Nurse-Based Early Recognition and Response Program

PubMed Central

Jones, Stephen L.; Ashton, Carol M.; Kiehne, Lisa; Gigliotti, Elizabeth; Bell-Gordon, Charyl; Disbot, Maureen; Masud, Faisal; Shirkey, Beverly A.; Wray, Nelda P.

2016-01-01

Background Sepsis is a leading cause of death, but evidence suggests that early recognition and prompt intervention can save lives. In 2005 Houston Methodist Hospital prioritized sepsis detection and management in its ICU. In late 2007, because of marginal effects on sepsis death rates, the focus shifted to designing a program that would be readily used by nurses and ensure early recognition of patients showing signs suspicious for sepsis, as well as the institution of prompt, evidence-based interventions to diagnose and treat it. Methods The intervention had four components: organizational commitment and data-based leadership; development and integration of an early sepsis screening tool into the electronic health record; creation of screening and response protocols; and education and training of nurses. Twice-daily screening of patients on targeted units was conducted by bedside nurses; nurse practitioners initiated definitive treatment as indicated. Evaluation focused on extent of implementation, trends in inpatient mortality, and, for Medicare beneficiaries, a before-after (2008–2011) comparison of outcomes and costs. A federal grant in 2012 enabled expansion of the program. Results By year 3 (2011) 33% of inpatients were screened (56,190 screens in 9,718 unique patients), up from 10% in year 1 (2009). Inpatient sepsis-associated death rates decreased from 29.7% in the preimplementation period (2006–2008) to 21.1% after implementation (2009–2014). Death rates and hospital costs for Medicare beneficiaries decreased from preimplementation levels without a compensatory increase in discharges to postacute care. Conclusion This program has been associated with lower inpatient death rates and costs. Further testing of the robustness and exportability of the program is under way. PMID:26484679

Recall and recognition of verbal paired associates in early Alzheimer's disease.

PubMed

Lowndes, G J; Saling, M M; Ames, D; Chiu, E; Gonzalez, L M; Savage, G R

2008-07-01

The primary impairment in early Alzheimer's disease (AD) is encoding/consolidation, resulting from medial temporal lobe (MTL) pathology. AD patients perform poorly on cued-recall paired associate learning (PAL) tasks, which assess the ability of the MTLs to encode relational memory. Since encoding and retrieval processes are confounded within performance indexes on cued-recall PAL, its specificity for AD is limited. Recognition paradigms tend to show good specificity for AD, and are well tolerated, but are typically less sensitive than recall tasks. Associate-recognition is a novel PAL task requiring a combination of recall and recognition processes. We administered a verbal associate-recognition test and cued-recall analogue to 22 early AD patients and 55 elderly controls to compare their ability to discriminate these groups. Both paradigms used eight arbitrarily related word pairs (e.g., pool-teeth) with varying degrees of imageability. Associate-recognition was equally effective as the cued-recall analogue in discriminating the groups, and logistic regression demonstrated classification rates by both tasks were equivalent. These preliminary findings provide support for the clinical value of this recognition tool. Conceptually it has potential for greater specificity in informing neuropsychological diagnosis of AD in clinical samples but this requires further empirical support.

Prosodic Phonological Representations Early in Visual Word Recognition

ERIC Educational Resources Information Center

Ashby, Jane; Martin, Andrea E.

2008-01-01

Two experiments examined the nature of the phonological representations used during visual word recognition. We tested whether a minimality constraint (R. Frost, 1998) limits the complexity of early representations to a simple string of phonemes. Alternatively, readers might activate elaborated representations that include prosodic syllable…

Work-Related Stressors Among Maternal, Infant, and Early Childhood Home Visiting (MIECHV) Home Visitors: A Qualitative Study.

PubMed

Alitz, Paige J; Geary, Shana; Birriel, Pamela C; Sayi, Takudzwa; Ramakrishnan, Rema; Balogun, Omotola; Salloum, Alison; Marshall, Jennifer T

2018-05-31

Background The Florida Maternal, Infant, and Early Childhood Home Visiting (MIECHV) program delivers evidence-based home visiting services to over 1400 families each year. Home visitors are integral in providing resources for families to promote healthy pregnancy, child development, family wellness, and self-sufficiency. Due to the nature of this work, home visitors experience work-related pressures and stressors that can impact staff well-being and retention. Objectives The purpose of this study was to understand primary sources of work-related stress experienced by home visitors, subsequent effects on their engagement with program participants, and to learn of coping mechanisms used to manage stress. Methods In 2015, Florida MIECHV program evaluators conducted ten focus groups with 49 home visitors during which they ranked and discussed their top sources of work-related stress. Qualitative analysis was conducted to identify emergent themes in work-related stressors and coping/supports. Results Across all sites, the burden of paperwork and data entry were the highest ranked work-related stressors perceived as interfering with home visitors' engagement with participants. The second-highest ranked stressors included caseload management, followed by a lack of resources for families, and dangerous environments. Home visitors reported gratification in their helping relationships families, and relied on coworkers or supervisors as primary sources of workplace support along with self-care (e.g. mini-vacations, recreation, and counseling). Conclusions for practice Florida MIECHV home visitors across all ten focus groups shared similar work-related stressors that they felt diminished engagement with program participants and could impact participant and staff retention. In response, Florida MIECHV increased resources to support home visitor compensation and reduce caseloads, and obtained a competitive award from HRSA to implement a mindfulness-based stress reduction

Impaired Facial Expression Recognition in Children with Temporal Lobe Epilepsy: Impact of Early Seizure Onset on Fear Recognition

ERIC Educational Resources Information Center

Golouboff, Nathalie; Fiori, Nicole; Delalande, Olivier; Fohlen, Martine; Dellatolas, Georges; Jambaque, Isabelle

2008-01-01

The amygdala has been implicated in the recognition of facial emotions, especially fearful expressions, in adults with early-onset right temporal lobe epilepsy (TLE). The present study investigates the recognition of facial emotions in children and adolescents, 8-16 years old, with epilepsy. Twenty-nine subjects had TLE (13 right, 16 left) and…

Formal and informal home learning activities in relation to children's early numeracy and literacy skills: the development of a home numeracy model.

PubMed

Skwarchuk, Sheri-Lynn; Sowinski, Carla; LeFevre, Jo-Anne

2014-05-01

The purpose of this study was to propose and test a model of children's home numeracy experience based on Sénéchal and LeFevre's home literacy model (Child Development, 73 (2002) 445-460). Parents of 183 children starting kindergarten in the fall (median child age=58 months) completed an early home learning experiences questionnaire. Most of the children whose parents completed the questionnaire were recruited for numeracy and literacy testing 1 year later (along with 32 children from the inner city). Confirmatory factor analyses were used to reduce survey items, and hierarchical regression analyses were used to predict the relation among parents' attitudes, academic expectations for their children, reports of formal and informal numeracy, and literacy home practices on children's test scores. Parental reports of formal home numeracy practices (e.g., practicing simple sums) predicted children's symbolic number system knowledge, whereas reports of informal exposure to games with numerical content (measured indirectly through parents' knowledge of children's games) predicted children's non-symbolic arithmetic, as did numeracy attitudes (e.g., parents' enjoyment of numeracy). The home literacy results replicated past findings; parental reports of formal literacy practices (e.g., helping their children to read words) predicted children's word reading, whereas reports of informal experiences (i.e., frequency of shared reading measured indirectly through parents' storybook knowledge) predicted children's vocabulary. These findings support a multifaceted model of children's early numeracy environment, with different types of early home experiences (formal and informal) predicting different numeracy outcomes. Copyright © 2013 Elsevier Inc. All rights reserved.

Acquisition of Malay word recognition skills: lessons from low-progress early readers.

PubMed

Lee, Lay Wah; Wheldall, Kevin

2011-02-01

Malay is a consistent alphabetic orthography with complex syllable structures. The focus of this research was to investigate word recognition performance in order to inform reading interventions for low-progress early readers. Forty-six Grade 1 students were sampled and 11 were identified as low-progress readers. The results indicated that both syllable awareness and phoneme blending were significant predictors of word recognition, suggesting that both syllable and phonemic grain-sizes are important in Malay word recognition. Item analysis revealed a hierarchical pattern of difficulty based on the syllable and the phonic structure of the words. Error analysis identified the sources of errors to be errors due to inefficient syllable segmentation, oversimplification of syllables, insufficient grapheme-phoneme knowledge and inefficient phonemic code assembly. Evidence also suggests that direct instruction in syllable segmentation, phonemic awareness and grapheme-phoneme correspondence is necessary for low-progress readers to acquire word recognition skills. Finally, a logical sequence to teach grapheme-phoneme decoding in Malay is suggested. Copyright © 2010 John Wiley & Sons, Ltd.

Genetics Home Reference: hereditary myopathy with early respiratory failure

MedlinePlus

... Home Health Conditions HMERF Hereditary myopathy with early respiratory failure Printable PDF Open All Close All Enable ... expand/collapse boxes. Description Hereditary myopathy with early respiratory failure ( HMERF ) is an inherited muscle disease that ...

The sweet-home project: audio technology in smart homes to improve well-being and reliance.

PubMed

Vacher, Michel; Istrate, Dan; Portet, François; Joubert, Thierry; Chevalier, Thierry; Smidtas, Serge; Meillon, Brigitte; Lecouteux, Benjamin; Sehili, Mohamed; Chahuara, Pedro; Méniard, Sylvain

2011-01-01

The Sweet-Home project aims at providing audio-based interaction technology that lets the user have full control over their home environment, at detecting distress situations and at easing the social inclusion of the elderly and frail population. This paper presents an overview of the project focusing on the multimodal sound corpus acquisition and labelling and on the investigated techniques for speech and sound recognition. The user study and the recognition performances show the interest of this audio technology.

Depression recognition and capacity for self-report among ethnically diverse nursing homes residents: Evidence of disparities in screening.

PubMed

Chun, Audrey; Reinhardt, Joann P; Ramirez, Mildred; Ellis, Julie M; Silver, Stephanie; Burack, Orah; Eimicke, Joseph P; Cimarolli, Verena; Teresi, Jeanne A

2017-12-01

To examine agreement between Minimum Data Set clinician ratings and researcher assessments of depression among ethnically diverse nursing home residents using the 9-item Patient Health Questionnaire. Although depression is common among nursing homes residents, its recognition remains a challenge. Observational baseline data from a longitudinal intervention study. Sample of 155 residents from 12 long-term care units in one US facility; 50 were interviewed in Spanish. Convergence between clinician and researcher ratings was examined for (i) self-report capacity, (ii) suicidal ideation, (iii) at least moderate depression, (iv) Patient Health Questionnaire severity scores. Experiences by clinical raters using the depression assessment were analysed. The intraclass correlation coefficient was used to examine concordance and Cohen's kappa to examine agreement between clinicians and researchers. Moderate agreement (κ = 0.52) was observed in determination of capacity and poor to fair agreement in reporting suicidal ideation (κ = 0.10-0.37) across time intervals. Poor agreement was observed in classification of at least moderate depression (κ = -0.02 to 0.24), lower than the maximum kappa obtainable (0.58-0.85). Eight assessors indicated problems assessing Spanish-speaking residents. Among Spanish speakers, researchers identified 16% with Patient Health Questionnaire scores of 10 or greater, and 14% with thoughts of self-harm whilst clinicians identified 6% and 0%, respectively. This study advances the field of depression recognition in long-term care by identification of possible challenges in assessing Spanish speakers. Use of the Patient Health Questionnaire requires further investigation, particularly among non-English speakers. Depression screening for ethnically diverse nursing home residents is required, as underreporting of depression and suicidal ideation among Spanish speakers may result in lack of depression recognition and referral for evaluation and

Early Detection of Severe Apnoea through Voice Analysis and Automatic Speaker Recognition Techniques

NASA Astrophysics Data System (ADS)

Fernández, Ruben; Blanco, Jose Luis; Díaz, David; Hernández, Luis A.; López, Eduardo; Alcázar, José

This study is part of an on-going collaborative effort between the medical and the signal processing communities to promote research on applying voice analysis and Automatic Speaker Recognition techniques (ASR) for the automatic diagnosis of patients with severe obstructive sleep apnoea (OSA). Early detection of severe apnoea cases is important so that patients can receive early treatment. Effective ASR-based diagnosis could dramatically cut medical testing time. Working with a carefully designed speech database of healthy and apnoea subjects, we present and discuss the possibilities of using generative Gaussian Mixture Models (GMMs), generally used in ASR systems, to model distinctive apnoea voice characteristics (i.e. abnormal nasalization). Finally, we present experimental findings regarding the discriminative power of speaker recognition techniques applied to severe apnoea detection. We have achieved an 81.25 % correct classification rate, which is very promising and underpins the interest in this line of inquiry.

Early Educational Intervention, Early Cumulative Risk, and the Early Home Environment as Predictors of Young Adult Outcomes Within a High-Risk Sample

PubMed Central

Pungello, Elizabeth P.; Kainz, Kirsten; Burchinal, Margaret; Wasik, Barbara H.; Sparling, Joseph J.; Ramey, Craig T.; Campbell, Frances A.

2009-01-01

The extent to which early educational intervention, early cumulative risk, and the early home environment were associated with young adult outcomes was investigated in a sample of 139 young adults (age 21) from high-risk families enrolled in randomized trials of early intervention. Positive effects of treatment were found for education attainment, attending college, and skilled employment; negative effects of risk were found for education attainment, graduating high school, being employed and avoiding teen parenthood. The home mediated the effects of risk for graduating high school, but not being employed or teen parenthood. Evidence for moderated mediation was found for educational attainment; the home mediated the association between risk and educational attainment for the control group, but not the treated group. PMID:20331676

Convolutional Neural Network-Based Embarrassing Situation Detection under Camera for Social Robot in Smart Homes

PubMed Central

Sheng, Weihua; Junior, Francisco Erivaldo Fernandes; Li, Shaobo

2018-01-01

Recent research has shown that the ubiquitous use of cameras and voice monitoring equipment in a home environment can raise privacy concerns and affect human mental health. This can be a major obstacle to the deployment of smart home systems for elderly or disabled care. This study uses a social robot to detect embarrassing situations. Firstly, we designed an improved neural network structure based on the You Only Look Once (YOLO) model to obtain feature information. By focusing on reducing area redundancy and computation time, we proposed a bounding-box merging algorithm based on region proposal networks (B-RPN), to merge the areas that have similar features and determine the borders of the bounding box. Thereafter, we designed a feature extraction algorithm based on our improved YOLO and B-RPN, called F-YOLO, for our training datasets, and then proposed a real-time object detection algorithm based on F-YOLO (RODA-FY). We implemented RODA-FY and compared models on our MAT social robot. Secondly, we considered six types of situations in smart homes, and developed training and validation datasets, containing 2580 and 360 images, respectively. Meanwhile, we designed three types of experiments with four types of test datasets composed of 960 sample images. Thirdly, we analyzed how a different number of training iterations affects our prediction estimation, and then we explored the relationship between recognition accuracy and learning rates. Our results show that our proposed privacy detection system can recognize designed situations in the smart home with an acceptable recognition accuracy of 94.48%. Finally, we compared the results among RODA-FY, Inception V3, and YOLO, which indicate that our proposed RODA-FY outperforms the other comparison models in recognition accuracy. PMID:29757211

Convolutional Neural Network-Based Embarrassing Situation Detection under Camera for Social Robot in Smart Homes.

PubMed

Yang, Guanci; Yang, Jing; Sheng, Weihua; Junior, Francisco Erivaldo Fernandes; Li, Shaobo

2018-05-12

Recent research has shown that the ubiquitous use of cameras and voice monitoring equipment in a home environment can raise privacy concerns and affect human mental health. This can be a major obstacle to the deployment of smart home systems for elderly or disabled care. This study uses a social robot to detect embarrassing situations. Firstly, we designed an improved neural network structure based on the You Only Look Once (YOLO) model to obtain feature information. By focusing on reducing area redundancy and computation time, we proposed a bounding-box merging algorithm based on region proposal networks (B-RPN), to merge the areas that have similar features and determine the borders of the bounding box. Thereafter, we designed a feature extraction algorithm based on our improved YOLO and B-RPN, called F-YOLO, for our training datasets, and then proposed a real-time object detection algorithm based on F-YOLO (RODA-FY). We implemented RODA-FY and compared models on our MAT social robot. Secondly, we considered six types of situations in smart homes, and developed training and validation datasets, containing 2580 and 360 images, respectively. Meanwhile, we designed three types of experiments with four types of test datasets composed of 960 sample images. Thirdly, we analyzed how a different number of training iterations affects our prediction estimation, and then we explored the relationship between recognition accuracy and learning rates. Our results show that our proposed privacy detection system can recognize designed situations in the smart home with an acceptable recognition accuracy of 94.48%. Finally, we compared the results among RODA-FY, Inception V3, and YOLO, which indicate that our proposed RODA-FY outperforms the other comparison models in recognition accuracy.

Home-based Early Intervention on Auditory and Speech Development in Mandarin-speaking Deaf Infants and Toddlers with Chronological Aged 7-24 Months.

PubMed

Yang, Ying; Liu, Yue-Hui; Fu, Ming-Fu; Li, Chun-Lin; Wang, Li-Yan; Wang, Qi; Sun, Xi-Bin

2015-08-20

Early auditory and speech development in home-based early intervention of infants and toddlers with hearing loss younger than 2 years are still spare in China. This study aimed to observe the development of auditory and speech in deaf infants and toddlers who were fitted with hearing aids and/or received cochlear implantation between the chronological ages of 7-24 months, and analyze the effect of chronological age and recovery time on auditory and speech development in the course of home-based early intervention. This longitudinal study included 55 hearing impaired children with severe and profound binaural deafness, who were divided into Group A (7-12 months), Group B (13-18 months) and Group C (19-24 months) based on the chronological age. Categories auditory performance (CAP) and speech intelligibility rating scale (SIR) were used to evaluate auditory and speech development at baseline and 3, 6, 9, 12, 18, and 24 months of habilitation. Descriptive statistics were used to describe demographic features and were analyzed by repeated measures analysis of variance. With 24 months of hearing intervention, 78% of the patients were able to understand common phrases and conversation without lip-reading, 96% of the patients were intelligible to a listener. In three groups, children showed the rapid growth of trend features in each period of habilitation. CAP and SIR scores have developed rapidly within 24 months after fitted auxiliary device in Group A, which performed much better auditory and speech abilities than Group B (P < 0.05) and Group C (P < 0.05). Group B achieved better results than Group C, whereas no significant differences were observed between Group B and Group C (P > 0.05). The data suggested the early hearing intervention and home-based habilitation benefit auditory and speech development. Chronological age and recovery time may be major factors for aural verbal outcomes in hearing impaired children. The development of auditory and speech in hearing

Exploratory Home Economics for Early Adolescents.

ERIC Educational Resources Information Center

Iowa State Univ. of Science and Technology, Ames. Dept. of Home Economics Education.

This guide is intended to assist teachers in using a life skills approach to introducing early adolescents to the five basic areas of home economics. The following topics are covered in the individual units: life skills in family communication (hearing and listening, speaking, writing, obtaining and responding to feedback, holding a sustained…

Schedules for home visits in the early postpartum period.

PubMed

Yonemoto, Naohiro; Dowswell, Therese; Nagai, Shuko; Mori, Rintaro

2017-08-02

Maternal complications including psychological and mental health problems and neonatal morbidity have been commonly observed in the postpartum period. Home visits by health professionals or lay supporters in the weeks following the birth may prevent health problems from becoming chronic with long-term effects on women, their babies, and their families. To assess outcomes for women and babies of different home-visiting schedules during the early postpartum period. The review focuses on the frequency of home visits, the duration (when visits ended) and intensity, and on different types of home-visiting interventions. We searched the Cochrane Pregnancy and Childbirth Group's Trials Register (28 January 2013) and reference lists of retrieved articles. Randomised controlled trials (RCTs) (including cluster-RCTs) comparing different types of home-visiting interventions enrolling participants in the early postpartum period (up to 42 days after birth). We excluded studies in which women were enrolled and received an intervention during the antenatal period (even if the intervention continued into the postnatal period) and studies recruiting only women from specific high-risk groups. (e.g. women with alcohol or drug problems). Study eligibility was assessed by at least two review authors. Data extraction and assessment of risk of bias were carried out independently by at least two review authors. Data were entered into Review Manager software. We included data from 12 randomised trials with data for more than 11,000 women. The trials were carried out in countries across the world, and in both high- and low-resource settings. In low-resource settings women receiving usual care may have received no additional postnatal care after early hospital discharge.The interventions and control conditions varied considerably across studies with trials focusing on three broad types of comparisons: schedules involving more versus fewer postnatal home visits (five studies), schedules

An IBeacon-Based Location System for Smart Home Control.

PubMed

Liu, Qinghe; Yang, Xinshuang; Deng, Lizhen

2018-06-11

Indoor location and intelligent control system can bring convenience to people’s daily life. In this paper, an indoor control system is designed to achieve equipment remote control by using low-energy Bluetooth (BLE) beacon and Internet of Things (IoT) technology. The proposed system consists of five parts: web server, home gateway, smart terminal, smartphone app and BLE beacons. In the web server, fingerprint matching based on RSSI stochastic characteristic and posture recognition model based on geomagnetic sensing are used to establish a more efficient equipment control system, combined with Pedestrian Dead Reckoning (PDR) technology to improve the accuracy of location. A personalized menu of remote “one-click” control is finally offered to users in a smartphone app. This smart home control system has been implemented by hardware, and precision and stability tests have been conducted, which proved the practicability and good user experience of this solution.

Home Visiting Family Support Programs: Benefits of the Maternal, Infant, and Early Childhood Home Visiting Program. Fact Sheet

ERIC Educational Resources Information Center

Home Visiting Campaign, 2015

2015-01-01

The federally funded, locally administered Maternal, Infant, and Early Childhood Home Visiting Program sponsors family support programs that are often called "home visiting" because they take place in the homes of at-risk families. These families often lack support, experience, and knowledge of basic parenting skills. Because children…

The Impacts of Home-Based Early Behavioural Intervention Programmes on Families of Children with Autism

ERIC Educational Resources Information Center

Trudgeon, Clare; Carr, Deborah

2007-01-01

Background: In the UK, Early Intensive Behavioural Intervention [EIBI] programmes typically are conducted within the homes of children with autism. Despite evidence for their effectiveness in producing appreciable developmental gains in children with autism, a concern expressed about EIBI programmes is that stressful effects from the high levels…

Scabies outbreaks in residential care homes: factors associated with late recognition, burden and impact. A mixed methods study in England.

PubMed

Hewitt, K A; Nalabanda, A; Cassell, J A

2015-05-01

Scabies is an important public health problem in residential care homes. Delayed diagnosis contributes to outbreaks, which may be prolonged and difficult to control. We investigated factors influencing outbreak recognition, diagnosis and treatment, and staff experiences of outbreak control, identifying areas for intervention. We carried out a semi-structured survey of managers, affected residents and staff of seven care homes reporting suspected scabies outbreaks in southern England over a 6-month period. Attack rates ranged from 2% to 50%, and most cases had dementia (37/39, 95%). Cases were diagnosed clinically by GPs (59%) or home staff (41%), none by dermatologists. Most outbreaks were attributable to avoidably late diagnosis of the index case. Participants reported considerable challenges in managing scabies outbreaks, including late diagnosis and recognition of outbreaks; logistically difficult mass treatment; distressing treatment processes and high costs. This study demonstrates the need for improved support for care homes in detecting and managing these outbreaks.

Information technology sophistication in nursing homes.

PubMed

Alexander, Gregory L; Wakefield, Douglas S

2009-07-01

There is growing recognition that a more sophisticated information technology (IT) infrastructure is needed to improve the quality of nursing home care in the United States. The purpose of this study was to explore the concept of IT sophistication in nursing homes considering the level of technological diversity, maturity and level of integration in resident care, clinical support, and administration. Twelve IT stakeholders were interviewed from 4 nursing homes considered to have high IT sophistication using focus groups and key informant interviews. Common themes were derived using qualitative analytics and axial coding from field notes collected during interviews and focus groups. Respondents echoed the diversity of the innovative IT systems being implemented; these included resident alerting mechanisms for clinical decision support, enhanced reporting capabilities of patient-provider interactions, remote monitoring, and networking among affiliated providers. Nursing home IT is in its early stages of adoption; early adopters are beginning to realize benefits across clinical domains including resident care, clinical support, and administrative activities. The most important thread emerging from these discussions was the need for further interface development between IT systems to enhance integrity and connectivity. The study shows that some early adopters of sophisticated IT systems in nursing homes are beginning to achieve added benefit for resident care, clinical support, and administrative activities.

78 FR 53150 - Advisory Committee on the Maternal, Infant and Early Childhood Home Visiting Program Evaluation...

Federal Register 2010, 2011, 2012, 2013, 2014

2013-08-28

... and Services Administration Advisory Committee on the Maternal, Infant and Early Childhood Home... Maternal, Infant and Early Childhood Home Visiting Program Evaluation (MIECHVE). Authority: Section 10(a)(2... meeting: Name: Advisory Committee on the Maternal, Infant, and Early Childhood Home Visiting Program...

76 FR 71979 - Advisory Committee on the Maternal, Infant and Early Childhood Home Visiting Program Evaluation...

Federal Register 2010, 2011, 2012, 2013, 2014

2011-11-21

... and Services Administration Advisory Committee on the Maternal, Infant and Early Childhood Home...: Name: Advisory Committee on the Maternal, Infant and Early Childhood Home Visiting Program Evaluation..., DC 20005. (202) 289-7600. The Advisory Committee on the Maternal, Infant and Early Childhood Home...

Pattern recognition applied to infrared images for early alerts in fog

NASA Astrophysics Data System (ADS)

Boucher, Vincent; Marchetti, Mario; Dumoulin, Jean; Cord, Aurélien

2014-09-01

Fog conditions are the cause of severe car accidents in western countries because of the poor induced visibility. Its forecast and intensity are still very difficult to predict by weather services. Infrared cameras allow to detect and to identify objects in fog while visibility is too low for eye detection. Over the past years, the implementation of cost effective infrared cameras on some vehicles has enabled such detection. On the other hand pattern recognition algorithms based on Canny filters and Hough transformation are a common tool applied to images. Based on these facts, a joint research program between IFSTTAR and Cerema has been developed to study the benefit of infrared images obtained in a fog tunnel during its natural dissipation. Pattern recognition algorithms have been applied, specifically on road signs which shape is usually associated to a specific meaning (circular for a speed limit, triangle for an alert, …). It has been shown that road signs were detected early enough in images, with respect to images in the visible spectrum, to trigger useful alerts for Advanced Driver Assistance Systems.

Human Activity Recognition from Smart-Phone Sensor Data using a Multi-Class Ensemble Learning in Home Monitoring.

PubMed

Ghose, Soumya; Mitra, Jhimli; Karunanithi, Mohan; Dowling, Jason

2015-01-01

Home monitoring of chronically ill or elderly patient can reduce frequent hospitalisations and hence provide improved quality of care at a reduced cost to the community, therefore reducing the burden on the healthcare system. Activity recognition of such patients is of high importance in such a design. In this work, a system for automatic human physical activity recognition from smart-phone inertial sensors data is proposed. An ensemble of decision trees framework is adopted to train and predict the multi-class human activity system. A comparison of our proposed method with a multi-class traditional support vector machine shows significant improvement in activity recognition accuracies.

An Evaluation of Virtual Home Visits in Early Intervention: Feasibility of "Virtual Intervention"

ERIC Educational Resources Information Center

Olsen, Sue; Fiechtl, Barbara; Rule, Sarah

2012-01-01

The provision of consistent high quality home- and community-based services to children with disabilities living in rural and frontier areas is a challenge. Distance, weather, geographic terrain (mountains, canyons), and shortages of pediatric early interventionists are among the challenges to ensuring appropriate and equitable services.…

Differential Effects of Home and Preschool Learning Environments on Early Language Development

ERIC Educational Resources Information Center

Schmerse, Daniel; Anders, Yvonne; Flöter, Manja; Wieduwilt, Nadine; Roßbach, Hans-Günther; Tietze, Wolfgang

2018-01-01

The present study is based on longitudinal data from a German early childhood education and care (ECEC) governmental initiative assessing children's grammatical and vocabulary development between 2;6 and 4;0 years (N = 1,331), quality of the home learning environment and quality of the preschool setting. Results showed that the quality of the home…

[Implementation of an early rheumatoid athritis unit for the early recognition and treatment of the disease].

PubMed

Espinoza, Francisco; Monckeberg, Gustavo; Hassi, Isabel; Queirolo, Alejandra; Chicao, Fernando; Sandoval, Ximena; Jorquera, Evelyn; Badilla, Alejandro

2018-01-01

Early recognition of rheumatoid arthritis (RA) provides clinical benefits in terms of remission induction, reduced disease progression, and eventually treatment free remission. To describe the setting of a Unit devoted exclusively to the recognition and treatment of early RA in patients referred from primary healthcare centers (PHC) in Chile. Patients were referred from nine participating PHC from 2014 through 2016. PHC physicians received a formal training to enhance criteria recognition and program adherence. Mandatory referral criteria were an age above 17 years, and arthralgia of less than 1-year duration, plus at least one of the following: morning stiffness of more than 30 minutes, swelling involving more than 3 joints for more than 1 month, a positive squeeze test or abnormal inflammatory serum markers. One hundred twenty patients aged 45 ± 12 years (90% women) were assessed at the early rheumatoid arthritis unit. Median time to referral from PHC to the Unit was 14.6 days. The median duration of symptoms for the overall sample of patients was 10.8 months. RA was identified in 43 patients (36%), with a delay between onset of symptoms and diagnosis of 8.3 months. Regarding the performance of referral criteria, the most sensitive was morning stiffness (80%, sensitivity 95% confidence intervals (CI) 64-89%) and synovitis was the most specific (specificity 83%, 95% CI 72-90%). The positive predictive value of the three clinical criteria altogether was 68.1% (95% CI 47-83%). Institution of an early RA unit was feasible within the Chilean healthcare system enabling the identification of early RA in one-third of patients.

76 FR 12978 - Advisory Committee on the Maternal, Infant and Early Childhood Home Visiting Program Evaluation...

Federal Register 2010, 2011, 2012, 2013, 2014

2011-03-09

... Administration for Children and Families Advisory Committee on the Maternal, Infant and Early Childhood Home...: Advisory Committee on the Maternal, Infant and Early Childhood Home Visiting Program Evaluation. Date and... and Early Childhood Home Visiting Program Evaluation will meet for its first session on Wednesday...

Welcome Home and Early Start: An Assessment of Program Quality and Outcomes

ERIC Educational Resources Information Center

Daro, Deborah, Howard, Eboni; Tobin, Jennifer; Harden, Allen

2005-01-01

Chapin Hall Center for Children at the University of Chicago, in collaboration with Westat Associates, designed and implemented a comprehensive evaluation of the Early Childhood Initiative's (ECI) two home visitation programs: Welcome Home, a universal home visitation program that provides a single home visit to all first-time and teen parents,…

Implementing and Preparing for Home Visits

ERIC Educational Resources Information Center

McWilliam, R. A.

2012-01-01

The most common setting for early intervention services for infants and toddlers with disabilities and their families is the home. This article discusses home- and community-based early intervention and how the routines-based interview (RBI) can set the stage for successful home visits. It also addresses what has been learned about home visiting,…

Development of a brain MRI-based hidden Markov model for dementia recognition.

PubMed

Chen, Ying; Pham, Tuan D

2013-01-01

Dementia is an age-related cognitive decline which is indicated by an early degeneration of cortical and sub-cortical structures. Characterizing those morphological changes can help to understand the disease development and contribute to disease early prediction and prevention. But modeling that can best capture brain structural variability and can be valid in both disease classification and interpretation is extremely challenging. The current study aimed to establish a computational approach for modeling the magnetic resonance imaging (MRI)-based structural complexity of the brain using the framework of hidden Markov models (HMMs) for dementia recognition. Regularity dimension and semi-variogram were used to extract structural features of the brains, and vector quantization method was applied to convert extracted feature vectors to prototype vectors. The output VQ indices were then utilized to estimate parameters for HMMs. To validate its accuracy and robustness, experiments were carried out on individuals who were characterized as non-demented and mild Alzheimer's diseased. Four HMMs were constructed based on the cohort of non-demented young, middle-aged, elder and demented elder subjects separately. Classification was carried out using a data set including both non-demented and demented individuals with a wide age range. The proposed HMMs have succeeded in recognition of individual who has mild Alzheimer's disease and achieved a better classification accuracy compared to other related works using different classifiers. Results have shown the ability of the proposed modeling for recognition of early dementia. The findings from this research will allow individual classification to support the early diagnosis and prediction of dementia. By using the brain MRI-based HMMs developed in our proposed research, it will be more efficient, robust and can be easily used by clinicians as a computer-aid tool for validating imaging bio-markers for early prediction of dementia.

Development of a brain MRI-based hidden Markov model for dementia recognition

PubMed Central

2013-01-01

Background Dementia is an age-related cognitive decline which is indicated by an early degeneration of cortical and sub-cortical structures. Characterizing those morphological changes can help to understand the disease development and contribute to disease early prediction and prevention. But modeling that can best capture brain structural variability and can be valid in both disease classification and interpretation is extremely challenging. The current study aimed to establish a computational approach for modeling the magnetic resonance imaging (MRI)-based structural complexity of the brain using the framework of hidden Markov models (HMMs) for dementia recognition. Methods Regularity dimension and semi-variogram were used to extract structural features of the brains, and vector quantization method was applied to convert extracted feature vectors to prototype vectors. The output VQ indices were then utilized to estimate parameters for HMMs. To validate its accuracy and robustness, experiments were carried out on individuals who were characterized as non-demented and mild Alzheimer's diseased. Four HMMs were constructed based on the cohort of non-demented young, middle-aged, elder and demented elder subjects separately. Classification was carried out using a data set including both non-demented and demented individuals with a wide age range. Results The proposed HMMs have succeeded in recognition of individual who has mild Alzheimer's disease and achieved a better classification accuracy compared to other related works using different classifiers. Results have shown the ability of the proposed modeling for recognition of early dementia. Conclusion The findings from this research will allow individual classification to support the early diagnosis and prediction of dementia. By using the brain MRI-based HMMs developed in our proposed research, it will be more efficient, robust and can be easily used by clinicians as a computer-aid tool for validating imaging bio

Early recognition of Cushing's disease: a case study.

PubMed

Iuliano, Sherry L; Laws, Edward R

2013-08-01

To present a case study of a 34-year-old woman with Cushing's disease and provide nurse practitioners (NPs) with the understanding of the clinical presentation needed for early recognition and treatment of the disease. A comprehensive review of published literature on Cushing's disease. Findings from history, physical examination, and diagnostic studies of a woman presenting to primary care NPs, physicians and other healthcare providers with multiple symptoms of Cushing's disease. Cushing's disease is the result of the pituitary gland producing excess amounts of adrenocorticotropic hormone (ACTH) causing the overproduction of cortisol. The disease is fairly rare and is seen mostly in women. Common chief complaints include increased facial hair, weight gain, amenorrhea, changes in the face, neck, and abdomen, with muscle wasting of the lower extremities. Untreated, diabetes mellitus and hypertension can occur and increase the patient's morbidity and mortality. Early recognition and appropriate referral can reverse the signs and symptoms over time and lead to a significantly improved quality of life. This case presented the challenges faced by NPs and physicians in diagnosing patients with Cushing's disease. ©2013 The Author(s) ©2013 American Association of Nurse Practitioners.

The Impact of Early Bilingualism on Face Recognition Processes.

PubMed

Kandel, Sonia; Burfin, Sabine; Méary, David; Ruiz-Tada, Elisa; Costa, Albert; Pascalis, Olivier

2016-01-01

Early linguistic experience has an impact on the way we decode audiovisual speech in face-to-face communication. The present study examined whether differences in visual speech decoding could be linked to a broader difference in face processing. To identify a phoneme we have to do an analysis of the speaker's face to focus on the relevant cues for speech decoding (e.g., locating the mouth with respect to the eyes). Face recognition processes were investigated through two classic effects in face recognition studies: the Other-Race Effect (ORE) and the Inversion Effect. Bilingual and monolingual participants did a face recognition task with Caucasian faces (own race), Chinese faces (other race), and cars that were presented in an Upright or Inverted position. The results revealed that monolinguals exhibited the classic ORE. Bilinguals did not. Overall, bilinguals were slower than monolinguals. These results suggest that bilinguals' face processing abilities differ from monolinguals'. Early exposure to more than one language may lead to a perceptual organization that goes beyond language processing and could extend to face analysis. We hypothesize that these differences could be due to the fact that bilinguals focus on different parts of the face than monolinguals, making them more efficient in other race face processing but slower. However, more studies using eye-tracking techniques are necessary to confirm this explanation.

A novel probabilistic framework for event-based speech recognition

NASA Astrophysics Data System (ADS)

Juneja, Amit; Espy-Wilson, Carol

2003-10-01

One of the reasons for unsatisfactory performance of the state-of-the-art automatic speech recognition (ASR) systems is the inferior acoustic modeling of low-level acoustic-phonetic information in the speech signal. An acoustic-phonetic approach to ASR, on the other hand, explicitly targets linguistic information in the speech signal, but such a system for continuous speech recognition (CSR) is not known to exist. A probabilistic and statistical framework for CSR based on the idea of the representation of speech sounds by bundles of binary valued articulatory phonetic features is proposed. Multiple probabilistic sequences of linguistically motivated landmarks are obtained using binary classifiers of manner phonetic features-syllabic, sonorant and continuant-and the knowledge-based acoustic parameters (APs) that are acoustic correlates of those features. The landmarks are then used for the extraction of knowledge-based APs for source and place phonetic features and their binary classification. Probabilistic landmark sequences are constrained using manner class language models for isolated or connected word recognition. The proposed method could overcome the disadvantages encountered by the early acoustic-phonetic knowledge-based systems that led the ASR community to switch to systems highly dependent on statistical pattern analysis methods and probabilistic language or grammar models.

Evolution of divergent DNA recognition specificities in VDE homing endonucleases from two yeast species

PubMed Central

Posey, Karen L.; Koufopanou, Vassiliki; Burt, Austin; Gimble, Frederick S.

2004-01-01

Homing endonuclease genes (HEGs) are mobile DNA elements that are thought to confer no benefit to their host. They encode site-specific DNA endonucleases that perpetuate the element within a species population by homing and disseminate it between species by horizontal transfer. Several yeast species contain the VMA1 HEG that encodes the intein-associated VMA1-derived endonuclease (VDE). The evolutionary state of VDEs from 12 species was assessed by assaying their endonuclease activities. Only two enzymes are active, PI-ZbaI from Zygosaccharomyces bailii and PI-ScaI from Saccharomyces cariocanus. PI-ZbaI cleaves the Z.bailii recognition sequence significantly faster than the Saccharomyces cerevisiae site, which differs at six nucleotide positions. A mutational analysis indicates that PI-ZbaI cleaves the S.cerevisiae substrate poorly due to the absence of a contact that is analogous to one made in PI-SceI between Gln-55 and nucleotides +9/+10. PI-ZbaI cleaves the Z.bailii substrate primarily due to a single base-pair substitution (A/T+5 → T/A+5). Structural modeling of the PI-ZbaI/DNA complex suggests that Arg-331, which is absent in PI-SceI, contacts T/A+5, and the reduced activity observed in a PI-ZbaI R331A mutant provides evidence for this interaction. These data illustrate that homing endonucleases evolve altered specificity as they adapt to recognize alternative target sites. PMID:15280510

Evolution of divergent DNA recognition specificities in VDE homing endonucleases from two yeast species.

PubMed

Posey, Karen L; Koufopanou, Vassiliki; Burt, Austin; Gimble, Frederick S

2004-01-01

Homing endonuclease genes (HEGs) are mobile DNA elements that are thought to confer no benefit to their host. They encode site-specific DNA endonucleases that perpetuate the element within a species population by homing and disseminate it between species by horizontal transfer. Several yeast species contain the VMA1 HEG that encodes the intein-associated VMA1-derived endonuclease (VDE). The evolutionary state of VDEs from 12 species was assessed by assaying their endonuclease activities. Only two enzymes are active, PI-ZbaI from Zygosaccharomyces bailii and PI-ScaI from Saccharomyces cariocanus. PI-ZbaI cleaves the Z.bailii recognition sequence significantly faster than the Saccharomyces cerevisiae site, which differs at six nucleotide positions. A mutational analysis indicates that PI-ZbaI cleaves the S.cerevisiae substrate poorly due to the absence of a contact that is analogous to one made in PI-SceI between Gln-55 and nucleotides +9/+10. PI-ZbaI cleaves the Z.bailii substrate primarily due to a single base-pair substitution (A/T+5 --> T/A+5). Structural modeling of the PI-ZbaI/DNA complex suggests that Arg-331, which is absent in PI-SceI, contacts T/A+5, and the reduced activity observed in a PI-ZbaI R331A mutant provides evidence for this interaction. These data illustrate that homing endonucleases evolve altered specificity as they adapt to recognize alternative target sites.

Accelerometry-Based Activity Recognition and Assessment in Rheumatic and Musculoskeletal Diseases.

PubMed

Billiet, Lieven; Swinnen, Thijs Willem; Westhovens, Rene; de Vlam, Kurt; Van Huffel, Sabine

2016-12-16

One of the important aspects to be considered in rheumatic and musculoskeletal diseases is the patient's activity capacity (or performance), defined as the ability to perform a task. Currently, it is assessed by physicians or health professionals mainly by means of a patient-reported questionnaire, sometimes combined with the therapist's judgment on performance-based tasks. This work introduces an approach to assess the activity capacity at home in a more objective, yet interpretable way. It offers a pilot study on 28 patients suffering from axial spondyloarthritis (axSpA) to demonstrate its efficacy. Firstly, a protocol is introduced to recognize a limited set of six transition activities in the home environment using a single accelerometer. To this end, a hierarchical classifier with the rejection of non-informative activity segments has been developed drawing on both direct pattern recognition and statistical signal features. Secondly, the recognized activities should be assessed, similarly to the scoring performed by patients themselves. This is achieved through the interval coded scoring (ICS) system, a novel method to extract an interpretable scoring system from data. The activity recognition reaches an average accuracy of 93.5%; assessment is currently 64.3% accurate. These results indicate the potential of the approach; a next step should be its validation in a larger patient study.

