Non-Intrusive Context-Aware System for Ambient Assisted Living in Smart Home

Willy Allegre (1, 2) , Thomas Burger (1) , Jean-Yves Antoine (1) , Pascal Berruet (1) , Jean-Paul Departe (3)

1 Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (UMR 3192)
2 CMRRF Kerpape - Laboratoire d'Electronique du Centre Mutualiste de Rééducation et de Réadaptation Fonctionnelles de Kerpape
3 CRMMF Kerpape

Automation of smart home for ambient assisted living is currently based on a widespread use of sensors. As e cient as it seems to be, this solution can sometimes be problematic when one focus on user acceptability intimately related to cost and intrusivity. In this paper, we propose a context-aware system based on the semantic analysis of each user request at runtime. Our goal is to infer user data usually sensored by using advanced semantic web tools to adapt home automation services to people with special needs. To take up this challenge, an ontology, automatically derived from a model-driven process, rstly de nes user-system interactions. Then, the use of rules allows an inference engine to deduce user location and intention leading to adapted service delivery.

Mots clés: Smart Home; Ambient Assisted Living; Ontologies; Model-Driven Engineering; Home Automation Services; Context-Awareness

Domaines: Interface homme-machine [cs.HC]

Willy Allegre, Thomas Burger, Jean-Yves Antoine, Pascal Berruet, Jean-Paul Departe. Non-Intrusive Context-Aware System for Ambient Assisted Living in Smart Home. Health and technology, 2013, 3 (2), pp.129-138. ⟨hal-00910386⟩