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Accurate RFID trilateration to learn and recognize spatial activities in smart environment

Bouchard Kevin, Fortin-Simard Dany, Gaboury Sebastien, Bouchard Bruno et Bouzouane Abdenour. (2013). Accurate RFID trilateration to learn and recognize spatial activities in smart environment. International Journal of Distributed Sensor Networks, 9, (6), p. 936816.

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URL officielle: http://dx.doi.org/doi:10.1155/2013/936816

Résumé

The rapid adoption of wireless communication and sensors technology has raised the awareness of many laboratories about the field of network embedded system. Most researchers aim to exploit these advances to enable technological assistance of frail persons in smart homes. However, to reach the full potential of applications using network embedded systems such as assistive smart home, scientists need to work toward the creation of support services. In this paper, we present an accurate passive RFID localization technique, which can easily be implemented and deployed in various environments, coupled to a complete human activity recognition model. The goal of this paper is to demonstrate, through concrete experiments, that support services can enable powerful solution to long-lived challenges of the network embedded system community. Particularly, the model exploits qualitative spatial reasoning from RFID localization of objects in the smart home to learn and recognize the basic and instrumental activities of daily living of a resident. Our system was deployed in a real smart home, and the results obtained were quite encouraging. The developed RFID technique gives an average precision of ±14.12 cm, and the recognition algorithm recognizes up to 92% activities.

Type de document:Article publié dans une revue avec comité d'évaluation
ISSN:1550-1477
Volume:9
Numéro:6
Pages:p. 936816
Version évaluée par les pairs:Oui
Date:2013
Identifiant unique:10.1155/2013/936816
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:RFID, smart homes, spatial activity recognition
Déposé le:11 févr. 2021 19:15
Dernière modification:11 févr. 2021 19:15
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