Detection of Social Isolation Based on Meal-Taking Activity and Mobility of Elderly People Living Alone

Bouaziz, Ghazi; Brulin, Damien; Pigot, Hélène; Campo, Éric

doi:10.1016/j.irbm.2023.100770

Cited by 9 publications

(5 citation statements)

References 22 publications

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“…In addition, the analysis of the collected information, combining digital data with other data sources such as the health profile or the social environment of the person now makes it possible to consider the automatic prediction of risks. For example, we are currently working on the detection of social isolation through the analysis of activities related to mobility and eating [85].…”

Section: Discussionmentioning

confidence: 99%

Technological Solutions for Social Isolation Monitoring of the Elderly: A Survey of Selected Projects from Academia and Industry

Bouaziz

Brulin

Campo

2022

Sensors

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Social isolation is likely to be one of the most serious health outcomes for the elderly due to the COVID-19 pandemic, especially for seniors living alone at home. In fact, two approaches have been used to assess social isolation. The first is a self-reported survey designed for research purposes. The second approach is the use of monitoring technology. The objective of this paper is to provide some illustrative publications, works and examples of the current status and future prospects in the field of monitoring systems that focused on two main activities of daily living: meal-taking activity (shopping, cooking, eating and washing dishes) and mobility (inside the home and the act of going out). These two activities combined seem relevant to a potential risk of social isolation in the elderly. Although current research focuses on identifying only ADLs, we propose to use them as a first step to extract daily habits and risk level of social isolation. Moreover, since activity recognition is a recent field, we raise specific problems as well as needed contributions and we propose directions and research opportunities to accelerate advances in this field.

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Section: Discussionmentioning

confidence: 99%

Technological Solutions for Social Isolation Monitoring of the Elderly: A Survey of Selected Projects from Academia and Industry

Bouaziz

Brulin

Campo

2022

Sensors

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“…Il existe également des travaux axés sur le plus long terme comme la détection d'activités ou de patterns de comportement et leur lente évolution au cours du temps, associé à une évolution de pathologies. On peut citer dans ce cadre les travaux de l'équipe S4M du LAAS ( [4] ou [5] par exemple) ou de l'équipe STARS de l'Inria Sophia Antipolis [34], plus spécialisée dans l'utilisation de capteurs vidéo.…”

Section: Domaines D'application Et Défisunclassified

Introduction (FR)

Charpillet¹,

Ploix²,

Reignier³

2023

Revue Ouverte d'Intelligence Artificielle

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“…There are also works focused on the longer term such as the detection of activities or behavior patterns and their slow evolution over time, associated with the evolution of pathologies. We can cite in this context the work of the S4M team at LAAS ( [4] or [5] for example) or the STARS team at Inria Sophia Antipolis [34], which is more specialized in the use of video sensors.…”

Section: Application Areas and Challengesmentioning

confidence: 99%