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Regression Analysis for Gesture Recognition Using RFID Technology
The recognition of gestures performed by humans always attracted researchers that applied such algorithms in a broad range of disciplines. In particular, it was exploited on pervasive environments to enable simple communication with automation systems. In this paper, we present a novel gesture recognition algorithm that works under uncertainty. The algorithm is based on the tracking of passive RFID tags installed on everyday life objects. The method is able to perform the difficult task of segmentation and recognize basic directions within noisy dataset of positions. A set of tests was conducted in a realistic environment, and the results obtained are encouraging.
Regression Analysis for Gesture Recognition Using RFID Technology
The recognition of gestures performed by humans always attracted researchers that applied such algorithms in a broad range of disciplines. In particular, it was exploited on pervasive environments to enable simple communication with automation systems. In this paper, we present a novel gesture recognition algorithm that works under uncertainty. The algorithm is based on the tracking of passive RFID tags installed on everyday life objects. The method is able to perform the difficult task of segmentation and recognize basic directions within noisy dataset of positions. A set of tests was conducted in a realistic environment, and the results obtained are encouraging.
Regression Analysis for Gesture Recognition Using RFID Technology
Lect.Notes Computer
Bodine, Cathy (Herausgeber:in) / Helal, Sumi (Herausgeber:in) / Gu, Tao (Herausgeber:in) / Mokhtari, Mounir (Herausgeber:in) / Bouchard, Kevin (Autor:in) / Bouchard, Bruno (Autor:in) / Bouzouane, Abdenour (Autor:in)
International Conference on Smart Homes and Health Telematics ; 2014 ; Denver, CO, USA
27.12.2014
8 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Regression Analysis for Gesture Recognition Using RFID Technology
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