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An event detection framework for the representation of the AGGIR variables

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Abstract

In this paper, we propose a framework to study the AGGIR (Autonomy Gerontology Iso-Resources Groups) grid model, in order to evaluate the level of independency of elderly people, according to their capabilities of performing activities and interact with their environments over the time. To model the Activities of Daily Living (ADL), we also extend a previously proposed Domain Specific Language (DSL), in order to employ operators to deal with constraints related to time and location of activities, and event recognition. Our framework aims at providing an analysis tool regarding the performance of elder-ly/handicapped people within a home environment by means of data recovered from sensors using the iCASA simulator. To evaluate our approach, we pick three of the AGGIR variables (i.e., dressing, toileting, and transfers) and evaluate their testability in many scenarios, by means of records representing the occurrence of activities of the elderly. Results demonstrate the accuracy of our framework to manage the obtained records correctly and thus generate the appropriate event information.
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Dates and versions

hal-02464158 , version 1 (04-02-2020)

Identifiers

  • HAL Id : hal-02464158 , version 1

Cite

Jose Manuel, Negrete Ramírez, Philippe Roose, Marc Dalmau, Yudith Cardinale. An event detection framework for the representation of the AGGIR variables. 6th International Workshop on e-Health Pervasive Wireless Applications and Services 2018 (e-HPWAS’18), IEEE WiMob 2018, 2018, Limassol, Cyprus. ⟨hal-02464158⟩

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