AAAI Publications, Workshops at the Twenty-Eighth AAAI Conference on Artificial Intelligence

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Analysis and Knowledge Discovery of Moving Objects Equipped with RFID Tags
Kevin Bouchard, Sebastien Gaboury, Tarik Moutacalli, Bruno Bouchard, Abdenour Bouzouane

Last modified: 2014-06-18

Abstract


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.

Keywords


Gesture recognition; smart home; RFID

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