Exercise recognition for Kinect-based telerehabilitation.

PubMed

Antón, D; Goñi, A; Illarramendi, A

2015-01-01

An aging population and people's higher survival to diseases and traumas that leave physical consequences are challenging aspects in the context of an efficient health management. This is why telerehabilitation systems are being developed, to allow monitoring and support of physiotherapy sessions at home, which could reduce healthcare costs while also improving the quality of life of the users. Our goal is the development of a Kinect-based algorithm that provides a very accurate real-time monitoring of physical rehabilitation exercises and that also provides a friendly interface oriented both to users and physiotherapists. The two main constituents of our algorithm are the posture classification method and the exercises recognition method. The exercises consist of series of movements. Each movement is composed of an initial posture, a final posture and the angular trajectories of the limbs involved in the movement. The algorithm was designed and tested with datasets of real movements performed by volunteers. We also explain in the paper how we obtained the optimal values for the trade-off values for posture and trajectory recognition. Two relevant aspects of the algorithm were evaluated in our tests, classification accuracy and real-time data processing. We achieved 91.9% accuracy in posture classification and 93.75% accuracy in trajectory recognition. We also checked whether the algorithm was able to process the data in real-time. We found that our algorithm could process more than 20,000 postures per second and all the required trajectory data-series in real-time, which in practice guarantees no perceptible delays. Later on, we carried out two clinical trials with real patients that suffered shoulder disorders. We obtained an exercise monitoring accuracy of 95.16%. We present an exercise recognition algorithm that handles the data provided by Kinect efficiently. The algorithm has been validated in a real scenario where we have verified its suitability. Moreover

Children's Early Interest-Based Activities in the Home and Subsequent Information Contributions and Pursuits in Kindergarten

ERIC Educational Resources Information Center

Neitzel, Carin; Alexander, Joyce M.; Johnson, Kathy E.

2008-01-01

This study examined the early interests of 109 children and their subsequent information contributions and pursuits in kindergarten. Four groups of children with similar interests were identified on the basis of the children's profiles of activities in the home, tracked bimonthly for over a year. Activity patterns reflected conceptual, social,…

Effects of a Home-Based Family-Centred Early Habilitation Program on Neurobehavioural Outcomes of Very Preterm Born Infants: A Retrospective Cohort Study.

PubMed

Poggioli, Michela; Minichilli, Fabrizio; Bononi, Tiziana; Meghi, Pasquina; Andre, Paolo; Crecchi, Alessandra; Rossi, Bruno; Carboncini, Maria Chiara; Ottolini, Alberto; Bonfiglio, Luca

2016-01-01

Preterm children have an increased risk of neurodevelopmental impairments which include psychomotor and language retardation. The objectives of the present retrospective cohort study were to examine the effects of an individually adapted, home-based, and family-centred early developmental habilitation program on neurodevelopmental and behavioural outcomes of very preterm children compared with a standard follow-up at 2 years' corrected age. Enrolled infants were retrospectively assigned to the intervention group (61 subjects) or to the control group (62 subjects) depending on whether they had or had not carried out a home-based family-centred early developmental habilitation program focused on environmental enrichment, parent-guided environmental interaction, and infant development. Developmental outcome was assessed for both groups at 24 months' corrected age using the Bayley Scales of Infant Development 2nd Edition. Intervention significantly improved both cognitive and behavioural outcomes. In addition, males had significantly lower scores than females either before or after treatment. However, the treatment was effective in both genders to the same extent. In conclusion, a timely updated environment suitable to the infant's developmental needs could provide the best substrate where the parent-infant relationship can be practised with the ultimate goal of achieving further developmental steps.

Evidence for Early Morphological Decomposition in Visual Word Recognition

ERIC Educational Resources Information Center

Solomyak, Olla; Marantz, Alec

2010-01-01

We employ a single-trial correlational MEG analysis technique to investigate early processing in the visual recognition of morphologically complex words. Three classes of affixed words were presented in a lexical decision task: free stems (e.g., taxable), bound roots (e.g., tolerable), and unique root words (e.g., vulnerable, the root of which…

Modal-Power-Based Haptic Motion Recognition

NASA Astrophysics Data System (ADS)

Kasahara, Yusuke; Shimono, Tomoyuki; Kuwahara, Hiroaki; Sato, Masataka; Ohnishi, Kouhei

Motion recognition based on sensory information is important for providing assistance to human using robots. Several studies have been carried out on motion recognition based on image information. However, in the motion of humans contact with an object can not be evaluated precisely by image-based recognition. This is because the considering force information is very important for describing contact motion. In this paper, a modal-power-based haptic motion recognition is proposed; modal power is considered to reveal information on both position and force. Modal power is considered to be one of the defining features of human motion. A motion recognition algorithm based on linear discriminant analysis is proposed to distinguish between similar motions. Haptic information is extracted using a bilateral master-slave system. Then, the observed motion is decomposed in terms of primitive functions in a modal space. The experimental results show the effectiveness of the proposed method.

The Sweet-Home project: audio processing and decision making in smart home to improve well-being and reliance.

PubMed

Vacher, Michel; Chahuara, Pedro; Lecouteux, Benjamin; Istrate, Dan; Portet, Francois; Joubert, Thierry; Sehili, Mohamed; Meillon, Brigitte; Bonnefond, Nicolas; Fabre, Sébastien; Roux, Camille; Caffiau, Sybille

2013-01-01

The Sweet-Home project aims at providing audio-based interaction technology that lets the user have full control over their home environment, at detecting distress situations and at easing the social inclusion of the elderly and frail population. This paper presents an overview of the project focusing on the implemented techniques for speech and sound recognition as context-aware decision making with uncertainty. A user experiment in a smart home demonstrates the interest of this audio-based technology.

DISCOVERING FRUGAL INNOVATIONS THROUGH DELIVERING EARLY CHILDHOOD HOME-VISITING INTERVENTIONS IN LOW-RESOURCE TRIBAL COMMUNITIES.

PubMed

Barlow, Allison; McDaniel, Judy A; Marfani, Farha; Lowe, Anne; Keplinger, Cassie; Beltangady, Moushumi; Goklish, Novalene

2018-05-01

Early childhood home-visiting has been shown to yield the greatest impact for the lowest income, highest disparity families. Yet, poor communities generally experience fractured systems of care, a paucity of providers, and limited resources to deliver intensive home-visiting models to families who stand to benefit most. This article explores lessons emerging from the recent Tribal Maternal and Infant Early Childhood Home Visiting (MIECHV) legislation supporting delivery of home-visiting interventions in low-income, hard-to-reach American Indian and Alaska Native communities. We draw experience from four diverse tribal communities that participated in the Tribal MIECHV Program and overcame socioeconomic, geographic, and structural challenges that called for both early childhood home-visiting services and increased the difficulty of delivery. Key innovations are described, including unique community engagement, recruitment and retention strategies, expanded case management roles of home visitors to overcome fragmented care systems, contextual demands for employing paraprofessional home visitors, and practical advances toward streamlined evaluation approaches. We draw on the concept of "frugal innovation" to explain how the experience of Tribal MIECHV participation has led to more efficient, effective, and culturally informed early childhood home-visiting service delivery, with lessons for future dissemination to underserved communities in the United States and abroad. © 2018 Michigan Association for Infant Mental Health.

Early Educational Intervention, Early Cumulative Risk, and the Early Home Environment as Predictors of Young Adult Outcomes within a High-Risk Sample

ERIC Educational Resources Information Center

Pungello, Elizabeth P.; Kainz, Kirsten; Burchinal, Margaret; Wasik, Barbara H.; Sparling, Joseph J.; Ramey, Craig T.; Campbell, Frances A.

2010-01-01

The extent to which early educational intervention, early cumulative risk, and the early home environment were associated with young adult outcomes was investigated in a sample of 139 young adults (age 21) from high-risk families enrolled in randomized trials of early intervention. Positive effects of treatment were found for education attainment,…

Activity Recognition for Persons With Stroke Using Mobile Phone Technology: Toward Improved Performance in a Home Setting.

PubMed

O'Brien, Megan K; Shawen, Nicholas; Mummidisetty, Chaithanya K; Kaur, Saninder; Bo, Xiao; Poellabauer, Christian; Kording, Konrad; Jayaraman, Arun

2017-05-25

Smartphones contain sensors that measure movement-related data, making them promising tools for monitoring physical activity after a stroke. Activity recognition (AR) systems are typically trained on movement data from healthy individuals collected in a laboratory setting. However, movement patterns change after a stroke (eg, gait impairment), and activities may be performed differently at home than in a lab. Thus, it is important to validate AR for gait-impaired stroke patients in a home setting for accurate clinical predictions. In this study, we sought to evaluate AR performance in a home setting for individuals who had suffered a stroke, by using different sets of training activities. Specifically, we compared AR performance for persons with stroke while varying the origin of training data, based on either population (healthy persons or persons with stoke) or environment (laboratory or home setting). Thirty individuals with stroke and fifteen healthy subjects performed a series of mobility-related activities, either in a laboratory or at home, while wearing a smartphone. A custom-built app collected signals from the phone's accelerometer, gyroscope, and barometer sensors, and subjects self-labeled the mobility activities. We trained a random forest AR model using either healthy or stroke activity data. Primary measures of AR performance were (1) the mean recall of activities and (2) the misclassification of stationary and ambulatory activities. A classifier trained on stroke activity data performed better than one trained on healthy activity data, improving average recall from 53% to 75%. The healthy-trained classifier performance declined with gait impairment severity, more often misclassifying ambulatory activities as stationary ones. The classifier trained on in-lab activities had a lower average recall for at-home activities (56%) than for in-lab activities collected on a different day (77%). Stroke-based training data is needed for high quality AR among

SVM-based multimodal classification of activities of daily living in Health Smart Homes: sensors, algorithms, and first experimental results.

PubMed

Fleury, Anthony; Vacher, Michel; Noury, Norbert

2010-03-01

By 2050, about one third of the French population will be over 65. Our laboratory's current research focuses on the monitoring of elderly people at home, to detect a loss of autonomy as early as possible. Our aim is to quantify criteria such as the international activities of daily living (ADL) or the French Autonomie Gerontologie Groupes Iso-Ressources (AGGIR) scales, by automatically classifying the different ADL performed by the subject during the day. A Health Smart Home is used for this. Our Health Smart Home includes, in a real flat, infrared presence sensors (location), door contacts (to control the use of some facilities), temperature and hygrometry sensor in the bathroom, and microphones (sound classification and speech recognition). A wearable kinematic sensor also informs postural transitions (using pattern recognition) and walk periods (frequency analysis). This data collected from the various sensors are then used to classify each temporal frame into one of the ADL that was previously acquired (seven activities: hygiene, toilet use, eating, resting, sleeping, communication, and dressing/undressing). This is done using support vector machines. We performed a 1-h experimentation with 13 young and healthy subjects to determine the models of the different activities, and then we tested the classification algorithm (cross validation) with real data.

Fall Risk Assessment and Early-Warning for Toddler Behaviors at Home

PubMed Central

Yang, Mau-Tsuen; Chuang, Min-Wen

2013-01-01

Accidental falls are the major cause of serious injuries in toddlers, with most of these falls happening at home. Instead of providing immediate fall detection based on short-term observations, this paper proposes an early-warning childcare system to monitor fall-prone behaviors of toddlers at home. Using 3D human skeleton tracking and floor plane detection based on depth images captured by a Kinect system, eight fall-prone behavioral modules of toddlers are developed and organized according to four essential criteria: posture, motion, balance, and altitude. The final fall risk assessment is generated by a multi-modal fusion using either a weighted mean thresholding or a support vector machine (SVM) classification. Optimizations are performed to determine local parameter in each module and global parameters of the multi-modal fusion. Experimental results show that the proposed system can assess fall risks and trigger alarms with an accuracy rate of 92% at a speed of 20 frames per second. PMID:24335727

Fall risk assessment and early-warning for toddler behaviors at home.

PubMed

Yang, Mau-Tsuen; Chuang, Min-Wen

2013-12-10

Accidental falls are the major cause of serious injuries in toddlers, with most of these falls happening at home. Instead of providing immediate fall detection based on short-term observations, this paper proposes an early-warning childcare system to monitor fall-prone behaviors of toddlers at home. Using 3D human skeleton tracking and floor plane detection based on depth images captured by a Kinect system, eight fall-prone behavioral modules of toddlers are developed and organized according to four essential criteria: posture, motion, balance, and altitude. The final fall risk assessment is generated by a multi-modal fusion using either a weighted mean thresholding or a support vector machine (SVM) classification. Optimizations are performed to determine local parameter in each module and global parameters of the multi-modal fusion. Experimental results show that the proposed system can assess fall risks and trigger alarms with an accuracy rate of 92% at a speed of 20 frames per second.

Recognition and assessment of resident' deterioration in the nursing home setting: A critical ethnography.

PubMed

Laging, Bridget; Kenny, Amanda; Bauer, Michael; Nay, Rhonda

2018-04-01

To explore the recognition and assessment of resident deterioration in the nursing home setting. There is a dearth of research exploring how nurses and personal-care-assistants manage a deteriorating nursing home resident. Critical ethnography. Observation and semi-structured interviews with 66 participants (general medical practitioners, nurses, personal-care-assistants, residents and family members) in two Australian nursing homes. The study has been reported in accordance with the Consolidated Criteria for Reporting Qualitative Research guidelines. The value of nursing assessment is poorly recognised in the nursing home setting. A lack of clarity regarding the importance of nursing assessments associated with resident care has contributed to a decreasing presence of registered nurses and an increasing reliance on personal-care-assistants who had inadequate skills and knowledge to recognise signs of deterioration. Registered nurses experienced limited organisational support for autonomous decision-making and were often expected to undertake protocol-driven decisions that contributed to potentially avoidable hospital transfers. Nurses need to demonstrate the importance of assessment, in association with day-to-day resident care and demand standardised, regulated, educational preparation of an appropriate workforce who are competent in undertaking this role. Workforce structures that enhance familiarity between nursing home staff and residents could result in improved resident outcomes. The value of nursing assessment, in guiding decisions at the point of resident deterioration, warrants further consideration. © 2018 John Wiley & Sons Ltd.

Identifying Continuous Quality Improvement Priorities in Maternal, Infant, and Early Childhood Home Visiting.

PubMed

Preskitt, Julie; Fifolt, Matthew; Ginter, Peter M; Rucks, Andrew; Wingate, Martha S

2016-01-01

The purpose of this article was to describe a methodology to identify continuous quality improvement (CQI) priorities for one state's Maternal, Infant, and Early Childhood Home Visiting program from among the 40 required constructs associated with 6 program benchmarks. The authors discuss how the methodology provided consensus on system CQI quality measure priorities and describe variation among the 3 service delivery models used within the state. Q-sort methodology was used by home visiting (HV) service delivery providers (home visitors) to prioritize HV quality measures for the overall state HV system as well as their service delivery model. There was general consensus overall and among the service delivery models on CQI quality measure priorities, although some variation was observed. Measures associated with Maternal, Infant, and Early Childhood Home Visiting benchmark 1, Improved Maternal and Newborn Health, and benchmark 3, Improvement in School Readiness and Achievement, were the highest ranked. The Q-sort exercise allowed home visitors an opportunity to examine priorities within their service delivery model as well as for the overall First Teacher HV system. Participants engaged in meaningful discussions regarding how and why they selected specific quality measures and developed a greater awareness and understanding of a systems approach to HV within the state. The Q-sort methodology presented in this article can easily be replicated by other states to identify CQI priorities at the local and state levels and can be used effectively in states that use a single HV service delivery model or those that implement multiple evidence-based models for HV service delivery.

Neighborhood Socioeconomic Well-Being, Home Literacy, and Early Literacy Skills of At-Risk Preschoolers

ERIC Educational Resources Information Center

Froiland, John Mark; Powell, Douglas R.; Diamond, Karen E.; Son, Seung-Hee Claire

2013-01-01

In response to growing research and policy interest in the developmental contexts of early literacy, this study examined relations between neighborhood socioeconomic well-being, home literacy (parent-child shared reading and number of books at home), and directly assessed early literacy outcomes among 551 Head Start students in the fall of…

In-lab versus at-home activity recognition in ambulatory subjects with incomplete spinal cord injury.

PubMed

Albert, Mark V; Azeze, Yohannes; Courtois, Michael; Jayaraman, Arun

2017-02-06

Although commercially available activity trackers can aid in tracking therapy and recovery of patients, most devices perform poorly for patients with irregular movement patterns. Standard machine learning techniques can be applied on recorded accelerometer signals in order to classify the activities of ambulatory subjects with incomplete spinal cord injury in a way that is specific to this population and the location of the recording-at home or in the clinic. Subjects were instructed to perform a standardized set of movements while wearing a waist-worn accelerometer in the clinic and at-home. Activities included lying, sitting, standing, walking, wheeling, and stair climbing. Multiple classifiers and validation methods were used to quantify the ability of the machine learning techniques to distinguish the activities recorded in-lab or at-home. In the lab, classifiers trained and tested using within-subject cross-validation provided an accuracy of 91.6%. When the classifier was trained on data collected in the lab but tested on at home data, the accuracy fell to 54.6% indicating distinct movement patterns between locations. However, the accuracy of the at-home classifications, when training the classifier with at-home data, improved to 85.9%. Individuals with unique movement patterns can benefit from using tailored activity recognition algorithms easily implemented using modern machine learning methods on collected movement data.

A randomized comparison of home visits and hospital-based group follow-up visits after early postpartum discharge.

PubMed

Escobar, G J; Braveman, P A; Ackerson, L; Odouli, R; Coleman-Phox, K; Capra, A M; Wong, C; Lieu, T A

2001-09-01

Short postpartum stays are common. Current guidelines provide scant guidance on how routine follow-up of newly discharged mother-infant pairs should be performed. We aimed to compare 2 short-term (within 72 hours of discharge) follow-up strategies for low-risk mother-infant pairs with postpartum length of stay (LOS) of <48 hours: home visits by a nurse and hospital-based follow-up anchored in group visits. We used a randomized clinical trial design with intention-to-treat analysis in an integrated managed care setting that serves a largely middle class population. Mother-infant pairs that met LOS and risk criteria were randomized to the control arm (hospital-based follow-up) or to the intervention arm (home nurse visit). Clinical utilization and costs were studied using computerized databases and chart review. Breastfeeding continuation, maternal depressive symptoms, and maternal satisfaction were assessed by means of telephone interviews at 2 weeks postpartum. During a 17-month period in 1998 to 1999, we enrolled and randomized 1014 mother-infant pairs (506 to the control group and 508 to the intervention group). There were no significant differences between the study groups with respect to maternal age, race, education, household income, parity, previous breastfeeding experience, early initiation of prenatal care, or postpartum LOS. There were no differences with respect to neonatal LOS or Apgar scores. In the control group, 264 mother-infant pairs had an individual visit only, 157 had a group visit only, 64 had both a group and an individual visit, 4 had a home health and a hospital-based follow-up, 13 had no follow-up within 72 hours, and 4 were lost to follow-up. With respect to outcomes within 2 weeks after discharge, there were no significant differences in newborn or maternal hospitalizations or urgent care visits, breastfeeding discontinuation, maternal depressive symptoms, or a combined clinical outcome measure indicating whether a mother-infant pair had

Effects of a Home-Based Family-Centred Early Habilitation Program on Neurobehavioural Outcomes of Very Preterm Born Infants: A Retrospective Cohort Study

PubMed Central

Poggioli, Michela; Minichilli, Fabrizio; Bononi, Tiziana; Meghi, Pasquina; Andre, Paolo; Crecchi, Alessandra; Rossi, Bruno; Carboncini, Maria Chiara; Ottolini, Alberto

2016-01-01

Preterm children have an increased risk of neurodevelopmental impairments which include psychomotor and language retardation. The objectives of the present retrospective cohort study were to examine the effects of an individually adapted, home-based, and family-centred early developmental habilitation program on neurodevelopmental and behavioural outcomes of very preterm children compared with a standard follow-up at 2 years' corrected age. Enrolled infants were retrospectively assigned to the intervention group (61 subjects) or to the control group (62 subjects) depending on whether they had or had not carried out a home-based family-centred early developmental habilitation program focused on environmental enrichment, parent-guided environmental interaction, and infant development. Developmental outcome was assessed for both groups at 24 months' corrected age using the Bayley Scales of Infant Development 2nd Edition. Intervention significantly improved both cognitive and behavioural outcomes. In addition, males had significantly lower scores than females either before or after treatment. However, the treatment was effective in both genders to the same extent. In conclusion, a timely updated environment suitable to the infant's developmental needs could provide the best substrate where the parent-infant relationship can be practised with the ultimate goal of achieving further developmental steps. PMID:28090357

Sensor-based activity recognition using extended belief rule-based inference methodology.

PubMed

Calzada, A; Liu, J; Nugent, C D; Wang, H; Martinez, L

2014-01-01

The recently developed extended belief rule-based inference methodology (RIMER+) recognizes the need of modeling different types of information and uncertainty that usually coexist in real environments. A home setting with sensors located in different rooms and on different appliances can be considered as a particularly relevant example of such an environment, which brings a range of challenges for sensor-based activity recognition. Although RIMER+ has been designed as a generic decision model that could be applied in a wide range of situations, this paper discusses how this methodology can be adapted to recognize human activities using binary sensors within smart environments. The evaluation of RIMER+ against other state-of-the-art classifiers in terms of accuracy, efficiency and applicability was found to be significantly relevant, specially in situations of input data incompleteness, and it demonstrates the potential of this methodology and underpins the basis to develop further research on the topic.

CULTURAL ADAPTATIONS OF EVIDENCE-BASED HOME-VISITATION MODELS IN TRIBAL COMMUNITIES.

PubMed

Hiratsuka, Vanessa Y; Parker, Myra E; Sanchez, Jenae; Riley, Rebecca; Heath, Debra; Chomo, Julianna C; Beltangady, Moushumi; Sarche, Michelle

2018-05-01

The Tribal Maternal, Infant, and Early Childhood Home Visiting (Tribal MIECHV) Program provides federal grants to tribes, tribal consortia, tribal organizations, and urban Indian organizations to implement evidence-based home-visiting services for American Indian and Alaska Native (AI/AN) families. To date, only one evidence-based home-visiting program has been developed for use in AI/AN communities. The purpose of this article is to describe the steps that four Tribal MIECHV Programs took to assess community needs, select a home-visiting model, and culturally adapt the model for use in AI/AN communities. In these four unique Tribal MIECHV Program settings, each program employed a rigorous needs-assessment process and developed cultural modifications in accordance with community strengths and needs. Adaptations occurred in consultation with model developers, with consideration of the conceptual rationale for the program, while grounding new content in indigenous cultures. Research is needed to improve measurement of home-visiting outcomes in tribal and urban AI/AN settings, develop culturally grounded home-visiting interventions, and assess the effectiveness of home visiting in AI/AN communities. © 2018 Michigan Association for Infant Mental Health.

Appearance-based face recognition and light-fields.

PubMed

Gross, Ralph; Matthews, Iain; Baker, Simon

2004-04-01

Arguably the most important decision to be made when developing an object recognition algorithm is selecting the scene measurements or features on which to base the algorithm. In appearance-based object recognition, the features are chosen to be the pixel intensity values in an image of the object. These pixel intensities correspond directly to the radiance of light emitted from the object along certain rays in space. The set of all such radiance values over all possible rays is known as the plenoptic function or light-field. In this paper, we develop a theory of appearance-based object recognition from light-fields. This theory leads directly to an algorithm for face recognition across pose that uses as many images of the face as are available, from one upwards. All of the pixels, whichever image they come from, are treated equally and used to estimate the (eigen) light-field of the object. The eigen light-field is then used as the set of features on which to base recognition, analogously to how the pixel intensities are used in appearance-based face and object recognition.

Changes in Visual Object Recognition Precede the Shape Bias in Early Noun Learning

PubMed Central

Yee, Meagan; Jones, Susan S.; Smith, Linda B.

2012-01-01

Two of the most formidable skills that characterize human beings are language and our prowess in visual object recognition. They may also be developmentally intertwined. Two experiments, a large sample cross-sectional study and a smaller sample 6-month longitudinal study of 18- to 24-month-olds, tested a hypothesized developmental link between changes in visual object representation and noun learning. Previous findings in visual object recognition indicate that children’s ability to recognize common basic level categories from sparse structural shape representations of object shape emerges between the ages of 18 and 24 months, is related to noun vocabulary size, and is lacking in children with language delay. Other research shows in artificial noun learning tasks that during this same developmental period, young children systematically generalize object names by shape, that this shape bias predicts future noun learning, and is lacking in children with language delay. The two experiments examine the developmental relation between visual object recognition and the shape bias for the first time. The results show that developmental changes in visual object recognition systematically precede the emergence of the shape bias. The results suggest a developmental pathway in which early changes in visual object recognition that are themselves linked to category learning enable the discovery of higher-order regularities in category structure and thus the shape bias in novel noun learning tasks. The proposed developmental pathway has implications for understanding the role of specific experience in the development of both visual object recognition and the shape bias in early noun learning. PMID:23227015

A novel double recognition enzyme-linked immunosorbent assay based on the nucleocapsid protein for early detection of European porcine reproductive and respiratory syndrome virus infection.

PubMed

Venteo, A; Rebollo, B; Sarraseca, J; Rodriguez, M J; Sanz, A

2012-04-01

Precise and rapid detection of porcine reproductive respiratory syndrome virus (PRRSV) infection in swine farms is critical. Improvement of control procedures, such as testing incoming gilt and surveillance of seronegative herds requires more rapid and sensitive methods. However, standard serological techniques detect mainly IgG antibodies. A double recognition enzyme-linked immunosorbent assay (DR-ELISA) was developed for detection of antibodies specific to European PRRSV. This new assay can recognize both IgM and IgG antibodies to PRSSV which might be useful for detecting in routine surveillance assays pigs that are in the very early stages of infection and missed by conventional assays detecting only IgG antibodies. DR-ELISA is based on the double recognition of antigen by antibody. In this study, the recombinant nucleocapsid protein (N) of PRRSV was used both as the coating and the enzyme-conjugated antigen. To evaluate the sensitivity of the assay at early stages of the infection, sera from 69 pigs infected with PRRSV were collected during successive days post infection (pi) and tested. While standard methods showed low sensitivity rates before day 14 pi, DR-ELISA detected 88.4% seropositive samples at day 7 showing greater sensitivity at early stages of the infection. Further studies were carried out to assess the efficiency of the new assay, and the results showed DR-ELISA to be a sensitive and accurate method for early diagnosis of EU-PRRSV infection. Copyright © 2012 Elsevier B.V. All rights reserved.

Early Home Language Use and Later Vocabulary Development

ERIC Educational Resources Information Center

Mancilla-Martinez, Jeannette; Lesaux, Nonie K.

2011-01-01

This longitudinal study examined the association between early patterns of home language use (age 4.5 years) and vocabulary growth (ages 4.5 to 12 years) in English and Spanish for 180 Spanish-speaking language minority learners followed from ages 4.5 to 12 years. Standardized measures of vocabulary were administered to children from ages 4.5 to…

Facial affect recognition in early and late-stage schizophrenia patients.

PubMed

Romero-Ferreiro, María Verónica; Aguado, Luis; Rodriguez-Torresano, Javier; Palomo, Tomás; Rodriguez-Jimenez, Roberto; Pedreira-Massa, José Luis

2016-04-01

Prior studies have shown deficits in social cognition and emotion perception in first-episode psychosis (FEP) and multi-episode schizophrenia (MES) patients. These studies compared patients at different stages of the illness with only a single control group which differed in age from at least one clinical group. The present study provides new evidence of a differential pattern of deficit in facial affect recognition in FEP and MES patients using a double age-matched control design. Compared to their controls, FEP patients only showed impaired recognition of fearful faces (p=.007). In contrast to this, the MES patients showed a more generalized deficit compared to their age-matched controls, with impaired recognition of angry, sad and fearful faces (ps<.01) and an increased misattribution of emotional meaning to neutral faces. PANSS scores of FEP patients on Depressed factor correlated positively with the accuracy to recognize fearful expressions (r=.473). For the MES group fear recognition correlated positively with negative PANSS factor (r=.498) and recognition of sad and neutral expressions was inversely correlated with disorganized PANSS factor (r=-.461 and r=-.541, respectively). These results provide evidence that a generalized impairment of affect recognition is observed in advanced-stage patients and is not characteristic of the early stages of schizophrenia. Moreover, the finding that anomalous attribution of emotional meaning to neutral faces is observed only in MES patients suggests that an increased attribution of salience to social stimuli is a characteristic of social cognition in advanced stages of the disorder. Copyright © 2016 Elsevier B.V. All rights reserved.

Quantifying parental preferences for interventions designed to improve home food preparation and home food environments during early childhood.

PubMed

Virudachalam, Senbagam; Chung, Paul J; Faerber, Jennifer A; Pian, Timothy M; Thomas, Karen; Feudtner, Chris

2016-03-01

Though preparing healthy food at home is a critical health promotion habit, few interventions have aimed to improve parental cooking skills and behaviors. We sought to understand parents' preferences and priorities regarding interventions to improve home food preparation practices and home food environments during early childhood. We administered a discrete choice experiment using maximum difference scaling. Eighty English-speaking parents of healthy 1-4 year-old children rated the relative importance of potential attributes of interventions to improve home food preparation practices and home food environments. We performed latent class analysis to identify subgroups of parents with similar preferences and tested for differences between the subgroups. Participants were mostly white or black 21-45 year-old women whose prevalence of overweight/obesity mirrored the general population. Latent class analysis revealed three distinct groups of parental preferences for intervention content: a healthy cooking group, focused on nutrition and cooking healthier food; a child persuasion group, focused on convincing toddlers to eat home-cooked food; and a creative cooking group, focused on cooking without recipes, meal planning, and time-saving strategies. Younger, lower income, 1-parent households comprised the healthy cooking group, while older, higher income, 2-parent households comprised the creative cooking group (p < 0.05). The child persuasion group was more varied with regard to age, income, and household structure but cooked dinner regularly, unlike the other two groups (p < 0.05). Discrete choice experiments using maximum difference scaling can be employed to design and tailor interventions to change health behaviors. Segmenting a diverse target population by needs and preferences enables the tailoring and optimization of future interventions to improve parental home food preparation practices. Such interventions are important for creating healthier home food

Development of robust behaviour recognition for an at-home biomonitoring robot with assistance of subject localization and enhanced visual tracking.

PubMed

Imamoglu, Nevrez; Dorronzoro, Enrique; Wei, Zhixuan; Shi, Huangjun; Sekine, Masashi; González, José; Gu, Dongyun; Chen, Weidong; Yu, Wenwei

2014-01-01

Our research is focused on the development of an at-home health care biomonitoring mobile robot for the people in demand. Main task of the robot is to detect and track a designated subject while recognizing his/her activity for analysis and to provide warning in an emergency. In order to push forward the system towards its real application, in this study, we tested the robustness of the robot system with several major environment changes, control parameter changes, and subject variation. First, an improved color tracker was analyzed to find out the limitations and constraints of the robot visual tracking considering the suitable illumination values and tracking distance intervals. Then, regarding subject safety and continuous robot based subject tracking, various control parameters were tested on different layouts in a room. Finally, the main objective of the system is to find out walking activities for different patterns for further analysis. Therefore, we proposed a fast, simple, and person specific new activity recognition model by making full use of localization information, which is robust to partial occlusion. The proposed activity recognition algorithm was tested on different walking patterns with different subjects, and the results showed high recognition accuracy.

Development of Robust Behaviour Recognition for an at-Home Biomonitoring Robot with Assistance of Subject Localization and Enhanced Visual Tracking

PubMed Central

Imamoglu, Nevrez; Dorronzoro, Enrique; Wei, Zhixuan; Shi, Huangjun; González, José; Gu, Dongyun; Yu, Wenwei

2014-01-01

Our research is focused on the development of an at-home health care biomonitoring mobile robot for the people in demand. Main task of the robot is to detect and track a designated subject while recognizing his/her activity for analysis and to provide warning in an emergency. In order to push forward the system towards its real application, in this study, we tested the robustness of the robot system with several major environment changes, control parameter changes, and subject variation. First, an improved color tracker was analyzed to find out the limitations and constraints of the robot visual tracking considering the suitable illumination values and tracking distance intervals. Then, regarding subject safety and continuous robot based subject tracking, various control parameters were tested on different layouts in a room. Finally, the main objective of the system is to find out walking activities for different patterns for further analysis. Therefore, we proposed a fast, simple, and person specific new activity recognition model by making full use of localization information, which is robust to partial occlusion. The proposed activity recognition algorithm was tested on different walking patterns with different subjects, and the results showed high recognition accuracy. PMID:25587560

Emotion recognition in early Parkinson's disease patients undergoing deep brain stimulation or dopaminergic therapy: a comparison to healthy participants.

PubMed

McIntosh, Lindsey G; Mannava, Sishir; Camalier, Corrie R; Folley, Bradley S; Albritton, Aaron; Konrad, Peter E; Charles, David; Park, Sohee; Neimat, Joseph S

2014-01-01

Parkinson's disease (PD) is traditionally regarded as a neurodegenerative movement disorder, however, nigrostriatal dopaminergic degeneration is also thought to disrupt non-motor loops connecting basal ganglia to areas in frontal cortex involved in cognition and emotion processing. PD patients are impaired on tests of emotion recognition, but it is difficult to disentangle this deficit from the more general cognitive dysfunction that frequently accompanies disease progression. Testing for emotion recognition deficits early in the disease course, prior to cognitive decline, better assesses the sensitivity of these non-motor corticobasal ganglia-thalamocortical loops involved in emotion processing to early degenerative change in basal ganglia circuits. In addition, contrasting this with a group of healthy aging individuals demonstrates changes in emotion processing specific to the degeneration of basal ganglia circuitry in PD. Early PD patients (EPD) were recruited from a randomized clinical trial testing the safety and tolerability of deep brain stimulation (DBS) of the subthalamic nucleus (STN-DBS) in early-staged PD. EPD patients were previously randomized to receive optimal drug therapy only (ODT), or drug therapy plus STN-DBS (ODT + DBS). Matched healthy elderly controls (HEC) and young controls (HYC) also participated in this study. Participants completed two control tasks and three emotion recognition tests that varied in stimulus domain. EPD patients were impaired on all emotion recognition tasks compared to HEC. Neither therapy type (ODT or ODT + DBS) nor therapy state (ON/OFF) altered emotion recognition performance in this study. Finally, HEC were impaired on vocal emotion recognition relative to HYC, suggesting a decline related to healthy aging. This study supports the existence of impaired emotion recognition early in the PD course, implicating an early disruption of fronto-striatal loops mediating emotional function.

Jump-Starting Early Childhood Education at Home: Early Learning, Parent Motivation, and Public Policy.

PubMed

Maloney, Erin A; Converse, Benjamin A; Gibbs, Chloe R; Levine, Susan C; Beilock, Sian L

2015-11-01

By the time children begin formal schooling, their experiences at home have already contributed to large variations in their math and language development, and once school begins, academic achievement continues to depend strongly on influences outside of school. It is thus essential that educational reform strategies involve primary caregivers. Specifically, programs and policies should promote and support aspects of caregiver-child interaction that have been empirically demonstrated to boost early learning and should seek to impede "motivational sinkholes" that threaten to undermine caregivers' desires to engage their children effectively. This article draws on cognitive and behavioral science to detail simple, low-cost, and effective tools caregivers can employ to prepare their children for educational success and then describes conditions that can protect and facilitate caregivers' motivation to use those tools. Policy recommendations throughout focus on using existing infrastructure to more deeply engage caregivers in effective early childhood education at home. © The Author(s) 2015.

Population Health and Tailored Medical Care in the Home: the Roles of Home-Based Primary Care and Home-Based Palliative Care.

PubMed

Ritchie, Christine S; Leff, Bruce

2018-03-01

With the growth of value-based care, payers and health systems have begun to appreciate the need to provide enhanced services to homebound adults. Recent studies have shown that home-based medical services for this high-cost, high-need population reduce costs and improve outcomes. Home-based medical care services have two flavors that are related to historical context and specialty background-home-based primary care (HBPC) and home-based palliative care (HBPalC). Although the type of services provided by HBPC and HBPalC (together termed "home-based medical care") overlap, HBPC tends to encompass longitudinal and preventive care, while HBPalC often provides services for shorter durations focused more on distress management and goals of care clarification. Given workforce constraints and growing demand, both HBPC and HBPalC will benefit from working together within a population health framework-where HBPC provides care to all patients who have trouble accessing traditional office practices and where HBPalC offers adjunctive care to patients with high symptom burden and those who need assistance with goals clarification. Policy changes that support provision of medical care in the home, population health strategies that tailor home-based medical care to the specific needs of the patients and their caregivers, and educational initiatives to assure basic palliative care competence for all home-based medical providers will improve access and reduce illness burden to this important and underrecognized population. Copyright © 2017 American Academy of Hospice and Palliative Medicine. Published by Elsevier Inc. All rights reserved.

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.

Influences of early child nutritional status and home learning environment on child development in Vietnam.

PubMed

Nguyen, Phuong H; DiGirolamo, Ann M; Gonzalez-Casanova, Ines; Young, Melissa; Kim, Nicole; Nguyen, Son; Martorell, Reynaldo; Ramakrishnan, Usha

2018-01-01

Early childhood development plays a key role in a child's future health, educational success, and economic status. However, suboptimal early development remains a global challenge. This study examines the influences of quality of the home learning environment (HOME) and child stunting in the first year of life on child development. We used data collected from a randomized controlled trial of preconceptional micronutrient supplementation in Vietnam (n = 1,458). The Bayley Scales of Infant Development-III were used to assess cognition, language, and motor development domains at 2 years. At 1 year, 14% of children were stunted, and 15%, 58%, and 28% of children lived in poor, medium, and high HOME environments, respectively. In multivariate generalized linear regression models, living in a high HOME environment was significantly associated with higher scores (0.10 to 0.13 SD) in each of the developmental domains. Stunted children scored significantly lower for cognitive, language, and motor development (-0.11 to -0.18), compared to nonstunted children. The negative associations between stunting on development were modified by HOME; the associations were strong among children living in homes with a poor learning environment whereas they were nonsignificant for those living in high-quality learning environments. In conclusion, child stunting the first year of life was negatively associated with child development at 2 years among children in Vietnam, but a high-quality HOME appeared to attenuate these associations. Early interventions aimed at improving early child growth as well as providing a stimulating home environment are critical to ensure optimal child development. © 2017 John Wiley & Sons Ltd.

Early Steps to School Success (ESSS): Examining Pathways Linking Home Visiting and Language Outcomes

ERIC Educational Resources Information Center

Iruka, Iheoma U.; Brown, Deborah; Jerald, Judith; Blitch, Kimberly

2018-01-01

Background: Improving the home environment and parenting practices to support children's early development and learning is a key focus of many. Home visiting is one potential strategy to improve the home environment and parenting; however, more data about current programmatic efforts is needed, especially for children with multiple risks living in…

Early effects of duloxetine on emotion recognition in healthy volunteers

PubMed Central

Bamford, Susan; Penton-Voak, Ian; Pinkney, Verity; Baldwin, David S; Munafò, Marcus R; Garner, Matthew

2015-01-01

The serotonin-noradrenaline reuptake inhibitor (SNRI) duloxetine is an effective treatment for major depression and generalised anxiety disorder. Neuropsychological models of antidepressant drug action suggest therapeutic effects might be mediated by the early correction of maladaptive biases in emotion processing, including the recognition of emotional expressions. Sub-chronic administration of duloxetine (for two weeks) produces adaptive changes in neural circuitry implicated in emotion processing; however, its effects on emotional expression recognition are unknown. Forty healthy participants were randomised to receive either 14 days of duloxetine (60 mg/day, titrated from 30 mg after three days) or matched placebo (with sham titration) in a double-blind, between-groups, repeated-measures design. On day 0 and day 14 participants completed a computerised emotional expression recognition task that measured sensitivity to the six primary emotions. Thirty-eight participants (19 per group) completed their course of tablets and were included in the analysis. Results provide evidence that duloxetine, compared to placebo, may reduce the accurate recognition of sadness. Drug effects were driven by changes in participants’ ability to correctly detect subtle expressions of sadness, with greater change observed in the placebo relative to the duloxetine group. These effects occurred in the absence of changes in mood. Our preliminary findings require replication, but complement recent evidence that sadness recognition is a therapeutic target in major depression, and a mechanism through which SNRIs could resolve negative biases in emotion processing to achieve therapeutic effects. PMID:25759400

76 FR 12977 - Advisory Committee on the Maternal, Infant and Early Childhood Home Visiting Program Evaluation

Federal Register 2010, 2011, 2012, 2013, 2014

2011-03-09

... Administration for Children and Families Advisory Committee on the Maternal, Infant and Early Childhood Home... for Children and Families (ACF), Department of Health and Human Services (HHS). ACTION: Notice to announce the establishment of the Advisory Committee on the Maternal, Infant and Early Childhood Home...

Experimental study on GMM-based speaker recognition

NASA Astrophysics Data System (ADS)

Ye, Wenxing; Wu, Dapeng; Nucci, Antonio

2010-04-01

Speaker recognition plays a very important role in the field of biometric security. In order to improve the recognition performance, many pattern recognition techniques have be explored in the literature. Among these techniques, the Gaussian Mixture Model (GMM) is proved to be an effective statistic model for speaker recognition and is used in most state-of-the-art speaker recognition systems. The GMM is used to represent the 'voice print' of a speaker through modeling the spectral characteristic of speech signals of the speaker. In this paper, we implement a speaker recognition system, which consists of preprocessing, Mel-Frequency Cepstrum Coefficients (MFCCs) based feature extraction, and GMM based classification. We test our system with TIDIGITS data set (325 speakers) and our own recordings of more than 200 speakers; our system achieves 100% correct recognition rate. Moreover, we also test our system under the scenario that training samples are from one language but test samples are from a different language; our system also achieves 100% correct recognition rate, which indicates that our system is language independent.

