Preferable home environment for the independent elderly to prevent falls and maintain activities of daily living

2020 ◽  
pp. 60-68
Author(s):  
Satoshi Muraki
Keyword(s):  
Activities Of Daily Living ◽  
Home Environment ◽  
Daily Living ◽  
Independent Elderly

scholarly journals An Entropy-Based Approach for Anomaly Detection in Activities of Daily Living in the Presence of a Visitor

Entropy ◽  
2020 ◽  
Vol 22 (8) ◽  
pp. 845 ◽  
Author(s):  
Aadel Howedi ◽  
Ahmad Lotfi ◽  
Amir Pourabdollah
Keyword(s):  
Anomaly Detection ◽  
Activities Of Daily Living ◽  
Home Environment ◽  
Health Care Workers ◽  
Daily Living ◽  
Healthcare Management ◽  
Entropy Measure ◽  
Care Workers ◽  
Entropy Measures ◽  
Measure Analysis

This paper presents anomaly detection in activities of daily living based on entropy measures. It is shown that the proposed approach will identify anomalies when there are visitors representing a multi-occupant environment. Residents often receive visits from family members or health care workers. Therefore, the residents’ activity is expected to be different when there is a visitor, which could be considered as an abnormal activity pattern. Identifying anomalies is essential for healthcare management, as this will enable action to avoid prospective problems early and to improve and support residents’ ability to live safely and independently in their own homes. Entropy measure analysis is an established method to detect disorder or irregularities in many applications: however, this has rarely been applied in the context of activities of daily living. An experimental evaluation is conducted to detect anomalies obtained from a real home environment. Experimental results are presented to demonstrate the effectiveness of the entropy measures employed in detecting anomalies in the resident’s activity and identifying visiting times in the same environment.

scholarly journals A DSL-Based Approach for Detecting Activities of Daily Living by Means of the AGGIR Variables

Sensors ◽  
2021 ◽  
Vol 21 (16) ◽  
pp. 5674
Author(s):  
José Manuel Negrete Ramírez ◽  
Philippe Roose ◽  
Marc Dalmau ◽  
Yudith Cardinale ◽  
Edgar Silva
Keyword(s):  
Activities Of Daily Living ◽  
Home Environment ◽  
Daily Living ◽  
Smart Home ◽  
Daily Activities ◽  
Domain Specific Language ◽  
Analysis Tool ◽  
Disabled People ◽  
Domain Specific ◽  
Event Information

In this paper, we propose a framework for studying the AGGIR (Autonomie Gérontologique et Groupe Iso Ressources—Autonomy Gerontology Iso-Resources Groups) grid model, with the aim of assessing the level of independence of elderly people in accordance with their capabilities of performing daily activities as well as interacting with their environments. In order to model the Activities of Daily Living (ADL), we extend a previously proposed Domain Specific Language (DSL), by defining new operators to deal with constraints related to time and location of activities and event recognition. The proposed framework aims at providing an analysis tool regarding the performance of elderly/disabled people within a home environment by means of data recovered from sensors using a smart-home simulator environment. We perform an evaluation of our framework in several scenarios, considering five of the AGGIR variables (i.e., feeding, dressing, toileting, elimination, and transfers) as well as health-care devices for tracking the occurrence of elderly activities. The results demonstrate the accuracy of the proposed framework for managing the tracked records correctly and, thus, generate the appropriate event information related to the ADL.

scholarly journals Validating a test battery of activities of daily living for physically independent elderly

1999 ◽  
Vol 13 (1) ◽  
pp. 46 ◽  
Author(s):  
Rosana Aparecida Andreotti ◽  
Silene Sumire Okuma
Keyword(s):  
Activities Of Daily Living ◽  
Daily Living ◽  
Sao Paulo ◽  
Test Battery ◽  
São Paulo ◽  
Independent Elderly

Dados de pesquisas mostram que 25% da população idosa mundial é dependente de outros para realizar suas tarefas cotidianas. Entretanto, a grande maioria, apesar de apresentar alguma dificuldade na realização dessas atividades, é independente. Não obstante esses dados, continuam a predominar medidas de avaliação voltadas para a população fisicamente dependente ou fragilizada, dificultando a análise e compreensão do desempenho motor e das atividades da vida diária (AVD) da maioria dos idosos, que não são fisicamente dependentes. Assim, o objetivo desse estudo foi criar e validar uma bateria de testes motores relacionados às AVD, voltados para a população fisicamente independente. Participaram da validação da bateria de testes 30 idosos fisicamente independentes, com idade média de 68,7 anos, participantes do PAAF (Programa Autonomia para Atividade Física), da Escola de Educação Física e Esporte da Universidade de São Paulo. Levando em consideração as atividades mais freqüentemente desempenhadas por esses idosos, em seu dia-a-dia, bem como as de maior dificuldade de realização, foi elaborada uma bateria de testes com as atividades: caminhar 800 metros, sentar e levantar-se de uma cadeira e locomover-se pela casa, subir degraus, subir escadas, levantar-se do solo, habilidades manuais e calçar meias. Os resultados apontaram que os testes criados nesse estudo têm descrição clara, relacionam-se com AVD e possuem aplicabilidade, o que corrobora a validade de seu conteúdo. Além disso, todos eles mostraram alto grau de objetividade e fidedignidade, respectivamente: caminhar 800 metros (r = 0,99; r = 0,97); sentar e levantar-se da cadeira e locomover-se pela casa (r = 0,99; r = 0,96); subir degraus (r = 1,00; r = 0,94); subir escadas (r = 0,98; r = 0,92); habilidades manuais (r = 0,97; r = 0,74); calçar meias (r = 0,99; r = 0,87). Testes relacionados à capacidade funcional de idosos fisicamente independentes devem enfocar as atividades de locomoção

scholarly journals A Hybrid Approach to Recognising Activities of Daily Living from Object Use in the Home Environment

