Towards a System Architecture for Recognizing Domestic Activity by Leveraging a Naturalistic Human Activity Model

Michele Dominici 1 Myriam Fréjus 2 Julien Guibourdenche 2 Bastien Pietropaoli 1 Frédéric Weis 1
1 ACES - Ambient computing and embedded systems
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : Existing activity recognition approaches in the smart home domain suffer from poor human activity models. Combining expertise from cognitive ergonomics and ubiquitous computing, we discuss the hard technical challenges to address when leveraging a realistic model of human activity. We present the architecture of a prototype smart home system that we are developing and show the gap that exists between our current capabilities in terms of contextual-knowledge extraction and the complexity of the targeted activity recognition. To fill this gap, we propose and discuss the integration of PHATT, an existing algorithm for plan recognition, into our system in order to mine additional information from the dynamics of context.
Type de document :
Communication dans un congrès
GAPREC 2011 : Workshop on Goal, Activity and Plan Recognition (Gaprec) at the International Conference on Automated Planning and Scheduling (ICAPS), Jun 2011, Freiburg, Germany. 2011, 〈http://icaps11.icaps-conference.org/workshops/gaprec.html〉
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https://hal.inria.fr/hal-00702164
Contributeur : Ist Rennes <>
Soumis le : mardi 29 mai 2012 - 14:40:40
Dernière modification le : vendredi 16 novembre 2018 - 01:23:29

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  • HAL Id : hal-00702164, version 1

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Michele Dominici, Myriam Fréjus, Julien Guibourdenche, Bastien Pietropaoli, Frédéric Weis. Towards a System Architecture for Recognizing Domestic Activity by Leveraging a Naturalistic Human Activity Model. GAPREC 2011 : Workshop on Goal, Activity and Plan Recognition (Gaprec) at the International Conference on Automated Planning and Scheduling (ICAPS), Jun 2011, Freiburg, Germany. 2011, 〈http://icaps11.icaps-conference.org/workshops/gaprec.html〉. 〈hal-00702164〉

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