Hospital at home: home-based end of life care

PubMed Central

Shepperd, Sasha; Wee, Bee; Straus, Sharon E

2014-01-01

Background The policy in a number of countries is to provide people with a terminal illness the choice of dying at home. This policy is supported by surveys indicating that the general public and patients with a terminal illness would prefer to receive end of life care at home. Objectives To determine if providing home-based end of life care reduces the likelihood of dying in hospital and what effect this has on patients’ symptoms, quality of life, health service costs and care givers compared with inpatient hospital or hospice care. Search methods We searched the Cochrane Central Register of Controlled Trials (CENTRAL) (The Cochrane Library) to October 2009, Ovid MED-LINE(R) 1950 to March 2011, EMBASE 1980 to October 2009, CINAHL 1982 to October 2009 and EconLit to October 2009. We checked the reference lists of articles identified for potentially relevant articles. Selection criteria Randomised controlled trials, interrupted time series or controlled before and after studies evaluating the effectiveness of home-based end of life care with inpatient hospital or hospice care for people aged 18 years and older. Data collection and analysis Two authors independently extracted data and assessed study quality. We combined the published data for dichotomous outcomes using fixed-effect Mantel-Haenszel meta-analysis. When combining outcome data was not possible we presented the data in narrative summary tables. Main results We included four trials in this review. Those receiving home-based end of life care were statistically significantly more likely to die at home compared with those receiving usual care (RR 1.33, 95% CI 1.14 to 1.55, P = 0.0002; Chi 2 = 1.72, df = 2, P = 0.42, I2 = 0% (three trials; N=652)). We detected no statistically significant differences for functional status (measured by the Barthel Index), psychological well-being or cognitive status, between patients receiving home-based end of life care compared with those receiving standard care (which

Home Literacy Environments of Young Children with Down Syndrome: Findings from a Web-Based Survey

ERIC Educational Resources Information Center

Al Otaiba, Stephanie; Lewis, Sandra; Whalon, Kelly; Dyrlund, Allison; McKenzie, Amy R.

2009-01-01

Early home literacy experiences, including parent--child book reading, account for a significant amount of children's later reading achievement. Yet there is a very limited research base about the home literacy environments and experiences of children with cognitive disabilities. The purpose of this study is to describe findings from a Web-based…

Identifying early dehydration risk with home-based sensors during radiation treatment: a feasibility study on patients with head and neck cancer.

PubMed

Peterson, Susan K; Shinn, Eileen H; Basen-Engquist, Karen; Demark-Wahnefried, Wendy; Prokhorov, Alexander V; Baru, Chaitanya; Krueger, Ingolf H; Farcas, Emilia; Rios, Philip; Garden, Adam S; Beadle, Beth M; Lin, Kai; Yan, Yan; Martch, Stephanie L; Patrick, Kevin

2013-12-01

Systems that enable remote monitoring of patients' symptoms and other health-related outcomes may optimize cancer care outside of the clinic setting. CYCORE (CYberinfrastructure for COmparative effectiveness REsearch) is a software-based prototype for a user-friendly cyberinfrastructure supporting the comprehensive collection and analyses of data from multiple domains using a suite of home-based and mobile sensors. This study evaluated the feasibility of using CYCORE to address early at-home identification of dehydration risk in head and neck cancer patients undergoing radiation therapy. Head and neck cancer patients used home-based sensors to capture weight, blood pressure, pulse, and patient-reported outcomes for two 5-day periods during radiation therapy. Data were sent to the radiation oncologist of each head and neck cancer patient, who viewed them online via a Web-based interface. Feasibility outcomes included study completion rate, acceptability and perceived usefulness of the intervention, and adherence to the monitoring protocol. We also evaluated whether sensor data could identify dehydration-related events. Fifty patients consented to participate, and 48 (96%) completed the study. More than 90% of patients rated their ease, self-efficacy, and satisfaction regarding use of the sensor suite as extremely favorable, with minimal concerns expressed regarding data privacy issues. Patients highly valued the ability to have immediate access to objective, self-monitoring data related to personal risk for dehydration. Clinician assessments indicated a high degree of satisfaction with the ease of using the CYCORE system and the resulting ability to monitor their patients remotely. Implementing CYCORE in a clinical oncology care setting is feasible and highly acceptable to both patients and providers.

Identifying Early Dehydration Risk With Home-Based Sensors During Radiation Treatment: A Feasibility Study on Patients With Head and Neck Cancer

PubMed Central

2013-01-01

Background Systems that enable remote monitoring of patients’ symptoms and other health-related outcomes may optimize cancer care outside of the clinic setting. CYCORE (CYberinfrastructure for COmparative effectiveness REsearch) is a software-based prototype for a user-friendly cyberinfrastructure supporting the comprehensive collection and analyses of data from multiple domains using a suite of home-based and mobile sensors. This study evaluated the feasibility of using CYCORE to address early at-home identification of dehydration risk in head and neck cancer patients undergoing radiation therapy. Methods Head and neck cancer patients used home-based sensors to capture weight, blood pressure, pulse, and patient-reported outcomes for two 5-day periods during radiation therapy. Data were sent to the radiation oncologist of each head and neck cancer patient, who viewed them online via a Web-based interface. Feasibility outcomes included study completion rate, acceptability and perceived usefulness of the intervention, and adherence to the monitoring protocol. We also evaluated whether sensor data could identify dehydration-related events. Results Fifty patients consented to participate, and 48 (96%) completed the study. More than 90% of patients rated their ease, self-efficacy, and satisfaction regarding use of the sensor suite as extremely favorable, with minimal concerns expressed regarding data privacy issues. Patients highly valued the ability to have immediate access to objective, self-monitoring data related to personal risk for dehydration. Clinician assessments indicated a high degree of satisfaction with the ease of using the CYCORE system and the resulting ability to monitor their patients remotely. Conclusion Implementing CYCORE in a clinical oncology care setting is feasible and highly acceptable to both patients and providers. PMID:24395986

The NIE Home-Based Early Education Program.

ERIC Educational Resources Information Center

Gruskin, Susan

The initial plans for the National Institute of Education (NIE) program in early childhood education are described. The first part of the document contains a discussion of the relationship between planned NIE programs and existing early childhood federal programs. In both planned and existing programs, disadvantaged children are the primary…

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

Handwritten digits recognition based on immune network

NASA Astrophysics Data System (ADS)

Li, Yangyang; Wu, Yunhui; Jiao, Lc; Wu, Jianshe

2011-11-01

With the development of society, handwritten digits recognition technique has been widely applied to production and daily life. It is a very difficult task to solve these problems in the field of pattern recognition. In this paper, a new method is presented for handwritten digit recognition. The digit samples firstly are processed and features extraction. Based on these features, a novel immune network classification algorithm is designed and implemented to the handwritten digits recognition. The proposed algorithm is developed by Jerne's immune network model for feature selection and KNN method for classification. Its characteristic is the novel network with parallel commutating and learning. The performance of the proposed method is experimented to the handwritten number datasets MNIST and compared with some other recognition algorithms-KNN, ANN and SVM algorithm. The result shows that the novel classification algorithm based on immune network gives promising performance and stable behavior for handwritten digits recognition.

Tree Alignment Based on Needleman-Wunsch Algorithm for Sensor Selection in Smart Homes.

PubMed

Chua, Sook-Ling; Foo, Lee Kien

2017-08-18

Activity recognition in smart homes aims to infer the particular activities of the inhabitant, the aim being to monitor their activities and identify any abnormalities, especially for those living alone. In order for a smart home to support its inhabitant, the recognition system needs to learn from observations acquired through sensors. One question that often arises is which sensors are useful and how many sensors are required to accurately recognise the inhabitant's activities? Many wrapper methods have been proposed and remain one of the popular evaluators for sensor selection due to its superior accuracy performance. However, they are prohibitively slow during the evaluation process and may run into the risk of overfitting due to the extent of the search. Motivated by this characteristic, this paper attempts to reduce the cost of the evaluation process and overfitting through tree alignment. The performance of our method is evaluated on two public datasets obtained in two distinct smart home environments.

Cultural differences in self-recognition: the early development of autonomous and related selves?

PubMed

Ross, Josephine; Yilmaz, Mandy; Dale, Rachel; Cassidy, Rose; Yildirim, Iraz; Suzanne Zeedyk, M

2017-05-01

Fifteen- to 18-month-old infants from three nationalities were observed interacting with their mothers and during two self-recognition tasks. Scottish interactions were characterized by distal contact, Zambian interactions by proximal contact, and Turkish interactions by a mixture of contact strategies. These culturally distinct experiences may scaffold different perspectives on self. In support, Scottish infants performed best in a task requiring recognition of the self in an individualistic context (mirror self-recognition), whereas Zambian infants performed best in a task requiring recognition of the self in a less individualistic context (body-as-obstacle task). Turkish infants performed similarly to Zambian infants on the body-as-obstacle task, but outperformed Zambians on the mirror self-recognition task. Verbal contact (a distal strategy) was positively related to mirror self-recognition and negatively related to passing the body-as-obstacle task. Directive action and speech (proximal strategies) were negatively related to mirror self-recognition. Self-awareness performance was best predicted by cultural context; autonomous settings predicted success in mirror self-recognition, and related settings predicted success in the body-as-obstacle task. These novel data substantiate the idea that cultural factors may play a role in the early expression of self-awareness. More broadly, the results highlight the importance of moving beyond the mark test, and designing culturally sensitive tests of self-awareness. © 2016 John Wiley & Sons Ltd.

Home care after early discharge: impact on healthy mothers and newborns.

PubMed

Askelsdottir, Björk; Lam-de Jonge, Willemien; Edman, Gunnar; Wiklund, Ingela

2013-08-01

to compare early discharge with home care versus standard postpartum care in terms of mothers' sense of security; contact between mother, newborn and partner; emotions towards breast feeding; and breast-feeding duration at one and three months after birth. retrospective case-control study. a labour ward unit in Stockholm, Sweden handling both normal and complicated births. 96 women with single, uncomplicated pregnancies and births, and their healthy newborns. early discharge at 12-24 hours post partum with 2-3 home visits during the first week after birth. The intervention group consisted of women who had a normal vaginal birth (n=45). This group was compared with healthy controls who received standard postnatal care at the hospital (n=51). mothers' sense of security was measured using the Parents' Postnatal Sense of Security Scale. Contact between mother, child and father, and emotions towards breast feeding were measured using the Alliance Scale, and breast-feeding rates at one and three months post partum were recorded. women in the intervention group reported a greater sense of security in the first postnatal week but had more negative emotions towards breast feeding compared with the control group. At three months post partum, 74% of the newborns in the intervention group were fully breast fed versus 93% in the control group (p=0.021). Contact between the mother, newborn and partner did not differ between the groups. early discharge with home care is a feasible option for healthy women and newborns, but randomised controlled studies are needed to investigate the effects of home care on breast-feeding rates. Copyright © 2012 Elsevier Ltd. All rights reserved.

The home-based maternal record: a tool for family involvement in health care.

PubMed

Shah, P M; Shah, K P; Belsey, M A

1988-04-01

The home-based maternal record offers an opportunity for family involvement in health care. Home-based records of maternal health have been used in several developing countries, and have led to increased detection and monitoring of women at high risk for complications during pregnancy. Home-based cards that include menstrual information remind health workers to educate and motivate women for family planning, and serve as a source of health statistics. Records that use pictures and symbols have been used by illiterate traditional birth attendants, and had an accurate completion rate of over 90%. The WHO has prepared a prototype record and guidelines for local adaptation. The objectives were to provide continuity of care throughout pregnancy, ensure recognition of at-risk women, encourage family participation in health care, an provide data on maternal health, breastfeeding, and family planning. The guidelines have been evaluated and results show that the records have improved the coverage, acceptability, and quality of MCH/FP care. The records have also led to an increase in diagnosis and referral of at-risk women and newborns, and the use of family planning and tetanus toxoid immunization has increased in the 13 centers where the reports are being used. Focus group discussions have shown that mothers, community members, primary health workers, and doctors and nurses liked the records. It is important to adapt criteria for high-risk conditions to the local areas where the records will be used to ensure the relevance of risk diagnosis. The evidence shows that home-based maternal and child records can be an important tool in the promotion of self-reliance and family participation in health care. In addition, home-based records can be used for the implementation of primary health care at the local level, and serve as a resource for data collection.

Cross-border marriage and disparities in early childhood development in a population-based birth cohort study: the mediation of the home environment.

PubMed

Wu, J C-L; Bradley, R H; Chiang, T-L

2012-07-01

Taiwan has experienced a large influx of cross-border marriage migrants in recent years. The majority have been women in their childbearing ages and have come from countries with lower average standards of living than Taiwan. This trend has changed the ethnic composition of children who live in Taiwan, and it has generated considerable social concern over the future health status of Taiwan's citizens. This study aimed to examine: (1) whether there are disparities in development between children reared in families characterized by cross-border marriages and children reared in families with two Taiwanese-born parents; and (2) whether the quality of home environment explains the group differences in early childhood development. Data came from the Taiwan Birth Cohort Study. A total of 19,499 participants who completed 6-month, 18-month and 3-year surveys were included for analysis. Cross-border marriage status was defined by mother's original nationality and categorized into three broad groups: Taiwanese-born, Chinese cross-border and South-East Asian (SEA) cross-border. Early childhood development was measured at age 3 years, and covered the domains of gross motor, fine motor, language and socio-emotional competence. Hierarchical linear regressions were used to examine the mediation effects of the home environment. Children of Chinese and SEA cross-border groups scored lower in fine motor, language and socio-emotional competence than those of their Taiwanese-born counterpart at age 3 years. Chinese-Taiwanese group differences in all three developmental domains became insignificant after the addition of home environment, while SEA-Taiwanese group differences in fine motor and language development remained, yet were noticeably reduced. The mediation of home environment was further confirmed using the Sobel test. Home environment plays a central role in reducing the disparities in developmental outcomes among children of different marriage groups. Interventions should be

Early home-based group education to support informed decision-making among patients with end-stage renal disease: a multi-centre randomized controlled trial.

PubMed

Massey, Emma K; Gregoor, Peter J H Smak; Nette, Robert W; van den Dorpel, Marinus A; van Kooij, Anthony; Zietse, Robert; Zuidema, Willij C; Timman, Reinier; Busschbach, Jan J; Weimar, Willem

2016-05-01

The aim was to test the effectiveness of early home-based group education on knowledge and communication about renal replacement therapy (RRT). We conducted a randomized controlled trial using a cross-over design among 80 end-stage renal disease (ESRD) patients. Between T0 and T1 (weeks 1-4) Group 1 received the intervention and Group 2 received standard care. Between T1 and T2 (weeks 5-8) Group 1 received standard care and Group 2 received the intervention. The intervention was a group education session on RRT options held in the patient's home given by social workers. Patients invited members from their social network to attend. Self-report questionnaires were used at T0, T1 and T2 to measure patients' knowledge and communication, and concepts from the Theory of Planned Behaviour such as attitude. Comparable questionnaires were completed pre-post intervention by 229 attendees. Primary RRT was registered up to 2 years post-intervention. Multilevel linear modelling was used to analyse patient data and paired t-tests for attendee data. Statistically significant increases in the primary targets knowledge and communication were found among patients and attendees after receiving the intervention. The intervention also had a significant effect in increasing positive attitude toward living donation and haemodialysis. Of the 80 participants, 49 underwent RRT during follow-up. Of these, 34 underwent a living donor kidney transplant, of which 22 were pre-emptive. Early home-based group education supports informed decision-making regarding primary RRT for ESRD patients and their social networks and may remove barriers to pre-emptive transplantation. © The Author 2015. Published by Oxford University Press on behalf of ERA-EDTA. All rights reserved.

Environmental impact on young children's participation in home-based activities.

PubMed

Albrecht, Erin C; Khetani, Mary A

2017-04-01

To test the effect of child, family, and environmental factors on young children's participation in home-based activities. Caregivers of young children were recruited using convenience and snowball sampling. Participants were 395 caregivers of children (222 males, 173 females) aged from 1 month to 5 years and 11 months. Demographic items and the home section of the Young Children's Participation and Environment Measure were administered online, followed by completion of the daily activities, mobility, and social/cognitive domains of the Pediatric Evaluation of Disability Inventory Computer Adaptive Test by telephone interview. A structural equation model fitted the data well (comparative fit index=0.91) and explained 31.2% of the variance in perceived environmental support and 42.5% of the variance in home involvement. Functional limitations and performance had an indirect effect on young children's participation through their effect on perceived environmental support. Specifically, fewer functional limitations and higher task performance were associated with greater environmental support, which in turn predicted higher levels of home involvement. Results suggest the importance of a young child's functional abilities and task performance on caregiver perceptions of environmental support at home, and the impact of environmental support on a child's participation in home-based activities during the early childhood period. Results warrant replication with more diverse samples to evaluate model generalizability. © 2016 The Authors. Developmental Medicine & Child Neurology published by John Wiley & Sons Ltd on behalf of Mac Keith Press.

Maximizing the Impact of State Early Childhood Home Visitation Programs. Issue Brief

ERIC Educational Resources Information Center

NGA Center for Best Practices, 2011

2011-01-01

Early childhood is a critical time for cognitive, social, and behavioral development. Many states have invested in comprehensive early childhood care and education systems that offer a wide range of supports and services to families from the prenatal period through school entry. Home visiting programs are an important component of state early…

Differences between early and late involvement of palliative home care in oncology care: A focus group study with palliative home care teams.

PubMed

Dhollander, Naomi; Deliens, Luc; Van Belle, Simon; De Vleminck, Aline; Pardon, Koen

2018-05-01

To date, no randomised controlled trials on the integration of specialised palliative home care into oncology care have been identified. Information on whether existing models of integrated care are applicable to the home care system and how working procedures and skills of the palliative care teams might require adaptation is missing. To gain insight into differences between early and late involvement and the effect on existing working procedures and skills as perceived by palliative home care teams. Qualitative study - focus group interviews. Six palliative home care teams in Flanders, Belgium. Participants included physicians, nurses and psychologists. Differences were found concerning (1) reasons for initiation, (2) planning of care process, (3) focus on future goals versus problems, (4) opportunity to provide holistic care, (5) empowerment of patients and (6) empowerment of professional caregivers. A shift from a medical approach to a more holistic approach is the most noticeable. Being involved earlier also results in a more structured follow-up and in empowering the patient to be part of the decision-making process. Early involvement creates the need for transmural collaboration, which leads to the teams taking on more supporting and coordinating tasks. Being involved earlier leads to different tasks and working procedures and to the need for transmural collaboration. Future research might focus on the development of an intervention model for the early integration of palliative home care into oncology care. To develop this model, components of existing models might need to be adapted or extended.

Home Literacy Environments of Young Children with Down Syndrome: Findings from a Web-based Survey.

PubMed

Al Otaiba, Stephanie; Lewis, Sandra; Whalon, Kelly; Dyrlund, Alison; McKenzie, Amy

2009-03-01

Early home literacy experiences, including parent-child book reading, account for a significant amount of childrens' later reading achievement. Yet, there is a very limited research base about the home literacy environments and experiences of children with cognitive disabilities. The purpose of this study is to describe findings from a web-based survey of home literacy environments of young children with Down syndrome. Respondents ( n = 107) were mostly mothers; a majority were well-educated. Findings suggest that respondents gave literacy a higher priority than reported in prior research on children with disabilities. Over 70% of respondents had 50 or more childrens' books and also had literacy materials including flashcards, magnetic letters, and educational videos or computer games. Most parents read to their children and used these literacy materials 10-30 minutes per day. Respondents reported that their children had reached many important early literacy milestones and they also described having relatively ambitious life-long literacy goals for their children. Important implications for research and practice are discussed.

Implementation and assessment of an early home-based intervention on infant attachment organisation: the CAPEDP attachment study in France.

PubMed

Tereno, Susana; Guedeney, Nicole; Dugravier, Romain; Greacen, Tim; Saïas, Thomas; Tubach, Florence; Guédeney, Antoine

2013-06-01

Attachment is a long-term emotional link between infants and their mothers. Attachment quality influences subsequent psychosocial relationships, the ability to manage stress and, consequently, later mental health. Home intervention programmes targeting infant attachment have been implemented in several contexts with varying degrees of efficacy. Within the CAPEDP study (Parental Skills and Attachment in Early Childhood: reduction of risks linked to mental health problems and promotion of resilience), a subsample of 120 families were recruited with the objective of assessing the impact of this home-visiting programme on infant attachment organisation using the Strange Situation Procedure. The present paper describes the methodology used in this ancillary study.

Individual recognition based on communication behaviour of male fowl.

PubMed

Smith, Carolynn L; Taubert, Jessica; Weldon, Kimberly; Evans, Christopher S

2016-04-01

Correctly directing social behaviour towards a specific individual requires an ability to discriminate between conspecifics. The mechanisms of individual recognition include phenotype matching and familiarity-based recognition. Communication-based recognition is a subset of familiarity-based recognition wherein the classification is based on behavioural or distinctive signalling properties. Male fowl (Gallus gallus) produce a visual display (tidbitting) upon finding food in the presence of a female. Females typically approach displaying males. However, males may tidbit without food. We used the distinctiveness of the visual display and the unreliability of some males to test for communication-based recognition in female fowl. We manipulated the prior experience of the hens with the males to create two classes of males: S(+) wherein the tidbitting signal was paired with a food reward to the female, and S (-) wherein the tidbitting signal occurred without food reward. We then conducted a sequential discrimination test with hens using a live video feed of a familiar male. The results of the discrimination tests revealed that hens discriminated between categories of males based on their signalling behaviour. These results suggest that fowl possess a communication-based recognition system. This is the first demonstration of live-to-video transfer of recognition in any species of bird. Copyright © 2016 Elsevier B.V. All rights reserved.

IL-2 Enhances Gut Homing Potential of Human Naive Regulatory T Cells Early in Life.

PubMed

Hsu, Peter S; Lai, Catherine L; Hu, Mingjing; Santner-Nanan, Brigitte; Dahlstrom, Jane E; Lee, Cheng Hiang; Ajmal, Ayesha; Bullman, Amanda; Arbuckle, Susan; Al Saedi, Ahmed; Gacis, Lou; Nambiar, Reta; Williams, Andrew; Wong, Melanie; Campbell, Dianne E; Nanan, Ralph

2018-06-15

Recent evidence suggests early environmental factors are important for gut immune tolerance. Although the role of regulatory T (Treg) cells for gut immune homeostasis is well established, the development and tissue homing characteristics of Treg cells in children have not been studied in detail. In this article, we studied the development and homing characteristics of human peripheral blood Treg cell subsets and potential mechanisms inducing homing molecule expression in healthy children. We found contrasting patterns of circulating Treg cell gut and skin tropism, with abundant β7 integrin + Treg cells at birth and increasing cutaneous lymphocyte Ag (CLA + ) Treg cells later in life. β7 integrin + Treg cells were predominantly naive, suggesting acquisition of Treg cell gut tropism early in development. In vitro, IL-7 enhanced gut homing but reduced skin homing molecule expression in conventional T cells, whereas IL-2 induced a similar effect only in Treg cells. This effect was more pronounced in cord compared with adult blood. Our results suggest that early in life, naive Treg cells may be driven for gut tropism by their increased sensitivity to IL-2-induced β7 integrin upregulation, implicating a potential role of IL-2 in gut immune tolerance during this critical period of development. Copyright © 2018 by The American Association of Immunologists, Inc.

Continuity in Early Childhood: A Framework for Home, School, and Community Linkages. Revised Edition.

ERIC Educational Resources Information Center

Regional Educational Laboratories Early Childhood Collaboration Network.

This guide details a framework for supporting the efforts of home, school, and community partners to improve continuity and transition in early childhood. Following an introduction describing continuity in early childhood, the importance of a smooth transition, and the eight elements of early childhood continuity, the guide is presented in eight…

Home Literacy Environments and Foundational Literacy Skills for Struggling and Nonstruggling Readers in Rural Early Elementary Schools

ERIC Educational Resources Information Center

Tichnor-Wagner, Ariel; Garwood, Justin D.; Bratsch-Hines, Mary; Vernon-Feagans, Lynne

2016-01-01

Factors such as weak early literacy skills and living in poverty may put young students at risk for reading disabilities. While home literacy activities and access to literacy materials have been associated with positive reading outcomes for urban and suburban students, little is known about home literacy environments of rural early elementary…

REFLECTION IN HOME VISITING: THE WHAT, WHY, AND A BEGINNING STEP TOWARD HOW.

PubMed

Tomlin, Angela M; Hines, Elesia; Sturm, Lynne

2016-11-01

The work of home visitors in early childhood fields may include addressing many challenges to achieving curricular outcomes, including issues such as maintaining boundaries and managing one's own reactions to children, parents, and overall family situations. Increasingly, reflective supervision and consultation are recognized as a way for workers in home-visiting early intervention and early care fields to address these personal and professional challenges and build competence (Watson, Gatti, Cox, Harrison, & Hennes, ). The features of home visiting that make reflective supervision/consultation essential are discussed. Next, results of a pilot project in which a sample of Part C early intervention providers respond to a vignette portraying a challenging parent-child interaction are briefly presented and discussed. Despite often stating the importance of relationships, participants did not identify concrete methods of supporting relationship or demonstrate recognition of parallel process. In addition, providers seldom endorsed the use of reflective skills such as observing, listening, wondering, or reflecting (Weatherston, ), and no providers discussed a need for reflective supervision/consultation. We suggest that these findings illustrate some of the areas in which early intervention home visitors could benefit from participation in reflective supervision/consultation to move from identifying reflective skills as important to actually being able to use such skills in their work with families. © 2016 Michigan Association for Infant Mental Health.

An SEM Assessment of the Internal Structure and Predictive Validity of the Abbreviated Early Adolescent HOME Inventory.

PubMed

Green, Samuel B; Pennar, Amy L; Bradley, Robert H

2018-05-01

The Home Observation for Measurement of the Environment (HOME) Inventory is designed to assess the quality and quantity of support, stimulation, and structure provided to children in the home environment. HOME has been widely used for research and applied purposes. We focused on an abbreviated version of the Early Adolescent HOME (EA-HOME-A) that was administered to 15-year-old adolescents and their parents ( N = 958) as part of the NICHD (National Institute of Child Health and Human Development) Study of Early Child Care and Youth Development. Our study had two objectives. First, we hypothesized and tested a bifactor model that specified a general factor in support of the use of the HOME total score and group factors for subsets of items in support of the content domain scores. Second, we applied structural equation modeling to relate the EA-HOME-A factors to outcome factors assessing maladaptive behaviors, autonomy, self-control, and cognitive-academic performance. The results supported the construct validity of the EA-HOME-A with respect to its internal structure as well as its correlates.

Differences in Word Recognition between Early Bilinguals and Monolinguals: Behavioral and ERP Evidence

ERIC Educational Resources Information Center

Lehtonen, Minna; Hulten, Annika; Rodriguez-Fornells, Antoni; Cunillera, Toni; Tuomainen, Jyrki; Laine, Matti

2012-01-01

We investigated the behavioral and brain responses (ERPs) of bilingual word recognition to three fundamental psycholinguistic factors, frequency, morphology, and lexicality, in early bilinguals vs. monolinguals. Earlier behavioral studies have reported larger frequency effects in bilinguals' nondominant vs. dominant language and in some studies…

Emotion recognition in preschool children: associations with maternal depression and early parenting.

PubMed

Kujawa, Autumn; Dougherty, Lea; Durbin, C Emily; Laptook, Rebecca; Torpey, Dana; Klein, Daniel N

2014-02-01

Emotion knowledge in childhood has been shown to predict social functioning and psychological well-being, but relatively little is known about parental factors that influence its development in early childhood. There is some evidence that both parenting behavior and maternal depression are associated with emotion recognition, but previous research has only examined these factors independently. The current study assessed auditory and visual emotion recognition ability among a large sample of preschool children to examine typical emotion recognition skills in children of this age, as well as the independent and interactive effects of maternal and paternal depression and negative parenting (i.e., hostility and intrusiveness). Results indicated that children were most accurate at identifying happy emotional expressions. The lowest accuracy was observed for neutral expressions. A significant interaction was found between maternal depression and negative parenting behavior: children with a maternal history of depression were particularly sensitive to the negative effects of maladaptive parenting behavior on emotion recognition ability. No significant effects were found for paternal depression. These results highlight the importance of examining the effects of multiple interacting factors on children's emotional development and provide suggestions for identifying children for targeted preventive interventions.

Depression in Home-Based Care: The Role of the Home Health Nurse.

PubMed

Groh, Carla J; Dumlao, Manuel S

2016-01-01

Depression is a major health issue among older adults receiving home-based services yet is underdiagnosed and undertreated, which can result in negative health outcomes. Despite the recognized need for improved mental health services, significant gaps and barriers exist that contribute to less than optimal home-based depression management interventions. Home healthcare clinicians are well positioned to drive this effort for improving depression care with enhanced learning. Thus, the purpose of this article is to provide guidelines on improving depression care in homebound older adults based on four clinical functions central to home healthcare: screening, assessment, medication management, and patient/family education.

Recognition-Based Pedagogy: Teacher Candidates' Experience of Deficit

ERIC Educational Resources Information Center

Parkison, Paul T.; DaoJensen, Thuy

2014-01-01

This study seeks to introduce what we call "recognition-based pedagogy" as a conceptual frame through which teachers and instructors can collaboratively develop educative experiences with students. Recognition-based pedagogy connects the theories of critical pedagogy, identity politics, and the politics of recognition with the educative…

Enhancing the early home learning environment through a brief group parenting intervention: study protocol for a cluster randomised controlled trial.

PubMed

Nicholson, Jan M; Cann, Warren; Matthews, Jan; Berthelsen, Donna; Ukoumunne, Obioha C; Trajanovska, Misel; Bennetts, Shannon K; Hillgrove, Tessa; Hamilton, Victoria; Westrupp, Elizabeth; Hackworth, Naomi J

2016-06-02

The quality of the home learning environment has a significant influence on children's language and communication skills during the early years with children from disadvantaged families disproportionately affected. This paper describes the protocol and participant baseline characteristics of a community-based effectiveness study. It evaluates the effects of 'smalltalk', a brief group parenting intervention (with or without home coaching) on the quality of the early childhood home learning environment. The study comprises two cluster randomised controlled superiority trials (one for infants and one for toddlers) designed and conducted in parallel. In 20 local government areas (LGAs) in Victoria, Australia, six locations (clusters) were randomised to one of three conditions: standard care (control); smalltalk group-only program; or smalltalk plus (group program plus home coaching). Programs were delivered to parents experiencing socioeconomic disadvantage through two existing age-based services, the maternal and child health service (infant program, ages 6-12 months), and facilitated playgroups (toddler program, ages 12-36 months). Outcomes were assessed by parent report and direct observation at baseline (0 weeks), post-intervention (12 weeks) and follow-up (32 weeks). Primary outcomes were parent verbal responsivity and home activities with child at 32 weeks. Secondary outcomes included parenting confidence, parent wellbeing and children's communication, socio-emotional and general development skills. Analyses will use intention-to-treat random effects ("multilevel") models to account for clustering. Across the 20 LGAs, 986 parents of infants and 1200 parents of toddlers enrolled and completed baseline measures. Eighty four percent of families demonstrated one or more of the targeted risk factors for poor child development (low income; receives government benefits; single, socially isolated or young parent; culturally or linguistically diverse background). This

Early Recognition of High Risk of Bipolar Disorder and Psychosis: An Overview of the ZInEP "Early Recognition" Study.

PubMed

Theodoridou, Anastasia; Heekeren, Karsten; Dvorsky, Diane; Metzler, Sibylle; Franscini, Maurizia; Haker, Helene; Kawohl, Wolfram; Rüsch, Nicolas; Walitza, Susanne; Rössler, Wulf

2014-01-01

Early detection of persons with first signs of emerging psychosis is regarded as a promising strategy to reduce the burden of the disease. In recent years, there has been increasing interest in early detection of psychosis and bipolar disorders, with a clear need for sufficient sample sizes in prospective research. The underlying brain network disturbances in individuals at risk or with a prodrome are complex and yet not well known. This paper provides the rationale and design of a prospective longitudinal study focused on at-risk states of psychosis and bipolar disorder. The study is carried out within the context of the Zurich Program for Sustainable Development of Mental Health services (Zürcher Impulsprogramm zur Nachhaltigen Entwicklung der Psychiatrie). Persons at risk for psychosis or bipolar disorder between 13 and 35 years of age are examined by using a multi-level-approach (psychopathology, neuropsychology, genetics, electrophysiology, sociophysiology, magnetic resonance imaging, near-infrared spectroscopy). The included adolescents and young adults have four follow-ups at 6, 12, 24, and 36 months. This approach provides data for a better understanding of the relevant mechanisms involved in the onset of psychosis and bipolar disorder, which can serve as targets for future interventions. But for daily clinical practice a practicable "early recognition" approach is required. The results of this study will be useful to identify the strongest predictors and to delineate a prediction model.

Finger vein recognition based on personalized weight maps.

PubMed

Yang, Gongping; Xiao, Rongyang; Yin, Yilong; Yang, Lu

2013-09-10

Finger vein recognition is a promising biometric recognition technology, which verifies identities via the vein patterns in the fingers. Binary pattern based methods were thoroughly studied in order to cope with the difficulties of extracting the blood vessel network. However, current binary pattern based finger vein matching methods treat every bit of feature codes derived from different image of various individuals as equally important and assign the same weight value to them. In this paper, we propose a finger vein recognition method based on personalized weight maps (PWMs). The different bits have different weight values according to their stabilities in a certain number of training samples from an individual. Firstly we present the concept of PWM, and then propose the finger vein recognition framework, which mainly consists of preprocessing, feature extraction, and matching. Finally, we design extensive experiments to evaluate the effectiveness of our proposal. Experimental results show that PWM achieves not only better performance, but also high robustness and reliability. In addition, PWM can be used as a general framework for binary pattern based recognition.

Finger Vein Recognition Based on Personalized Weight Maps

PubMed Central

Yang, Gongping; Xiao, Rongyang; Yin, Yilong; Yang, Lu

2013-01-01

Finger vein recognition is a promising biometric recognition technology, which verifies identities via the vein patterns in the fingers. Binary pattern based methods were thoroughly studied in order to cope with the difficulties of extracting the blood vessel network. However, current binary pattern based finger vein matching methods treat every bit of feature codes derived from different image of various individuals as equally important and assign the same weight value to them. In this paper, we propose a finger vein recognition method based on personalized weight maps (PWMs). The different bits have different weight values according to their stabilities in a certain number of training samples from an individual. Firstly we present the concept of PWM, and then propose the finger vein recognition framework, which mainly consists of preprocessing, feature extraction, and matching. Finally, we design extensive experiments to evaluate the effectiveness of our proposal. Experimental results show that PWM achieves not only better performance, but also high robustness and reliability. In addition, PWM can be used as a general framework for binary pattern based recognition. PMID:24025556

Gait recognition based on integral outline

NASA Astrophysics Data System (ADS)

Ming, Guan; Fang, Lv

2017-02-01

Biometric identification technology replaces traditional security technology, which has become a trend, and gait recognition also has become a hot spot of research because its feature is difficult to imitate and theft. This paper presents a gait recognition system based on integral outline of human body. The system has three important aspects: the preprocessing of gait image, feature extraction and classification. Finally, using a method of polling to evaluate the performance of the system, and summarizing the problems existing in the gait recognition and the direction of development in the future.

Family Support for Early Literacy and Numeracy: Examining Events in the Home and Community

ERIC Educational Resources Information Center

Kennedy, Anne

2010-01-01

Early childhood educators often make assumptions about the nature of families' understandings and what they do at home to support their young children's literacy and numeracy development and learning. Sometimes educator's have a limited understanding of children's every day experiences at home or in their community and the potential for these to…

Multimodal Wireless Sensor Network-Based Ambient Assisted Living in Real Homes with Multiple Residents

PubMed Central

Tunca, Can; Alemdar, Hande; Ertan, Halil; Incel, Ozlem Durmaz; Ersoy, Cem

2014-01-01

Human activity recognition and behavior monitoring in a home setting using wireless sensor networks (WSNs) provide a great potential for ambient assisted living (AAL) applications, ranging from health and wellbeing monitoring to resource consumption monitoring. However, due to the limitations of the sensor devices, challenges in wireless communication and the challenges in processing large amounts of sensor data in order to recognize complex human activities, WSN-based AAL systems are not effectively integrated in the home environment. Additionally, given the variety of sensor types and activities, selecting the most suitable set of sensors in the deployment is an important task. In order to investigate and propose solutions to such challenges, we introduce a WSN-based multimodal AAL system compatible for homes with multiple residents. Particularly, we focus on the details of the system architecture, including the challenges of sensor selection, deployment, networking and data collection and provide guidelines for the design and deployment of an effective AAL system. We also present the details of the field study we conducted, using the systems deployed in two different real home environments with multiple residents. With these systems, we are able to collect ambient sensor data from multiple homes. This data can be used to assess the wellbeing of the residents and identify deviations from everyday routines, which may be indicators of health problems. Finally, in order to elaborate on the possible applications of the proposed AAL system and to exemplify directions for processing the collected data, we provide the results of several human activity inference experiments, along with examples on how such results could be interpreted. We believe that the experiences shared in this work will contribute towards accelerating the acceptance of WSN-based AAL systems in the home setting. PMID:24887044

Multimodal wireless sensor network-based ambient assisted living in real homes with multiple residents.

PubMed

Tunca, Can; Alemdar, Hande; Ertan, Halil; Incel, Ozlem Durmaz; Ersoy, Cem

2014-05-30

Human activity recognition and behavior monitoring in a home setting using wireless sensor networks (WSNs) provide a great potential for ambient assisted living (AAL) applications, ranging from health and wellbeing monitoring to resource consumption monitoring. However, due to the limitations of the sensor devices, challenges in wireless communication and the challenges in processing large amounts of sensor data in order to recognize complex human activities, WSN-based AAL systems are not effectively integrated in the home environment. Additionally, given the variety of sensor types and activities, selecting the most suitable set of sensors in the deployment is an important task. In order to investigate and propose solutions to such challenges, we introduce a WSN-based multimodal AAL system compatible for homes with multiple residents. Particularly, we focus on the details of the system architecture, including the challenges of sensor selection, deployment, networking and data collection and provide guidelines for the design and deployment of an effective AAL system. We also present the details of the field study we conducted, using the systems deployed in two different real home environments with multiple residents. With these systems, we are able to collect ambient sensor data from multiple homes. This data can be used to assess the wellbeing of the residents and identify deviations from everyday routines, which may be indicators of health problems. Finally, in order to elaborate on the possible applications of the proposed AAL system and to exemplify directions for processing the collected data, we provide the results of several human activity inference experiments, along with examples on how such results could be interpreted. We believe that the experiences shared in this work will contribute towards accelerating the acceptance of WSN-based AAL systems in the home setting.

Developing dementia prevention trials: baseline report of the Home-Based Assessment study.

PubMed

Sano, Mary; Egelko, Susan; Donohue, Michael; Ferris, Steven; Kaye, Jeffrey; Hayes, Tamara L; Mundt, James C; Sun, Chung-Kai; Paparello, Silvia; Aisen, Paul S

2013-01-01

This report describes the baseline experience of the multicenter, Home-Based Assessment study, designed to develop methods for dementia prevention trials using novel technologies for test administration and data collection. Nondemented individuals of 75 years of age or more were recruited and evaluated in-person using established clinical trial outcomes of cognition and function, and randomized to one of 3 assessment methodologies: (1) mail-in questionnaire/live telephone interviews [mail-in/phone (MIP)]; (2) automated telephone with interactive voice recognition; and (3) internet-based computer Kiosk. Brief versions of cognitive and noncognitive outcomes were adapted to each methodology and administered at baseline and repeatedly over a 4-year period. "Efficiency" measures assessed the time from screening to baseline, and staff time required for each methodology. A total of 713 individuals signed consent and were screened; 640 met eligibility and were randomized to one of 3 assessment arms; and 581 completed baseline. Dropout, time from screening to baseline, and total staff time were highest among those assigned to internet-based computer Kiosk. However, efficiency measures were driven by nonrecurring start-up activities suggesting that differences may be mitigated over a long trial. Performance among Home-Based Assessment instruments collected through different technologies will be compared with established outcomes over this 4-year study.

Pupil dilation during recognition memory: Isolating unexpected recognition from judgment uncertainty.

PubMed

Mill, Ravi D; O'Connor, Akira R; Dobbins, Ian G

2016-09-01

Optimally discriminating familiar from novel stimuli demands a decision-making process informed by prior expectations. Here we demonstrate that pupillary dilation (PD) responses during recognition memory decisions are modulated by expectations, and more specifically, that pupil dilation increases for unexpected compared to expected recognition. Furthermore, multi-level modeling demonstrated that the time course of the dilation during each individual trial contains separable early and late dilation components, with the early amplitude capturing unexpected recognition, and the later trailing slope reflecting general judgment uncertainty or effort. This is the first demonstration that the early dilation response during recognition is dependent upon observer expectations and that separate recognition expectation and judgment uncertainty components are present in the dilation time course of every trial. The findings provide novel insights into adaptive memory-linked orienting mechanisms as well as the general cognitive underpinnings of the pupillary index of autonomic nervous system activity. Copyright © 2016 Elsevier B.V. All rights reserved.

Success Begins at Home.

ERIC Educational Resources Information Center

Lombard, Avima D.

Israel's Home Instruction Program for Preschool Youngsters, a nationally administered home-based program of early childhood education, is discussed in this book. In addition to presenting information regarding the social conditions that necessitated development of the program, this book describes the theory and planning behind the program, its…

Ambient and smartphone sensor assisted ADL recognition in multi-inhabitant smart environments.