Informatics ◽  
2018 ◽  
Vol 5 (1) ◽  
pp. 6 ◽  
Author(s):  
Isibor Ihianle ◽  
Usman Naeem ◽  
Syed Islam ◽  
Abdel-Rahman Tawil
Keyword(s):  
Activities Of Daily Living ◽  
Home Environment ◽  
Daily Living ◽  
Hybrid Approach ◽  
Object Use

scholarly journals Independence and Caregiver Preferences Among Community-Dwelling Older People in Slovenia: A Cross-Sectional Study

2019 ◽  
Vol 56 ◽  
pp. 004695801986915
Author(s):  
Katarina Galof ◽  
Anja Žnidaršič ◽  
Zvone Balantič
Keyword(s):  
Older People ◽  
Activities Of Daily Living ◽  
Home Environment ◽  
Daily Living ◽  
Community Dwelling ◽  
Daily Activities ◽  
Rank Test ◽  
Cross Sectional ◽  
Term Care ◽  
At Home

Although Slovenia is becoming an aging society, very little is known about the abilities and needs of home-dwelling older people or their preferences regarding assistance. The aim of the study was to explore the need for assistance in daily activities among older Slovenian people living at home. Older adults aged between 65 and 97 years (N = 358) participated in the cross-sectional survey study. A questionnaire that assessed independence in daily activities and assistance in the home environment was developed. Data were analyzed using descriptive statistics, a nonparametric test (Wilcoxon signed rank test), and the chi-square test. The results showed that older Slovenians were more independent in activities of daily living (ADLs) than instrumental activities of daily living (IADLs). Independence was the highest for using the toilet, feeding, and mobility transfers, and the lowest for bathing. With IADLs, assistance was most often required with shopping and housework; this assistance was usually provided by family members. The provider of assistance was generally compatible with older people’s preferences concerning assistance at home. We found no differences in care preferences between urban and rural settings. Assistance in the home environment was predominantly provided by unpaid helpers, which reflects recent developments in health and social services that put an emphasis on a person’s social network. Due to demographic changes and the decrease in the number of adult children, reliance on close relatives might soon become a challenge. These findings can help policy makers understand older people’s choices and preferences better when planning long-term care.

Eccentric Viewing Training in the Home Environment: Can it Improve the Performance of Activities of Daily Living?

2009 ◽  
Vol 103 (5) ◽  
pp. 277-290 ◽  
Author(s):  
Meri Vukicevic ◽  
Kerry Fitzmaurice
Keyword(s):  
Activities Of Daily Living ◽  
Macular Degeneration ◽  
Home Environment ◽  
Daily Living ◽  
Loss Of Vision ◽  
Eccentric Viewing ◽  
And Performance ◽  
Home Training ◽  
The Impact

Macular degeneration has a severe impact on a person's ability to perform activities of daily living. This study investigated the impact of in-home training in eccentric viewing on near acuity and performance of activities of daily living. The results suggest that eccentric viewing can ameliorate the impact of the loss of vision that is due to macular degeneration.

scholarly journals Exploring Entropy Measurements to Identify Multi-Occupancy in Activities of Daily Living

Entropy ◽  
2019 ◽  
Vol 21 (4) ◽  
pp. 416 ◽  
Author(s):  
Aadel Howedi ◽  
Ahmad Lotfi ◽  
Amir Pourabdollah
Keyword(s):  
Activities Of Daily Living ◽  
Activity Recognition ◽  
Home Environment ◽  
Daily Living ◽  
Approximate Entropy ◽  
Entropy Measures ◽  
Different Types ◽  
Novel Method ◽  
High Degree ◽  
Movement Activities

Human Activity Recognition (HAR) is the process of automatically detecting human actions from the data collected from different types of sensors. Research related to HAR has devoted particular attention to monitoring and recognizing the human activities of a single occupant in a home environment, in which it is assumed that only one person is present at any given time. Recognition of the activities is then used to identify any abnormalities within the routine activities of daily living. Despite the assumption in the published literature, living environments are commonly occupied by more than one person and/or accompanied by pet animals. In this paper, a novel method based on different entropy measures, including Approximate Entropy (ApEn), Sample Entropy (SampEn), and Fuzzy Entropy (FuzzyEn), is explored to detect and identify a visitor in a home environment. The research has mainly focused on when another individual visits the main occupier, and it is, therefore, not possible to distinguish between their movement activities. The goal of this research is to assess whether entropy measures can be used to detect and identify the visitor in a home environment. Once the presence of the main occupier is distinguished from others, the existing activity recognition and abnormality detection processes could be applied for the main occupier. The proposed method is tested and validated using two different datasets. The results obtained from the experiments show that the proposed method could be used to detect and identify a visitor in a home environment with a high degree of accuracy based on the data collected from the occupancy sensors.

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