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Reconnaissance de contexte stable pour l'habitat intelligent

Paoli Pietropaoli 1 
1 ACES - Ambient computing and embedded systems
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : Smart home is a major subject of interest. It helps to assist elderly or disabled people, improve comfort, safety, and also save energy. Today, ubiquitous computing is developed and integrated into the smart home providing context-awareness. Unfortunately, understanding what happens in a home is not always easy. In this thesis, we explain how context can be used to deploy services tailored to the activities and needs of residents. Understanding context requires the installation of sensors but also the abstraction of raw data into easily understandable data usable by humans and services. We present a multi-layer architecture of data fusion used to obtain contextual information of different levels of abstraction. The implementation of the lower layers is presented in detail with the application of the theory of belief functions for the abstraction of raw sensor data. Finally, are presented the deployment of a prototype that allowed us to validate our approach and the deployed services.
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Submitted on : Monday, May 5, 2014 - 4:08:38 PM
Last modification on : Saturday, June 25, 2022 - 8:29:31 PM
Long-term archiving on: : Tuesday, August 5, 2014 - 12:50:24 PM


Version validated by the jury (STAR)


  • HAL Id : tel-00917776, version 2


Paoli Pietropaoli. Reconnaissance de contexte stable pour l'habitat intelligent. Autre [cs.OH]. Université Rennes 1, 2013. Français. ⟨NNT : 2013REN1S148⟩. ⟨tel-00917776v2⟩



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