A DSL-based Approach for Detecting Activities of Daily Living by Means of the AGGIR Variables

José Manuel Negrete Ramírez , José Manuel Negrete Ramírez , Philippe Roose (1, 2) , Marc Dalmau , Yudith Cardinale , Edgar Silva

1 UPPA - Université de Pau et des Pays de l'Adour
2 LIUPPA - Laboratoire Informatique de l'Université de Pau et des Pays de l'Adour

In this paper, we propose a framework to study the AGGIR (Autonomie Gérontologique et Groupe Iso Ressources-Autonomy Gerontology Iso-Resources Groups) grid model, with the aim of assessing the level of independency of elderly people, in accordance with their capabilities of performing daily activities, as well as interacting with their environments. In order to model the Activities of Daily Living (ADL), we extend a previously proposed Domain Specific Language (DSL), by defining new operators to deal with constraints related to time and location of activities and event recognition. The proposed framework aims at providing an analysis tool regarding the performance of elderly/disabled people within a home environment by means of data recovered from sensors using a smart-home simulator environment. We perform an evaluation of our framework in several scenarios, considering five of the AGGIR variables (i.e., feeding, dressing, toileting, elimination, and transfers), as well as health-care devices for tracking occurrence of elderly activities. Results demonstrate the accuracy of the proposed framework to manage the tracked records correctly and thus generate the appropriate event information related to the ADL.

Mots clés: Domain Specific Language; Feature-oriented Programming; Pervasive Computing

Domaines: Autre [cs.OH]

José Manuel Negrete Ramírez, José Manuel Negrete Ramírez, Philippe Roose, Marc Dalmau, Yudith Cardinale, et al.. A DSL-based Approach for Detecting Activities of Daily Living by Means of the AGGIR Variables. Sensors, 2021, 21 (16), pp.5674. ⟨10.3390/s21165674⟩. ⟨hal-03346690⟩