ParcoursSenior

ParcoursSenior addresses the issues of how to make outdoor walking of the elderly safer with personalized walking trails that best fit his/her walking capability in order to promote regular outdoor walking. The importance of mobility has triggered development of sensing technologies for walking monitoring including remote sensing and wearable systems. ParcoursSenior aims to fill the gap between collected information, walking capacity and walks to propose. Our goal is to develop a personalized digital twin that observes the outdoor walking effort of the elderly over time, learns his/her walking capacity and proposes safe and diverse trails that adapt to personal conditions. Specifically, ParcoursSenior aims at developing an integrated numerical chain of sensing-analytics-decision for outdoor walking monitoring and trail decision-aid. It relies on wearable sensors for monitoring key signals, machine learning techniques to turn sensor signals into the elderly’s walking capacity on different grounds, and decision-making tools to determine trails suitable for the health conditions with an appropriate combination of difficulties. The research is decomposed into four axes: - Pre-trail evaluation for developing a smart sensing system for pre-trail evaluation of the health condition and walking capability by wearable sensors, test protocols and machine learning algorithms; - Trail analytics to develop a smart sensing and analytics system to learn the capability of the elderly to walk different routes; - Trail decision-aid on multicriteria optimization of walking trails that are safe, diversified and adapted to the physical conditions of the elderly; - Utility and acceptance studies on users’ perceived utility & acceptance of the project results and potential improvements. The consortium has partial results on physical condition evaluation, mobility monitoring with WellBeNet, accompanying seniors on outdoor walks and a community-mapping tool for trail selection.