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

This research takes place in the S(MA)2D 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 multiage...

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Main Authors: Ali Rammal, Sylvie Trouilhet, Nicolas Singer, Jean-Marie Pécatte
Format: Article
Language:English
Published: Wiley 2008-01-01
Series:International Journal of Telemedicine and Applications
Online Access:http://dx.doi.org/10.1155/2008/136054
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author Ali Rammal
Sylvie Trouilhet
Nicolas Singer
Jean-Marie Pécatte
author_facet Ali Rammal
Sylvie Trouilhet
Nicolas Singer
Jean-Marie Pécatte
author_sort Ali Rammal
collection DOAJ
description This research takes place in the S(MA)2D 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.
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institution Kabale University
issn 1687-6415
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language English
publishDate 2008-01-01
publisher Wiley
record_format Article
series International Journal of Telemedicine and Applications
spelling doaj-art-f9ae1b34f4824305a802cf6ee9a44b0c2025-02-03T05:54:02ZengWileyInternational Journal of Telemedicine and Applications1687-64151687-64232008-01-01200810.1155/2008/136054136054An Adaptive System for Home Monitoring Using a Multiagent Classification of PatternsAli Rammal0Sylvie Trouilhet1Nicolas Singer2Jean-Marie Pécatte3IRIT-Centre Universitaire de information et d' Recherche (CUFR) Jean-François Champollion, site de Castres, Avenue Georges Pompidou, 81100 Castres, FranceIRIT, Université Paul Sabatier (UPS), site de Castres, Avenue Georges Pompidou, 81100 Castres, FranceIRIT-Centre Universitaire de information et d' Recherche (CUFR) Jean-François Champollion, site de Castres, Avenue Georges Pompidou, 81100 Castres, FranceIRIT, Université Paul Sabatier (UPS), site de Castres, Avenue Georges Pompidou, 81100 Castres, FranceThis research takes place in the S(MA)2D 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.http://dx.doi.org/10.1155/2008/136054
spellingShingle Ali Rammal
Sylvie Trouilhet
Nicolas Singer
Jean-Marie Pécatte
An Adaptive System for Home Monitoring Using a Multiagent Classification of Patterns
International Journal of Telemedicine and Applications
title An Adaptive System for Home Monitoring Using a Multiagent Classification of Patterns
title_full An Adaptive System for Home Monitoring Using a Multiagent Classification of Patterns
title_fullStr An Adaptive System for Home Monitoring Using a Multiagent Classification of Patterns
title_full_unstemmed An Adaptive System for Home Monitoring Using a Multiagent Classification of Patterns
title_short An Adaptive System for Home Monitoring Using a Multiagent Classification of Patterns
title_sort adaptive system for home monitoring using a multiagent classification of patterns
url http://dx.doi.org/10.1155/2008/136054
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