A non-intrusive monitoring system for ambient assisted living service delivery

  • Authors:
  • Willy Allègre;Thomas Burger;Pascal Berruet;Jean-Yves Antoine

  • Affiliations:
  • Lab-STICC (CNRS), European University of Brittany, France,Centre de Recherche, Université de Bretagne-Sud, Lorient Cedex, France;Lab-STICC (CNRS), European University of Brittany, France,Centre de Recherche, Université de Bretagne-Sud, Lorient Cedex, France;Lab-STICC (CNRS), European University of Brittany, France,Centre de Recherche, Université de Bretagne-Sud, Lorient Cedex, France;Lab-STICC (CNRS), European University of Brittany, France,Centre de Recherche, Université de Bretagne-Sud, Lorient Cedex, France

  • Venue:
  • ICOST'12 Proceedings of the 10th international smart homes and health telematics conference on Impact Ananlysis of Solutions for Chronic Disease Prevention and Management
  • Year:
  • 2012

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Abstract

Automation of smart home for ambient assisted living is currently based on a widespread use of sensors. In this paper, we propose a monitoring system based on the semantic analysis of home automation logs (user requests). Our goal is to replace as many sensors as possible by using advanced tools to infer information usually sensored. To take up this challenge, an ontology, automatically derived from a model-driven process, firstly defines user-system interactions. Then, the use of rules allows an inference engine to deduce user location and intention leading to adapted service delivery.