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Multimodal Corpus Recorded by Elderly People at home with elaboration of an adapted IHM

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Abstract

Assessment of physical frailty in community dwelling older people is essential to evaluate their capacity to live independently. A solution in context of digitized healthcare in silver technology is the home monitoring of the evolution of their state of health based on physical fragility assessment. The monitoring system used in our work is based on five types of sensors: 1) infrared sensors, 2) balance quality system, 3) dynamometer, 4) insoles in shoes, 5) radar system. A software was developped on android OS in order to collect, send and store data onto a medical server. Acceptability and acceptance of these sensors were studied in two phases. First, a group of older adult were invited to co-participate and familiarize the IHM by using the plateform in our LivingLab Activageing. Second phase consists of sensors installation at home. This latter affords a a multimodal database that can infer information such as the health status of the end users. This work was included in a longitudinal study in order to provide health-care professional indicators to assess the effect of their recovery actions which were prescribed for older adults recruited.
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Dates and versions

hal-02291401 , version 1 (18-09-2019)

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Guettari Toufik, Dimitri Voilmy, Axel Raymonet, Antoine Piau, Jean-Luc Novella, et al.. Multimodal Corpus Recorded by Elderly People at home with elaboration of an adapted IHM. 2019 3rd International Conference on Bio-engineering for Smart Technologies (BioSMART), Apr 2019, Paris, France. pp.1-4, ⟨10.1109/BIOSMART.2019.8734242⟩. ⟨hal-02291401⟩
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