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 |
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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 |
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Dernière modification: | 12 févr. 2021 19:37 |
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