PubMed

Roy, Nirmalya; Misra, Archan; Cook, Diane

2016-02-01

Activity recognition in smart environments is an evolving research problem due to the advancement and proliferation of sensing, monitoring and actuation technologies to make it possible for large scale and real deployment. While activities in smart home are interleaved, complex and volatile; the number of inhabitants in the environment is also dynamic. A key challenge in designing robust smart home activity recognition approaches is to exploit the users' spatiotemporal behavior and location, focus on the availability of multitude of devices capable of providing different dimensions of information and fulfill the underpinning needs for scaling the system beyond a single user or a home environment. In this paper, we propose a hybrid approach for recognizing complex activities of daily living (ADL), that lie in between the two extremes of intensive use of body-worn sensors and the use of ambient sensors. Our approach harnesses the power of simple ambient sensors (e.g., motion sensors) to provide additional 'hidden' context (e.g., room-level location) of an individual, and then combines this context with smartphone-based sensing of micro-level postural/locomotive states. The major novelty is our focus on multi-inhabitant environments, where we show how the use of spatiotemporal constraints along with multitude of data sources can be used to significantly improve the accuracy and computational overhead of traditional activity recognition based approaches such as coupled-hidden Markov models. Experimental results on two separate smart home datasets demonstrate that this approach improves the accuracy of complex ADL classification by over 30 %, compared to pure smartphone-based solutions.

Ambient and smartphone sensor assisted ADL recognition in multi-inhabitant smart environments

PubMed Central

Misra, Archan; Cook, Diane

2016-01-01

Activity recognition in smart environments is an evolving research problem due to the advancement and proliferation of sensing, monitoring and actuation technologies to make it possible for large scale and real deployment. While activities in smart home are interleaved, complex and volatile; the number of inhabitants in the environment is also dynamic. A key challenge in designing robust smart home activity recognition approaches is to exploit the users' spatiotemporal behavior and location, focus on the availability of multitude of devices capable of providing different dimensions of information and fulfill the underpinning needs for scaling the system beyond a single user or a home environment. In this paper, we propose a hybrid approach for recognizing complex activities of daily living (ADL), that lie in between the two extremes of intensive use of body-worn sensors and the use of ambient sensors. Our approach harnesses the power of simple ambient sensors (e.g., motion sensors) to provide additional ‘hidden’ context (e.g., room-level location) of an individual, and then combines this context with smartphone-based sensing of micro-level postural/locomotive states. The major novelty is our focus on multi-inhabitant environments, where we show how the use of spatiotemporal constraints along with multitude of data sources can be used to significantly improve the accuracy and computational overhead of traditional activity recognition based approaches such as coupled-hidden Markov models. Experimental results on two separate smart home datasets demonstrate that this approach improves the accuracy of complex ADL classification by over 30 %, compared to pure smartphone-based solutions. PMID:27042240

A randomized clinical trial in preterm infants on the effects of a home-based early intervention with the 'CareToy System'

PubMed Central

Sgandurra, Giuseppina; Lorentzen, Jakob; Inguaggiato, Emanuela; Bartalena, Laura; Beani, Elena; Cecchi, Francesca; Dario, Paolo; Giampietri, Matteo; Greisen, Gorm; Herskind, Anna; Nielsen, Jens Bo; Rossi, Giuseppe; Cioni, Giovanni

2017-01-01

CareToy system is an innovative tele-rehabilitative tool, useful in providing intensive, individualized, home-based, family-centred Early Intervention (EI) in infants. Our aim was to evaluate, through a Randomized Clinical Trial (RCT) study, the effects of CareToy intervention on early motor and visual development in preterm infants. 41 preterm infants (range age: 3.0–5.9 months of corrected age) were enrolled and randomized into two groups, CareToy and Standard Care. 19 infants randomized in CareToy group performed a 4-week CareToy program, while 22 allocated to control group completed 4 weeks of Standard Care. Infant Motor Profile (IMP) was primary outcome measure, Alberta Infant Motor Scale (AIMS) and Teller Acuity Cards were secondary ones. Assessments were carried out at baseline (T0) and at the end of CareToy training or Standard Care period (T1). T1 was the primary endpoint. After RCT phase, 17 infants from control group carried out a 4-week CareToy program, while 18 infants from the CareToy group continued with Standard Care. At the end of this phase, infants were re-assessed at T2. In RCT phase, delta IMP total score and variation and performance sub-domains were significantly higher (P<0.050) in CareToy group if compared to Standard Care group. Similar results were found for Teller Acuity Cards, while no differences between groups were found for AIMS. No differences were found in any outcome measure results (T2-T0), between infants who started CareToy training before or after one month of standard care. This RCT study confirms the results of a previous pilot study, indicating that CareToy system can provide effective home-based EI. Trial Registration: This trial has been registered at www.clinicaltrials.gov (Identifier NCT01990183). PMID:28328946

Home Literacy Environments of Young Children with Down Syndrome: Findings from a Web-based Survey

PubMed Central

Al Otaiba, Stephanie; Lewis, Sandra; Whalon, Kelly; Dyrlund, Alison; McKenzie, Amy

2014-01-01

Early home literacy experiences, including parent-child book reading, account for a significant amount of childrens' later reading achievement. Yet, there is a very limited research base about the home literacy environments and experiences of children with cognitive disabilities. The purpose of this study is to describe findings from a web-based survey of home literacy environments of young children with Down syndrome. Respondents (n = 107) were mostly mothers; a majority were well-educated. Findings suggest that respondents gave literacy a higher priority than reported in prior research on children with disabilities. Over 70% of respondents had 50 or more childrens' books and also had literacy materials including flashcards, magnetic letters, and educational videos or computer games. Most parents read to their children and used these literacy materials 10–30 minutes per day. Respondents reported that their children had reached many important early literacy milestones and they also described having relatively ambitious life-long literacy goals for their children. Important implications for research and practice are discussed. PMID:25249712

Fuzzy Logic-Based Audio Pattern Recognition

NASA Astrophysics Data System (ADS)

Malcangi, M.

2008-11-01

Audio and audio-pattern recognition is becoming one of the most important technologies to automatically control embedded systems. Fuzzy logic may be the most important enabling methodology due to its ability to rapidly and economically model such application. An audio and audio-pattern recognition engine based on fuzzy logic has been developed for use in very low-cost and deeply embedded systems to automate human-to-machine and machine-to-machine interaction. This engine consists of simple digital signal-processing algorithms for feature extraction and normalization, and a set of pattern-recognition rules manually tuned or automatically tuned by a self-learning process.

45 CFR 1306.33 - Home-based program option.

Code of Federal Regulations, 2013 CFR

2013-10-01

... 45 Public Welfare 4 2013-10-01 2013-10-01 false Home-based program option. 1306.33 Section 1306.33... PROGRAM HEAD START STAFFING REQUIREMENTS AND PROGRAM OPTIONS Head Start Program Options § 1306.33 Home-based program option. (a) Grantees implementing a home-based program option must: (1) Provide one home...

45 CFR 1306.33 - Home-based program option.

Code of Federal Regulations, 2014 CFR

2014-10-01

... 45 Public Welfare 4 2014-10-01 2014-10-01 false Home-based program option. 1306.33 Section 1306.33... PROGRAM HEAD START STAFFING REQUIREMENTS AND PROGRAM OPTIONS Head Start Program Options § 1306.33 Home-based program option. (a) Grantees implementing a home-based program option must: (1) Provide one home...

45 CFR 1306.33 - Home-based program option.

Code of Federal Regulations, 2012 CFR

2012-10-01

... 45 Public Welfare 4 2012-10-01 2012-10-01 false Home-based program option. 1306.33 Section 1306.33... PROGRAM HEAD START STAFFING REQUIREMENTS AND PROGRAM OPTIONS Head Start Program Options § 1306.33 Home-based program option. (a) Grantees implementing a home-based program option must: (1) Provide one home...

Degraded character recognition based on gradient pattern

NASA Astrophysics Data System (ADS)

Babu, D. R. Ramesh; Ravishankar, M.; Kumar, Manish; Wadera, Kevin; Raj, Aakash

2010-02-01

Degraded character recognition is a challenging problem in the field of Optical Character Recognition (OCR). The performance of an optical character recognition depends upon printed quality of the input documents. Many OCRs have been designed which correctly identifies the fine printed documents. But, very few reported work has been found on the recognition of the degraded documents. The efficiency of the OCRs system decreases if the input image is degraded. In this paper, a novel approach based on gradient pattern for recognizing degraded printed character is proposed. The approach makes use of gradient pattern of an individual character for recognition. Experiments were conducted on character image that is either digitally written or a degraded character extracted from historical documents and the results are found to be satisfactory.

They're Not All at Home: Residential Placements of Early Adolescents in Special Education

ERIC Educational Resources Information Center

Chen, Chin-Chih; Culhane, Dennis P.; Metraux, Stephen; Park, Jung Min; Venable, Jessica C.; Burnett, T. C.

2016-01-01

Using an integrated administrative data set, out-of-home residential placements (i.e., child welfare, juvenile justice, mental health) were examined in a sample of early adolescents in a large urban school district. Out-of-home placements were tracked across Grades 7 to 9 in a population of 58,000 youth. This included 10,911 students identified…

Impact of specialist home-based palliative care services in a tertiary oncology set up: a prospective non-randomized observational study.

PubMed

Dhiliwal, Sunil R; Muckaden, Maryann

2015-01-01

Home-based specialist palliative care services are developed to meet the needs of the patients in advanced stage of cancer at home with physical symptoms and distress. Specialist home care services are intended to improve symptom control and quality of life, enable patients to stay at home, and avoid unnecessary hospital admission. Total 690 new cases registered under home-based palliative care service in the year 2012 were prospectively studied to assess the impact of specialist home-based services using Edmonton symptom assessment scale (ESAS) and other parameters. Out of the 690 registered cases, 506 patients received home-based palliative care. 50.98% patients were cared for at home, 28.85% patients needed hospice referral and 20.15% patients needed brief period of hospitalization. All patients receiving specialist home care had good relief of physical symptoms (P < 0.005). 83.2% patients received out of hours care (OOH) through liaising with local general practitioners; 42.68% received home based bereavement care and 91.66% had good bereavement outcomes. Specialist home-based palliative care improved symptom control, health-related communication and psychosocial support. It promoted increased number of home-based death, appropriate and early hospice referral, and averted needless hospitalization. It improved bereavement outcomes, and caregiver satisfaction.

Material recognition based on thermal cues: Mechanisms and applications

PubMed Central

Ho, Hsin-Ni

2018-01-01

ABSTRACT Some materials feel colder to the touch than others, and we can use this difference in perceived coldness for material recognition. This review focuses on the mechanisms underlying material recognition based on thermal cues. It provides an overview of the physical, perceptual, and cognitive processes involved in material recognition. It also describes engineering domains in which material recognition based on thermal cues have been applied. This includes haptic interfaces that seek to reproduce the sensations associated with contact in virtual environments and tactile sensors aim for automatic material recognition. The review concludes by considering the contributions of this line of research in both science and engineering. PMID:29687043

Material recognition based on thermal cues: Mechanisms and applications.

PubMed

Ho, Hsin-Ni

2018-01-01

Some materials feel colder to the touch than others, and we can use this difference in perceived coldness for material recognition. This review focuses on the mechanisms underlying material recognition based on thermal cues. It provides an overview of the physical, perceptual, and cognitive processes involved in material recognition. It also describes engineering domains in which material recognition based on thermal cues have been applied. This includes haptic interfaces that seek to reproduce the sensations associated with contact in virtual environments and tactile sensors aim for automatic material recognition. The review concludes by considering the contributions of this line of research in both science and engineering.

Towards automated assistance for operating home medical devices.

PubMed

Gao, Zan; Detyniecki, Marcin; Chen, Ming-Yu; Wu, Wen; Hauptmann, Alexander G; Wactlar, Howard D

2010-01-01

To detect errors when subjects operate a home medical device, we observe them with multiple cameras. We then perform action recognition with a robust approach to recognize action information based on explicitly encoding motion information. This algorithm detects interest points and encodes not only their local appearance but also explicitly models local motion. Our goal is to recognize individual human actions in the operations of a home medical device to see if the patient has correctly performed the required actions in the prescribed sequence. Using a specific infusion pump as a test case, requiring 22 operation steps from 6 action classes, our best classifier selects high likelihood action estimates from 4 available cameras, to obtain an average class recognition rate of 69%.

Emotion Recognition in Preschool Children: Associations with Maternal Depression and Early Parenting

PubMed Central

Kujawa, Autumn; Dougherty, Lea; Durbin, C. Emily; Laptook, Rebecca; Torpey, Dana; Klein, Daniel N.

2013-01-01

Emotion knowledge in childhood has been shown to predict social functioning and psychological well-being, but relatively little is known about parental factors that influence its development in early childhood. There is some evidence that both parenting behavior and maternal depression are associated with emotion recognition, but previous research has only examined these factors independently. The current study assessed auditory and visual emotion recognition ability among a large sample of preschool children to examine typical emotion recognition skills in children of this age, as well as the independent and interactive effects of maternal and paternal depression and negative parenting (i.e., hostility and intrusiveness). Results indicated that children were most accurate at identifying happy emotional expressions, followed by other basic emotions. The lowest accuracy was observed for neutral expressions. A significant interaction was found between maternal depression and negative parenting behavior, such that children with a maternal history of depression were particularly sensitive to the negative effects of maladaptive parenting behavior on emotion recognition ability. No significant effects were found for paternal depression. These results highlight the importance of examining the effects of multiple interacting factors on children’s emotional development, and provide suggestions for identifying children for targeted preventive interventions. PMID:24444174

Enriching preschool classrooms and home visits with evidence-based programming: sustained benefits for low-income children.

PubMed

Bierman, Karen L; Heinrichs, Brenda S; Welsh, Janet A; Nix, Robert L; Gest, Scott D

2017-02-01

Growing up in poverty undermines healthy development, producing disparities in the cognitive and social-emotional skills that support early learning and mental health. Preschool and home-visiting interventions for low-income children have the potential to build early cognitive and social-emotional skills, reducing the disparities in school readiness that perpetuate the cycle of poverty. However, longitudinal research suggests that the gains low-income children make during preschool interventions often fade at school entry and disappear by early elementary school. In an effort to improve the benefits for low-income children, the REDI program enriched Head Start preschool classrooms (study one) and home visits (study two) with evidence-based programming, documenting positive intervention effects in two randomized trials. In this study, REDI participants were followed longitudinally, to evaluate the sustained impact of the classroom and home-visiting enrichments 3 years later, when children were in second grade. The combined sample included 556 children (55% European American, 25% African American, 19% Latino; 49% male): 288 children received the classroom intervention, 105 children received the classroom intervention plus the home-visiting intervention, and 173 children received usual practice Head Start. The classroom intervention led to sustained benefits in social-emotional skills, improving second grade classroom participation, student-teacher relationships, social competence, and peer relations. The coordinated home-visiting intervention produced additional benefits in child mental health (perceived social competence and peer relations) and cognitive skills (reading skills, academic performance). Significant effects ranged from 25% to 48% of a standard deviation, representing important effects of small to moderate magnitude relative to usual practice Head Start. Preschool classroom and home-visiting programs for low-income children can be improved with the use

A posture recognition based fall detection system for monitoring an elderly person in a smart home environment.

PubMed

Yu, Miao; Rhuma, Adel; Naqvi, Syed Mohsen; Wang, Liang; Chambers, Jonathon

2012-11-01

We propose a novel computer vision based fall detection system for monitoring an elderly person in a home care application. Background subtraction is applied to extract the foreground human body and the result is improved by using certain post-processing. Information from ellipse fitting and a projection histogram along the axes of the ellipse are used as the features for distinguishing different postures of the human. These features are then fed into a directed acyclic graph support vector machine (DAGSVM) for posture classification, the result of which is then combined with derived floor information to detect a fall. From a dataset of 15 people, we show that our fall detection system can achieve a high fall detection rate (97.08%) and a very low false detection rate (0.8%) in a simulated home environment.

Lessons Learned from Home Visiting with Home-Based Child Care Providers

ERIC Educational Resources Information Center

McCabe, Lisa A.; Peterson, Shira M.; Baker, Amy C.; Dumka, Marsha; Brach, Mary Jo; Webb, Diana

2011-01-01

Caring for Quality and Partners in Family Child Care are home visiting programs designed to improve the quality of home-based child care. This article describes the experiences of two different home visitors to demonstrate how programs such as these can help providers improve the overall quality of care, increase children's development, and lead…

The Combined Influence of Air Pollution and Home Learning Environment on Early Cognitive Skills in Children

PubMed Central

Stingone, Jeanette A.

2017-01-01

Cognitive skills are one component of school readiness that reflect a child’s neurodevelopment and are influenced by environmental and social factors. Most studies assess the impact of these factors individually, without taking into consideration the complex interactions of multiple factors. The objective of this study was to examine the joint association of markers of environmental pollution and of social factors on early cognitive skills in an urban cohort of children. For this, we chose isophorone in ambient air as a marker of industrial air pollution. Low quality home learning environments was chosen as a marker of the social factors contributing to cognitive development. Using a subpopulation from the Early Childhood Longitudinal Study, Birth Cohort (N = 4050), isophorone exposure was assigned using the 2002 National Air Toxics Assessment. Home learning environment was assessed with a modified version of the Home Observation for Measurement of the Environment (HOME) Inventory, and standardized math assessment scores were used as a measure of early cognitive skills. Multiple linear regression was used to estimate the effect of both exposures on math scores. After adjustment for confounders, children living in areas with ambient isophorone in the upper quintile of exposure (>0.49 ng/m3) had math scores that were 1.63 points lower than their less exposed peers [95% CI: −2.91, −0.34], and children with lower HOME scores (at or below 9 out of 12) had math scores that were 1.20 points lower than children with better HOME scores [95% CI: −2.30, −0.10]. In adjusted models accounting for identified confounders and both exposures of interest, both high isophorone exposure and low HOME score remained independently associated with math scores [−1.48, 95% CI: −2.79, −0.18; −1.05, 95% CI: −2.15, 0.05, respectively]. There was no statistical evidence of interaction between the two exposures, although children with both higher isophorone exposure and a low

The Combined Influence of Air Pollution and Home Learning Environment on Early Cognitive Skills in Children.

PubMed

Lett, Lanair A; Stingone, Jeanette A; Claudio, Luz

2017-10-26

Cognitive skills are one component of school readiness that reflect a child's neurodevelopment and are influenced by environmental and social factors. Most studies assess the impact of these factors individually, without taking into consideration the complex interactions of multiple factors. The objective of this study was to examine the joint association of markers of environmental pollution and of social factors on early cognitive skills in an urban cohort of children. For this, we chose isophorone in ambient air as a marker of industrial air pollution. Low quality home learning environments was chosen as a marker of the social factors contributing to cognitive development. Using a subpopulation from the Early Childhood Longitudinal Study, Birth Cohort (N = 4050), isophorone exposure was assigned using the 2002 National Air Toxics Assessment. Home learning environment was assessed with a modified version of the Home Observation for Measurement of the Environment (HOME) Inventory, and standardized math assessment scores were used as a measure of early cognitive skills. Multiple linear regression was used to estimate the effect of both exposures on math scores. After adjustment for confounders, children living in areas with ambient isophorone in the upper quintile of exposure (>0.49 ng/m³) had math scores that were 1.63 points lower than their less exposed peers [95% CI: -2.91, -0.34], and children with lower HOME scores (at or below 9 out of 12) had math scores that were 1.20 points lower than children with better HOME scores [95% CI: -2.30, -0.10]. In adjusted models accounting for identified confounders and both exposures of interest, both high isophorone exposure and low HOME score remained independently associated with math scores [-1.48, 95% CI: -2.79, -0.18; -1.05, 95% CI: -2.15, 0.05, respectively]. There was no statistical evidence of interaction between the two exposures, although children with both higher isophorone exposure and a low HOME score had a

Prevalence and correlates of drinking in early pregnancy among women who stopped drinking on pregnancy recognition.

PubMed

Parackal, S M; Parackal, M K; Harraway, J A

2013-04-01

Women of child bearing age that regularly drink alcohol are at risk for drinking in early pregnancy. Evidence indicates a majority of women stop alcohol consumption on pregnancy recognition. However, there is a dearth of studies reporting on patterns and correlates of drinking in early pregnancy prior to stopping on pregnancy recognition, which the current study aims to address. In 2005, a New Zealand nationwide cross-sectional survey was conducted on a random sample of 1,256 women aged 16-40 years. Data were collected via an interviewer-administered questionnaire using a web-assisted telephone interviewing system. Of the 1,256 women who participated, 127 (10 %) were currently pregnant and 425 women (34 %) were previously pregnant. Half of currently pregnant women and 37 % of previously pregnant women reported that they ceased drinking on recognising pregnancy. Women categorised as "risky drinkers" and those aged 16-24 years had higher odds to drink and binge drink in early pregnancy, compared with non-risky drinkers and women of other age categories respectively. A majority of women stop alcohol consumption on pregnancy recognition but prior to this, drink at levels posing a risk for the developing foetus. Women most at risk for drinking and binge drinking in early pregnancy were younger in age and exhibited risky drinking behaviour prior to pregnancy. A targeted intervention to reduce the risk for an alcohol exposed pregnancy is warranted for sexually active younger women in New Zealand and elsewhere.

Feasibility and acceptability of an early childhood obesity prevention intervention: results from the healthy homes, healthy families pilot study.

PubMed

Keita, Akilah Dulin; Risica, Patricia M; Drenner, Kelli L; Adams, Ingrid; Gorham, Gemma; Gans, Kim M

2014-01-01

This study examined the feasibility and acceptability of a home-based early childhood obesity prevention intervention designed to empower low-income racially/ethnically diverse parents to modify their children's health behaviors. We used a prospective design with pre-/posttest evaluation of 50 parent-child pairs (children aged 2 to 5 years) to examine potential changes in dietary, physical activity, and sedentary behaviors among children at baseline and four-month follow-up. 39 (78%) parent-child pairs completed evaluation data at 4-month follow-up. Vegetable intake among children significantly increased at follow-up (0.54 cups at 4 months compared to 0.28 cups at baseline, P = 0.001) and ounces of fruit juice decreased at follow-up (11.9 ounces at 4 months compared to 16.0 ounces at baseline, P = 0.036). Sedentary behaviors also improved. Children significantly decreased time spent watching TV on weekdays (P < 0.01) and also reduced weekend TV time. In addition, the number of homes with TV sets in the child's bedroom also decreased (P < 0.0013). The findings indicate that a home-based early childhood obesity prevention intervention is feasible, acceptable and demonstrates short-term effects on dietary and sedentary behaviors of low-income racially/ethnically diverse children.

38 CFR 51.30 - Recognition and certification.

Code of Federal Regulations, 2011 CFR

2011-07-01

... 38 Pensions, Bonuses, and Veterans' Relief 2 2011-07-01 2011-07-01 false Recognition and certification. 51.30 Section 51.30 Pensions, Bonuses, and Veterans' Relief DEPARTMENT OF VETERANS AFFAIRS (CONTINUED) PER DIEM FOR NURSING HOME CARE OF VETERANS IN STATE HOMES Obtaining Per Diem for Nursing Home...

38 CFR 51.30 - Recognition and certification.

Code of Federal Regulations, 2014 CFR

2014-07-01

... 38 Pensions, Bonuses, and Veterans' Relief 2 2014-07-01 2014-07-01 false Recognition and certification. 51.30 Section 51.30 Pensions, Bonuses, and Veterans' Relief DEPARTMENT OF VETERANS AFFAIRS (CONTINUED) PER DIEM FOR NURSING HOME CARE OF VETERANS IN STATE HOMES Obtaining Per Diem for Nursing Home...

38 CFR 51.30 - Recognition and certification.

Code of Federal Regulations, 2010 CFR

2010-07-01

... 38 Pensions, Bonuses, and Veterans' Relief 2 2010-07-01 2010-07-01 false Recognition and certification. 51.30 Section 51.30 Pensions, Bonuses, and Veterans' Relief DEPARTMENT OF VETERANS AFFAIRS (CONTINUED) PER DIEM FOR NURSING HOME CARE OF VETERANS IN STATE HOMES Obtaining Per Diem for Nursing Home...

38 CFR 51.30 - Recognition and certification.

Code of Federal Regulations, 2012 CFR

2012-07-01

... 38 Pensions, Bonuses, and Veterans' Relief 2 2012-07-01 2012-07-01 false Recognition and certification. 51.30 Section 51.30 Pensions, Bonuses, and Veterans' Relief DEPARTMENT OF VETERANS AFFAIRS (CONTINUED) PER DIEM FOR NURSING HOME CARE OF VETERANS IN STATE HOMES Obtaining Per Diem for Nursing Home...

38 CFR 51.30 - Recognition and certification.

Code of Federal Regulations, 2013 CFR

2013-07-01

... 38 Pensions, Bonuses, and Veterans' Relief 2 2013-07-01 2013-07-01 false Recognition and certification. 51.30 Section 51.30 Pensions, Bonuses, and Veterans' Relief DEPARTMENT OF VETERANS AFFAIRS (CONTINUED) PER DIEM FOR NURSING HOME CARE OF VETERANS IN STATE HOMES Obtaining Per Diem for Nursing Home...

Alert management for home healthcare based on home automation analysis.

PubMed

Truong, T T; de Lamotte, F; Diguet, J-Ph; Said-Hocine, F

2010-01-01

Rising healthcare for elder and disabled people can be controlled by offering people autonomy at home by means of information technology. In this paper, we present an original and sensorless alert management solution which performs multimedia and home automation service discrimination and extracts highly regular home activities as sensors for alert management. The results of simulation data, based on real context, allow us to evaluate our approach before application to real data.

Image preprocessing study on KPCA-based face recognition

NASA Astrophysics Data System (ADS)

Li, Xuan; Li, Dehua

2015-12-01

Face recognition as an important biometric identification method, with its friendly, natural, convenient advantages, has obtained more and more attention. This paper intends to research a face recognition system including face detection, feature extraction and face recognition, mainly through researching on related theory and the key technology of various preprocessing methods in face detection process, using KPCA method, focuses on the different recognition results in different preprocessing methods. In this paper, we choose YCbCr color space for skin segmentation and choose integral projection for face location. We use erosion and dilation of the opening and closing operation and illumination compensation method to preprocess face images, and then use the face recognition method based on kernel principal component analysis method for analysis and research, and the experiments were carried out using the typical face database. The algorithms experiment on MATLAB platform. Experimental results show that integration of the kernel method based on PCA algorithm under certain conditions make the extracted features represent the original image information better for using nonlinear feature extraction method, which can obtain higher recognition rate. In the image preprocessing stage, we found that images under various operations may appear different results, so as to obtain different recognition rate in recognition stage. At the same time, in the process of the kernel principal component analysis, the value of the power of the polynomial function can affect the recognition result.

Recognition of chemical entities: combining dictionary-based and grammar-based approaches.

PubMed

Akhondi, Saber A; Hettne, Kristina M; van der Horst, Eelke; van Mulligen, Erik M; Kors, Jan A

2015-01-01

The past decade has seen an upsurge in the number of publications in chemistry. The ever-swelling volume of available documents makes it increasingly hard to extract relevant new information from such unstructured texts. The BioCreative CHEMDNER challenge invites the development of systems for the automatic recognition of chemicals in text (CEM task) and for ranking the recognized compounds at the document level (CDI task). We investigated an ensemble approach where dictionary-based named entity recognition is used along with grammar-based recognizers to extract compounds from text. We assessed the performance of ten different commercial and publicly available lexical resources using an open source indexing system (Peregrine), in combination with three different chemical compound recognizers and a set of regular expressions to recognize chemical database identifiers. The effect of different stop-word lists, case-sensitivity matching, and use of chunking information was also investigated. We focused on lexical resources that provide chemical structure information. To rank the different compounds found in a text, we used a term confidence score based on the normalized ratio of the term frequencies in chemical and non-chemical journals. The use of stop-word lists greatly improved the performance of the dictionary-based recognition, but there was no additional benefit from using chunking information. A combination of ChEBI and HMDB as lexical resources, the LeadMine tool for grammar-based recognition, and the regular expressions, outperformed any of the individual systems. On the test set, the F-scores were 77.8% (recall 71.2%, precision 85.8%) for the CEM task and 77.6% (recall 71.7%, precision 84.6%) for the CDI task. Missed terms were mainly due to tokenization issues, poor recognition of formulas, and term conjunctions. We developed an ensemble system that combines dictionary-based and grammar-based approaches for chemical named entity recognition, outperforming

Recognition of chemical entities: combining dictionary-based and grammar-based approaches

PubMed Central

2015-01-01

Background The past decade has seen an upsurge in the number of publications in chemistry. The ever-swelling volume of available documents makes it increasingly hard to extract relevant new information from such unstructured texts. The BioCreative CHEMDNER challenge invites the development of systems for the automatic recognition of chemicals in text (CEM task) and for ranking the recognized compounds at the document level (CDI task). We investigated an ensemble approach where dictionary-based named entity recognition is used along with grammar-based recognizers to extract compounds from text. We assessed the performance of ten different commercial and publicly available lexical resources using an open source indexing system (Peregrine), in combination with three different chemical compound recognizers and a set of regular expressions to recognize chemical database identifiers. The effect of different stop-word lists, case-sensitivity matching, and use of chunking information was also investigated. We focused on lexical resources that provide chemical structure information. To rank the different compounds found in a text, we used a term confidence score based on the normalized ratio of the term frequencies in chemical and non-chemical journals. Results The use of stop-word lists greatly improved the performance of the dictionary-based recognition, but there was no additional benefit from using chunking information. A combination of ChEBI and HMDB as lexical resources, the LeadMine tool for grammar-based recognition, and the regular expressions, outperformed any of the individual systems. On the test set, the F-scores were 77.8% (recall 71.2%, precision 85.8%) for the CEM task and 77.6% (recall 71.7%, precision 84.6%) for the CDI task. Missed terms were mainly due to tokenization issues, poor recognition of formulas, and term conjunctions. Conclusions We developed an ensemble system that combines dictionary-based and grammar-based approaches for chemical named

Can the Fear Recognition Deficits Associated with Callous-Unemotional Traits be Identified in Early Childhood?

PubMed Central

Briggs-Gowan, Margaret J.; Voss, Joel L.; Petitclerc, Amelie; McCarthy, Kimberly; Blair, R. James R.; Wakschlag, Lauren S.

2016-01-01

Introduction Callous-unemotional (CU) traits in the presence of conduct problems are associated with increased risk of severe antisocial behavior. Developmentally sensitive methods of assessing CU traits have recently been generated, but their construct validity in relation to neurocognitive underpinnings of CU has not been demonstrated. The current study sought to investigate whether the fear-specific emotion recognition deficits associated with CU traits in older individuals are developmentally expressed in young children as low concern for others and punishment insensitivity. Methods A sub-sample of 337 preschoolers (mean age 4.8 years [SD=.8]) who completed neurocognitive tasks was taken from a larger project of preschool psychopathology. Children completed an emotional recognition task in which they were asked to identify the emotional face from the neutral faces in an array. CU traits were assessed using the Low Concern (LC) and Punishment Insensitivity (PI) subscales of the Multidimensional Assessment Profile of Disruptive Behavior (MAP-DB), which were specifically designed to differentiate the normative misbehavior of early childhood from atypical patterns. Results High LC, but not PI, scores were associated with a fear-specific deficit in emotion recognition. Girls were more accurate than boys in identifying emotional expressions but no significant interaction between LC or PI and sex was observed. Conclusions Fear recognition deficits associated with CU traits in older individuals were observed in preschoolers with developmentally-defined patterns of low concern for others. Confirming that the link between CU-related impairments in empathy and distinct neurocognitive deficits is present in very young children suggests that developmentally-specified measurement can detect the substrates of these severe behavioral patterns beginning much earlier than prior work. Exploring the development of CU traits and disruptive behavior disorders at very early ages may

"No place like home": Gender, family, and the politics of home care in post-world war II Ontario.

PubMed

Struthers, James

2003-01-01

Since the early 1990s home care increasingly has emerged as a favoured policy response to the growing costs which an aging population poses for our health care system. This paper explores the early history of home care for the elderly in Ontario during the first three decades after World War II. It demonstrates that policy debates over the merits of home versus institutional care for the elderly, and community-based over hospital-based approaches to home care are not recent phenomenon but have been on going since the 1940s within the public health and social services sector. The paper examines why home care failed for so long to develop beyond the margins of Ontario's highly institutionalized health care system. It also explores how earlier visions of community-based home care, designed to help the elderly age in place, increasingly were obscured by an exclusive preoccupation with home care's "cost effectiveness" as an alternative to hospital or residential care, a rationale which discounted home care's costs to unpaid and principally female care givers. The paper concludes that the Ontario health ministry's systematic devaluing of caregiving and home maker skills, the fear of undermining the family's willingness to provide care, as well as the failure to develop effective mechanisms for integrated regional health care planning, also impeded the progress of home care's development before the 1980s.

Lexical Access in Early Stages of Visual Word Processing: A Single-Trial Correlational MEG Study of Heteronym Recognition

ERIC Educational Resources Information Center

Solomyak, Olla; Marantz, Alec

2009-01-01

We present an MEG study of heteronym recognition, aiming to distinguish between two theories of lexical access: the "early access" theory, which entails that lexical access occurs at early (pre 200 ms) stages of processing, and the "late access" theory, which interprets this early activity as orthographic word-form identification rather than…

Feasibility and Efficacy of Brief Computerized Training to Improve Emotion Recognition in Premanifest and Early-Symptomatic Huntington's Disease.

PubMed

Kempnich, Clare L; Wong, Dana; Georgiou-Karistianis, Nellie; Stout, Julie C

2017-04-01

Deficits in the recognition of negative emotions emerge before clinical diagnosis in Huntington's disease (HD). To address emotion recognition deficits, which have been shown in schizophrenia to be improved by computerized training, we conducted a study of the feasibility and efficacy of computerized training of emotion recognition in HD. We randomly assigned 22 individuals with premanifest or early symptomatic HD to the training or control group. The training group used a self-guided online training program, MicroExpression Training Tool (METT), twice weekly for 4 weeks. All participants completed measures of emotion recognition at baseline and post-training time-points. Participants in the training group also completed training adherence measures. Participants in the training group completed seven of the eight sessions on average. Results showed a significant group by time interaction, indicating that METT training was associated with improved accuracy in emotion recognition. Although sample size was small, our study demonstrates that emotion recognition remediation using the METT is feasible in terms of training adherence. The evidence also suggests METT may be effective in premanifest or early-symptomatic HD, opening up a potential new avenue for intervention. Further study with a larger sample size is needed to replicate these findings, and to characterize the durability and generalizability of these improvements, and their impact on functional outcomes in HD. (JINS, 2017, 23, 314-321).

Fast and accurate face recognition based on image compression

NASA Astrophysics Data System (ADS)

Zheng, Yufeng; Blasch, Erik

2017-05-01

Image compression is desired for many image-related applications especially for network-based applications with bandwidth and storage constraints. The face recognition community typical reports concentrate on the maximal compression rate that would not decrease the recognition accuracy. In general, the wavelet-based face recognition methods such as EBGM (elastic bunch graph matching) and FPB (face pattern byte) are of high performance but run slowly due to their high computation demands. The PCA (Principal Component Analysis) and LDA (Linear Discriminant Analysis) algorithms run fast but perform poorly in face recognition. In this paper, we propose a novel face recognition method based on standard image compression algorithm, which is termed as compression-based (CPB) face recognition. First, all gallery images are compressed by the selected compression algorithm. Second, a mixed image is formed with the probe and gallery images and then compressed. Third, a composite compression ratio (CCR) is computed with three compression ratios calculated from: probe, gallery and mixed images. Finally, the CCR values are compared and the largest CCR corresponds to the matched face. The time cost of each face matching is about the time of compressing the mixed face image. We tested the proposed CPB method on the "ASUMSS face database" (visible and thermal images) from 105 subjects. The face recognition accuracy with visible images is 94.76% when using JPEG compression. On the same face dataset, the accuracy of FPB algorithm was reported as 91.43%. The JPEG-compressionbased (JPEG-CPB) face recognition is standard and fast, which may be integrated into a real-time imaging device.

Towards NIRS-based hand movement recognition.

PubMed

Paleari, Marco; Luciani, Riccardo; Ariano, Paolo

2017-07-01

This work reports on preliminary results about on hand movement recognition with Near InfraRed Spectroscopy (NIRS) and surface ElectroMyoGraphy (sEMG). Either basing on physical contact (touchscreens, data-gloves, etc.), vision techniques (Microsoft Kinect, Sony PlayStation Move, etc.), or other modalities, hand movement recognition is a pervasive function in today environment and it is at the base of many gaming, social, and medical applications. Albeit, in recent years, the use of muscle information extracted by sEMG has spread out from the medical applications to contaminate the consumer world, this technique still falls short when dealing with movements of the hand. We tested NIRS as a technique to get another point of view on the muscle phenomena and proved that, within a specific movements selection, NIRS can be used to recognize movements and return information regarding muscles at different depths. Furthermore, we propose here three different multimodal movement recognition approaches and compare their performances.

Fathers' and Mothers' Home Learning Environments and Children's Early Academic Outcomes

ERIC Educational Resources Information Center

Foster, Tricia D.; Froyen, Laura C.; Skibbe, Lori E.; Bowles, Ryan P.; Decker, Kalli B.

2016-01-01

The home learning environment (HLE) that children experience early on is highly predictive of their later academic competencies; however, the bulk of this work is operationalized from mothers' perspectives. This study investigates the HLE provided by both mothers and fathers to their preschoolers (n = 767), with consideration for how parents'…

Difficulties in Automatic Speech Recognition of Dysarthric Speakers and Implications for Speech-Based Applications Used by the Elderly: A Literature Review

ERIC Educational Resources Information Center

Young, Victoria; Mihailidis, Alex

2010-01-01

Despite their growing presence in home computer applications and various telephony services, commercial automatic speech recognition technologies are still not easily employed by everyone; especially individuals with speech disorders. In addition, relatively little research has been conducted on automatic speech recognition performance with older…

The beneficial effect of oxytocin on avoidance-related facial emotion recognition depends on early life stress experience.

PubMed

Feeser, Melanie; Fan, Yan; Weigand, Anne; Hahn, Adam; Gärtner, Matti; Aust, Sabine; Böker, Heinz; Bajbouj, Malek; Grimm, Simone

2014-12-01

Previous studies have shown that oxytocin (OXT) enhances social cognitive processes. It has also been demonstrated that OXT does not uniformly facilitate social cognition. The effects of OXT administration strongly depend on the exposure to stressful experiences in early life. Emotional facial recognition is crucial for social cognition. However, no study has yet examined how the effects of OXT on the ability to identify emotional faces are altered by early life stress (ELS) experiences. Given the role of OXT in modulating social motivational processes, we specifically aimed to investigate its effects on the recognition of approach- and avoidance-related facial emotions. In a double-blind, between-subjects, placebo-controlled design, 82 male participants performed an emotion recognition task with faces taken from the "Karolinska Directed Emotional Faces" set. We clustered the six basic emotions along the dimensions approach (happy, surprise, anger) and avoidance (fear, sadness, disgust). ELS was assessed with the Childhood Trauma Questionnaire (CTQ). Our results showed that OXT improved the ability to recognize avoidance-related emotional faces as compared to approach-related emotional faces. Whereas the performance for avoidance-related emotions in participants with higher ELS scores was comparable in both OXT and placebo condition, OXT enhanced emotion recognition in participants with lower ELS scores. Independent of OXT administration, we observed increased emotion recognition for avoidance-related faces in participants with high ELS scores. Our findings suggest that the investigation of OXT on social recognition requires a broad approach that takes ELS experiences as well as motivational processes into account.

A depth video sensor-based life-logging human activity recognition system for elderly care in smart indoor environments.

PubMed

Jalal, Ahmad; Kamal, Shaharyar; Kim, Daijin

2014-07-02

Recent advancements in depth video sensors technologies have made human activity recognition (HAR) realizable for elderly monitoring applications. Although conventional HAR utilizes RGB video sensors, HAR could be greatly improved with depth video sensors which produce depth or distance information. In this paper, a depth-based life logging HAR system is designed to recognize the daily activities of elderly people and turn these environments into an intelligent living space. Initially, a depth imaging sensor is used to capture depth silhouettes. Based on these silhouettes, human skeletons with joint information are produced which are further used for activity recognition and generating their life logs. The life-logging system is divided into two processes. Firstly, the training system includes data collection using a depth camera, feature extraction and training for each activity via Hidden Markov Models. Secondly, after training, the recognition engine starts to recognize the learned activities and produces life logs. The system was evaluated using life logging features against principal component and independent component features and achieved satisfactory recognition rates against the conventional approaches. Experiments conducted on the smart indoor activity datasets and the MSRDailyActivity3D dataset show promising results. The proposed system is directly applicable to any elderly monitoring system, such as monitoring healthcare problems for elderly people, or examining the indoor activities of people at home, office or hospital.

