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Analysis and knowledge discovery of moving objects equipped with RFID tags

Bouchard Kévin, Gaboury Sébastien, Moutacalli Mohamed Tarik, Bouchard Bruno et Bouzouane Abdenour. (2014). Analysis and knowledge discovery of moving objects equipped with RFID tags. Dans Artificial intelligence applied to assistive technologies and smart environments : papers presented at the Twenty-Eighth AAAI Conference on artificial intelligence. (p. 1-6). Palo Alto, California : AAAI Press.

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URL officielle: https://www.aaai.org/ocs/index.php/WS/AAAIW14/pape...

Résumé

Research on passive RFID localization has provided the community with increasingly accurate localization methods. In particular, it is now feasible to track tagged objects in a smart environment. While there is still room for improvement, the prospects of knowing where are the objects in real time have opened to new interesting questions and challenges. One of them is the analysis of the movement of such objects during the realization of daily life activities by the resident in order to extract interesting knowledge that could help understand the actions, the gestures and the context in which he evolves. In this paper, we present a new method based on well-known mathematical tools to analyze noisy positions obtained from a passive RFID localization system.

Type de document:Chapitre de livre
Date:2014
Lieu de publication:Palo Alto, California
Sujets:Sciences naturelles et génie > Sciences mathématiques > Informatique
Département, module, service et unité de recherche:Départements et modules > Département d'informatique et de mathématique
Mots-clés:gesture recognition, smart home, RFID, proceedings
Déposé le:17 févr. 2021 19:29
Dernière modification:17 févr. 2021 19:29
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