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International Journal of Telemedicine and Applications
Volume 2008, Article ID 136054, 8 pages
Research Article

An Adaptive System for Home Monitoring Using a Multiagent Classification of Patterns

1IRIT-Centre Universitaire de information et d' Recherche (CUFR) Jean-François Champollion, site de Castres, Avenue Georges Pompidou, 81100 Castres, France
2IRIT, Université Paul Sabatier (UPS), site de Castres, Avenue Georges Pompidou, 81100 Castres, France

Received 1 October 2007; Revised 11 February 2008; Accepted 18 March 2008

Academic Editor: Christine Verdier

Copyright © 2008 Ali Rammal et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


This research takes place in the S ( M A ) 2 D project which proposes software architecture to monitor elderly people in their own homes. We want to build patterns dynamically from data about activity, movements, and physiological information of the monitored people. To achieve that, we propose a multiagent method of classification: every agent has a simple know-how of classification. Data generated at this local level are communicated and adjusted between agents to obtain a set of patterns. The patterns are used at a personal level, for example to raise an alert, but also to evaluate global risks (epidemic, heat wave). These data are dynamic; the system has to maintain the built patterns and has to create new patterns. So, the system is adaptive and can be spread on a large scale.