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Human activity recognition in smart homes based on passive RFID localization

Bouchard Kévin, Bilodeau Jean-Sébastien, Fortin-Simard Dany, Gaboury Sébastien, Bouchard Bruno et Bouzouane Abdenour. (2014). Human activity recognition in smart homes based on passive RFID localization. Dans Fillia Makedon (dir.), PETRA '14 : Proceedings of the 7th International conference on pervasive technologies related to assistive environments - PETRA '14. (p. 1-8). New York, NY, United States : Association for computing machinery.

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Modern societies are facing an important ageing of their population leading to arising economical and sociological challenges such as the pressure on health support services for semi-autonomous persons. Smart home technology is considered by many researchers as a promising potential solution to help supporting the needs of elders. It aims to provide cognitive assistance by taking decisions, such as giving hints, suggestions and reminders, with different kinds of effectors (light, sound, screen, etc.) to a resident suffering from cognitive deficits in order to foster their autonomy. To implement such technology, the first challenge we need to overcome is the recognition of the ongoing inhabitant activity of daily living (ADL). Moreover, to assist him correctly, we also need to be able to detect the cognitive errors he performs. Therefore, we present in this paper a new affordable activity recognition system, based on passive RFID technology, able to detect errors related to cognitive impairment in morning routines. The entire system relies on an innovative model of elliptical trilateration with several filters, and on an ingenious representation of activities with spatial zones. This system has been implemented and deployed in a real smart home prototype. We also present the promising results of a first experiment conducted on this new activity recognition system with real cases scenarios about morning routines.

Type de document:Chapitre de livre
Lieu de publication:New York, NY, United States
Identifiant unique:10.1145/2674396.2674403
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
Éditeurs:Makedon, Fillia
Mots-clés:applied computing, life and medical sciences, human-centered computing, software and its engineering, software organization and properties, smart home, activity recognition, passive RFID, spatial reasoning, proceedings
Déposé le:12 févr. 2021 20:05
Dernière modification:12 févr. 2021 20:05
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