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A new device to track and identify people in a multi-residents context

Lapointe Patrick, Chapron Kévin, Bouchard Kévin et Gaboury Sébastien. (2020). A new device to track and identify people in a multi-residents context. Procedia Computer Science, 170, p. 403-410.

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URL officielle: http://dx.doi.org/doi:10.1016/j.procs.2020.03.082

Résumé

In recent years, technologies for monitoring people inside a house lead to the development of smart home. However, the vast majority of works deals only in monitoring the activities of a single inhabitant. Nevertheless, most of the people in the current context of ageing population does not live alone. Recognizing the activities performed by each inhabitant in a house is an important challenge. A first step to achieve this is to be able to distinguish where each inhabitant is in the house. In this paper, we present a new device to track and identify people in a multi-residents context. Experiments have been conducted to validate the reliability and accuracy of the proposed device.

Type de document:Article publié dans une revue avec comité d'évaluation
ISSN:18770509
Volume:170
Pages:p. 403-410
Version évaluée par les pairs:Oui
Date:2020
Identifiant unique:10.1016/j.procs.2020.03.082
Sujets:Sciences naturelles et génie > Sciences mathématiques > Informatique
Sciences de la santé
Département, module, service et unité de recherche:Départements et modules > Département d'informatique et de mathématique
Mots-clés:sensors, smart home, indoor localization, RSSI localization, bluetooth low energy, multi-residents, BLE RSSI, proceedings
Déposé le:12 févr. 2021 19:37
Dernière modification:12 févr. 2021 19:37
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