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Regression Analysis for Gesture Recognition Using RFID Technology

  • Kevin Bouchard
  • Bruno Bouchard
  • Abdenour Bouzouane
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8456)

Abstract

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.

Keywords

Regression Smart home Gesture recognition Passive RFID 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Kevin Bouchard
    • 1
  • Bruno Bouchard
    • 1
  • Abdenour Bouzouane
    • 1
  1. 1.Université Du Québec à Chicoutimi (UQAC)SaguenayCanada

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