ADL Monitoring of Elderly People in Smart Homes Based on Task Models - Fiabilité des Systèmes et des Logiciels Access content directly
Conference Papers Year : 2023

ADL Monitoring of Elderly People in Smart Homes Based on Task Models

Jose Manuel Negrete Ramírez
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Célia Martinie
Philippe Palanque
Yudith Cardinale

Abstract

Monitoring activities of daily living (ADL) is a frequent practice to determine the independence of elderly people in their homes instrumented with a set of sensors. To do so, the representation of ADL is an issue that must be addressed. In this paper, ADL representation based on task models is presented. To this extent, we propose an approach for task modelling of ADL by means of HAMSTERS-XL, an extensible task notation and tool allowing the design, visualisation, and simulation of task models. The proposed approach consists of several steps aiming to determine parameters, such as time and location, of both activities and sensors, as well as the events that need to be identified. To demonstrate the suitability of our approach, we present the description of two ADL performed by a resident within a smart home environment by employing the AGGIR grid variables, a tool adopted by the French government for determining the autonomy of an elderly individual. The obtained results are analyzed with the purpose of indicating the advantages of using ADL representation by means of task modeling.
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hal-04151435 , version 1 (05-07-2023)

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Jose Manuel Negrete Ramírez, Célia Martinie, Philippe Palanque, Yudith Cardinale. ADL Monitoring of Elderly People in Smart Homes Based on Task Models. Workshop @ 19th International Conference on Intelligent Environments (IE 2023), Jun 2023, Mauritius, Mauritius. pp.216 - 225, ⟨10.3233/AISE230034⟩. ⟨hal-04151435⟩
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