An Adaptive System for Home Monitoring Using a Multiagent Classification of Patterns. (17th April 2008)

• Record Type: Journal Article
• Authors: Rammal, Ali; Trouilhet, Sylvie; Singer, Nicolas; Pécatte, Jean-Marie
• Other Names: Verdier Christine Academic Editor.
• Is Part Of: International journal of telemedicine and applications. Volume 2008(2008)
• Publication Date: 2008-04-17
• Subjects: Telecommunication in medicine -- Periodicals; Medical telematics -- Periodicals; Télémédecine; Télématique médicale; Medical telematics; Telecommunication in medicine; Telemedicine -- Periodicals; Medical Informatics -- Periodicals; Biomedical Technology -- Periodicals; Electronic journals; Periodicals; 610.285
• DOI: 10.1155/2008/136054
• Languages: English
• ISSNs: 1687-6415

Abstract

Abstract : This research takes place in theS ( MA ) 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.