Artificial Intelligence
AXA Projects
France
Extending Living Space for Frail and Dependent Ageing People
The groundbreaking “Extending Living Space for Frail and Dependent Ageing People” initiative addresses one of the most pressing challenges of our time: improving the quality of life for ageing populations who face frailty and dependency.
Healthy Aging is becoming a critical societal issue. As the global population ages, the need for innovative solutions to support independent living and enhance the well-being of older adults has become increasingly urgent. Existing models of care and pathways necessitate more citizen focused and support greater community resilience and sustainability as well as alternative approaches to innovation and information technologies to enhance the quality of life for people as they age, minimize onset of fragility as well as assist them better with long term conditions regarding self-management and prevention strategies.
Led by Professor Mounir Mokhtari, EXTENDED project focuses on deploying solutions to fulfill the twofold objectives of productivity and efficiency in the personalization of care of frail and dependent people: it proposes to consider a new paradigm in Ambient Assisted living (AAL) technologies for ageing and wellbeing by introducing human frailty metrics, socialization, and urban dimension in an ambient assistive framework. The objective of this initiative is to offer a model capable of computing a level of frailty based on different metrics and to promote active ageing through the maintenance of social links and support to the mobility of ageing people in the city. Leveraging on real-time data collected through sensors deployed indoor and outdoor, and historical data collected from insurance claims, EXTENDED project will focus on user lifestyles considering Activities of Daily Living (ADL), change of behavior, and mobility. It further aims to build continuous and unobtrusive AAL platforms to recognize ageing in ADLs, mobility, and social activities through semantic and rule-based reasoning with various level of abstraction and data processing techniques while advancing towards distant and real-life deployments of developed AAL platform on both Singapore and Paris.
This, initiative represents a transformative step toward building a human frailty model to assess the quality of life of the elderly and personalize intervention.
Mounir
MOKHTARI
Institution
Centre National de la Recherche Scientifique
Country
France
Nationality
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