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* Corresponding author 1 ENIM - MONASTIR - Ecole Nationale d-Ingénieurs de Monastir 2 IRISA-D2 - RÉSEAUX, TÉLÉCOMMUNICATION ET SERVICES 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 : Recognizing the activities of daily living plays an important role in healthcare. It is necessary to use an adapted model to simulate the human behavior in a domestic space to monitor the patient harmonically and to intervene in the necessary time. In this paper, we tackle this problem using the hierarchical hidden Markov model for representing and recognizing complex indoor activities. We propose a new grammar, called -Home By Room Activities Language-, to facilitate the complexity of human scenarios and consider the abnormal activities.

Keywords : Smart home elderly person Home By Room Activities language hierarchical and hidden Markov model activities scenarios prediction





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

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



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