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
Entropy ◽  
2020 ◽  
Vol 22 (8) ◽  
pp. 845 ◽  
Author(s):  
Aadel Howedi ◽  
Ahmad Lotfi ◽  
Amir Pourabdollah

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.


Sensors ◽  
2021 ◽  
Vol 21 (16) ◽  
pp. 5674
Author(s):  
José Manuel Negrete Ramírez ◽  
Philippe Roose ◽  
Marc Dalmau ◽  
Yudith Cardinale ◽  
Edgar Silva

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.


Author(s):  
Katarina Galof ◽  
Anja Žnidaršič ◽  
Zvone Balantič

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.


Author(s):  
Isibor Kennedy Ihianle ◽  
Syed Islam ◽  
Usman Naeem ◽  
Solomon Henry Ebenuwa

The accurate recognition of activities of daily living (ADL) is fundamental in the support and provision of assistance for the elderly and cognitively impaired. Current ontology-based techniques and knowledge-driven model object concepts form assumptions and everyday knowledge of objects used for activities. Activities modelled from assumptions and everyday knowledge can lead to incorrect recognition results of routine activities and possible failure to detect abnormal activity trends. A significant step to the accurate recognition of activities of daily living is the discovery of the object usage for specific routine activities. This chapter presents an approach that discovers object usage for routine activities using latent Dirichlet allocation (LDA) topic modelling. The object usage discovery augments an activity ontology that enables recognition of simple activities of daily living in the home environment. The proposed approach is evaluated and validated using the Kasteren and Ordonez datasets.


2009 ◽  
Vol 103 (5) ◽  
pp. 277-290 ◽  
Author(s):  
Meri Vukicevic ◽  
Kerry Fitzmaurice

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.


2018 ◽  
Vol 14 (3) ◽  
pp. 193-208
Author(s):  
Isibor Kennedy Ihianle ◽  
Usman Naeem ◽  
Syed Islam ◽  
Abdel-Rahman Tawil

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