A Depth Video Sensor-Based Life-Logging Human Activity Recognition System for Elderly Care in Smart Indoor Environments

PubMed Central

Jalal, Ahmad; Kamal, Shaharyar; Kim, Daijin

2014-01-01

Recent advancements in depth video sensors technologies have made human activity recognition (HAR) realizable for elderly monitoring applications. Although conventional HAR utilizes RGB video sensors, HAR could be greatly improved with depth video sensors which produce depth or distance information. In this paper, a depth-based life logging HAR system is designed to recognize the daily activities of elderly people and turn these environments into an intelligent living space. Initially, a depth imaging sensor is used to capture depth silhouettes. Based on these silhouettes, human skeletons with joint information are produced which are further used for activity recognition and generating their life logs. The life-logging system is divided into two processes. Firstly, the training system includes data collection using a depth camera, feature extraction and training for each activity via Hidden Markov Models. Secondly, after training, the recognition engine starts to recognize the learned activities and produces life logs. The system was evaluated using life logging features against principal component and independent component features and achieved satisfactory recognition rates against the conventional approaches. Experiments conducted on the smart indoor activity datasets and the MSRDailyActivity3D dataset show promising results. The proposed system is directly applicable to any elderly monitoring system, such as monitoring healthcare problems for elderly people, or examining the indoor activities of people at home, office or hospital. PMID:24991942

Randomised controlled trial comparing effectiveness and acceptability of an early discharge, hospital at home scheme with acute hospital care

PubMed Central

Richards, Suzanne H; Coast, Joanna; Gunnell, David J; Peters, Tim J; Pounsford, John; Darlow, Mary-Anne

1998-01-01

Objective: To compare effectiveness and acceptability of early discharge to a hospital at home scheme with that of routine discharge from acute hospital. Design: Pragmatic randomised controlled trial. Setting: Acute hospital wards and community in north of Bristol, with a catchment population of about 224 000 people. Subjects: 241 hospitalised but medically stable elderly patients who fulfilled criteria for early discharge to hospital at home scheme and who consented to participate. Interventions: Patients’ received hospital at home care or routine hospital care. Main outcome measures: Patients’ quality of life, satisfaction, and physical functioning assessed at 4 weeks and 3 months after randomisation to treatment; length of stay in hospital and in hospital at home scheme after randomisation; mortality at 3 months. Results: There were no significant differences in patient mortality, quality of life, and physical functioning between the two arms of the trial at 4 weeks or 3 months. Only one of 11 measures of patient satisfaction was significantly different: hospital at home patients perceived higher levels of involvement in decisions. Length of stay for those receiving routine hospital care was 62% (95% confidence interval 51% to 75%) of length of stay in hospital at home scheme. Conclusions: The early discharge hospital at home scheme was similar to routine hospital discharge in terms of effectiveness and acceptability. Increased length of stay associated with the scheme must be interpreted with caution because of different organisational characteristics of the services. Key messages Pressure on hospital beds, the increasing age of the population, and high costs associated with acute hospital care have fuelled the search for alternatives to inpatient hospital care There were no significant differences between early discharge to hospital at home scheme and routine hospital care in terms of patient quality of life, physical functioning, and most measures of

Improving Outcomes for Teenage Pregnancy and Early Parenthood for Young People in Out-of-Home Care: A Review of the Literature

ERIC Educational Resources Information Center

Mendes, Philip

2009-01-01

Young people leaving out-of-home care are overrepresented among teenage parents. This paper examines the research literature and identifies key factors that contribute to early pregnancy and parenthood for care leavers, the challenges of early parenting and the positive effects of early parenting. The implications for out-of-home care policy and…

Recognition memory for Braille or spoken words: an fMRI study in early blind.

PubMed

Burton, Harold; Sinclair, Robert J; Agato, Alvin

2012-02-15

We examined cortical activity in early blind during word recognition memory. Nine participants were blind at birth and one by 1.5years. In an event-related design, we studied blood oxygen level-dependent responses to studied ("old") compared to novel ("new") words. Presentation mode was in Braille or spoken. Responses were larger for identified "new" words read with Braille in bilateral lower and higher tier visual areas and primary somatosensory cortex. Responses to spoken "new" words were larger in bilateral primary and accessory auditory cortex. Auditory cortex was unresponsive to Braille words and occipital cortex responded to spoken words but not differentially with "old"/"new" recognition. Left dorsolateral prefrontal cortex had larger responses to "old" words only with Braille. Larger occipital cortex responses to "new" Braille words suggested verbal memory based on the mechanism of recollection. A previous report in sighted noted larger responses for "new" words studied in association with pictures that created a distinctiveness heuristic source factor which enhanced recollection during remembering. Prior behavioral studies in early blind noted an exceptional ability to recall words. Utilization of this skill by participants in the current study possibly engendered recollection that augmented remembering "old" words. A larger response when identifying "new" words possibly resulted from exhaustive recollecting the sensory properties of "old" words in modality appropriate sensory cortices. The uniqueness of a memory role for occipital cortex is in its cross-modal responses to coding tactile properties of Braille. The latter possibly reflects a "sensory echo" that aids recollection. Copyright © 2011 Elsevier B.V. All rights reserved.

Federal Home Visiting under the Affordable Care Act

ERIC Educational Resources Information Center

Strader, Kathleen; Counts, Jacqueline; Filene, Jill

2013-01-01

The Maternal, Infant, and Early Childhood Home Visiting (MIECHV) Program is part of The Patient Protection and Affordable Care Act and provides $1.5 billion over 5 years to states, territories, and tribes with the goal of delivering evidence-based home visiting services as part of a high-quality, comprehensive early childhood system that promotes…

Inertial Sensor-Based Gait Recognition: A Review

PubMed Central

Sprager, Sebastijan; Juric, Matjaz B.

2015-01-01

With the recent development of microelectromechanical systems (MEMS), inertial sensors have become widely used in the research of wearable gait analysis due to several factors, such as being easy-to-use and low-cost. Considering the fact that each individual has a unique way of walking, inertial sensors can be applied to the problem of gait recognition where assessed gait can be interpreted as a biometric trait. Thus, inertial sensor-based gait recognition has a great potential to play an important role in many security-related applications. Since inertial sensors are included in smart devices that are nowadays present at every step, inertial sensor-based gait recognition has become very attractive and emerging field of research that has provided many interesting discoveries recently. This paper provides a thorough and systematic review of current state-of-the-art in this field of research. Review procedure has revealed that the latest advanced inertial sensor-based gait recognition approaches are able to sufficiently recognise the users when relying on inertial data obtained during gait by single commercially available smart device in controlled circumstances, including fixed placement and small variations in gait. Furthermore, these approaches have also revealed considerable breakthrough by realistic use in uncontrolled circumstances, showing great potential for their further development and wide applicability. PMID:26340634

Early visual experience and the recognition of basic facial expressions: involvement of the middle temporal and inferior frontal gyri during haptic identification by the early blind.

PubMed

Kitada, Ryo; Okamoto, Yuko; Sasaki, Akihiro T; Kochiyama, Takanori; Miyahara, Motohide; Lederman, Susan J; Sadato, Norihiro

2013-01-01

Face perception is critical for social communication. Given its fundamental importance in the course of evolution, the innate neural mechanisms can anticipate the computations necessary for representing faces. However, the effect of visual deprivation on the formation of neural mechanisms that underlie face perception is largely unknown. We previously showed that sighted individuals can recognize basic facial expressions by haptics surprisingly well. Moreover, the inferior frontal gyrus (IFG) and posterior superior temporal sulcus (pSTS) in the sighted subjects are involved in haptic and visual recognition of facial expressions. Here, we conducted both psychophysical and functional magnetic-resonance imaging (fMRI) experiments to determine the nature of the neural representation that subserves the recognition of basic facial expressions in early blind individuals. In a psychophysical experiment, both early blind and sighted subjects haptically identified basic facial expressions at levels well above chance. In the subsequent fMRI experiment, both groups haptically identified facial expressions and shoe types (control). The sighted subjects then completed the same task visually. Within brain regions activated by the visual and haptic identification of facial expressions (relative to that of shoes) in the sighted group, corresponding haptic identification in the early blind activated regions in the inferior frontal and middle temporal gyri. These results suggest that the neural system that underlies the recognition of basic facial expressions develops supramodally even in the absence of early visual experience.

Home-based care after a shortened hospital stay versus hospital-based care postpartum: an economic evaluation.

PubMed

Petrou, Stavros; Boulvain, Michel; Simon, Judit; Maricot, Patrice; Borst, François; Perneger, Thomas; Irion, Olivier

2004-08-01

To compare the cost effectiveness of early postnatal discharge and home midwifery support with a traditional postnatal hospital stay. Cost minimisation analysis within a pragmatic randomised controlled trial. The University Hospital of Geneva and its catchment area. Four hundred and fifty-nine deliveries of a single infant at term following an uncomplicated pregnancy. Prospective economic evaluation alongside a randomised controlled trial in which women were allocated to either early postnatal discharge combined with home midwifery support (n= 228) or a traditional postnatal hospital stay (n= 231). Costs (Swiss francs, 2000 prices) to the health service, social services, patients, carers and society accrued between delivery and 28 days postpartum. Clinical and psychosocial outcomes were similar in the two trial arms. Early postnatal discharge combined with home midwifery support resulted in a significant reduction in postnatal hospital care costs (bootstrap mean difference 1524 francs, 95% confidence interval [CI] 675 to 2403) and a significant increase in community care costs (bootstrap mean difference 295 francs, 95% CI 245 to 343). There were no significant differences in average hospital readmission, hospital outpatient care, direct non-medical and indirect costs between the two trial groups. Overall, early postnatal discharge combined with home midwifery support resulted in a significant cost saving of 1221 francs per mother-infant dyad (bootstrap mean difference 1209 francs, 95% CI 202 to 2155). This finding remained relatively robust following variations in the values of key economic parameters performed as part of a comprehensive sensitivity analysis. A policy of early postnatal discharge combined with home midwifery support exhibits weak economic dominance over traditional postnatal care, that is, it significantly reduces costs without compromising the health and wellbeing of the mother and infant.

Randomized trial of a home monitoring system for early detection of choroidal neovascularization home monitoring of the Eye (HOME) study.

PubMed

Chew, Emily Y; Clemons, Traci E; Bressler, Susan B; Elman, Michael J; Danis, Ronald P; Domalpally, Amitha; Heier, Jeffrey S; Kim, Judy E; Garfinkel, Richard

2014-02-01

To determine whether home monitoring with the ForeseeHome device (Notal Vision Ltd, Tel Aviv, Israel), using macular visual field testing with hyperacuity techniques and telemonitoring, results in earlier detection of age-related macular degeneration-associated choroidal neovascularization (CNV), reflected in better visual acuity, when compared with standard care. The main predictor of treatment outcome from anti-vascular endothelial growth factor (VEGF) agents is the visual acuity at the time of CNV treatment. Unmasked, controlled, randomized clinical trial. One thousand nine hundred and seventy participants 53 to 90 years of age at high risk of CNV developing were screened. Of these, 1520 participants with a mean age of 72.5 years were enrolled in the Home Monitoring of the Eye study at 44 Age-Related Eye Disease Study 2 clinical centers. In the standard care and device arms arm, investigator-specific instructions were provided for self-monitoring vision at home followed by report of new symptoms to the clinic. In the device arm, the device was provided with recommendations for daily testing. The device monitoring center received test results and reported changes to the clinical centers, which contacted participants for examination. The main outcome measure was the difference in best-corrected visual acuity scores between baseline and detection of CNV. The event was determined by investigators based on clinical examination, color fundus photography, fluorescein angiography, and optical coherence tomography findings. Masked graders at a central reading center evaluated the images using standardized protocols. Seven hundred sixty-three participants were randomized to device monitoring and 757 participants were randomized to standard care and were followed up for a mean of 1.4 years between July 2010 and April 2013. At the prespecified interim analysis, 82 participants progressed to CNV, 51 in the device arm and 31 in the standard care arm. The primary analysis

A multi-method review of home-based chemotherapy.

PubMed

Evans, J M; Qiu, M; MacKinnon, M; Green, E; Peterson, K; Kaizer, L

2016-09-01

This study summarises research- and practice-based evidence on home-based chemotherapy, and explores existing delivery models. A three-pronged investigation was conducted consisting of a literature review and synthesis of 54 papers, a review of seven home-based chemotherapy programmes spanning four countries, and two case studies within the Canadian province of Ontario. The results support the provision of home-based chemotherapy as a safe and patient-centred alternative to hospital- and outpatient-based service. This paper consolidates information on home-based chemotherapy programmes including services and drugs offered, patient eligibility criteria, patient views and experiences, delivery structures and processes, and common challenges. Fourteen recommendations are also provided for improving the delivery of chemotherapy in patients' homes by prioritising patient-centredness, provider training and teamwork, safety and quality of care, and programme management. The results of this study can be used to inform the development of an evidence-informed model for the delivery of chemotherapy and related care, such as symptom management, in patients' homes. © 2015 John Wiley & Sons Ltd.

Clinical and cost-effectiveness of home-based cardiac rehabilitation compared to conventional, centre-based cardiac rehabilitation: Results of the FIT@Home study.

PubMed

Kraal, Jos J; Van den Akker-Van Marle, M Elske; Abu-Hanna, Ameen; Stut, Wim; Peek, Niels; Kemps, Hareld Mc

2017-08-01

Aim Although cardiac rehabilitation improves physical fitness after a cardiac event, many eligible patients do not participate in cardiac rehabilitation and the beneficial effects of cardiac rehabilitation are often not maintained over time. Home-based training with telemonitoring guidance could improve participation rates and enhance long-term effectiveness. Methods and results We randomised 90 low-to-moderate cardiac risk patients entering cardiac rehabilitation to three months of either home-based training with telemonitoring guidance or centre-based training. Although training adherence was similar between groups, satisfaction was higher in the home-based group ( p = 0.02). Physical fitness improved at discharge ( p < 0.01) and at one-year follow-up ( p < 0.01) in both groups, without differences between groups (home-based p = 0.31 and centre-based p = 0.87). Physical activity levels did not change during the one-year study period (centre-based p = 0.38, home-based p = 0.80). Healthcare costs were statistically non-significantly lower in the home-based group (€437 per patient, 95% confidence interval -562 to 1436, p = 0.39). From a societal perspective, a statistically non-significant difference of €3160 per patient in favour of the home-based group was found (95% confidence interval -460 to 6780, p = 0.09) and the probability that it was more cost-effective varied between 97% and 75% (willingness-to-pay of €0 and €100,000 per quality-adjusted life-years, respectively). Conclusion We found no differences between home-based training with telemonitoring guidance and centre-based training on physical fitness, physical activity level or health-related quality of life. However, home-based training was associated with a higher patient satisfaction and appears to be more cost-effective than centre-based training. We conclude that home-based training with telemonitoring guidance can be used as an alternative to centre-based

Head Start Home-Based Resource Directory.

ERIC Educational Resources Information Center

Trans-Management Systems, Inc.

A revision of the 1989 publication, this directory was compiled in order to help parents and professionals involved with Head Start home-based programming in meeting the needs of young children and families. The directory lists a broad range of guides and resources on topics related to Head Start home-based programs. Each listing provides the…

Object Recognition using Feature- and Color-Based Methods

NASA Technical Reports Server (NTRS)

Duong, Tuan; Duong, Vu; Stubberud, Allen

2008-01-01

An improved adaptive method of processing image data in an artificial neural network has been developed to enable automated, real-time recognition of possibly moving objects under changing (including suddenly changing) conditions of illumination and perspective. The method involves a combination of two prior object-recognition methods one based on adaptive detection of shape features and one based on adaptive color segmentation to enable recognition in situations in which either prior method by itself may be inadequate. The chosen prior feature-based method is known as adaptive principal-component analysis (APCA); the chosen prior color-based method is known as adaptive color segmentation (ACOSE). These methods are made to interact with each other in a closed-loop system to obtain an optimal solution of the object-recognition problem in a dynamic environment. One of the results of the interaction is to increase, beyond what would otherwise be possible, the accuracy of the determination of a region of interest (containing an object that one seeks to recognize) within an image. Another result is to provide a minimized adaptive step that can be used to update the results obtained by the two component methods when changes of color and apparent shape occur. The net effect is to enable the neural network to update its recognition output and improve its recognition capability via an adaptive learning sequence. In principle, the improved method could readily be implemented in integrated circuitry to make a compact, low-power, real-time object-recognition system. It has been proposed to demonstrate the feasibility of such a system by integrating a 256-by-256 active-pixel sensor with APCA, ACOSE, and neural processing circuitry on a single chip. It has been estimated that such a system on a chip would have a volume no larger than a few cubic centimeters, could operate at a rate as high as 1,000 frames per second, and would consume in the order of milliwatts of power.

Computer-Based and Paper-Based Measurement of Recognition Performance.

ERIC Educational Resources Information Center

Federico, Pat-Anthony

To determine the relative reliabilities and validities of paper-based and computer-based measurement procedures, 83 male student pilots and radar intercept officers were administered computer and paper-based tests of aircraft recognition. The subject matter consisted of line drawings of front, side, and top silhouettes of aircraft. Reliabilities…

Early Sign Language Exposure and Cochlear Implantation Benefits.

PubMed

Geers, Ann E; Mitchell, Christine M; Warner-Czyz, Andrea; Wang, Nae-Yuh; Eisenberg, Laurie S

2017-07-01

Most children with hearing loss who receive cochlear implants (CI) learn spoken language, and parents must choose early on whether to use sign language to accompany speech at home. We address whether parents' use of sign language before and after CI positively influences auditory-only speech recognition, speech intelligibility, spoken language, and reading outcomes. Three groups of children with CIs from a nationwide database who differed in the duration of early sign language exposure provided in their homes were compared in their progress through elementary grades. The groups did not differ in demographic, auditory, or linguistic characteristics before implantation. Children without early sign language exposure achieved better speech recognition skills over the first 3 years postimplant and exhibited a statistically significant advantage in spoken language and reading near the end of elementary grades over children exposed to sign language. Over 70% of children without sign language exposure achieved age-appropriate spoken language compared with only 39% of those exposed for 3 or more years. Early speech perception predicted speech intelligibility in middle elementary grades. Children without sign language exposure produced speech that was more intelligible (mean = 70%) than those exposed to sign language (mean = 51%). This study provides the most compelling support yet available in CI literature for the benefits of spoken language input for promoting verbal development in children implanted by 3 years of age. Contrary to earlier published assertions, there was no advantage to parents' use of sign language either before or after CI. Copyright © 2017 by the American Academy of Pediatrics.

Evaluation of an oral health education session for Early Head Start home visitors.

PubMed

Glatt, Kevin; Okunseri, Christopher; Flanagan, Diane; Simpson, Pippa; Cao, Yumei; Willis, Earnestine

2016-06-01

Home visiting programs promote the education and health of Early Head Start (EHS) children and pregnant women. However, EHS's oral health component is unevenly implemented. We conducted an educational intervention to improve oral health knowledge and motivational interviewing techniques among Wisconsin EHS home visitors. A questionnaire assessing oral health-related knowledge and confidence was administered to home visitors before and after an educational session. Changes between pre/post-responses were analyzed with McNemar's test and Wilcoxon Signed Rank test. After the intervention there were increases in both knowledge and confidence related to oral health communication. Knowledge increases were observed in such topics as fluoridation, dental caries, and caregivers' role in assisting and supervising children's tooth brushing. A brief educational intervention was associated with increased home visitor knowledge and confidence in communicating oral health messages to EHS caregivers and pregnant women. © 2016 American Association of Public Health Dentistry.

Event Recognition Based on Deep Learning in Chinese Texts

PubMed Central

Zhang, Yajun; Liu, Zongtian; Zhou, Wen

2016-01-01

Event recognition is the most fundamental and critical task in event-based natural language processing systems. Existing event recognition methods based on rules and shallow neural networks have certain limitations. For example, extracting features using methods based on rules is difficult; methods based on shallow neural networks converge too quickly to a local minimum, resulting in low recognition precision. To address these problems, we propose the Chinese emergency event recognition model based on deep learning (CEERM). Firstly, we use a word segmentation system to segment sentences. According to event elements labeled in the CEC 2.0 corpus, we classify words into five categories: trigger words, participants, objects, time and location. Each word is vectorized according to the following six feature layers: part of speech, dependency grammar, length, location, distance between trigger word and core word and trigger word frequency. We obtain deep semantic features of words by training a feature vector set using a deep belief network (DBN), then analyze those features in order to identify trigger words by means of a back propagation neural network. Extensive testing shows that the CEERM achieves excellent recognition performance, with a maximum F-measure value of 85.17%. Moreover, we propose the dynamic-supervised DBN, which adds supervised fine-tuning to a restricted Boltzmann machine layer by monitoring its training performance. Test analysis reveals that the new DBN improves recognition performance and effectively controls the training time. Although the F-measure increases to 88.11%, the training time increases by only 25.35%. PMID:27501231

Event Recognition Based on Deep Learning in Chinese Texts.

PubMed

Zhang, Yajun; Liu, Zongtian; Zhou, Wen

2016-01-01

Event recognition is the most fundamental and critical task in event-based natural language processing systems. Existing event recognition methods based on rules and shallow neural networks have certain limitations. For example, extracting features using methods based on rules is difficult; methods based on shallow neural networks converge too quickly to a local minimum, resulting in low recognition precision. To address these problems, we propose the Chinese emergency event recognition model based on deep learning (CEERM). Firstly, we use a word segmentation system to segment sentences. According to event elements labeled in the CEC 2.0 corpus, we classify words into five categories: trigger words, participants, objects, time and location. Each word is vectorized according to the following six feature layers: part of speech, dependency grammar, length, location, distance between trigger word and core word and trigger word frequency. We obtain deep semantic features of words by training a feature vector set using a deep belief network (DBN), then analyze those features in order to identify trigger words by means of a back propagation neural network. Extensive testing shows that the CEERM achieves excellent recognition performance, with a maximum F-measure value of 85.17%. Moreover, we propose the dynamic-supervised DBN, which adds supervised fine-tuning to a restricted Boltzmann machine layer by monitoring its training performance. Test analysis reveals that the new DBN improves recognition performance and effectively controls the training time. Although the F-measure increases to 88.11%, the training time increases by only 25.35%.

Economic Evaluation of a Home-Based Age-Related Macular Degeneration Monitoring System.

PubMed

Wittenborn, John S; Clemons, Traci; Regillo, Carl; Rayess, Nadim; Liffmann Kruger, Danielle; Rein, David

2017-05-01

Medicare recently approved coverage of home telemonitoring for early detection of incident choroidal neovascularization (CNV) among patients with age-related macular degeneration (AMD), but no economic evaluation has yet assessed its cost-effectiveness and budgetary impact. To evaluate a home-based daily visual-field monitoring system using simulation methods and to apply the findings of the Home Monitoring of the Eye study to the US population at high risk for wet-form AMD. In this economic analysis, an evaluation of the potential cost, cost-effectiveness, and government budgetary impact of adoption of a home-based daily visual-field monitoring system among eligible Medicare patients was performed. Effectiveness and visual outcomes data from the Age-Related Eye Disease Study 2 Home Monitoring of the Eye study, treatment data from the Wills Eye Hospital Treat & Extend study, and AMD progression data from the Age-Related Eye Disease Study 1 were used to simulate the long-term effects of telemonitoring patients with CNV in one eye or large drusen and/or pigment abnormalities in both eyes. Univariate and probabilistic sensitivity analysis and an alternative scenario using the Treat & Extend study control group outcomes were used to examine uncertainty in these data and assumptions. Home telemonitoring of patients with AMD for early detection of CNV vs usual care. Incremental cost-effectiveness ratio, net present value of lifetime societal costs, and 10-year nominal government expenditures. Telemonitoring of patients with existing unilateral CNV or multiple bilateral risk factors for CNV (large drusen and retinal pigment abnormalities) incurs $907 (95% CI, -$6302 to $2809) in net lifetime societal costs, costs $1312 (95% CI, $222-$2848) per patient during 10 years from the federal government's perspective, and results in an incremental cost-effectiveness ratio of $35 663 (95% CI, cost savings to $235 613) per quality-adjusted life-year gained. Home telemonitoring

Early developmental milestones and age of independent walking in orphans compared with typical home-raised infants.

PubMed

Chaibal, Supattra; Bennett, Surussawadi; Rattanathanthong, Korrawan; Siritaratiwat, Wantana

2016-10-01

Early gross motor development is a major indicator of global milestones in the first year of life, affecting the walking ability of a child. There has been limited research reporting on early motor development and the age of independent walking of orphaned infants compared to typical home-raised infants. The purpose of this study was to compare the mean scores of early gross motor movement at 4, 6 and 8months of age and at the age of walking attainment of typically raised infants and orphaned infants. In addition, we looked to compare the walking age between these same infants. This cross-sectional study recruited 59 typical home-raised infants and 62 orphans. Their gross motor development was assessed using the Alberta Infant Motor Scale (AIMS). The age of walking attainment was also prospectively monitored and ascertained. The Student's independent t-test was used to analyse the differences of the AIMS scores at 4, 6 and 8months of age and at the age of independent walking between the two groups. The orphans showed significantly lower AIMS scores at 4, 6 and 8months of age and the age of independent walking (P-value<0.05). The orphan group had a 5-month older mean age of walking attainment (15.0±4.2months) compared with typical home-raised infants (9.9±1.4months). Orphans have delays in early gross motor development and walk independently at an older age, compared with home-raised infants. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Smart home-based health platform for behavioral monitoring and alteration of diabetes patients.

PubMed

Helal, Abdelsalam; Cook, Diane J; Schmalz, Mark

2009-01-01

Researchers and medical practitioners have long sought the ability to continuously and automatically monitor patients beyond the confines of a doctor's office. We describe a smart home monitoring and analysis platform that facilitates the automatic gathering of rich databases of behavioral information in a manner that is transparent to the patient. Collected information will be automatically or manually analyzed and reported to the caregivers and may be interpreted for behavioral modification in the patient. Our health platform consists of five technology layers. The architecture is designed to be flexible, extensible, and transparent, to support plug-and-play operation of new devices and components, and to provide remote monitoring and programming opportunities. The smart home-based health platform technologies have been tested in two physical smart environments. Data that are collected in these implemented physical layers are processed and analyzed by our activity recognition and chewing classification algorithms. All of these components have yielded accurate analyses for subjects in the smart environment test beds. This work represents an important first step in the field of smart environment-based health monitoring and assistance. The architecture can be used to monitor the activity, diet, and exercise compliance of diabetes patients and evaluate the effects of alternative medicine and behavior regimens. We believe these technologies are essential for providing accessible, low-cost health assistance in an individual's own home and for providing the best possible quality of life for individuals with diabetes. © Diabetes Technology Society

A Motion-Based Feature for Event-Based Pattern Recognition

PubMed Central

Clady, Xavier; Maro, Jean-Matthieu; Barré, Sébastien; Benosman, Ryad B.

2017-01-01

This paper introduces an event-based luminance-free feature from the output of asynchronous event-based neuromorphic retinas. The feature consists in mapping the distribution of the optical flow along the contours of the moving objects in the visual scene into a matrix. Asynchronous event-based neuromorphic retinas are composed of autonomous pixels, each of them asynchronously generating “spiking” events that encode relative changes in pixels' illumination at high temporal resolutions. The optical flow is computed at each event, and is integrated locally or globally in a speed and direction coordinate frame based grid, using speed-tuned temporal kernels. The latter ensures that the resulting feature equitably represents the distribution of the normal motion along the current moving edges, whatever their respective dynamics. The usefulness and the generality of the proposed feature are demonstrated in pattern recognition applications: local corner detection and global gesture recognition. PMID:28101001

Smartphone based face recognition tool for the blind.

PubMed

Kramer, K M; Hedin, D S; Rolkosky, D J

2010-01-01

The inability to identify people during group meetings is a disadvantage for blind people in many professional and educational situations. To explore the efficacy of face recognition using smartphones in these settings, we have prototyped and tested a face recognition tool for blind users. The tool utilizes Smartphone technology in conjunction with a wireless network to provide audio feedback of the people in front of the blind user. Testing indicated that the face recognition technology can tolerate up to a 40 degree angle between the direction a person is looking and the camera's axis and a 96% success rate with no false positives. Future work will be done to further develop the technology for local face recognition on the smartphone in addition to remote server based face recognition.

Early visual experience and the recognition of basic facial expressions: involvement of the middle temporal and inferior frontal gyri during haptic identification by the early blind

PubMed Central

Kitada, Ryo; Okamoto, Yuko; Sasaki, Akihiro T.; Kochiyama, Takanori; Miyahara, Motohide; Lederman, Susan J.; Sadato, Norihiro

2012-01-01

Face perception is critical for social communication. Given its fundamental importance in the course of evolution, the innate neural mechanisms can anticipate the computations necessary for representing faces. However, the effect of visual deprivation on the formation of neural mechanisms that underlie face perception is largely unknown. We previously showed that sighted individuals can recognize basic facial expressions by haptics surprisingly well. Moreover, the inferior frontal gyrus (IFG) and posterior superior temporal sulcus (pSTS) in the sighted subjects are involved in haptic and visual recognition of facial expressions. Here, we conducted both psychophysical and functional magnetic-resonance imaging (fMRI) experiments to determine the nature of the neural representation that subserves the recognition of basic facial expressions in early blind individuals. In a psychophysical experiment, both early blind and sighted subjects haptically identified basic facial expressions at levels well above chance. In the subsequent fMRI experiment, both groups haptically identified facial expressions and shoe types (control). The sighted subjects then completed the same task visually. Within brain regions activated by the visual and haptic identification of facial expressions (relative to that of shoes) in the sighted group, corresponding haptic identification in the early blind activated regions in the inferior frontal and middle temporal gyri. These results suggest that the neural system that underlies the recognition of basic facial expressions develops supramodally even in the absence of early visual experience. PMID:23372547

Retrieval Failure Contributes to Gist-Based False Recognition

PubMed Central

Guerin, Scott A.; Robbins, Clifford A.; Gilmore, Adrian W.; Schacter, Daniel L.

2011-01-01

People often falsely recognize items that are similar to previously encountered items. This robust memory error is referred to as gist-based false recognition. A widely held view is that this error occurs because the details fade rapidly from our memory. Contrary to this view, an initial experiment revealed that, following the same encoding conditions that produce high rates of gist-based false recognition, participants overwhelmingly chose the correct target rather than its related foil when given the option to do so. A second experiment showed that this result is due to increased access to stored details provided by reinstatement of the originally encoded photograph, rather than to increased attention to the details. Collectively, these results suggest that details needed for accurate recognition are, to a large extent, still stored in memory and that a critical factor determining whether false recognition will occur is whether these details can be accessed during retrieval. PMID:22125357

Family Relationships From Adolescence to Early Adulthood: Changes in the Family System Following Firstborns’ Leaving Home

PubMed Central

Whiteman, Shawn D.; McHale, Susan M.; Crouter, Ann C.

2010-01-01

This study charted the course of parent-child and sibling relationships from early adolescence to early adulthood and examined how these relationships changed following firstborns’ departure from their parents’ home for the first time. Data were drawn from a 10-year longitudinal study of family relationships. Participants included mothers, fathers, and first- and second-born children from 184, White, working and middle class families. Multilevel models revealed declines in parent-child conflict, acceptance, and sibling negativity, and increases or U-shaped patterns in sibling and parent-child intimacy over time. Birth order X leaving home interactions revealed that firstborns’ leaving home related to changes in family relationship qualities for both first- and second-borns, with relationships improving for firstborns and no changes or declines in relationship quality for second-borns. Overall, the results highlight the inter-relatedness of family subsystems. PMID:21765625

Home-based intermediate care program vs hospitalization

PubMed Central

Armstrong, Catherine Deri; Hogg, William E.; Lemelin, Jacques; Dahrouge, Simone; Martin, Carmel; Viner, Gary S.; Saginur, Raphael

2008-01-01

OBJECTIVE To explore whether a home-based intermediate care program in a large Canadian city lowers the cost of care and to look at whether such home-based programs could be a solution to the increasing demands on Canadian hospitals. DESIGN Single-arm study with historical controls. SETTING Department of Family Medicine at the Ottawa Hospital (Civic campus) in Ontario. PARTICIPANTS Patients requiring hospitalization for acute care. Participants were matched with historical controls based on case-mix, most responsible diagnosis, and level of complexity. INTERVENTIONS Placement in the home-based intermediate care program. Daily home visits from the nurse practitioner and 24-hour access to care by telephone. MAIN OUTCOME MEASURES Multivariate regression models were used to estimate the effect of the program on 5 outcomes: length of stay in hospital, cost of care substituted for hospitalization (Canadian dollars), readmission for a related diagnosis, readmission for any diagnosis, and costs incurred by community home-care services for patients following discharge from hospital. RESULTS The outcomes of 43 hospital admissions were matched with those of 363 controls. Patients enrolled in the program stayed longer in hospital (coefficient 3.3 days, P < .001), used more community care services following discharge (coefficient $729, P = .007), and were more likely to be readmitted to hospital within 3 months of discharge (coefficient 17%, P = .012) than patients treated in hospital. Total substituted costs of home-based care were not significantly different from the costs of hospitalization (coefficient -$501, P = .11). CONCLUSION While estimated cost savings were not statistically significant, the limitations of our study suggest that we underestimated these savings. In particular, the economic inefficiencies of a small immature program and the inability to control for certain factors when selecting historical controls affected our results. Further research is needed to

Misalignment between Medicare Policies and Depression Care in Home Health Care: Home health provider perspectives

PubMed Central

Bao, Yuhua; Eggman, Ashley; Richardson, Joshua; Bruce, Martha

2013-01-01

Objective Depression affects one in four older adults receiving home health care. Medicare policies are influential in shaping home health practice. This study aims to identify Medicare policy areas that are aligned or misaligned with depression care quality improvement in home health care. Methods Qualitative study based on semi-structured interviews with nurses and administrators from five home health agencies in five states (n=20). Digitally recorded interviews were transcribed and analyzed using the grounded theory method. A multi-disciplinary team iteratively developed a codebook from interview data to identify themes. Results Several important Medicare policies are largely misaligned with depression care quality improvement in home health care: Medicare eligibility requirements for patients to remain homebound and to demonstrate a need for skilled care restrict nurses’ abilities to follow up with depressed patients for sufficient length of time; the lack of explicit recognition of nursing time and quality of care in the home health Prospective Payment System (PPS) provides misaligned incentives for depression care; incorporation of a two-item depression screening tool in Medicare-mandated comprehensive patient assessment raised clinician awareness of depression; however, inclusion of the tool at Start-of-Care only but not any other follow-up points limits its potential in assisting nurses with depression care management; under-development of clinical decision support for depression care in vendor-developed electronic health records constitutes an important barrier to depression quality improvement in home health care. Conclusions Several influential Medicare policies and regulations for home health practice may be misaligned with evidence-based depression care for home health patients. PMID:24632686

Recognition Memory for Braille or Spoken Words: An fMRI study in Early Blind

PubMed Central

Burton, Harold; Sinclair, Robert J.; Agato, Alvin

2012-01-01

We examined cortical activity in early blind during word recognition memory. Nine participants were blind at birth and one by 1.5 yrs. In an event-related design, we studied blood oxygen level-dependent responses to studied (“old”) compared to novel (“new”) words. Presentation mode was in Braille or spoken. Responses were larger for identified “new” words read with Braille in bilateral lower and higher tier visual areas and primary somatosensory cortex. Responses to spoken “new” words were larger in bilateral primary and accessory auditory cortex. Auditory cortex was unresponsive to Braille words and occipital cortex responded to spoken words but not differentially with “old”/“new” recognition. Left dorsolateral prefrontal cortex had larger responses to “old” words only with Braille. Larger occipital cortex responses to “new” Braille words suggested verbal memory based on the mechanism of recollection. A previous report in sighted noted larger responses for “new” words studied in association with pictures that created a distinctiveness heuristic source factor which enhanced recollection during remembering. Prior behavioral studies in early blind noted an exceptional ability to recall words. Utilization of this skill by participants in the current study possibly engendered recollection that augmented remembering “old” words. A larger response when identifying “new” words possibly resulted from exhaustive recollecting the sensory properties of “old” words in modality appropriate sensory cortices. The uniqueness of a memory role for occipital cortex is in its cross-modal responses to coding tactile properties of Braille. The latter possibly reflects a “sensory echo” that aids recollection. PMID:22251836

Automatic Target Recognition Based on Cross-Plot

PubMed Central

Wong, Kelvin Kian Loong; Abbott, Derek

2011-01-01

Automatic target recognition that relies on rapid feature extraction of real-time target from photo-realistic imaging will enable efficient identification of target patterns. To achieve this objective, Cross-plots of binary patterns are explored as potential signatures for the observed target by high-speed capture of the crucial spatial features using minimal computational resources. Target recognition was implemented based on the proposed pattern recognition concept and tested rigorously for its precision and recall performance. We conclude that Cross-plotting is able to produce a digital fingerprint of a target that correlates efficiently and effectively to signatures of patterns having its identity in a target repository. PMID:21980508

The frequency of outdoor play for preschool age children cared for at home-based child care settings.

PubMed

Tandon, Pooja S; Zhou, Chuan; Christakis, Dimitri A

2012-01-01

Given that more than 34% of U.S. children are cared for in home-based child care settings and outdoor play is associated with physical activity and other health benefits, we sought to characterize the outdoor play frequency of preschoolers cared for at home-based child care settings and factors associated with outdoor play. Cross-sectional study of 1900 preschoolers (representing approximately 862,800 children) cared for in home-based child care settings (including relative and nonrelative care) using the nationally representative Early Childhood Longitudinal Study, Birth Cohort. Only 50% of home-based child care providers reported taking the child outside to walk or play at least once/day. More than one-third of all children did not go outside to play daily with either their parent(s) or home-based child care provider. There were increased odds of going outside daily for children cared for by nonrelatives in the child's home compared with care from a relative. Children with ≥3 regular playmates had greater odds of being taken outdoors by either the parents or child care provider. We did not find statistically significant associations between other child level (age, sex, screen-time), family level (highest education in household, mother's race, employment, exercise frequency), and child care level (hours in care, provider's educational attainment, perception of neighborhood safety) factors and frequency of outdoor play. At a national level, the frequency of outdoor play for preschoolers cared for in home-based child care settings is suboptimal. Further study and efforts to increase outdoor playtime for children in home-based child care settings are needed. Copyright © 2012 Academic Pediatric Association. Published by Elsevier Inc. All rights reserved.

Predicting nursing home placement among home- and community-based services program participants.

PubMed

Greiner, Melissa A; Qualls, Laura G; Iwata, Isao; White, Heidi K; Molony, Sheila L; Sullivan, M Terry; Burke, Bonnie; Schulman, Kevin A; Setoguchi, Soko

2014-12-01

Several states offer publicly funded-care management programs to prevent long-term care placement of high-risk Medicaid beneficiaries. Understanding participant risk factors and services that may prevent long-term care placement can facilitate efficient allocation of program resources. To develop a practical prediction model to identify participants in a home- and community-based services program who are at highest risk for long-term nursing home placement, and to examine participant-level and program-level predictors of nursing home placement. In a retrospective observational study, we used deidentified data for participants in the Connecticut Home Care Program for Elders who completed an annual assessment survey between 2005 and 2010. We analyzed data on patient characteristics, use of program services, and short-term facility admissions in the previous year. We used logistic regression models with random effects to predict nursing home placement. The main outcome measures were long-term nursing home placement within 180 days or 1 year of assessment. Among 10,975 study participants, 1249 (11.4%) had nursing home placement within 1 year of annual assessment. Risk factors included Alzheimer's disease (odds ratio [OR], 1.30; 95% CI, 1.18-1.43), money management dependency (OR, 1.33; 95% CI, 1.18-1.51), living alone (OR, 1.53; 95% CI, 1.31-1.80), and number of prior short-term skilled nursing facility stays (OR, 1.46; 95% CI, 1.31-1.62). Use of a personal care assistance service was associated with 46% lower odds of nursing home placement. The model C statistic was 0.76 in the validation cohort. A model using information from a home- and community-based service program had strong discrimination to predict risk of long-term nursing home placement and can be used to identify high-risk participants for targeted interventions.

Multifeature-based high-resolution palmprint recognition.

PubMed

Dai, Jifeng; Zhou, Jie

2011-05-01

Palmprint is a promising biometric feature for use in access control and forensic applications. Previous research on palmprint recognition mainly concentrates on low-resolution (about 100 ppi) palmprints. But for high-security applications (e.g., forensic usage), high-resolution palmprints (500 ppi or higher) are required from which more useful information can be extracted. In this paper, we propose a novel recognition algorithm for high-resolution palmprint. The main contributions of the proposed algorithm include the following: 1) use of multiple features, namely, minutiae, density, orientation, and principal lines, for palmprint recognition to significantly improve the matching performance of the conventional algorithm. 2) Design of a quality-based and adaptive orientation field estimation algorithm which performs better than the existing algorithm in case of regions with a large number of creases. 3) Use of a novel fusion scheme for an identification application which performs better than conventional fusion methods, e.g., weighted sum rule, SVMs, or Neyman-Pearson rule. Besides, we analyze the discriminative power of different feature combinations and find that density is very useful for palmprint recognition. Experimental results on the database containing 14,576 full palmprints show that the proposed algorithm has achieved a good performance. In the case of verification, the recognition system's False Rejection Rate (FRR) is 16 percent, which is 17 percent lower than the best existing algorithm at a False Acceptance Rate (FAR) of 10(-5), while in the identification experiment, the rank-1 live-scan partial palmprint recognition rate is improved from 82.0 to 91.7 percent.

Sub-pattern based multi-manifold discriminant analysis for face recognition

NASA Astrophysics Data System (ADS)

Dai, Jiangyan; Guo, Changlu; Zhou, Wei; Shi, Yanjiao; Cong, Lin; Yi, Yugen

2018-04-01

In this paper, we present a Sub-pattern based Multi-manifold Discriminant Analysis (SpMMDA) algorithm for face recognition. Unlike existing Multi-manifold Discriminant Analysis (MMDA) approach which is based on holistic information of face image for recognition, SpMMDA operates on sub-images partitioned from the original face image and then extracts the discriminative local feature from the sub-images separately. Moreover, the structure information of different sub-images from the same face image is considered in the proposed method with the aim of further improve the recognition performance. Extensive experiments on three standard face databases (Extended YaleB, CMU PIE and AR) demonstrate that the proposed method is effective and outperforms some other sub-pattern based face recognition methods.

Facial expression recognition based on improved deep belief networks

NASA Astrophysics Data System (ADS)

Wu, Yao; Qiu, Weigen

2017-08-01

In order to improve the robustness of facial expression recognition, a method of face expression recognition based on Local Binary Pattern (LBP) combined with improved deep belief networks (DBNs) is proposed. This method uses LBP to extract the feature, and then uses the improved deep belief networks as the detector and classifier to extract the LBP feature. The combination of LBP and improved deep belief networks is realized in facial expression recognition. In the JAFFE (Japanese Female Facial Expression) database on the recognition rate has improved significantly.

