A Multiagent Approach to Personalization and Assistance to Multiple Persons in a Smart Home

Abstract : Localization, personalization, activity recognition, and cognitive assistance are key issues in research on smart homes for cognitively impaired people. Most of the current solutions rely on the presence of solely one person in the residence. To actively consider the interaction of the smart home inhabitant with their caregivers, nurses, doctors and people sharing their home, this paper proposes a multi-agent approach to transparently locate, identify, and ease the collaboration between distributed personalization and assistance services. Based on Bayesian filtering localization using anonymous sensors, the multi-person localization process provides information on each occupant presence, either incoming or outgoing. This information is then used for personalization and assistance.
Type de document :
Communication dans un congrès
Association for the Advancement of Artificial Intelligence. Workshops at the Twenty-Eighth AAAI Conference on Artificial Intelligence (AAAI-14), Jul 2014, Québec, Canada. pp. 11-15, 2014
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https://hal-emse.ccsd.cnrs.fr/emse-01052966
Contributeur : Florent Breuil <>
Soumis le : mardi 29 juillet 2014 - 11:48:04
Dernière modification le : jeudi 11 janvier 2018 - 06:23:25

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  • HAL Id : emse-01052966, version 1

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Sylvain Giroux, Matthieu Castebrunet, Olivier Boissier, Vincent Rialle. A Multiagent Approach to Personalization and Assistance to Multiple Persons in a Smart Home. Association for the Advancement of Artificial Intelligence. Workshops at the Twenty-Eighth AAAI Conference on Artificial Intelligence (AAAI-14), Jul 2014, Québec, Canada. pp. 11-15, 2014. 〈emse-01052966〉

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