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1 ENIM - MONASTIR - Ecole Nationale d-Ingénieurs de Monastir 2 IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires 3 T2I LIUPPA - Laboratoire Informatique de l-Université de Pau et des Pays de l-Adour 4 TACOMA - TAngible COMputing Architectures Inria Rennes – Bretagne Atlantique , IRISA-D2 - RÉSEAUX, TÉLÉCOMMUNICATION ET SERVICES

Abstract : Detect efficiently the activities of daily living of elderly people at home in order to provide a secure life and to intervene in the necessary time is an important problem we propose here an improved artificial neural network model. As we need an efficient prediction model, we propose a recurrent output neural network model RO-NN combined with a genetic algorithm GA which surely monitors and predicts the state of the concerned elderly person. Furthermore, we propose a prediction algorithm -Unusual Behavior Algorithm UBA- dedicated to detect the unusual activities and hold us account in the dangerous state.

Keywords : Sensors Smart spaces Elderly Unusual Behavior Algorithm Abrnomal behavior Recurrent Output Neural Network





Autor: Zaineb Liouane - Tayeb Lemlouma - Philippe Roose - Frédéric Weis - Hassani Messaoud -

Fuente: https://hal.archives-ouvertes.fr/



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