Appearance-based human gesture recognition using multimodal features for human computer interaction

NASA Astrophysics Data System (ADS)

Luo, Dan; Gao, Hua; Ekenel, Hazim Kemal; Ohya, Jun

2011-03-01

The use of gesture as a natural interface plays an utmost important role for achieving intelligent Human Computer Interaction (HCI). Human gestures include different components of visual actions such as motion of hands, facial expression, and torso, to convey meaning. So far, in the field of gesture recognition, most previous works have focused on the manual component of gestures. In this paper, we present an appearance-based multimodal gesture recognition framework, which combines the different groups of features such as facial expression features and hand motion features which are extracted from image frames captured by a single web camera. We refer 12 classes of human gestures with facial expression including neutral, negative and positive meanings from American Sign Languages (ASL). We combine the features in two levels by employing two fusion strategies. At the feature level, an early feature combination can be performed by concatenating and weighting different feature groups, and LDA is used to choose the most discriminative elements by projecting the feature on a discriminative expression space. The second strategy is applied on decision level. Weighted decisions from single modalities are fused in a later stage. A condensation-based algorithm is adopted for classification. We collected a data set with three to seven recording sessions and conducted experiments with the combination techniques. Experimental results showed that facial analysis improve hand gesture recognition, decision level fusion performs better than feature level fusion.

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

Support vector machine-based facial-expression recognition method combining shape and appearance

NASA Astrophysics Data System (ADS)

Han, Eun Jung; Kang, Byung Jun; Park, Kang Ryoung; Lee, Sangyoun

2010-11-01

Facial expression recognition can be widely used for various applications, such as emotion-based human-machine interaction, intelligent robot interfaces, face recognition robust to expression variation, etc. Previous studies have been classified as either shape- or appearance-based recognition. The shape-based method has the disadvantage that the individual variance of facial feature points exists irrespective of similar expressions, which can cause a reduction of the recognition accuracy. The appearance-based method has a limitation in that the textural information of the face is very sensitive to variations in illumination. To overcome these problems, a new facial-expression recognition method is proposed, which combines both shape and appearance information, based on the support vector machine (SVM). This research is novel in the following three ways as compared to previous works. First, the facial feature points are automatically detected by using an active appearance model. From these, the shape-based recognition is performed by using the ratios between the facial feature points based on the facial-action coding system. Second, the SVM, which is trained to recognize the same and different expression classes, is proposed to combine two matching scores obtained from the shape- and appearance-based recognitions. Finally, a single SVM is trained to discriminate four different expressions, such as neutral, a smile, anger, and a scream. By determining the expression of the input facial image whose SVM output is at a minimum, the accuracy of the expression recognition is much enhanced. The experimental results showed that the recognition accuracy of the proposed method was better than previous researches and other fusion methods.

Iris recognition based on robust principal component analysis

NASA Astrophysics Data System (ADS)

Karn, Pradeep; He, Xiao Hai; Yang, Shuai; Wu, Xiao Hong

2014-11-01

Iris images acquired under different conditions often suffer from blur, occlusion due to eyelids and eyelashes, specular reflection, and other artifacts. Existing iris recognition systems do not perform well on these types of images. To overcome these problems, we propose an iris recognition method based on robust principal component analysis. The proposed method decomposes all training images into a low-rank matrix and a sparse error matrix, where the low-rank matrix is used for feature extraction. The sparsity concentration index approach is then applied to validate the recognition result. Experimental results using CASIA V4 and IIT Delhi V1iris image databases showed that the proposed method achieved competitive performances in both recognition accuracy and computational efficiency.

42 CFR 440.180 - Home or community-based services.

Code of Federal Regulations, 2011 CFR

2011-10-01

... 42 Public Health 4 2011-10-01 2011-10-01 false Home or community-based services. 440.180 Section... SERVICES (CONTINUED) MEDICAL ASSISTANCE PROGRAMS SERVICES: GENERAL PROVISIONS Definitions § 440.180 Home or community-based services. (a) Description and requirements for services. “Home or community-based services...

42 CFR 440.180 - Home or community-based services.

Code of Federal Regulations, 2013 CFR

2013-10-01

... 42 Public Health 4 2013-10-01 2013-10-01 false Home or community-based services. 440.180 Section... SERVICES (CONTINUED) MEDICAL ASSISTANCE PROGRAMS SERVICES: GENERAL PROVISIONS Definitions § 440.180 Home or community-based services. (a) Description and requirements for services. “Home or community-based services...

42 CFR 440.180 - Home or community-based services.

Code of Federal Regulations, 2012 CFR

2012-10-01

... 42 Public Health 4 2012-10-01 2012-10-01 false Home or community-based services. 440.180 Section... SERVICES (CONTINUED) MEDICAL ASSISTANCE PROGRAMS SERVICES: GENERAL PROVISIONS Definitions § 440.180 Home or community-based services. (a) Description and requirements for services. “Home or community-based services...

Early and late signs that precede dying among older persons in nursing homes: the multidisciplinary team's perspective.

PubMed

Åvik Persson, Helene; Sandgren, Anna; Fürst, Carl-Johan; Ahlström, Gerd; Behm, Lina

2018-06-04

Nursing home residents in Sweden are old, frail and usually have multiple morbidities which often make dying a prolonged suffering. It has been found that older persons at nursing homes receive far less palliative care than younger persons, partly because it is difficult to identify when the final stage of life begins. The identification may help the staff to enable the older person and their families to participate in planning the care in accordance with their own preferences and values. With this in mind the aim was to explore the experiences of early and late signs preceding dying in older persons in nursing homes from the multidisciplinary team's perspective. The focus group method was used to interview 20 health-care professionals on the basis of semi-structured questions. Four focus groups were conducted at four nursing homes in two counties in southern Sweden. The groups included different professionals such as assistant nurses, registered nurses, occupational therapists, physiotherapists, social workers and unit managers. The analysis was conducted according to the focus group method developed by Kruger and Casey. The analysis revealed one major theme, from unawareness to obviousness, which illustrates that the participants experienced dying as a happening, not a process, and found it difficult to identify early signs. Even though it was a new way of thinking, several suggestions of early signs were presented. The main category "Going into a bubble" illustrates early signs, which meant that the older person showed signs of wanting to withdraw from the outside world. The main category "The body begins to shut down" illustrates late signs, which meant that the older person showed signs that indicate that the body starts to prepare for death. This study conveys new knowledge concerning the multidisciplinary team's collective experience of early and late signs that precede dying. This knowledge can increase the understanding of when a palliative care approach

Smartphone-based analysis of biochemical tests for health monitoring support at home.

PubMed

Velikova, Marina; Smeets, Ruben L; van Scheltinga, Josien Terwisscha; Lucas, Peter J F; Spaanderman, Marc

2014-09-01

In the context of home-based healthcare monitoring systems, it is desirable that the results obtained from biochemical tests - tests of various body fluids such as blood and urine - are objective and automatically generated to reduce the number of man-made errors. The authors present the StripTest reader - an innovative smartphone-based interpreter of biochemical tests based on paper-based strip colour using image processing techniques. The working principles of the reader include image acquisition of the colour strip pads using the camera phone, analysing the images within the phone and comparing them with reference colours provided by the manufacturer to obtain the test result. The detection of kidney damage was used as a scenario to illustrate the application of, and test, the StripTest reader. An extensive evaluation using laboratory and human urine samples demonstrates the reader's accuracy and precision of detection, indicating the successful development of a cheap, mobile and smart reader for home-monitoring of kidney functioning, which can facilitate the early detection of health problems and a timely treatment intervention.

Cross-domain expression recognition based on sparse coding and transfer learning

NASA Astrophysics Data System (ADS)

Yang, Yong; Zhang, Weiyi; Huang, Yong

2017-05-01

Traditional facial expression recognition methods usually assume that the training set and the test set are independent and identically distributed. However, in actual expression recognition applications, the conditions of independent and identical distribution are hardly satisfied for the training set and test set because of the difference of light, shade, race and so on. In order to solve this problem and improve the performance of expression recognition in the actual applications, a novel method based on transfer learning and sparse coding is applied to facial expression recognition. First of all, a common primitive model, that is, the dictionary is learnt. Then, based on the idea of transfer learning, the learned primitive pattern is transferred to facial expression and the corresponding feature representation is obtained by sparse coding. The experimental results in CK +, JAFFE and NVIE database shows that the transfer learning based on sparse coding method can effectively improve the expression recognition rate in the cross-domain expression recognition task and is suitable for the practical facial expression recognition applications.

Exogenous temporal cues enhance recognition memory in an object-based manner.

PubMed

Ohyama, Junji; Watanabe, Katsumi

2010-11-01

Exogenous attention enhances the perception of attended items in both a space-based and an object-based manner. Exogenous attention also improves recognition memory for attended items in the space-based mode. However, it has not been examined whether object-based exogenous attention enhances recognition memory. To address this issue, we examined whether a sudden visual change in a task-irrelevant stimulus (an exogenous cue) would affect participants' recognition memory for items that were serially presented around a cued time. The results showed that recognition accuracy for an item was strongly enhanced when the visual cue occurred at the same location and time as the item (Experiments 1 and 2). The memory enhancement effect occurred when the exogenous visual cue and an item belonged to the same object (Experiments 3 and 4) and even when the cue was counterpredictive of the timing of an item to be asked about (Experiment 5). The present study suggests that an exogenous temporal cue automatically enhances the recognition accuracy for an item that is presented at close temporal proximity to the cue and that recognition memory enhancement occurs in an object-based manner.

Serious Games for Home-based Stroke Rehabilitation.

PubMed

Friedrich, Raoul; Hiesel, Patrick; Peters, Sebastian; Siewiorek, Daniel P; Smailagic, Asim; Brügge, Bernd

2015-01-01

On average, two thousand residents in the United States experience a stroke every day. These circumstances account for $28 billion direct costs annually and given the latest predictions, these costs will more than triple by 2030. In our research, we propose a portfolio of serious games for home-based stroke rehabilitation. The objective of the game approach is to enrich the training experience and establish a higher level of compliance to prescribed exercises, while maintaining a supportive training environment as found in common therapy sessions. Our system provides a collection of mini games based on rehabilitation exercises used in conventional physical therapy, monitors the patient's performance while exercising and provides clinicians with an interface to personalize the training. The clinician can set the current state of rehabilitation and change the playable games over time to drive diversification. While the system still has to be evaluated, an early stage case study with one patient offered positive indications towards this concept.

Applying Evidence-Based Medicine in Telehealth: An Interactive Pattern Recognition Approximation

PubMed Central

Fernández-Llatas, Carlos; Meneu, Teresa; Traver, Vicente; Benedi, José-Miguel

2013-01-01

Born in the early nineteen nineties, evidence-based medicine (EBM) is a paradigm intended to promote the integration of biomedical evidence into the physicians daily practice. This paradigm requires the continuous study of diseases to provide the best scientific knowledge for supporting physicians in their diagnosis and treatments in a close way. Within this paradigm, usually, health experts create and publish clinical guidelines, which provide holistic guidance for the care for a certain disease. The creation of these clinical guidelines requires hard iterative processes in which each iteration supposes scientific progress in the knowledge of the disease. To perform this guidance through telehealth, the use of formal clinical guidelines will allow the building of care processes that can be interpreted and executed directly by computers. In addition, the formalization of clinical guidelines allows for the possibility to build automatic methods, using pattern recognition techniques, to estimate the proper models, as well as the mathematical models for optimizing the iterative cycle for the continuous improvement of the guidelines. However, to ensure the efficiency of the system, it is necessary to build a probabilistic model of the problem. In this paper, an interactive pattern recognition approach to support professionals in evidence-based medicine is formalized. PMID:24185841

Home and Preschool Learning Environments and Their Relations to the Development of Early Numeracy Skills

ERIC Educational Resources Information Center

Anders, Yvonne; Rossbach, Hans-Gunther; Weinert, Sabine; Ebert, Susanne; Kuger, Susanne; Lehrl, Simone; von Maurice, Jutta

2012-01-01

This study examined the influence of the quality of home and preschool learning environments on the development of early numeracy skills in Germany, drawing on a sample of 532 children in 97 preschools. Latent growth curve models were used to investigate early numeracy skills and their development from the first (average age: 3 years) to the third…

Design and Implementation of a Smart Home System Using Multisensor Data Fusion Technology.

PubMed

Hsu, Yu-Liang; Chou, Po-Huan; Chang, Hsing-Cheng; Lin, Shyan-Lung; Yang, Shih-Chin; Su, Heng-Yi; Chang, Chih-Chien; Cheng, Yuan-Sheng; Kuo, Yu-Chen

2017-07-15

This paper aims to develop a multisensor data fusion technology-based smart home system by integrating wearable intelligent technology, artificial intelligence, and sensor fusion technology. We have developed the following three systems to create an intelligent smart home environment: (1) a wearable motion sensing device to be placed on residents' wrists and its corresponding 3D gesture recognition algorithm to implement a convenient automated household appliance control system; (2) a wearable motion sensing device mounted on a resident's feet and its indoor positioning algorithm to realize an effective indoor pedestrian navigation system for smart energy management; (3) a multisensor circuit module and an intelligent fire detection and alarm algorithm to realize a home safety and fire detection system. In addition, an intelligent monitoring interface is developed to provide in real-time information about the smart home system, such as environmental temperatures, CO concentrations, communicative environmental alarms, household appliance status, human motion signals, and the results of gesture recognition and indoor positioning. Furthermore, an experimental testbed for validating the effectiveness and feasibility of the smart home system was built and verified experimentally. The results showed that the 3D gesture recognition algorithm could achieve recognition rates for automated household appliance control of 92.0%, 94.8%, 95.3%, and 87.7% by the 2-fold cross-validation, 5-fold cross-validation, 10-fold cross-validation, and leave-one-subject-out cross-validation strategies. For indoor positioning and smart energy management, the distance accuracy and positioning accuracy were around 0.22% and 3.36% of the total traveled distance in the indoor environment. For home safety and fire detection, the classification rate achieved 98.81% accuracy for determining the conditions of the indoor living environment.

Design and Implementation of a Smart Home System Using Multisensor Data Fusion Technology

PubMed Central

Chou, Po-Huan; Chang, Hsing-Cheng; Lin, Shyan-Lung; Yang, Shih-Chin; Su, Heng-Yi; Chang, Chih-Chien; Cheng, Yuan-Sheng; Kuo, Yu-Chen

2017-01-01

This paper aims to develop a multisensor data fusion technology-based smart home system by integrating wearable intelligent technology, artificial intelligence, and sensor fusion technology. We have developed the following three systems to create an intelligent smart home environment: (1) a wearable motion sensing device to be placed on residents’ wrists and its corresponding 3D gesture recognition algorithm to implement a convenient automated household appliance control system; (2) a wearable motion sensing device mounted on a resident’s feet and its indoor positioning algorithm to realize an effective indoor pedestrian navigation system for smart energy management; (3) a multisensor circuit module and an intelligent fire detection and alarm algorithm to realize a home safety and fire detection system. In addition, an intelligent monitoring interface is developed to provide in real-time information about the smart home system, such as environmental temperatures, CO concentrations, communicative environmental alarms, household appliance status, human motion signals, and the results of gesture recognition and indoor positioning. Furthermore, an experimental testbed for validating the effectiveness and feasibility of the smart home system was built and verified experimentally. The results showed that the 3D gesture recognition algorithm could achieve recognition rates for automated household appliance control of 92.0%, 94.8%, 95.3%, and 87.7% by the 2-fold cross-validation, 5-fold cross-validation, 10-fold cross-validation, and leave-one-subject-out cross-validation strategies. For indoor positioning and smart energy management, the distance accuracy and positioning accuracy were around 0.22% and 3.36% of the total traveled distance in the indoor environment. For home safety and fire detection, the classification rate achieved 98.81% accuracy for determining the conditions of the indoor living environment. PMID:28714884

Post interaural neural net-based vowel recognition

NASA Astrophysics Data System (ADS)

Jouny, Ismail I.

2001-10-01

Interaural head related transfer functions are used to process speech signatures prior to neural net based recognition. Data representing the head related transfer function of a dummy has been collected at MIT and made available on the Internet. This data is used to pre-process vowel signatures to mimic the effects of human ear on speech perception. Signatures representing various vowels of the English language are then presented to a multi-layer perceptron trained using the back propagation algorithm for recognition purposes. The focus in this paper is to assess the effects of human interaural system on vowel recognition performance particularly when using a classification system that mimics the human brain such as a neural net.

Evaluation of a Home Biomonitoring Autonomous Mobile Robot.

PubMed

Dorronzoro Zubiete, Enrique; Nakahata, Keigo; Imamoglu, Nevrez; Sekine, Masashi; Sun, Guanghao; Gomez, Isabel; Yu, Wenwei

2016-01-01

Increasing population age demands more services in healthcare domain. It has been shown that mobile robots could be a potential solution to home biomonitoring for the elderly. Through our previous studies, a mobile robot system that is able to track a subject and identify his daily living activities has been developed. However, the system has not been tested in any home living scenarios. In this study we did a series of experiments to investigate the accuracy of activity recognition of the mobile robot in a home living scenario. The daily activities tested in the evaluation experiment include watching TV and sleeping. A dataset recorded by a distributed distance-measuring sensor network was used as a reference to the activity recognition results. It was shown that the accuracy is not consistent for all the activities; that is, mobile robot could achieve a high success rate in some activities but a poor success rate in others. It was found that the observation position of the mobile robot and subject surroundings have high impact on the accuracy of the activity recognition, due to the variability of the home living daily activities and their transitional process. The possibility of improvement of recognition accuracy has been shown too.

Evaluating the benefits of home-based peritoneal dialysis

PubMed Central

François, Karlien; Bargman, Joanne M

2014-01-01

Peritoneal dialysis (PD) is an effective renal replacement strategy for patients suffering from end-stage renal disease. PD offers patient survival comparable to or better than in-center hemodialysis while preserving residual kidney function, empowering patient autonomy, and reducing financial burden to payors. The majority of patients suffering from kidney failure are eligible for PD. In patients with cardiorenal syndrome and uncontrolled fluid status, PD is of particular benefit, decreasing hospitalization rates and duration. This review discusses the benefits of chronic PD, performed by the patient or a caregiver at home. Recognition of the benefits of PD is a cornerstone in stimulating the use of this treatment strategy. PMID:25506238

Activity Recognition on Streaming Sensor Data.

PubMed

Krishnan, Narayanan C; Cook, Diane J

2014-02-01

Many real-world applications that focus on addressing needs of a human, require information about the activities being performed by the human in real-time. While advances in pervasive computing have lead to the development of wireless and non-intrusive sensors that can capture the necessary activity information, current activity recognition approaches have so far experimented on either a scripted or pre-segmented sequence of sensor events related to activities. In this paper we propose and evaluate a sliding window based approach to perform activity recognition in an on line or streaming fashion; recognizing activities as and when new sensor events are recorded. To account for the fact that different activities can be best characterized by different window lengths of sensor events, we incorporate the time decay and mutual information based weighting of sensor events within a window. Additional contextual information in the form of the previous activity and the activity of the previous window is also appended to the feature describing a sensor window. The experiments conducted to evaluate these techniques on real-world smart home datasets suggests that combining mutual information based weighting of sensor events and adding past contextual information into the feature leads to best performance for streaming activity recognition.

Embedded wavelet-based face recognition under variable position

NASA Astrophysics Data System (ADS)

Cotret, Pascal; Chevobbe, Stéphane; Darouich, Mehdi

2015-02-01

For several years, face recognition has been a hot topic in the image processing field: this technique is applied in several domains such as CCTV, electronic devices delocking and so on. In this context, this work studies the efficiency of a wavelet-based face recognition method in terms of subject position robustness and performance on various systems. The use of wavelet transform has a limited impact on the position robustness of PCA-based face recognition. This work shows, for a well-known database (Yale face database B*), that subject position in a 3D space can vary up to 10% of the original ROI size without decreasing recognition rates. Face recognition is performed on approximation coefficients of the image wavelet transform: results are still satisfying after 3 levels of decomposition. Furthermore, face database size can be divided by a factor 64 (22K with K = 3). In the context of ultra-embedded vision systems, memory footprint is one of the key points to be addressed; that is the reason why compression techniques such as wavelet transform are interesting. Furthermore, it leads to a low-complexity face detection stage compliant with limited computation resources available on such systems. The approach described in this work is tested on three platforms from a standard x86-based computer towards nanocomputers such as RaspberryPi and SECO boards. For K = 3 and a database with 40 faces, the execution mean time for one frame is 0.64 ms on a x86-based computer, 9 ms on a SECO board and 26 ms on a RaspberryPi (B model).

A Review of the Research on Childminding: Understanding Children's Experiences in Home-Based Childcare Settings

ERIC Educational Resources Information Center

Ang, Lynn; Brooker, Elizabeth; Stephen, Christine

2017-01-01

This paper offers a discussion of the literature of an under-developed area of early years research--the exploration of childminding or home-based childcare and the contribution which this form of provision makes for children and families. Despite growing interest in childminding at the policy level and some international research on understanding…

Engaging Urban Parents of Early Adolescents in Parenting Interventions: Home Visits vs. Group Sessions.

PubMed

Finigan-Carr, Nadine M; Copeland-Linder, Nikeea; Haynie, Denise L; Cheng, Tina L

2014-01-01

Interventions targeting parents of young children have shown effectiveness, but research is lacking about best practices for engaging parents of early adolescents. Low levels of enrollment and attendance in parenting interventions present major problems for researchers and clinicians. Effective and efficient ways to engage and collaborate with parents to strengthen parenting practices and to promote healthy development of early adolescents are needed. This exploratory mixed methods study examined the feasibility of three methods of engaging parents in positive parenting activities. Participants were parents of youth ages 11-13 enrolled in three urban, public middle schools in neighborhoods characterized by high rates of community violence. Families ( N = 144) were randomized into one of three interventions: six home sessions, two home sessions followed by four group sessions, or six group sessions. The majority of parents were single, non-Hispanic, African American mothers. Urban parents of middle school students were more likely to participate in home visits than in group sessions; offering a combination did not increase participation in the group sessions. As only 34% of those who consented participated in the intervention, qualitative data were examined to explain the reasons for non-participation.

Engaging Urban Parents of Early Adolescents in Parenting Interventions: Home Visits vs. Group Sessions

PubMed Central

Finigan-Carr, Nadine M.; Copeland-Linder, Nikeea; Haynie, Denise L.; Cheng, Tina L.

2016-01-01

Interventions targeting parents of young children have shown effectiveness, but research is lacking about best practices for engaging parents of early adolescents. Low levels of enrollment and attendance in parenting interventions present major problems for researchers and clinicians. Effective and efficient ways to engage and collaborate with parents to strengthen parenting practices and to promote healthy development of early adolescents are needed. This exploratory mixed methods study examined the feasibility of three methods of engaging parents in positive parenting activities. Participants were parents of youth ages 11–13 enrolled in three urban, public middle schools in neighborhoods characterized by high rates of community violence. Families (N = 144) were randomized into one of three interventions: six home sessions, two home sessions followed by four group sessions, or six group sessions. The majority of parents were single, non-Hispanic, African American mothers. Urban parents of middle school students were more likely to participate in home visits than in group sessions; offering a combination did not increase participation in the group sessions. As only 34% of those who consented participated in the intervention, qualitative data were examined to explain the reasons for non-participation. PMID:27122960

Early discharge with home support of gavage feeding for stable preterm infants who have not established full oral feeds.

PubMed

Collins, Carmel T; Makrides, Maria; McPhee, Andrew J

2015-07-08

Early discharge of stable preterm infants still requiring gavage feeds offers the benefits of uniting families sooner and reducing healthcare and family costs compared with discharge home when on full sucking feeds. Potential disadvantages of early discharge include increased care burden for the family and risk of complications related to gavage feeding. To determine the effects of a policy of early discharge of stable preterm infants with home support of gavage feeding compared with a policy of discharge of such infants when they have reached full sucking feeds.We planned subgroup analyses to determine whether safety and efficacy outcomes are altered by the type of support received (outpatient visits vs home support) or by the maturity of the infants discharged (gestational age ≤ 28 weeks at birth or birth weight ≤ 1000 grams). We used the standard search strategy of the Cochrane Neonatal Review Group, together with searches of the Cochrane Central Register of Controlled Trials (CENTRAL; 2015, Issue 3), the Cumulative Index to Nursing and Allied Health Literature (CINAHL) (1982 to March 2015), EMBASE (1980 to March 2015) and MEDLINE (1950 to March 2015). We found no new trials. We included all randomised and quasi-randomised trials among infants born at < 37 weeks and requiring no intravenous nutrition at the point of discharge. Trials were required to compare early discharge home with gavage feeds and healthcare support versus later discharge home when full sucking feeds were attained. Two review authors independently assessed trial quality and extracted data. We conducted study authors for additional information. We performed data analysis in accordance with the standards of the Cochrane Neonatal Review Group. We included in the review data from one quasi-randomised trial with 88 infants from 75 families. Infants in the early discharge programme with home gavage feeding had a mean hospital stay that was 9.3 days shorter (mean difference (MD) -9.3, 95

Family Relationships from Adolescence to Early Adulthood: Changes in the Family System following Firstborns' Leaving Home

ERIC Educational Resources Information Center

Whiteman, Shawn D.; McHale, Susan M.; Crouter, Ann C.

2011-01-01

This study charted the course of parent-child and sibling relationships from early adolescence to early adulthood and examined how these relationships changed following firstborns' departure from their parents' home for the first time. Data were drawn from a 10-year longitudinal study of family relationships. Participants included mothers,…

Race/Ethnicity and Early Mathematics Skills: Relations between Home, Classroom, and Mathematics Achievement

ERIC Educational Resources Information Center

Sonnenschein, Susan; Galindo, Claudia

2015-01-01

This study used Early Childhood Longitudinal Study-Kindergarten Cohort data to examine influences of the home and classroom learning environments on kindergarten mathematics achievement of Black, Latino, and White children. Regardless of race/ethnicity, children who started kindergarten proficient in mathematics earned spring scores about 7-8…

Infrared vehicle recognition using unsupervised feature learning based on K-feature

NASA Astrophysics Data System (ADS)

Lin, Jin; Tan, Yihua; Xia, Haijiao; Tian, Jinwen

2018-02-01

Subject to the complex battlefield environment, it is difficult to establish a complete knowledge base in practical application of vehicle recognition algorithms. The infrared vehicle recognition is always difficult and challenging, which plays an important role in remote sensing. In this paper we propose a new unsupervised feature learning method based on K-feature to recognize vehicle in infrared images. First, we use the target detection algorithm which is based on the saliency to detect the initial image. Then, the unsupervised feature learning based on K-feature, which is generated by Kmeans clustering algorithm that extracted features by learning a visual dictionary from a large number of samples without label, is calculated to suppress the false alarm and improve the accuracy. Finally, the vehicle target recognition image is finished by some post-processing. Large numbers of experiments demonstrate that the proposed method has satisfy recognition effectiveness and robustness for vehicle recognition in infrared images under complex backgrounds, and it also improve the reliability of it.

Language Delays and Child Depressive Symptoms: the Role of Early Stimulation in the Home.

PubMed

Herman, Keith C; Cohen, Daniel; Owens, Sarah; Latimore, Tracey; Reinke, Wendy M; Burrell, Lori; McFarlane, Elizabeth; Duggan, Anne

2016-07-01

The present study investigated the role of early stimulation in the home and child language delays in the emergence of depressive symptoms. Data were from a longitudinal study of at-risk children in Hawaii (n = 587). Low learning stimulation in the home at age 3 and language delays in first grade both significantly increased risk for child depressive symptoms in third grade. Structural equation modeling supported the hypothesized path models from home learning environment at age 3 to depressive symptoms in third grade controlling for a host of correlated constructs (maternal depression, child temperament, and child internalizing symptoms). Total language skills in the first grade mediated the effect of home learning environment on depressive symptoms. The study and findings fit well with a nurturing environment perspective. Implications for understanding the etiology of child depression and for designing interventions and prevention strategies are discussed.

Comparison of home and away-from-home physical activity using accelerometers and cellular network-based tracking devices.

PubMed

Ramulu, Pradeep Y; Chan, Emilie S; Loyd, Tara L; Ferrucci, Luigi; Friedman, David S

2012-08-01

Measuring physical at home and away from home is essential for assessing health and well-being, and could help design interventions to increase physical activity. Here, we describe how physical activity at home and away from home can be quantified by combining information from cellular network-based tracking devices and accelerometers. Thirty-five working adults wore a cellular network-based tracking device and an accelerometer for 6 consecutive days and logged their travel away from home. Performance of the tracking device was determined using the travel log for reference. Tracking device and accelerometer data were merged to compare physical activity at home and away from home. The tracking device detected 98.6% of all away-from-home excursions, accurately measured time away from home and demonstrated few prolonged signal drop-out periods. Most physical activity took place away from home on weekdays, but not on weekends. Subjects were more physically active per unit of time while away from home, particularly on weekends. Cellular network-based tracking devices represent an alternative to global positioning systems for tracking location, and provide information easily integrated with accelerometers to determine where physical activity takes place. Promoting greater time spent away from home may increase physical activity.

Is nevtral NEUTRAL? Visual similarity effects in the early phases of written-word recognition.

PubMed

Marcet, Ana; Perea, Manuel

2017-08-01

For simplicity, contemporary models of written-word recognition and reading have unspecified feature/letter levels-they predict that the visually similar substituted-letter nonword PEQPLE is as effective at activating the word PEOPLE as the visually dissimilar substituted-letter nonword PEYPLE. Previous empirical evidence on the effects of visual similarly across letters during written-word recognition is scarce and nonconclusive. To examine whether visual similarity across letters plays a role early in word processing, we conducted two masked priming lexical decision experiments (stimulus-onset asynchrony = 50 ms). The substituted-letter primes were visually very similar to the target letters (u/v in Experiment 1 and i/j in Experiment 2; e.g., nevtral-NEUTRAL). For comparison purposes, we included an identity prime condition (neutral-NEUTRAL) and a dissimilar-letter prime condition (neztral-NEUTRAL). Results showed that the similar-letter prime condition produced faster word identification times than the dissimilar-letter prime condition. We discuss how models of written-word recognition should be amended to capture visual similarity effects across letters.

How does Interhemispheric Communication in Visual Word Recognition Work? Deciding between Early and Late Integration Accounts of the Split Fovea Theory

ERIC Educational Resources Information Center

Van der Haegen, Lise; Brysbaert, Marc; Davis, Colin J.

2009-01-01

It has recently been shown that interhemispheric communication is needed for the processing of foveally presented words. In this study, we examine whether the integration of information happens at an early stage, before word recognition proper starts, or whether the integration is part of the recognition process itself. Two lexical decision…

Laying a Firm Foundation: Embedding Evidence-Based Emergent Literacy Practices Into Early Intervention and Preschool Environments.

PubMed

Terrell, Pamela; Watson, Maggie

2018-04-05

As part of this clinical forum on curriculum-based intervention, the goal of this tutorial is to share research about the importance of language and literacy foundations in natural environments during emergent literacy skill development, from infancy through preschool. Following an overview of intervention models in schools by Powell (2018), best practices at home, in child care, and in preschool settings are discussed. Speech-language pathologists in these settings will be provided a toolbox of best emergent literacy practices. A review of published literature in speech-language pathology, early intervention, early childhood education, and literacy was completed. Subsequently, an overview of the impact of early home and preschool literacy experiences are described. Research-based implementation of best practice is supported with examples of shared book reading and child-led literacy embedded in play within the coaching model of early intervention. Finally, various aspects of emergent literacy skill development in the preschool years are discussed. These include phonemic awareness, print/alphabet awareness, oral language skills, and embedded/explicit literacy. Research indicates that rich home literacy environments and exposure to rich oral language provide an important foundation for the more structured literacy environments of school. Furthermore, there is a wealth of evidence to support a variety of direct and indirect intervention practices in the home, child care, and preschool contexts to support and enhance all aspects of oral and written literacy. Application of this "toolbox" of strategies should enable speech-language pathologists to address the prevention and intervention of literacy deficits within multiple environments during book and play activities. Additionally, clinicians will have techniques to share with parents, child care providers, and preschool teachers for evidence-based literacy instruction within all settings during typical daily

EXAMINING LONG-TERM EFFECTS OF AN INFANT MENTAL HEALTH HOME-BASED EARLY HEAD START PROGRAM ON FAMILY STRENGTHS AND RESILIENCE.

PubMed

Mckelvey, Lorraine; Schiffman, Rachel F; Brophy-Herb, Holly E; Bocknek, Erika London; Fitzgerald, Hiram E; Reischl, Thomas M; Hawver, Shelley; Cunningham Deluca, Mary

2015-01-01

Infant Mental Health based interventions aim to promote the healthy development of infants and toddlers through promoting healthy family functioning to foster supportive relationships between the young child and his or her important caregivers. This study examined impacts of an Infant Mental Health home-based Early Head Start (IMH-HB EHS) program on family functioning. The sample includes 152 low-income families in the Midwestern United States, expectant or parenting a child younger than 1 year of age, who were randomly assigned to receive IMH-HB EHS services (n = 75) or to a comparison condition (n = 77). Mothers who received IMH-HB EHS services reported healthier psychological and family functioning, outcomes that are consistent with the IMH focus, when their children were between the ages of 3 and 7 years of age. Specifically, mothers in the IMH-HB EHS group reported healthier family functioning and relationships, better coping skills needed to advocate for their families, and less stress in the parenting role versus those in the comparison condition. The study also examined support seeking coping, some of which changed differently over time based on program group assignment. Overall, findings suggest that the gains families achieve from participating in IMH-HB EHS services are maintained after services cease. © 2015 Michigan Association for Infant Mental Health.

Video-based face recognition via convolutional neural networks

NASA Astrophysics Data System (ADS)

Bao, Tianlong; Ding, Chunhui; Karmoshi, Saleem; Zhu, Ming

2017-06-01

Face recognition has been widely studied recently while video-based face recognition still remains a challenging task because of the low quality and large intra-class variation of video captured face images. In this paper, we focus on two scenarios of video-based face recognition: 1)Still-to-Video(S2V) face recognition, i.e., querying a still face image against a gallery of video sequences; 2)Video-to-Still(V2S) face recognition, in contrast to S2V scenario. A novel method was proposed in this paper to transfer still and video face images to an Euclidean space by a carefully designed convolutional neural network, then Euclidean metrics are used to measure the distance between still and video images. Identities of still and video images that group as pairs are used as supervision. In the training stage, a joint loss function that measures the Euclidean distance between the predicted features of training pairs and expanding vectors of still images is optimized to minimize the intra-class variation while the inter-class variation is guaranteed due to the large margin of still images. Transferred features are finally learned via the designed convolutional neural network. Experiments are performed on COX face dataset. Experimental results show that our method achieves reliable performance compared with other state-of-the-art methods.

The role of certified nursing assistants in nursing homes.

PubMed

Pennington, Karen; Scott, Jill; Magilvy, Kathy

2003-11-01

OBJECTIVE Pilot study to examine the experiences of the certified nursing assistants (CNAs) in Colorado nursing homes. CNAs provide 80% to 90% of the care to residents in nursing homes. Their reported turnover rate is as high as 400% in some studies, and the potential pool of CNAs is dwindling. As the demand for CNAs increases, their experiences must be understood to effectively address recruitment and retention issues. Minimally structured interviews of 12 CNAs in 6 Colorado nursing homes and observations of care provided were conducted. Atlas/Ti software was used as a data management tool for analyzing and coding data. The overriding theme that emerged from the interviews was "we love our jobs." Three patterns of thought and behavior emerged: attributes of the CNA, working conditions of the CNA, and future success of the CNA and the nursing home. Issues important to CNAs revolved around basic motivational factors, such as job enrichment opportunities, personal growth opportunities, recognition, responsibility, and sense of achievement. Leadership must become creative and build on that base, providing CNAs with job mobility, job enrichment opportunities, recognition, and increased job responsibility, producing positive outcomes not only for the CNA but also for the resident and the facility.

Multispectral iris recognition based on group selection and game theory

NASA Astrophysics Data System (ADS)

Ahmad, Foysal; Roy, Kaushik

2017-05-01

A commercially available iris recognition system uses only a narrow band of the near infrared spectrum (700-900 nm) while iris images captured in the wide range of 405 nm to 1550 nm offer potential benefits to enhance recognition performance of an iris biometric system. The novelty of this research is that a group selection algorithm based on coalition game theory is explored to select the best patch subsets. In this algorithm, patches are divided into several groups based on their maximum contribution in different groups. Shapley values are used to evaluate the contribution of patches in different groups. Results show that this group selection based iris recognition

Examining ERP correlates of recognition memory: Evidence of accurate source recognition without recollection

PubMed Central

Addante, Richard, J.; Ranganath, Charan; Yonelinas, Andrew, P.

2012-01-01

Recollection is typically associated with high recognition confidence and accurate source memory. However, subjects sometimes make accurate source memory judgments even for items that are not confidently recognized, and it is not known whether these responses are based on recollection or some other memory process. In the current study, we measured event related potentials (ERPs) while subjects made item and source memory confidence judgments in order to determine whether recollection supported accurate source recognition responses for items that were not confidently recognized. In line with previous studies, we found that recognition memory was associated with two ERP effects: an early on-setting FN400 effect, and a later parietal old-new effect [Late Positive Component (LPC)], which have been associated with familiarity and recollection, respectively. The FN400 increased gradually with item recognition confidence, whereas the LPC was only observed for highly confident recognition responses. The LPC was also related to source accuracy, but only for items that had received a high confidence item recognition response; accurate source judgments to items that were less confidently recognized did not exhibit the typical ERP correlate of recollection or familiarity, but rather showed a late, broadly distributed negative ERP difference. The results indicate that accurate source judgments of episodic context can occur even when recollection fails. PMID:22548808

The Relative Success of Recognition-Based Inference in Multichoice Decisions

ERIC Educational Resources Information Center

McCloy, Rachel; Beaman, C. Philip; Smith, Philip T.

2008-01-01

The utility of an "ecologically rational" recognition-based decision rule in multichoice decision problems is analyzed, varying the type of judgment required (greater or lesser). The maximum size and range of a counterintuitive advantage associated with recognition-based judgment (the "less-is-more effect") is identified for a range of cue…

The efficacy of early initiated, supervised, progressive resistance training compared to unsupervised, home-based exercise after unicompartmental knee arthroplasty: a single-blinded randomized controlled trial.

PubMed

Jørgensen, Peter B; Bogh, Søren B; Kierkegaard, Signe; Sørensen, Henrik; Odgaard, Anders; Søballe, Kjeld; Mechlenburg, Inger

2017-01-01

To examine if supervised progressive resistance training was superior to home-based exercise in rehabilitation after unicompartmental knee arthroplasty. Single blinded, randomized clinical trial. Surgery, progressive resistance training and testing was carried out at Aarhus University Hospital and home-based exercise was carried out in the home of the patient. Fifty five patients were randomized to either progressive resistance training or home-based exercise. Patients were randomized to either progressive resistance training (home based exercise five days/week and progressive resistance training two days/week) or control group (home based exercise seven days/week). Preoperative assessment, 10-week (primary endpoint) and one-year follow-up were performed for leg extension power, spatiotemporal gait parameters and knee injury and osteoarthritis outcome score (KOOS). Forty patients (73%) completed 1-year follow-up. Patients in the progressive resistance training group participated in average 11 of 16 training sessions. Leg extension power increased from baseline to 10-week follow-up in progressive resistance training group (progressive resistance training: 0.28 W/kg, P= 0.01, control group: 0.01 W/kg, P=0.93) with no between-group difference. Walking speed and KOOS scores increased from baseline to 10-week follow-up in both groups with no between-group difference (six minutes walk test P=0.63, KOOS P>0.29). Progressive resistance training two days/week combined with home based exercise five days/week was not superior to home based exercise seven days/week in improving leg extension power of the operated leg.

Home Literacy Exposure and Early Language and Literacy Skills in Children Who Struggle with Behavior and Attention Problems

ERIC Educational Resources Information Center

Haak, Jill; Downer, Jason; Reeve, Ronald

2012-01-01

Research Findings: This study investigated the relationships between behavior and attention problems and early language and literacy outcomes for 4-year-olds who experienced varied early home literacy environments. Participants were 1,364 children enrolled in the National Institute of Child Health and Human Development Study of Early Child Care…

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)

Deficits in Facial Expression Recognition in Male Adolescents with Early-Onset or Adolescence-Onset Conduct Disorder

ERIC Educational Resources Information Center

Fairchild, Graeme; Van Goozen, Stephanie H. M.; Calder, Andrew J.; Stollery, Sarah J.; Goodyer, Ian M.

2009-01-01

Background: We examined whether conduct disorder (CD) is associated with deficits in facial expression recognition and, if so, whether these deficits are specific to the early-onset form of CD, which emerges in childhood. The findings could potentially inform the developmental taxonomic theory of antisocial behaviour, which suggests that…

Social recognition is context dependent in single male prairie voles

PubMed Central

Zheng, Da-Jiang; Foley, Lauren; Rehman, Asad; Ophir, Alexander G.

2013-01-01

Single males might benefit from knowing the identity of neighbouring males when establishing and defending boundaries. Similarly, males should discriminate between individual females if this leads to more reproductive opportunities. Contextual social cues may alter the value of learning identity. Knowing the identity of competitors that intrude into an animal’s territory may be more salient than knowing the identity of individuals on whose territory an animal is trespassing. Hence, social and environmental context could affect social recognition in many ways. Here we test social recognition of socially monogamous single male prairie voles, Microtus ochrogaster. In experiment 1 we tested recognition of male or female conspecifics and found that males discriminated between different males but not between different females. In experiment 2 we asked whether recognition of males is influenced when males are tested in their own cage (familiar), in a clean cage (neutral) or in the home cage of another male (unfamiliar). Although focal males discriminated between male conspecifics in all three contexts, individual variation in recognition was lower when males were tested in their home cage (in the presence of familiar social cues) compared to when the context lacked social cues (neutral). Experiment 1 indicates that selective pressures may have operated to enhance male territorial behaviour and indiscriminate mate selection. Experiment 2 suggests that the presence of a conspecific cue heightens social recognition and that home-field advantages might extend to social cognition. Taken together, our results indicate social recognition depends on the social and possibly territorial context. PMID:24273328

Social recognition is context dependent in single male prairie voles.

PubMed

Zheng, Da-Jiang; Foley, Lauren; Rehman, Asad; Ophir, Alexander G

2013-11-01

Single males might benefit from knowing the identity of neighbouring males when establishing and defending boundaries. Similarly, males should discriminate between individual females if this leads to more reproductive opportunities. Contextual social cues may alter the value of learning identity. Knowing the identity of competitors that intrude into an animal's territory may be more salient than knowing the identity of individuals on whose territory an animal is trespassing. Hence, social and environmental context could affect social recognition in many ways. Here we test social recognition of socially monogamous single male prairie voles, Microtus ochrogaster . In experiment 1 we tested recognition of male or female conspecifics and found that males discriminated between different males but not between different females. In experiment 2 we asked whether recognition of males is influenced when males are tested in their own cage (familiar), in a clean cage (neutral) or in the home cage of another male (unfamiliar). Although focal males discriminated between male conspecifics in all three contexts, individual variation in recognition was lower when males were tested in their home cage (in the presence of familiar social cues) compared to when the context lacked social cues (neutral). Experiment 1 indicates that selective pressures may have operated to enhance male territorial behaviour and indiscriminate mate selection. Experiment 2 suggests that the presence of a conspecific cue heightens social recognition and that home-field advantages might extend to social cognition. Taken together, our results indicate social recognition depends on the social and possibly territorial context.

Home-Based Cardiac Rehabilitation.

ERIC Educational Resources Information Center

Fardy, Paul S.

1987-01-01

Although cardiac rehabilitation has become increasingly popular, only 15 percent of eligible candidates participate in supervised and monitored programs. This article reviews alternative home-based cardiac rehabilitation, discussing types of activities, monitoring, diet, motivation, and coordination with traditional program staff. (Author/MT)

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.

Diverse Pathways in Early Childhood Professional Development: An Exploration of Early Educators in Public Preschools, Private Preschools, and Family Child Care Homes

PubMed Central

Fuligni, Allison Sidle; Howes, Carollee; Lara-Cinisomo, Sandraluz; Karoly, Lynn

2009-01-01

This paper presents a naturalistic investigation of the patterns of formal education, early childhood education training, and mentoring of a diverse group of urban early childhood educators participating in the Los Angeles: Exploring Children's Early Learning Settings (LA ExCELS) study. A total of 103 preschool teachers and family child care providers serving primarily low-income 3- and 4-year-old children in Los Angeles County provided data on their education, training, and beliefs about teaching. This sample worked in public center based preschool programs including Head Start classrooms and State preschool classrooms (N=42), private non-profit preschools including community based organizations and faith-based preschools (N=42), and licensed family child care homes (N=19). This study uses a person-centered approach to explore patterns of teacher preparation, sources of support, supervision, and mentoring across these 3 types of education settings, and how these patterns are associated with early childhood educators' beliefs and practices. Findings suggest a set of linkages between type of early education setting, professional development, and supervision of teaching. Public preschools have the strongest mandates for formal professional development and typically less variation in levels of monitoring, whereas family child care providers on average have less formal education and more variability in their access to and use of other forms of training and mentorship. Four distinct patterns of formal education, child development training, and ongoing mentoring or support were identified among the educators in this study. Associations between professional development experiences and teachers' beliefs and practices suggested the importance of higher levels of formal training for enhancing the quality of teacher-child interactions. Implications of the findings for changing teacher behaviors are discussed with respect to considering the setting context. PMID:20072719

Automatic speech recognition (ASR) based approach for speech therapy of aphasic patients: A review

NASA Astrophysics Data System (ADS)

Jamal, Norezmi; Shanta, Shahnoor; Mahmud, Farhanahani; Sha'abani, MNAH

2017-09-01

This paper reviews the state-of-the-art an automatic speech recognition (ASR) based approach for speech therapy of aphasic patients. Aphasia is a condition in which the affected person suffers from speech and language disorder resulting from a stroke or brain injury. Since there is a growing body of evidence indicating the possibility of improving the symptoms at an early stage, ASR based solutions are increasingly being researched for speech and language therapy. ASR is a technology that transfers human speech into transcript text by matching with the system's library. This is particularly useful in speech rehabilitation therapies as they provide accurate, real-time evaluation for speech input from an individual with speech disorder. ASR based approaches for speech therapy recognize the speech input from the aphasic patient and provide real-time feedback response to their mistakes. However, the accuracy of ASR is dependent on many factors such as, phoneme recognition, speech continuity, speaker and environmental differences as well as our depth of knowledge on human language understanding. Hence, the review examines recent development of ASR technologies and its performance for individuals with speech and language disorders.

Robust and Effective Component-based Banknote Recognition for the Blind

PubMed Central

Hasanuzzaman, Faiz M.; Yang, Xiaodong; Tian, YingLi

2012-01-01

We develop a novel camera-based computer vision technology to automatically recognize banknotes for assisting visually impaired people. Our banknote recognition system is robust and effective with the following features: 1) high accuracy: high true recognition rate and low false recognition rate, 2) robustness: handles a variety of currency designs and bills in various conditions, 3) high efficiency: recognizes banknotes quickly, and 4) ease of use: helps blind users to aim the target for image capture. To make the system robust to a variety of conditions including occlusion, rotation, scaling, cluttered background, illumination change, viewpoint variation, and worn or wrinkled bills, we propose a component-based framework by using Speeded Up Robust Features (SURF). Furthermore, we employ the spatial relationship of matched SURF features to detect if there is a bill in the camera view. This process largely alleviates false recognition and can guide the user to correctly aim at the bill to be recognized. The robustness and generalizability of the proposed system is evaluated on a dataset including both positive images (with U.S. banknotes) and negative images (no U.S. banknotes) collected under a variety of conditions. The proposed algorithm, achieves 100% true recognition rate and 0% false recognition rate. Our banknote recognition system is also tested by blind users. PMID:22661884

Economic assessment of home-based COPD management programs.

PubMed

Liu, Sheena Xin; Lee, Michael C; Atakhorrami, Maryam; Tatousek, Jan; McCormack, Meredith; Yung, Rex; Hart, Nicholas; White, David P

2013-12-01

Home-based exacerbation management programs have been proposed as an approach to reducing the clinical and financial burden of COPD. We demonstrate a framework to evaluate such programs in order to guide program design and performance decisions towards optimizing cost and clinical outcomes. This study models the impact of hypothetical exacerbation management programs through probabilistic Markov simulations. Patients were stratified by risk using exacerbation rates from the ECLIPSE study and expert opinion. Three scenarios were modeled, using base, worst and best case parameters to suggest potential telehealth program performance. In these scenarios, acute exacerbations could be detected early, with sensitivity and specificity ranging from 60-90%. Detected acute exacerbations could be diverted to either a sub-acute pathway (12.5-50% probability), thus entirely avoiding hospitalization, or a lower cost pathway through length-of-stay reduction (14-28% reduction). For a cohort of patients without prior hospitalization, the base case telehealth scenario results in a cumulative per-patient lifetime savings of $2.9 K over ≈ 12 years. For a higher risk cohort of patients with a prior admission and 1 to 2 acute exacerbations per year, a cumulative $16K per patient was saved during the remaining ≈ 3 life-years. Acceptable prices for home-based exacerbation detection testing were highly dependent on patient risk and scenario, but ranged from $290-$1263 per month for the highest risk groups. These results suggest the economic viability of exacerbation management programs and highlight the importance of risk stratification in such programs. The presented model can further be adapted to model specific programs as trial data becomes available.

Providing High-Quality Support Services to Home-Based Child Care: A Conceptual Model and Literature Review

ERIC Educational Resources Information Center

Bromer, Juliet; Korfmacher, Jon

2017-01-01

Research Findings: Home-based child care accounts for a significant proportion of nonparental child care arrangements for young children in the United States. Yet the early care and education field lacks clear models or pathways for how to improve quality in these settings. The conceptual model presented here articulates the components of…

A two-stage clinical decision support system for early recognition and stratification of patients with sepsis: an observational cohort study.

PubMed

Amland, Robert C; Lyons, Jason J; Greene, Tracy L; Haley, James M

2015-10-01

To examine the diagnostic accuracy of a two-stage clinical decision support system for early recognition and stratification of patients with sepsis. Observational cohort study employing a two-stage sepsis clinical decision support to recognise and stratify patients with sepsis. The stage one component was comprised of a cloud-based clinical decision support with 24/7 surveillance to detect patients at risk of sepsis. The cloud-based clinical decision support delivered notifications to the patients' designated nurse, who then electronically contacted a provider. The second stage component comprised a sepsis screening and stratification form integrated into the patient electronic health record, essentially an evidence-based decision aid, used by providers to assess patients at bedside. Urban, 284 acute bed community hospital in the USA; 16,000 hospitalisations annually. Data on 2620 adult patients were collected retrospectively in 2014 after the clinical decision support was implemented. 'Suspected infection' was the established gold standard to assess clinical decision support clinimetric performance. A sepsis alert activated on 417 (16%) of 2620 adult patients hospitalised. Applying 'suspected infection' as standard, the patient population characteristics showed 72% sensitivity and 73% positive predictive value. A postalert screening conducted by providers at bedside of 417 patients achieved 81% sensitivity and 94% positive predictive value. Providers documented against 89% patients with an alert activated by clinical decision support and completed 75% of bedside screening and stratification of patients with sepsis within one hour from notification. A clinical decision support binary alarm system with cross-checking functionality improves early recognition and facilitates stratification of patients with sepsis.

Visual Recognition of the Elderly Concerning Risks of Falling or Stumbling Indoors in the Home

PubMed Central

Katsura, Toshiki; Miura, Norio; Hoshino, Akiko; Usui, Kanae; Takahashi, Yasuro; Hisamoto, Seiichi

2011-01-01

Objective: The objective of this study was to verify the recognition of dangers and obstacles within a house in the elderly when walking based on analyses of gaze point fixation. Materials and Methods: The rate of recognizing indoor dangers was compared among 30 elderly, 14 middle-aged and 11 young individuals using the Eye Mark Recorder. Results: 1) All of the elderly, middle-aged and young individuals showed a high recognition rate of 100% or near 100% when ascending outdoor steps but a low rate of recognizing obstacles placed on the steps. They showed a recognition rate of about 60% when descending steps from residential premises to the street. The rate of recognizing middle steps in the elderly was significantly lower than that in younger and middle-aged individuals. Regarding recognition indoors, when ascending stairs, all of the elderly, middle-aged and young individuals showed a high recognition rate of nearly 100%. When descending stairs, they showed a recognition rate of 70-90%. However, although the recognition rate in the elderly was lower than in younger and middle-aged individuals, no significant difference was observed. 2) When moving indoors, all of the elderly, middle-aged and young individuals showed a recognition rate of 70%-80%. The recognition rate was high regarding obstacles such as floors, televisions and chests of drawers but low for obstacles in the bathroom and steps on the path. The rate of recognizing steps of doorsills forming the division between a Japanese-style room and corridor as well as obstacles in a Japanese-style room was low, and the rate in the elderly was low, being 40% or less. Conclusion: The rate of recognizing steps of doorsills as well as obstacles in a Japanese-style room was lower in the elderly in comparison with middle-aged or young individuals. PMID:25648876

Finger Vein Recognition Based on Local Directional Code

PubMed Central

Meng, Xianjing; Yang, Gongping; Yin, Yilong; Xiao, Rongyang

2012-01-01

Finger vein patterns are considered as one of the most promising biometric authentication methods for its security and convenience. Most of the current available finger vein recognition methods utilize features from a segmented blood vessel network. As an improperly segmented network may degrade the recognition accuracy, binary pattern based methods are proposed, such as Local Binary Pattern (LBP), Local Derivative Pattern (LDP) and Local Line Binary Pattern (LLBP). However, the rich directional information hidden in the finger vein pattern has not been fully exploited by the existing local patterns. Inspired by the Webber Local Descriptor (WLD), this paper represents a new direction based local descriptor called Local Directional Code (LDC) and applies it to finger vein recognition. In LDC, the local gradient orientation information is coded as an octonary decimal number. Experimental results show that the proposed method using LDC achieves better performance than methods using LLBP. PMID:23202194

Finger vein recognition based on local directional code.

PubMed

Meng, Xianjing; Yang, Gongping; Yin, Yilong; Xiao, Rongyang

2012-11-05

Finger vein patterns are considered as one of the most promising biometric authentication methods for its security and convenience. Most of the current available finger vein recognition methods utilize features from a segmented blood vessel network. As an improperly segmented network may degrade the recognition accuracy, binary pattern based methods are proposed, such as Local Binary Pattern (LBP), Local Derivative Pattern (LDP) and Local Line Binary Pattern (LLBP). However, the rich directional information hidden in the finger vein pattern has not been fully exploited by the existing local patterns. Inspired by the Webber Local Descriptor (WLD), this paper represents a new direction based local descriptor called Local Directional Code (LDC) and applies it to finger vein recognition. In LDC, the local gradient orientation information is coded as an octonary decimal number. Experimental results show that the proposed method using LDC achieves better performance than methods using LLBP.

A learning-based agent for home neurorehabilitation.

PubMed

Lydakis, Andreas; Meng, Yuanliang; Munroe, Christopher; Wu, Yi-Ning; Begum, Momotaz

2017-07-01

This paper presents the iterative development of an artificially intelligent system to promote home-based neurorehabilitation. Although proper, structured practice of rehabilitation exercises at home is the key to successful recovery of motor functions, there is no home-program out there which can monitor a patient's exercise-related activities and provide corrective feedback in real time. To this end, we designed a Learning from Demonstration (LfD) based home-rehabilitation framework that combines advanced robot learning algorithms with commercially available wearable technologies. The proposed system uses exercise-related motion information and electromyography signals (EMG) of a patient to train a Markov Decision Process (MDP). The trained MDP model can enable an agent to serve as a coach for a patient. On a system level, this is the first initiative, to the best of our knowledge, to employ LfD in an health-care application to enable lay users to program an intelligent system. From a rehabilitation research perspective, this is a completely novel initiative to employ machine learning to provide interactive corrective feedback to a patient in home settings.

Automated Clinical Assessment from Smart home-based Behavior Data

PubMed Central

Dawadi, Prafulla Nath; Cook, Diane Joyce; Schmitter-Edgecombe, Maureen

2016-01-01

Smart home technologies offer potential benefits for assisting clinicians by automating health monitoring and well-being assessment. In this paper, we examine the actual benefits of smart home-based analysis by monitoring daily behaviour in the home and predicting standard clinical assessment scores of the residents. To accomplish this goal, we propose a Clinical Assessment using Activity Behavior (CAAB) approach to model a smart home resident’s daily behavior and predict the corresponding standard clinical assessment scores. CAAB uses statistical features that describe characteristics of a resident’s daily activity performance to train machine learning algorithms that predict the clinical assessment scores. We evaluate the performance of CAAB utilizing smart home sensor data collected from 18 smart homes over two years using prediction and classification-based experiments. In the prediction-based experiments, we obtain a statistically significant correlation (r = 0.72) between CAAB-predicted and clinician-provided cognitive assessment scores and a statistically significant correlation (r = 0.45) between CAAB-predicted and clinician-provided mobility scores. Similarly, for the classification-based experiments, we find CAAB has a classification accuracy of 72% while classifying cognitive assessment scores and 76% while classifying mobility scores. These prediction and classification results suggest that it is feasible to predict standard clinical scores using smart home sensor data and learning-based data analysis. PMID:26292348

Reducing Readmissions among Heart Failure Patients Discharged to Home Health Care: Effectiveness of Early and Intensive Nursing Services and Early Physician Follow-Up.

PubMed

Murtaugh, Christopher M; Deb, Partha; Zhu, Carolyn; Peng, Timothy R; Barrón, Yolanda; Shah, Shivani; Moore, Stanley M; Bowles, Kathryn H; Kalman, Jill; Feldman, Penny H; Siu, Albert L

2017-08-01

To compare the effectiveness of two "treatments"-early, intensive home health nursing and physician follow-up within a week-versus less intense and later postacute care in reducing readmissions among heart failure (HF) patients discharged to home health care. National Medicare administrative, claims, and patient assessment data. Patients with a full week of potential exposure to the treatments were followed for 30 days to determine exposure status, 30-day all-cause hospital readmission, other health care use, and mortality. An extension of instrumental variables methods for nonlinear statistical models corrects for nonrandom selection of patients into treatment categories. Our instruments are the index hospital's rate of early aftercare for non-HF patients and hospital discharge day of the week. All hospitalizations for a HF principal diagnosis with discharge to home health care between July 2009 and June 2010 were identified from source files. Neither treatment by itself has a statistically significant effect on hospital readmission. In combination, however, they reduce the probability of readmission by roughly 8 percentage points (p < .001; confidence interval = -12.3, -4.1). Results are robust to changes in implementation of the nonlinear IV estimator, sample, outcome measure, and length of follow-up. Our results call for closer coordination between home health and medical providers in the clinical management of HF patients immediately after hospital discharge. © Health Research and Educational Trust.

A Random Forest-based ensemble method for activity recognition.

PubMed

Feng, Zengtao; Mo, Lingfei; Li, Meng

2015-01-01

This paper presents a multi-sensor ensemble approach to human physical activity (PA) recognition, using random forest. We designed an ensemble learning algorithm, which integrates several independent Random Forest classifiers based on different sensor feature sets to build a more stable, more accurate and faster classifier for human activity recognition. To evaluate the algorithm, PA data collected from the PAMAP (Physical Activity Monitoring for Aging People), which is a standard, publicly available database, was utilized to train and test. The experimental results show that the algorithm is able to correctly recognize 19 PA types with an accuracy of 93.44%, while the training is faster than others. The ensemble classifier system based on the RF (Random Forest) algorithm can achieve high recognition accuracy and fast calculation.

Mother and Home Visitor Personality Characteristics, the Mother-Home-Visitor Relationship, and Home Visit Intensity.

ERIC Educational Resources Information Center

Ispa, Jean; Sharp, Elizabeth; Brookes, Sheila; Wolfenstein, Miriam; Thornburg, Kathy; Fine, Mark; Lane, Valeri

Noting that families in home visiting early intervention programs receive only about half the number of intended visits, this research used quantitative and qualitative methods to investigate how personality and other factors affect the mother-home visitor relationship and thereby, influence home visit intensity. Participating in the study were 5…

Study of environmental sound source identification based on hidden Markov model for robust speech recognition

NASA Astrophysics Data System (ADS)

Nishiura, Takanobu; Nakamura, Satoshi

2003-10-01

Humans communicate with each other through speech by focusing on the target speech among environmental sounds in real acoustic environments. We can easily identify the target sound from other environmental sounds. For hands-free speech recognition, the identification of the target speech from environmental sounds is imperative. This mechanism may also be important for a self-moving robot to sense the acoustic environments and communicate with humans. Therefore, this paper first proposes hidden Markov model (HMM)-based environmental sound source identification. Environmental sounds are modeled by three states of HMMs and evaluated using 92 kinds of environmental sounds. The identification accuracy was 95.4%. This paper also proposes a new HMM composition method that composes speech HMMs and an HMM of categorized environmental sounds for robust environmental sound-added speech recognition. As a result of the evaluation experiments, we confirmed that the proposed HMM composition outperforms the conventional HMM composition with speech HMMs and a noise (environmental sound) HMM trained using noise periods prior to the target speech in a captured signal. [Work supported by Ministry of Public Management, Home Affairs, Posts and Telecommunications of Japan.

The Bidirectional Effects of Early Poverty on Children's Reading and Home Environment Scores: Associations and Ethnic Differences

ERIC Educational Resources Information Center

Lee, Kyunghee

2009-01-01

Using data from the National Longitudinal Survey of Youth, the author reports secondary analyses that examine the bidirectional effects of the duration of early poverty on children's reading and home environment scores. The author focuses on three specific questions: (1) Does the duration of early childhood poverty affect children's reading scores…

Mathematical morphology-based shape feature analysis for Chinese character recognition systems

NASA Astrophysics Data System (ADS)

Pai, Tun-Wen; Shyu, Keh-Hwa; Chen, Ling-Fan; Tai, Gwo-Chin

1995-04-01

This paper proposes an efficient technique of shape feature extraction based on the application of mathematical morphology theory. A new shape complexity index for preclassification of machine printed Chinese Character Recognition (CCR) is also proposed. For characters represented in different fonts/sizes or in a low resolution environment, a more stable local feature such as shape structure is preferred for character recognition. Morphological valley extraction filters are applied to extract the protrusive strokes from four sides of an input Chinese character. The number of extracted local strokes reflects the shape complexity of each side. These shape features of characters are encoded as corresponding shape complexity indices. Based on the shape complexity index, data base is able to be classified into 16 groups prior to recognition procedures. The performance of associating with shape feature analysis reclaims several characters from misrecognized character sets and results in an average of 3.3% improvement of recognition rate from an existing recognition system. In addition to enhance the recognition performance, the extracted stroke information can be further analyzed and classified its own stroke type. Therefore, the combination of extracted strokes from each side provides a means for data base clustering based on radical or subword components. It is one of the best solutions for recognizing high complexity characters such as Chinese characters which are divided into more than 200 different categories and consist more than 13,000 characters.

Quality based approach for adaptive face recognition

NASA Astrophysics Data System (ADS)

Abboud, Ali J.; Sellahewa, Harin; Jassim, Sabah A.

2009-05-01

Recent advances in biometric technology have pushed towards more robust and reliable systems. We aim to build systems that have low recognition errors and are less affected by variation in recording conditions. Recognition errors are often attributed to the usage of low quality biometric samples. Hence, there is a need to develop new intelligent techniques and strategies to automatically measure/quantify the quality of biometric image samples and if necessary restore image quality according to the need of the intended application. In this paper, we present no-reference image quality measures in the spatial domain that have impact on face recognition. The first is called symmetrical adaptive local quality index (SALQI) and the second is called middle halve (MH). Also, an adaptive strategy has been developed to select the best way to restore the image quality, called symmetrical adaptive histogram equalization (SAHE). The main benefits of using quality measures for adaptive strategy are: (1) avoidance of excessive unnecessary enhancement procedures that may cause undesired artifacts, and (2) reduced computational complexity which is essential for real time applications. We test the success of the proposed measures and adaptive approach for a wavelet-based face recognition system that uses the nearest neighborhood classifier. We shall demonstrate noticeable improvements in the performance of adaptive face recognition system over the corresponding non-adaptive scheme.

Measuring Recognition Performance Using Computer-Based and Paper-Based Methods.

ERIC Educational Resources Information Center

Federico, Pat-Anthony

1991-01-01

Using a within-subjects design, computer-based and paper-based tests of aircraft silhouette recognition were administered to 83 male naval pilots and flight officers to determine the relative reliabilities and validities of 2 measurement modes. Relative reliabilities and validities of the two modes were contingent on the multivariate measurement…

Finger Vein Recognition Based on a Personalized Best Bit Map

PubMed Central

Yang, Gongping; Xi, Xiaoming; Yin, Yilong

2012-01-01

Finger vein patterns have recently been recognized as an effective biometric identifier. In this paper, we propose a finger vein recognition method based on a personalized best bit map (PBBM). Our method is rooted in a local binary pattern based method and then inclined to use the best bits only for matching. We first present the concept of PBBM and the generating algorithm. Then we propose the finger vein recognition framework, which consists of preprocessing, feature extraction, and matching. Finally, we design extensive experiments to evaluate the effectiveness of our proposal. Experimental results show that PBBM achieves not only better performance, but also high robustness and reliability. In addition, PBBM can be used as a general framework for binary pattern based recognition. PMID:22438735

Finger vein recognition based on a personalized best bit map.

PubMed

Yang, Gongping; Xi, Xiaoming; Yin, Yilong

2012-01-01

Finger vein patterns have recently been recognized as an effective biometric identifier. In this paper, we propose a finger vein recognition method based on a personalized best bit map (PBBM). Our method is rooted in a local binary pattern based method and then inclined to use the best bits only for matching. We first present the concept of PBBM and the generating algorithm. Then we propose the finger vein recognition framework, which consists of preprocessing, feature extraction, and matching. Finally, we design extensive experiments to evaluate the effectiveness of our proposal. Experimental results show that PBBM achieves not only better performance, but also high robustness and reliability. In addition, PBBM can be used as a general framework for binary pattern based recognition.

Genetic Influences on Early Word Recognition Abilities and Disabilities: A Study of 7-Year-Old Twins

ERIC Educational Resources Information Center

Harlaar, Nicole; Spinath, Frank M.; Dale, Philip S.; Plomin, Robert

2005-01-01

Background: A fundamental issue for child psychology concerns the origins of individual differences in early reading development. Method: A measure of word recognition, the Test of Word Reading Efficiency (TOWRE), was administered by telephone to a representative population sample of 3,909 same-sex and opposite-sex pairs of 7-year-old twins.…

Acceptability of self-conducted home-based HIV testing among men who have sex with men in Brazil: data from an on-line survey

PubMed Central

Lippman, Sheri A.; Périssé, André R. S.; Veloso, Valdiléa G.; Sullivan, Patrick S.; Buchbinder, Susan; Sineath, R. Craig; Grinsztejn, Beatriz

2014-01-01

The Brazilian HIV/AIDS epidemic is concentrated among men who have sex with men (MSM), however HIV testing rates among MSM are not commensurate with their risk. Strategies to expand early diagnosis may include use of self-conducted home-based testing kits, which are now available for purchase in the US. In April 2011 we conducted a survey with Brazilian MSM using Facebook to assess HIV testing preferences and acceptability of home-based testing. Among 356 previously tested, HIV-negative MSM, 47% reported a preference for home-based testing, 27% preferred clinic-based testing, and 26% had no preference. Less frequent testers and those who had considered testing but failed to test were more likely to prefer home-based testing. Close to 90% reported that they would use self-test kits; 62% and 54% said they would use home-based testing to make choices about unprotected sex with regular and new partners, respectively. Concerns included difficulty to understand the tests (32%) and receiving results alone (23%). Overall, home-based testing may appeal to MSM and result in increased testing frequency. Research on feasibility and utilization of self-tests in practice is needed. PMID:24896048

Intelligent fault recognition strategy based on adaptive optimized multiple centers

NASA Astrophysics Data System (ADS)

Zheng, Bo; Li, Yan-Feng; Huang, Hong-Zhong

2018-06-01

For the recognition principle based optimized single center, one important issue is that the data with nonlinear separatrix cannot be recognized accurately. In order to solve this problem, a novel recognition strategy based on adaptive optimized multiple centers is proposed in this paper. This strategy recognizes the data sets with nonlinear separatrix by the multiple centers. Meanwhile, the priority levels are introduced into the multi-objective optimization, including recognition accuracy, the quantity of optimized centers, and distance relationship. According to the characteristics of various data, the priority levels are adjusted to ensure the quantity of optimized centers adaptively and to keep the original accuracy. The proposed method is compared with other methods, including support vector machine (SVM), neural network, and Bayesian classifier. The results demonstrate that the proposed strategy has the same or even better recognition ability on different distribution characteristics of data.

Towards discrete wavelet transform-based human activity recognition

NASA Astrophysics Data System (ADS)

Khare, Manish; Jeon, Moongu

2017-06-01

Providing accurate recognition of human activities is a challenging problem for visual surveillance applications. In this paper, we present a simple and efficient algorithm for human activity recognition based on a wavelet transform. We adopt discrete wavelet transform (DWT) coefficients as a feature of human objects to obtain advantages of its multiresolution approach. The proposed method is tested on multiple levels of DWT. Experiments are carried out on different standard action datasets including KTH and i3D Post. The proposed method is compared with other state-of-the-art methods in terms of different quantitative performance measures. The proposed method is found to have better recognition accuracy in comparison to the state-of-the-art methods.

2D DOST based local phase pattern for face recognition

NASA Astrophysics Data System (ADS)

Moniruzzaman, Md.; Alam, Mohammad S.

2017-05-01

A new two dimensional (2-D) Discrete Orthogonal Stcokwell Transform (DOST) based Local Phase Pattern (LPP) technique has been proposed for efficient face recognition. The proposed technique uses 2-D DOST as preliminary preprocessing and local phase pattern to form robust feature signature which can effectively accommodate various 3D facial distortions and illumination variations. The S-transform, is an extension of the ideas of the continuous wavelet transform (CWT), is also known for its local spectral phase properties in time-frequency representation (TFR). It provides a frequency dependent resolution of the time-frequency space and absolutely referenced local phase information while maintaining a direct relationship with the Fourier spectrum which is unique in TFR. After utilizing 2-D Stransform as the preprocessing and build local phase pattern from extracted phase information yield fast and efficient technique for face recognition. The proposed technique shows better correlation discrimination compared to alternate pattern recognition techniques such as wavelet or Gabor based face recognition. The performance of the proposed method has been tested using the Yale and extended Yale facial database under different environments such as illumination variation and 3D changes in facial expressions. Test results show that the proposed technique yields better performance compared to alternate time-frequency representation (TFR) based face recognition techniques.

The Suitability of Cloud-Based Speech Recognition Engines for Language Learning

ERIC Educational Resources Information Center

Daniels, Paul; Iwago, Koji

2017-01-01

As online automatic speech recognition (ASR) engines become more accurate and more widely implemented with call software, it becomes important to evaluate the effectiveness and the accuracy of these recognition engines using authentic speech samples. This study investigates two of the most prominent cloud-based speech recognition engines--Apple's…

Reasoning Activity for Smart Homes Using a Lattice-Based Evidential Structure

NASA Astrophysics Data System (ADS)

Liao, Jing; Bi, Yaxin; Nugent, Chris

This paper explores a revised evidential lattice structure designed for the purposes of activity recognition within Smart Homes. The proposed structure consists of three layers, an object layer, a context layer and an activity layer. These layers can be used to combine the mass functions derived from sensors along with sensor context and can subsequently be used to infer activities. We present the details of configuring the activity recognition process and perform an analysis on the relationship between the number of sensors and the number of layers. We also present the details of an empirical study on two public data sets. The results from this work has demonstrated that the proposed method is capable of correctly detecting activities with a high degree of accuracy (84.27%) with a dataset from MIT [4] and 82.49% with a dataset from the University of Amsterdam[10].

A requirement for the immediate early gene zif268 in reconsolidation of recognition memory after retrieval.

PubMed

Bozon, Bruno; Davis, Sabrina; Laroche, Serge

2003-11-13

Recent research has revived interest in the possibility that previously consolidated memories need to reconsolidate when recalled to return to accessible long-term memory. Evidence suggests that both consolidation and reconsolidation of certain types of memory require protein synthesis, but whether similar molecular mechanisms are involved remains unclear. Here, we explore whether zif268, an activity-dependent inducible immediate early gene (IEG) required for consolidation of new memories, is also recruited for reconsolidation of recognition memory following reactivation. We show that when a consolidated memory for objects is recalled, zif268 mutant mice are impaired in further long-term but not short-term recognition memory. The impairment is specific to reactivation with the previously memorized objects in the relevant context, occurs in delayed recall, and does not recover over several days. These findings indicate that IEG-mediated transcriptional regulation in neurons is one common molecular mechanism for the storage of newly formed and reactivated recognition memories.

An Improved Iris Recognition Algorithm Based on Hybrid Feature and ELM

NASA Astrophysics Data System (ADS)

Wang, Juan

2018-03-01

The iris image is easily polluted by noise and uneven light. This paper proposed an improved extreme learning machine (ELM) based iris recognition algorithm with hybrid feature. 2D-Gabor filters and GLCM is employed to generate a multi-granularity hybrid feature vector. 2D-Gabor filter and GLCM feature work for capturing low-intermediate frequency and high frequency texture information, respectively. Finally, we utilize extreme learning machine for iris recognition. Experimental results reveal our proposed ELM based multi-granularity iris recognition algorithm (ELM-MGIR) has higher accuracy of 99.86%, and lower EER of 0.12% under the premise of real-time performance. The proposed ELM-MGIR algorithm outperforms other mainstream iris recognition algorithms.

The Early Childhood Obesity Prevention Program (ECHO): an ecologically-based intervention delivered by home visitors for newborns and their mothers.

PubMed

Cloutier, Michelle M; Wiley, James; Wang, Zhu; Grant, Autherene; Gorin, Amy A

2015-06-24

Obesity is a major problem in the United States, particularly among socio-economically disadvantaged Latino and Black children. Effective interventions that can be disseminated to large numbers of at-risk children and their families are needed. The goals of the Early Childhood Obesity Prevention Program (ECHO) are to examine the 12-month efficacy of a primary obesity prevention program targeting the first year of life that is delivered by home visitors and that engages mothers as agents of change to modify their own behavior and their infant's behavior through education and skill-building around nutrition, physical activity, and wellness, and then "echoes" her training with linkages to neighborhood programs and resources. Six family centers located in low-income neighborhoods in Hartford, CT were randomized into control and intervention neighborhoods. Fifty-seven mothers were recruited either prenatally or shortly after delivery into the Nurturing Families Network home visitation program; 27 lived in a control neighborhood and received the standard home visitation program and 30 lived in an intervention neighborhood and received both the standard home visitation program and the ECHO intervention. The intervention increases maternal skills in goal-setting, stimulus control and problem-solving, engages family members to support changes, links mothers to neighborhood resources and is embedded in the standard home visitation program. ECHO targets include breastfeeding, solids, juice and sugar-sweetened beverages, routines for sleep and responding to infant cues, television/screen time, and maternal diet and physical activity. We hypothesize that infants in ECHO will have been breastfed longer and exclusively, will have delayed introduction of solids and juice, have longer sleep duration, decreased television/screen time and a lower weight for length z-score at 12 months, and their mothers will have greater fruit and vegetable consumption and higher levels of physical

Integrated Low-Rank-Based Discriminative Feature Learning for Recognition.

PubMed

Zhou, Pan; Lin, Zhouchen; Zhang, Chao

2016-05-01

Feature learning plays a central role in pattern recognition. In recent years, many representation-based feature learning methods have been proposed and have achieved great success in many applications. However, these methods perform feature learning and subsequent classification in two separate steps, which may not be optimal for recognition tasks. In this paper, we present a supervised low-rank-based approach for learning discriminative features. By integrating latent low-rank representation (LatLRR) with a ridge regression-based classifier, our approach combines feature learning with classification, so that the regulated classification error is minimized. In this way, the extracted features are more discriminative for the recognition tasks. Our approach benefits from a recent discovery on the closed-form solutions to noiseless LatLRR. When there is noise, a robust Principal Component Analysis (PCA)-based denoising step can be added as preprocessing. When the scale of a problem is large, we utilize a fast randomized algorithm to speed up the computation of robust PCA. Extensive experimental results demonstrate the effectiveness and robustness of our method.

A Home-Based Palliative Care Consult Service for Veterans.

PubMed

Golden, Adam G; Antoni, Charles; Gammonley, Denise

2016-11-01

We describe the development and implementation of a home-based palliative care consult service for Veterans with advanced illness. A retrospective chart review was performed on 73 Veterans who received a home-based palliative care consult. Nearly one-third were 80 years of age or older, and nearly one-third had a palliative diagnosis of cancer. The most common interventions of the consult team included discussion of advance directives, completion of a "do not resuscitate" form, reduction/stoppage of at least 1 medication, explanation of diagnosis, referral to home-based primary care program, referral to hospice, and assessment/support for caregiver stress. The home-based consult service was therefore able to address clinical and psychosocial issues that can demonstrate a direct benefit to Veterans, families, and referring clinicians. © The Author(s) 2015.

The Home Instruction Program for Preschool Youngsters (HIPPY).

ERIC Educational Resources Information Center

Baker, Amy J. L.; Piotrkowski, Chaya S.; Brooks-Gunn, Jeanne

1999-01-01

Describes the Home Instruction Program for Preschool Youngsters (HIPPY), a two-year home-based early-education intervention program designed to help parents with limited formal education prepare their children for school. Presents findings from a two-site HIPPY study, a one-site case study, and a three-site qualitative study. (SLD)

EEG based topography analysis in string recognition task

NASA Astrophysics Data System (ADS)

Ma, Xiaofei; Huang, Xiaolin; Shen, Yuxiaotong; Qin, Zike; Ge, Yun; Chen, Ying; Ning, Xinbao

2017-03-01

Vision perception and recognition is a complex process, during which different parts of brain are involved depending on the specific modality of the vision target, e.g. face, character, or word. In this study, brain activities in string recognition task compared with idle control state are analyzed through topographies based on multiple measurements, i.e. sample entropy, symbolic sample entropy and normalized rhythm power, extracted from simultaneously collected scalp EEG. Our analyses show that, for most subjects, both symbolic sample entropy and normalized gamma power in string recognition task are significantly higher than those in idle state, especially at locations of P4, O2, T6 and C4. It implies that these regions are highly involved in string recognition task. Since symbolic sample entropy measures complexity, from the perspective of new information generation, and normalized rhythm power reveals the power distributions in frequency domain, complementary information about the underlying dynamics can be provided through the two types of indices.

Early life stress impairs social recognition due to a blunted response of vasopressin release within the septum of adult male rats.

PubMed

Lukas, Michael; Bredewold, Remco; Landgraf, Rainer; Neumann, Inga D; Veenema, Alexa H

2011-07-01

Early life stress poses a risk for the development of psychopathologies characterized by disturbed emotional, social, and cognitive performance. We used maternal separation (MS, 3h daily, postnatal days 1-14) to test whether early life stress impairs social recognition performance in juvenile (5-week-old) and adult (16-week-old) male Wistar rats. Social recognition was tested in the social discrimination test and defined by increased investigation by the experimental rat towards a novel rat compared with a previously encountered rat. Juvenile control and MS rats demonstrated successful social recognition at inter-exposure intervals of 30 and 60 min. However, unlike adult control rats, adult MS rats failed to discriminate between a previously encountered and a novel rat after 60 min. The social recognition impairment of adult MS rats was accompanied by a lack of a rise in arginine vasopressin (AVP) release within the lateral septum seen during social memory acquisition in adult control rats. This blunted response of septal AVP release was social stimulus-specific because forced swimming induced a rise in septal AVP release in both control and MS rats. Retrodialysis of AVP (1 μg/ml, 3.3 μl/min, 30 min) into the lateral septum during social memory acquisition restored social recognition in adult MS rats at the 60-min interval. These studies demonstrate that MS impairs social recognition performance in adult rats, which is likely caused by blunted septal AVP activation. Impaired social recognition may be linked to MS-induced changes in other social behaviors like aggression as shown previously. Copyright © 2010 Elsevier Ltd. All rights reserved.

Effects of Home Environment and Center-Based Child Care Quality on Children's Language, Communication, and Literacy Outcomes

ERIC Educational Resources Information Center

Pinto, Ana Isabel; Pessanha, Manuela; Aguiar, Cecilia

2013-01-01

This study examined the joint effects of home environment and center-based child care quality on children's language, communication, and early literacy development, while also considering prior developmental level. Participants were 95 children (46 boys), assessed as toddlers (mean age = 26.33 months; Time 1) and preschoolers (mean age = 68.71…

Recognition-induced forgetting is not due to category-based set size.

PubMed

Maxcey, Ashleigh M

2016-01-01

What are the consequences of accessing a visual long-term memory representation? Previous work has shown that accessing a long-term memory representation via retrieval improves memory for the targeted item and hurts memory for related items, a phenomenon called retrieval-induced forgetting. Recently we found a similar forgetting phenomenon with recognition of visual objects. Recognition-induced forgetting occurs when practice recognizing an object during a two-alternative forced-choice task, from a group of objects learned at the same time, leads to worse memory for objects from that group that were not practiced. An alternative explanation of this effect is that category-based set size is inducing forgetting, not recognition practice as claimed by some researchers. This alternative explanation is possible because during recognition practice subjects make old-new judgments in a two-alternative forced-choice task, and are thus exposed to more objects from practiced categories, potentially inducing forgetting due to set-size. Herein I pitted the category-based set size hypothesis against the recognition-induced forgetting hypothesis. To this end, I parametrically manipulated the amount of practice objects received in the recognition-induced forgetting paradigm. If forgetting is due to category-based set size, then the magnitude of forgetting of related objects will increase as the number of practice trials increases. If forgetting is recognition induced, the set size of exemplars from any given category should not be predictive of memory for practiced objects. Consistent with this latter hypothesis, additional practice systematically improved memory for practiced objects, but did not systematically affect forgetting of related objects. These results firmly establish that recognition practice induces forgetting of related memories. Future directions and important real-world applications of using recognition to access our visual memories of previously encountered

Secondary iris recognition method based on local energy-orientation feature

NASA Astrophysics Data System (ADS)

Huo, Guang; Liu, Yuanning; Zhu, Xiaodong; Dong, Hongxing

2015-01-01

This paper proposes a secondary iris recognition based on local features. The application of the energy-orientation feature (EOF) by two-dimensional Gabor filter to the extraction of the iris goes before the first recognition by the threshold of similarity, which sets the whole iris database into two categories-a correctly recognized class and a class to be recognized. Therefore, the former are accepted and the latter are transformed by histogram to achieve an energy-orientation histogram feature (EOHF), which is followed by a second recognition with the chi-square distance. The experiment has proved that the proposed method, because of its higher correct recognition rate, could be designated as the most efficient and effective among its companion studies in iris recognition algorithms.

Recognition and home care of low birth weight neonates: a qualitative study of knowledge, beliefs and practices of mothers in Iganga-Mayuge Health and Demographic Surveillance Site, Uganda

PubMed Central

2014-01-01

Background Neonatal mortality has remained persistently high worldwide. In Uganda, neonatal deaths account for 50% of all infant deaths. Low birth weight is associated with a higher risk of death during the neonatal period. Failure to recognize low birth weight and inappropriate home care practices increase the risk of morbidity and mortality in this high risk group. This study explored mothers’ knowledge, beliefs and practices in recognising and providing home care for low birth weight babies. Methods The study was carried out in Eastern Uganda. In-depth interviews were conducted with sixteen mothers of small babies who delivered in health facilities (10) or at home (6) two months prior to the study. Interviews were conducted in mothers’ homes using the local language. Interviewer notes and audio recordings were transcribed and translated to English. Content analysis was done using Atlas-ti software. Results Recognition of low birth weight by mothers when a baby is not weighed was difficult. Mothers were aware of the causes of low birth weight though some mothers believed in the influence of supernatural powers. Mothers who delivered in hospital had better knowledge of appropriate home care practices for low birth weight babies compared to mothers who delivered at home or in a lower level health facility. Practices related to cord care and keeping the baby warm were good while poor practices were noted concerning initiation and exclusive breast feeding, and bathing the baby. Low birth weight was not appreciated as a danger sign in newborns and therefore mothers did not seek health care. Some mothers who initiated good care practices for low birth weight newborns in the facilities did not sustain them at home. Conclusions Recognition of low birth weight is still poor. This leads to inappropriate home care practices for these high risk newborns. Mothers’ knowledge and care practices can be improved through health education, and this should be extended to the

Young Children's Engagement with Digital Texts and Literacies in the Home: Pressing Matters for the Teaching of English in the Early Years of Schooling

ERIC Educational Resources Information Center

Davidson, Christina

2009-01-01

Research has established young children's increasing use of computers and other new technologies in the home. Yet, teaching about digital texts and digital practices most often appears as an addition to early literacy instruction in classrooms where "business-as-usual" maintains an emphasis on print and print-based texts. This article…

The role of the human hippocampus in familiarity-based and recollection-based recognition memory

PubMed Central

Wixted, John T.; Squire, Larry R.

2010-01-01

The ability to recognize a previously encountered stimulus is dependent on the structures of the medial temporal lobe and is thought to be supported by two processes, recollection and familiarity. A focus of research in recent years concerns the extent to which these two processes depend on the hippocampus and on the other structures of the medial temporal lobe. One view holds that the hippocampus is important for both processes, whereas a different view holds that the hippocampus supports only the recollection process and the perirhinal cortex supports the familiarity process. One approach has been to study patients with hippocampal lesions and to contrast old/new recognition (which can be supported by familiarity) to free recall (which is supported by recollection). Despite some early case studies suggesting otherwise, several group studies have now shown that hippocampal patients exhibit comparable impairments on old/new recognition and free recall. These findings suggest that the hippocampus is important for both recollection and familiarity. Neuroimaging studies and Receiver Operating Characteristic analyses also initially suggested that the hippocampus was specialized for recollection, but these studies involved a strength confound (strong memories have been compared to weak memories). When steps are taken to compare strong recollection-based memories with strong familiarity-based memories, or otherwise control for memory strength, evidence for a familiarity signal (as well as a recollection signal) is evident in the hippocampus. These findings suggest that the functional organization of the medial temporal lobe is probably best understood in terms unrelated to the distinction between recollection and familiarity. PMID:20412819

Implementation of home-based medication order entry at a community hospital.

PubMed

Thorne, Alicia; Williamson, Sarah; Jellison, Tara; Jellison, Chris

2009-11-01

The implementation of a home-based order-entry program at a community hospital is described. Parkview Hospital is a 600-bed, community-based facility located in Fort Wayne, Indiana, that provides 24-hour pharmacy services. The main purpose for establishing a home-based order-entry program was to provide extra pharmacist coverage during the event of a spontaneous order surge in an effort to maintain excellent customer service. A virtual private network (VPN) was created to ensure the security and confidentiality of patients' health care information. The names of volunteer pharmacists who met specific criteria and who were capable of performing home-based order entry were collected. These pharmacists were trained and tested in the home-based order-entry process. When home-based order-entry is needed, the lead pharmacist contacts the pharmacists on the list by telephone. If available, the pharmacists (maximum of three) are notified to log into the Internet, access the VPN, and perform order entry with the same vigilance, confidentiality, and care as they would onsite. Home-based order entry is discontinued when off-trigger points are met. Pharmacists entering orders from home are paid by the time spent conducting order entry. Pharmacists reported that the program was easy to contact home-based order-entry volunteers, there were no problems with logging into the VPNs, and turnaround time was close to our target of 25 minutes. A community-based hospital successfully implemented a home-based medication order-entry program. The program alleviated the shortage of pharmacists during spontaneous surges of medication orders.

Hyperspectral recognition of processing tomato early blight based on GA and SVM

NASA Astrophysics Data System (ADS)

Yin, Xiaojun; Zhao, SiFeng

2013-03-01

Processing tomato early blight seriously affect the yield and quality of its.Determine the leaves spectrum of different disease severity level of processing tomato early blight.We take the sensitive bands of processing tomato early blight as support vector machine input vector.Through the genetic algorithm(GA) to optimize the parameters of SVM, We could recognize different disease severity level of processing tomato early blight.The result show:the sensitive bands of different disease severity levels of processing tomato early blight is 628-643nm and 689-692nm.The sensitive bands are as the GA and SVM input vector.We get the best penalty parameters is 0.129 and kernel function parameters is 3.479.We make classification training and testing by polynomial nuclear,radial basis function nuclear,Sigmoid nuclear.The best classification model is the radial basis function nuclear of SVM. Training accuracy is 84.615%,Testing accuracy is 80.681%.It is combined GA and SVM to achieve multi-classification of processing tomato early blight.It is provided the technical support of prediction processing tomato early blight occurrence, development and diffusion rule in large areas.

A Component-Based Vocabulary-Extensible Sign Language Gesture Recognition Framework.

PubMed

Wei, Shengjing; Chen, Xiang; Yang, Xidong; Cao, Shuai; Zhang, Xu

2016-04-19

Sign language recognition (SLR) can provide a helpful tool for the communication between the deaf and the external world. This paper proposed a component-based vocabulary extensible SLR framework using data from surface electromyographic (sEMG) sensors, accelerometers (ACC), and gyroscopes (GYRO). In this framework, a sign word was considered to be a combination of five common sign components, including hand shape, axis, orientation, rotation, and trajectory, and sign classification was implemented based on the recognition of five components. Especially, the proposed SLR framework consisted of two major parts. The first part was to obtain the component-based form of sign gestures and establish the code table of target sign gesture set using data from a reference subject. In the second part, which was designed for new users, component classifiers were trained using a training set suggested by the reference subject and the classification of unknown gestures was performed with a code matching method. Five subjects participated in this study and recognition experiments under different size of training sets were implemented on a target gesture set consisting of 110 frequently-used Chinese Sign Language (CSL) sign words. The experimental results demonstrated that the proposed framework can realize large-scale gesture set recognition with a small-scale training set. With the smallest training sets (containing about one-third gestures of the target gesture set) suggested by two reference subjects, (82.6 ± 13.2)% and (79.7 ± 13.4)% average recognition accuracy were obtained for 110 words respectively, and the average recognition accuracy climbed up to (88 ± 13.7)% and (86.3 ± 13.7)% when the training set included 50~60 gestures (about half of the target gesture set). The proposed framework can significantly reduce the user's training burden in large-scale gesture recognition, which will facilitate the implementation of a practical SLR system.

42 CFR 440.180 - Home or community-based services.

Code of Federal Regulations, 2010 CFR

2010-10-01

... 42 Public Health 4 2010-10-01 2010-10-01 false Home or community-based services. 440.180 Section 440.180 Public Health CENTERS FOR MEDICARE & MEDICAID SERVICES, DEPARTMENT OF HEALTH AND HUMAN... community-based services. (a) Description and requirements for services. “Home or community-based services...

A Systematic Review of Home-Based Childhood Obesity Prevention Studies

PubMed Central

Fawole, Oluwakemi; Segal, Jodi; Wilson, Renee F.; Cheskin, Lawrence J.; Bleich, Sara N.; Wu, Yang; Lau, Brandyn; Wang, Youfa

2013-01-01

BACKGROUND AND OBJECTIVES: Childhood obesity is a global epidemic. Despite emerging research about the role of the family and home on obesity risk behaviors, the evidence base for the effectiveness of home-based interventions on obesity prevention remains uncertain. The objective was to systematically review the effectiveness of home-based interventions on weight, intermediate (eg, diet and physical activity [PA]), and clinical outcomes. METHODS: We searched Medline, Embase, PsychInfo, CINAHL, clinicaltrials.gov, and the Cochrane Library from inception through August 11, 2012. We included experimental and natural experimental studies with ≥1-year follow-up reporting weight-related outcomes and targeting children at home. Two independent reviewers screened studies and extracted data. We graded the strength of the evidence supporting interventions targeting diet, PA, or both for obesity prevention. RESULTS: We identified 6 studies; 3 tested combined interventions (diet and PA), 1 used diet intervention, 1 combined intervention with primary care and consumer health informatics components, and 1 combined intervention with school and community components. Select combined interventions had beneficial effects on fruit/vegetable intake and sedentary behaviors. However, none of the 6 studies reported a significant effect on weight outcomes. Overall, the strength of evidence is low that combined home-based interventions effectively prevent obesity. The evidence is insufficient for conclusions about home-based diet interventions or interventions implemented at home in association with other settings. CONCLUSIONS: The strength of evidence is low to support the effectiveness of home-based child obesity prevention programs. Additional research is needed to test interventions in the home setting, particularly those incorporating parenting strategies and addressing environmental influences. PMID:23753095

Smart sensor for terminal homing

NASA Astrophysics Data System (ADS)

Panda, D.; Aggarwal, R.; Hummel, R.

1980-01-01

The practical scene matching problem is considered to present certain complications which must extend classical image processing capabilities. Certain aspects of the scene matching problem which must be addressed by a smart sensor for terminal homing are discussed. First a philosophy for treating the matching problem for the terminal homing scenario is outlined. Then certain aspects of the feature extraction process and symbolic pattern matching are considered. It is thought that in the future general ideas from artificial intelligence will be more useful for terminal homing requirements of fast scene recognition and pattern matching.

A comparison of home care clients and nursing home residents: can community based care keep the elderly and disabled at home?

PubMed

Shugarman, L R; Fries, B E; James, M

1999-01-01

Admission cohorts from the Michigan Medicaid Home and Community-Based Waiver program and Ohio nursing homes were compared on measures of resource utilization including a modified Resource Utilization Groups (RUG-III) system, Activities of Daily Living (ADLs), and overall case mix. We found that, contrary to previous research, the two samples were remarkably similar across RUG-III categories. However, the nursing home sample was more functionally impaired on measures of ADL functioning and overall case mix. Results of this study may inform policymakers and providers of the potential for maintaining the appropriate population in the home with government-funded home care.

Component-based target recognition inspired by human vision

NASA Astrophysics Data System (ADS)

Zheng, Yufeng; Agyepong, Kwabena

2009-05-01

In contrast with machine vision, human can recognize an object from complex background with great flexibility. For example, given the task of finding and circling all cars (no further information) in a picture, you may build a virtual image in mind from the task (or target) description before looking at the picture. Specifically, the virtual car image may be composed of the key components such as driver cabin and wheels. In this paper, we propose a component-based target recognition method by simulating the human recognition process. The component templates (equivalent to the virtual image in mind) of the target (car) are manually decomposed from the target feature image. Meanwhile, the edges of the testing image can be extracted by using a difference of Gaussian (DOG) model that simulates the spatiotemporal response in visual process. A phase correlation matching algorithm is then applied to match the templates with the testing edge image. If all key component templates are matched with the examining object, then this object is recognized as the target. Besides the recognition accuracy, we will also investigate if this method works with part targets (half cars). In our experiments, several natural pictures taken on streets were used to test the proposed method. The preliminary results show that the component-based recognition method is very promising.

Simulation of Smart Home Activity Datasets

PubMed Central

Synnott, Jonathan; Nugent, Chris; Jeffers, Paul

2015-01-01

A globally ageing population is resulting in an increased prevalence of chronic conditions which affect older adults. Such conditions require long-term care and management to maximize quality of life, placing an increasing strain on healthcare resources. Intelligent environments such as smart homes facilitate long-term monitoring of activities in the home through the use of sensor technology. Access to sensor datasets is necessary for the development of novel activity monitoring and recognition approaches. Access to such datasets is limited due to issues such as sensor cost, availability and deployment time. The use of simulated environments and sensors may address these issues and facilitate the generation of comprehensive datasets. This paper provides a review of existing approaches for the generation of simulated smart home activity datasets, including model-based approaches and interactive approaches which implement virtual sensors, environments and avatars. The paper also provides recommendation for future work in intelligent environment simulation. PMID:26087371

Simulation of Smart Home Activity Datasets.

PubMed

Synnott, Jonathan; Nugent, Chris; Jeffers, Paul

2015-06-16

A globally ageing population is resulting in an increased prevalence of chronic conditions which affect older adults. Such conditions require long-term care and management to maximize quality of life, placing an increasing strain on healthcare resources. Intelligent environments such as smart homes facilitate long-term monitoring of activities in the home through the use of sensor technology. Access to sensor datasets is necessary for the development of novel activity monitoring and recognition approaches. Access to such datasets is limited due to issues such as sensor cost, availability and deployment time. The use of simulated environments and sensors may address these issues and facilitate the generation of comprehensive datasets. This paper provides a review of existing approaches for the generation of simulated smart home activity datasets, including model-based approaches and interactive approaches which implement virtual sensors, environments and avatars. The paper also provides recommendation for future work in intelligent environment simulation.

Blood perfusion construction for infrared face recognition based on bio-heat transfer.

PubMed

Xie, Zhihua; Liu, Guodong

2014-01-01

To improve the performance of infrared face recognition for time-lapse data, a new construction of blood perfusion is proposed based on bio-heat transfer. Firstly, by quantifying the blood perfusion based on Pennes equation, the thermal information is converted into blood perfusion rate, which is stable facial biological feature of face image. Then, the separability discriminant criterion in Discrete Cosine Transform (DCT) domain is applied to extract the discriminative features of blood perfusion information. Experimental results demonstrate that the features of blood perfusion are more concentrative and discriminative for recognition than those of thermal information. The infrared face recognition based on the proposed blood perfusion is robust and can achieve better recognition performance compared with other state-of-the-art approaches.

Fast traffic sign recognition with a rotation invariant binary pattern based feature.

PubMed

Yin, Shouyi; Ouyang, Peng; Liu, Leibo; Guo, Yike; Wei, Shaojun

2015-01-19

Robust and fast traffic sign recognition is very important but difficult for safe driving assistance systems. This study addresses fast and robust traffic sign recognition to enhance driving safety. The proposed method includes three stages. First, a typical Hough transformation is adopted to implement coarse-grained location of the candidate regions of traffic signs. Second, a RIBP (Rotation Invariant Binary Pattern) based feature in the affine and Gaussian space is proposed to reduce the time of traffic sign detection and achieve robust traffic sign detection in terms of scale, rotation, and illumination. Third, the techniques of ANN (Artificial Neutral Network) based feature dimension reduction and classification are designed to reduce the traffic sign recognition time. Compared with the current work, the experimental results in the public datasets show that this work achieves robustness in traffic sign recognition with comparable recognition accuracy and faster processing speed, including training speed and recognition speed.

Readiness for Meaningful Use of Health Information Technology and Patient Centered Medical Home Recognition Survey Results

PubMed Central

Shin, Peter; Sharac, Jessica

2013-01-01

Objective Determine the factors that impact HIT use and MU readiness for community health centers (CHCs). Background The HITECH Act allocates funds to Medicaid and Medicare providers to encourage the adoption of electronic health records (EHR), in an effort to improve health care quality and patient outcomes, and to reduce health care costs. Methods We surveyed CHCs on their Readiness for Meaningful Use (MU) of Health Information Technology (HIT) and Patient Centered Medical Home (PCMH) Recognition, then we combined responses with 2009 Uniform Data System data to determine which factors impact use of HIT and MU readiness. Results Nearly 70% of CHCs had full or partial EHR adoption at the time of survey. Results are presented for centers with EHR adoption, by the length of time that their EHR systems have been in operation. PMID:24834365

Volume of home- and community-based services and time to nursing-home placement.

PubMed

Sands, Laura P; Xu, Huiping; Thomas, Joseph; Paul, Sudeshna; Craig, Bruce A; Rosenman, Marc; Doebbeling, Caroline C; Weiner, Michael

2012-01-01

The purpose of this study was to determine whether the volume of Home- and Community-Based Services (HCBS) that target Activities of Daily Living disabilities, such as attendant care, homemaking services, and home-delivered meals, increases recipients' risk of transitioning from long-term care provided through HCBS to long-term care provided in a nursing home. Data are from the Indiana Medicaid enrollment, claims, and Insite databases. Insite is the software system that was developed for collecting and reporting data for In-Home Service Programs. Enrollees in Indiana Medicaid's Aged and Disabled Waiver program were followed forward from time of enrollment to assess the association between the volume of attendant care, homemaking services, home-delivered meals, and related covariates, and the risk for nursing-home placement. An extension of the Cox proportional hazard model was computed to determine the cumulative hazard of nursing-home placement in the presence of death as a competing risk. Of the 1354 Medicaid HCBS recipients followed in this study, 17% did not receive any attendant care, homemaking services, or home-delivered meals. Among recipients who survived through 24 months after enrollment, one in five transitioned from HCBS to a nursing-home. Risk for nursing-home placement was significantly lower for each five-hour increment in personal care (HR=0.95, 95% CI=0.92-0.98) and homemaking services (HR=0.87, 95% CI=0.77-0.99). Future policies and practices that are focused on optimizing long-term care outcomes should consider that a greater volume of HCBS for an individual is associated with reduced risk of nursing-home placement.

[Hospital at home: assessment of early discharge in terms of patients mortality and satisfaction].

PubMed

Damiani, G; Pinnarelli, L; Ricciardi, G

2006-01-01

New organizational models are essentials for European Hospitals because of restraining budget and ageing of population. Hospital at home is an alternative to inpatient care, effective both in clinical and economic ground. The aim of our study was to evaluate the impact of Hospital at Home in terms of decreased mortality and patient satisfaction. We carried out a meta-analysis of the literature about hospital at home interventions. We searched Medline (to December 2002), the Cochrane Controlled Trials Register (to October 2002) and other bibliographical databases, with a supplementary handsearching of literature. We used the following keywords: hospital at home, home hospitalization, mortality, patient satisfaction, cost, acute hospital care, conventional hospitalization. We included studies respecting the following criteria: analytical or experimental studies aimed at compare early discharge to hospital at home and continued care in an acute hospital. Review Manager 4.2 software was used to collect data and perform statistical analysis. We found 2420 articles searching for the chosen keywords. Twelve studies (2048 patients) were included for death outcome and six studies (1382 patients) were included for satisfaction outcome. The selected studies indicated a greater effect size of patient satisfaction in home patients than hospitalized ones (Odds Ratio: 1.58 95% CI: 1.25, 2.00) and showed no difference in terms of mortality (Risk Difference: -0.01 95% CI: -0.03, 0.02). Our results underline the effectiveness of this organizational model, as an alternative to continued care in an acute hospital. Further useful considerations could be drawn by economic evaluation studies carried out on field.

Application of image recognition-based automatic hyphae detection in fungal keratitis.

PubMed

Wu, Xuelian; Tao, Yuan; Qiu, Qingchen; Wu, Xinyi

2018-03-01

The purpose of this study is to evaluate the accuracy of two methods in diagnosis of fungal keratitis, whereby one method is automatic hyphae detection based on images recognition and the other method is corneal smear. We evaluate the sensitivity and specificity of the method in diagnosis of fungal keratitis, which is automatic hyphae detection based on image recognition. We analyze the consistency of clinical symptoms and the density of hyphae, and perform quantification using the method of automatic hyphae detection based on image recognition. In our study, 56 cases with fungal keratitis (just single eye) and 23 cases with bacterial keratitis were included. All cases underwent the routine inspection of slit lamp biomicroscopy, corneal smear examination, microorganism culture and the assessment of in vivo confocal microscopy images before starting medical treatment. Then, we recognize the hyphae images of in vivo confocal microscopy by using automatic hyphae detection based on image recognition to evaluate its sensitivity and specificity and compare with the method of corneal smear. The next step is to use the index of density to assess the severity of infection, and then find the correlation with the patients' clinical symptoms and evaluate consistency between them. The accuracy of this technology was superior to corneal smear examination (p < 0.05). The sensitivity of the technology of automatic hyphae detection of image recognition was 89.29%, and the specificity was 95.65%. The area under the ROC curve was 0.946. The correlation coefficient between the grading of the severity in the fungal keratitis by the automatic hyphae detection based on image recognition and the clinical grading is 0.87. The technology of automatic hyphae detection based on image recognition was with high sensitivity and specificity, able to identify fungal keratitis, which is better than the method of corneal smear examination. This technology has the advantages when compared with

LESSONS LEARNED AND NEXT STEPS FOR BUILDING KNOWLEDGE ABOUT TRIBAL MATERNAL, INFANT, AND EARLY CHILDHOOD HOME VISITING.

PubMed

Whitmore, Corrie B; Sarche, Michelle; Ferron, Cathy; Moritsugu, John; Sanchez, Jenae G

2018-05-16

Authors in this Special Issue of the Infant Mental Health Journal shared the work of the first three cohorts of Tribal Maternal, Infant, and Early Childhood Home Visiting (MIECHV) grantees funded by the Administration for Children and Families. Since 2010, Tribal MIECHV grantees have served families and children prenatally to kindergarten entry in American Indian and Alaska Native (AI/AN) communities across the lower 48 United States and Alaska. Articles highlighted challenges and opportunities that arose as grantees adapted, enhanced, implemented, and evaluated their home-visiting models. This article summarizes nine lessons learned across the articles in this Special Issue. Lessons learned address the importance of strengths-based approaches, relationship-building, tribal community stakeholder involvement, capacity-building, alignment of resources and expectations, tribal values, adaptation to increase cultural and contextual attunement, indigenous ways of knowing, community voice, and sustainability. Next steps in Tribal MIECHV are discussed in light of these lessons learned. © 2018 Michigan Association for Infant Mental Health.

Home-based infusion therapy for patients with Fabry disease.

PubMed

Cousins, A; Lee, P; Rorman, D; Raas-Rothschild, A; Banikazemi, M; Waldek, S; Thompson, L

Fabry disease is an inherited, progressive, life-threatening disease; therefore, lifelong therapy is needed. By replacing the deficient enzyme, disease progression may be delayed or halted, thereby avoiding serious complications. Hospital-based agalsidase therapy is generally perceived as inconvenient and home-based infusion therapy is greatly appreciated by patients, their families and healthcare professionals. Patients can get familiar with infusion therapy in a hospital setting and, if specific requirements are fulfilled, routine nurse-assisted infusion, or self-care, at the patient's home can be organized. A stable patient who tolerates the infusion and a suitable home environment are prerequisites for home therapy. The authors' clinical experiences underscore the safety and practicality of home therapy. In addition to a major positive impact on the patient's quality of life, home infusion therapy may reduce the constraints of hospital resources. This article reviews the collective experiences with agalsidase beta home infusion therapy and outlines how safe, patient-centred homecare can be organized. Home infusion therapy with Fabrazyme should not be withheld from patients considered eligible according to the proposed criteria. Similar approaches to other enzyme therapies are also possible.

Infant Visual Recognition Memory

ERIC Educational Resources Information Center

Rose, Susan A.; Feldman, Judith F.; Jankowski, Jeffery J.

2004-01-01

Visual recognition memory is a robust form of memory that is evident from early infancy, shows pronounced developmental change, and is influenced by many of the same factors that affect adult memory; it is surprisingly resistant to decay and interference. Infant visual recognition memory shows (a) modest reliability, (b) good discriminant…

Nurse led home-based care for people with HIV/AIDS.

PubMed

Wood, Elizabeth M; Zani, Babalwa; Esterhuizen, Tonya M; Young, Taryn

2018-03-27

Home-based care is used in many countries to increase quality of life and limit hospital stay, particularly where public health services are overburdened. Home-based care objectives for HIV/AIDS can include medical care, delivery of antiretroviral treatment and psychosocial support. This review assesses the effects of home-based nursing on morbidity in people infected with HIV/AIDS. The trials studied are in HIV positive adults and children, regardless of sex or setting and all randomised controlled. Home-based care provided by qualified nurses was compared with hospital or health-facility based treatment. The following electronic databases were searched from January 1980 to March 2015: AIDSearch, CINAHL, Cochrane Register of Controlled Trials, EMBASE, MEDLINE and PsycINFO/LIT, with an updated search in November 2016. Two authors independently screened titles and abstracts from the electronic search based on the study design, interventions and types of participant. For all selected abstracts, full text articles were obtained. The final study selection was determined with use of an eligibility form. Data extraction was performed independently from assessment of risk of bias. The results were analysed by narrative synthesis, in order to be able to obtain relevant effect measures plus 95% confidence intervals. Seven studies met the inclusion criteria. The trial size varied from 37 to 238 participants. Only one trial was conducted in children. Five studies were conducted in the USA and two in China. Four studies looked at home-based adherence support and the rest at providing home-based psychosocial support. Reported adherence to antiretroviral drugs improved with nurse-led home-based care but did not affect viral load. Psychiatric nurse support in those with existing mental health conditions improved mental health and depressive symptoms. Home-based psychological support impacted on HIV stigma, worry and physical functioning and in certain cases depressive symptoms

Molecular Recognition: Detection of Colorless Compounds Based on Color Change

ERIC Educational Resources Information Center

Khalafi, Lida; Kashani, Samira; Karimi, Javad

2016-01-01

A laboratory experiment is described in which students measure the amount of cetirizine in allergy-treatment tablets based on molecular recognition. The basis of recognition is competition of cetirizine with phenolphthalein to form an inclusion complex with ß-cyclodextrin. Phenolphthalein is pinkish under basic condition, whereas it's complex form…

Improving human activity recognition and its application in early stroke diagnosis.

PubMed

Villar, José R; González, Silvia; Sedano, Javier; Chira, Camelia; Trejo-Gabriel-Galan, Jose M

2015-06-01

The development of efficient stroke-detection methods is of significant importance in today's society due to the effects and impact of stroke on health and economy worldwide. This study focuses on Human Activity Recognition (HAR), which is a key component in developing an early stroke-diagnosis tool. An overview of the proposed global approach able to discriminate normal resting from stroke-related paralysis is detailed. The main contributions include an extension of the Genetic Fuzzy Finite State Machine (GFFSM) method and a new hybrid feature selection (FS) algorithm involving Principal Component Analysis (PCA) and a voting scheme putting the cross-validation results together. Experimental results show that the proposed approach is a well-performing HAR tool that can be successfully embedded in devices.

Fast Traffic Sign Recognition with a Rotation Invariant Binary Pattern Based Feature

PubMed Central

Yin, Shouyi; Ouyang, Peng; Liu, Leibo; Guo, Yike; Wei, Shaojun

2015-01-01

Robust and fast traffic sign recognition is very important but difficult for safe driving assistance systems. This study addresses fast and robust traffic sign recognition to enhance driving safety. The proposed method includes three stages. First, a typical Hough transformation is adopted to implement coarse-grained location of the candidate regions of traffic signs. Second, a RIBP (Rotation Invariant Binary Pattern) based feature in the affine and Gaussian space is proposed to reduce the time of traffic sign detection and achieve robust traffic sign detection in terms of scale, rotation, and illumination. Third, the techniques of ANN (Artificial Neutral Network) based feature dimension reduction and classification are designed to reduce the traffic sign recognition time. Compared with the current work, the experimental results in the public datasets show that this work achieves robustness in traffic sign recognition with comparable recognition accuracy and faster processing speed, including training speed and recognition speed. PMID:25608217

Infrared face recognition based on LBP histogram and KW feature selection

NASA Astrophysics Data System (ADS)

Xie, Zhihua

2014-07-01

The conventional LBP-based feature as represented by the local binary pattern (LBP) histogram still has room for performance improvements. This paper focuses on the dimension reduction of LBP micro-patterns and proposes an improved infrared face recognition method based on LBP histogram representation. To extract the local robust features in infrared face images, LBP is chosen to get the composition of micro-patterns of sub-blocks. Based on statistical test theory, Kruskal-Wallis (KW) feature selection method is proposed to get the LBP patterns which are suitable for infrared face recognition. The experimental results show combination of LBP and KW features selection improves the performance of infrared face recognition, the proposed method outperforms the traditional methods based on LBP histogram, discrete cosine transform(DCT) or principal component analysis(PCA).

42 CFR 436.217 - Individuals receiving home and community-based services.

Code of Federal Regulations, 2012 CFR

2012-10-01

... 42 Public Health 4 2012-10-01 2012-10-01 false Individuals receiving home and community-based... receiving home and community-based services. The agency may provide Medicaid to any group or groups of... if institutionalized. (b) In the absence of home and community-based services under a waiver granted...

42 CFR 436.217 - Individuals receiving home and community-based services.

Code of Federal Regulations, 2013 CFR

2013-10-01

... 42 Public Health 4 2013-10-01 2013-10-01 false Individuals receiving home and community-based... receiving home and community-based services. The agency may provide Medicaid to any group or groups of... if institutionalized. (b) In the absence of home and community-based services under a waiver granted...

42 CFR 436.217 - Individuals receiving home and community-based services.

Code of Federal Regulations, 2011 CFR

2011-10-01

... 42 Public Health 4 2011-10-01 2011-10-01 false Individuals receiving home and community-based... receiving home and community-based services. The agency may provide Medicaid to any group or groups of... if institutionalized. (b) In the absence of home and community-based services under a waiver granted...

42 CFR 435.217 - Individuals receiving home and community-based services.

Code of Federal Regulations, 2011 CFR

2011-10-01

... 42 Public Health 4 2011-10-01 2011-10-01 false Individuals receiving home and community-based... receiving home and community-based services. The agency may provide Medicaid to any group or groups of... if institutionalized. (b) In the absence of home and community-based services under a waiver granted...

42 CFR 435.217 - Individuals receiving home and community-based services.

Code of Federal Regulations, 2012 CFR

2012-10-01

... 42 Public Health 4 2012-10-01 2012-10-01 false Individuals receiving home and community-based... receiving home and community-based services. The agency may provide Medicaid to any group or groups of... if institutionalized. (b) In the absence of home and community-based services under a waiver granted...

42 CFR 435.217 - Individuals receiving home and community-based services.

Code of Federal Regulations, 2010 CFR

2010-10-01

... 42 Public Health 4 2010-10-01 2010-10-01 false Individuals receiving home and community-based... receiving home and community-based services. The agency may provide Medicaid to any group or groups of... if institutionalized. (b) In the absence of home and community-based services under a waiver granted...

Robust Face Recognition via Multi-Scale Patch-Based Matrix Regression.

PubMed

Gao, Guangwei; Yang, Jian; Jing, Xiaoyuan; Huang, Pu; Hua, Juliang; Yue, Dong

2016-01-01

In many real-world applications such as smart card solutions, law enforcement, surveillance and access control, the limited training sample size is the most fundamental problem. By making use of the low-rank structural information of the reconstructed error image, the so-called nuclear norm-based matrix regression has been demonstrated to be effective for robust face recognition with continuous occlusions. However, the recognition performance of nuclear norm-based matrix regression degrades greatly in the face of the small sample size problem. An alternative solution to tackle this problem is performing matrix regression on each patch and then integrating the outputs from all patches. However, it is difficult to set an optimal patch size across different databases. To fully utilize the complementary information from different patch scales for the final decision, we propose a multi-scale patch-based matrix regression scheme based on which the ensemble of multi-scale outputs can be achieved optimally. Extensive experiments on benchmark face databases validate the effectiveness and robustness of our method, which outperforms several state-of-the-art patch-based face recognition algorithms.

Iris double recognition based on modified evolutionary neural network

NASA Astrophysics Data System (ADS)

Liu, Shuai; Liu, Yuan-Ning; Zhu, Xiao-Dong; Huo, Guang; Liu, Wen-Tao; Feng, Jia-Kai

2017-11-01

Aiming at multicategory iris recognition under illumination and noise interference, this paper proposes a method of iris double recognition based on a modified evolutionary neural network. An equalization histogram and Laplace of Gaussian operator are used to process the iris to suppress illumination and noise interference and Haar wavelet to convert the iris feature to binary feature encoding. Calculate the Hamming distance for the test iris and template iris , and compare with classification threshold, determine the type of iris. If the iris cannot be identified as a different type, there needs to be a secondary recognition. The connection weights in back-propagation (BP) neural network use modified evolutionary neural network to adaptively train. The modified neural network is composed of particle swarm optimization with mutation operator and BP neural network. According to different iris libraries in different circumstances of experimental results, under illumination and noise interference, the correct recognition rate of this algorithm is higher, the ROC curve is closer to the coordinate axis, the training and recognition time is shorter, and the stability and the robustness are better.

Pattern recognition tool based on complex network-based approach

NASA Astrophysics Data System (ADS)

Casanova, Dalcimar; Backes, André Ricardo; Martinez Bruno, Odemir

2013-02-01

This work proposed a generalization of the method proposed by the authors: 'A complex network-based approach for boundary shape analysis'. Instead of modelling a contour into a graph and use complex networks rules to characterize it, here, we generalize the technique. This way, the work proposes a mathematical tool for characterization signals, curves and set of points. To evaluate the pattern description power of the proposal, an experiment of plat identification based on leaf veins image are conducted. Leaf vein is a taxon characteristic used to plant identification proposes, and one of its characteristics is that these structures are complex, and difficult to be represented as a signal or curves and this way to be analyzed in a classical pattern recognition approach. Here, we model the veins as a set of points and model as graphs. As features, we use the degree and joint degree measurements in a dynamic evolution. The results demonstrates that the technique has a good power of discrimination and can be used for plant identification, as well as other complex pattern recognition tasks.

Relevance feedback-based building recognition

NASA Astrophysics Data System (ADS)

Li, Jing; Allinson, Nigel M.

2010-07-01

Building recognition is a nontrivial task in computer vision research which can be utilized in robot localization, mobile navigation, etc. However, existing building recognition systems usually encounter the following two problems: 1) extracted low level features cannot reveal the true semantic concepts; and 2) they usually involve high dimensional data which require heavy computational costs and memory. Relevance feedback (RF), widely applied in multimedia information retrieval, is able to bridge the gap between the low level visual features and high level concepts; while dimensionality reduction methods can mitigate the high-dimensional problem. In this paper, we propose a building recognition scheme which integrates the RF and subspace learning algorithms. Experimental results undertaken on our own building database show that the newly proposed scheme appreciably enhances the recognition accuracy.

Strength-based criterion shifts in recognition memory.

PubMed

Singer, Murray

2009-10-01

In manipulations of stimulus strength between lists, a more lenient signal detection criterion is more frequently applied to a weak than to a strong stimulus class. However, with randomly intermixed weak and strong test probes, such a criterion shift often does not result. A procedure that has yielded delay-based within-list criterion shifts was applied to strength manipulations in recognition memory for categorized word lists. When participants made semantic ratings about each stimulus word, strength-based criterion shifts emerged regardless of whether words from pairs of categories were studied in separate blocks (Experiment 1) or in intermixed blocks (Experiment 2). In Experiment 3, the criterion shift persisted under the semantic-rating study task, but not under rote memorization. These findings suggest that continually adjusting the recognition decision criterion is cognitively feasible. They provide a technique for manipulating the criterion shift, and they identify competing theoretical accounts of these effects.

Appearance-Based Facial Recognition Using Visible and Thermal Imagery: A Comparative Study

DTIC Science & Technology

2006-01-01

Appearance-Based Facial Recognition Using Visible and Thermal Imagery: A Comparative Study ∗ Andrea Selinger† Diego A. Socolinsky‡ †Equinox...TYPE 3. DATES COVERED 00-00-2006 to 00-00-2006 4. TITLE AND SUBTITLE Appearance-Based Facial Recognition Using Visible and Thermal Imagery: A

Enhanced iris recognition method based on multi-unit iris images

NASA Astrophysics Data System (ADS)

Shin, Kwang Yong; Kim, Yeong Gon; Park, Kang Ryoung

2013-04-01

For the purpose of biometric person identification, iris recognition uses the unique characteristics of the patterns of the iris; that is, the eye region between the pupil and the sclera. When obtaining an iris image, the iris's image is frequently rotated because of the user's head roll toward the left or right shoulder. As the rotation of the iris image leads to circular shifting of the iris features, the accuracy of iris recognition is degraded. To solve this problem, conventional iris recognition methods use shifting of the iris feature codes to perform the matching. However, this increases the computational complexity and level of false acceptance error. To solve these problems, we propose a novel iris recognition method based on multi-unit iris images. Our method is novel in the following five ways compared with previous methods. First, to detect both eyes, we use Adaboost and a rapid eye detector (RED) based on the iris shape feature and integral imaging. Both eyes are detected using RED in the approximate candidate region that consists of the binocular region, which is determined by the Adaboost detector. Second, we classify the detected eyes into the left and right eyes, because the iris patterns in the left and right eyes in the same person are different, and they are therefore considered as different classes. We can improve the accuracy of iris recognition using this pre-classification of the left and right eyes. Third, by measuring the angle of head roll using the two center positions of the left and right pupils, detected by two circular edge detectors, we obtain the information of the iris rotation angle. Fourth, in order to reduce the error and processing time of iris recognition, adaptive bit-shifting based on the measured iris rotation angle is used in feature matching. Fifth, the recognition accuracy is enhanced by the score fusion of the left and right irises. Experimental results on the iris open database of low-resolution images showed that the

Cough Recognition Based on Mel Frequency Cepstral Coefficients and Dynamic Time Warping

NASA Astrophysics Data System (ADS)

Zhu, Chunmei; Liu, Baojun; Li, Ping

Cough recognition provides important clinical information for the treatment of many respiratory diseases, but the assessment of cough frequency over a long period of time remains unsatisfied for either clinical or research purpose. In this paper, according to the advantage of dynamic time warping (DTW) and the characteristic of cough recognition, an attempt is made to adapt DTW as the recognition algorithm for cough recognition. The process of cough recognition based on mel frequency cepstral coefficients (MFCC) and DTW is introduced. Experiment results of testing samples from 3 subjects show that acceptable performances of cough recognition are obtained by DTW with a small training set.

Nebraska: Early Head Start Initiative

ERIC Educational Resources Information Center

Center for Law and Social Policy, Inc. (CLASP), 2012

2012-01-01

Since 1999, Nebraska's Early Head Start Infant/Toddler Quality Initiative has supported Early Head Start (EHS) and community child care partnerships to improve the quality and professionalism of infant and toddler care. EHS programs apply to receive funding to establish partnerships with center-based or home-based child care.The initiative has…

Racial/Ethnic Differences in Kindergartners' Reading and Math Skills: Parents' Knowledge of Children's Development and Home-Based Activities as Mediators

ERIC Educational Resources Information Center

Sonnenschein, Susan; Sun, Shuyan

2017-01-01

Despite the growing body of research on parents' beliefs and practices, relatively little is known about the relations between parents' knowledge of children's development, home-based activities, and children's early reading and math skills. This study used data from the Early Childhood Longitudinal Study-Birth Cohort to examine the differences in…

Convolutional Neural Network-Based Finger-Vein Recognition Using NIR Image Sensors.

PubMed

Hong, Hyung Gil; Lee, Min Beom; Park, Kang Ryoung

2017-06-06

Conventional finger-vein recognition systems perform recognition based on the finger-vein lines extracted from the input images or image enhancement, and texture feature extraction from the finger-vein images. In these cases, however, the inaccurate detection of finger-vein lines lowers the recognition accuracy. In the case of texture feature extraction, the developer must experimentally decide on a form of the optimal filter for extraction considering the characteristics of the image database. To address this problem, this research proposes a finger-vein recognition method that is robust to various database types and environmental changes based on the convolutional neural network (CNN). In the experiments using the two finger-vein databases constructed in this research and the SDUMLA-HMT finger-vein database, which is an open database, the method proposed in this research showed a better performance compared to the conventional methods.

Multi-layer sparse representation for weighted LBP-patches based facial expression recognition.

PubMed

Jia, Qi; Gao, Xinkai; Guo, He; Luo, Zhongxuan; Wang, Yi

2015-03-19

In this paper, a novel facial expression recognition method based on sparse representation is proposed. Most contemporary facial expression recognition systems suffer from limited ability to handle image nuisances such as low resolution and noise. Especially for low intensity expression, most of the existing training methods have quite low recognition rates. Motivated by sparse representation, the problem can be solved by finding sparse coefficients of the test image by the whole training set. Deriving an effective facial representation from original face images is a vital step for successful facial expression recognition. We evaluate facial representation based on weighted local binary patterns, and Fisher separation criterion is used to calculate the weighs of patches. A multi-layer sparse representation framework is proposed for multi-intensity facial expression recognition, especially for low-intensity expressions and noisy expressions in reality, which is a critical problem but seldom addressed in the existing works. To this end, several experiments based on low-resolution and multi-intensity expressions are carried out. Promising results on publicly available databases demonstrate the potential of the proposed approach.

Neuropsychological Profile and Dementia Symptom Recognition in Help-Seekers in a Community Early-Detection Program in Hong Kong.

PubMed

Tang, Jennifer Y-M; Wong, Gloria H-Y; Ng, Carmen K-M; Kwok, Dorothy T-S; Lee, Maggie N-Y; Dai, David L-K; Lum, Terry Y-S

2016-03-01

To examine the neuropsychological and clinical profile of help-seekers in an early-detection community dementia program and to explore any relationship between profiles and time to seek help. Cross-sectional. Early-detection community dementia program. Help-seekers (N = 1,005) with subjective cognitive complaints or complaints from an informant. Neurocognitive testing, including the Cantonese Mini-Mental State Examination (MMSE), Clock Drawing Test, Digit Span, and Fuld Object Memory Evaluation and other clinical and functioning assessments, including the Clinical Dementia Rating (CDR), activities of daily living (ADLs), instrumental ADLs (IADLs), and depressive symptoms. Time since the person or an informant reported that they first noticed symptoms. Eighty-six percent of help-seekers had at least very mild dementia (CDR score ≥0.5). Cognitive performance was moderately impaired (mean MMSE score 18.4 ± 6.1). They required some assistance with IADLs, had very mild ADL impairments, and had few depressive symptoms. Median time to seek assessment was 12 months (interquartile range 7-30 months) according to the person or the informant (an adult child in 75% of the sample). Using the median-split method, time to seek assessment was classified as early (0-12 months) and late (>12 months). Worse cognitive and IADL performance but not ADL performance or depressive symptoms were observed in late than in early help-seekers. Longer time intervals between symptom recognition and early assessment showed a trend of further impairments on all measures except ADLs. A time interval of more than 12 months between symptom recognition and early assessment appears to be associated with worse cognitive function upon presentation. © 2016, Copyright the Authors Journal compilation © 2016, The American Geriatrics Society.