Regression Analysis for Gesture Recognition Using RFID Technology View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2015

AUTHORS

Kevin Bouchard , Bruno Bouchard , Abdenour Bouzouane

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. More... »

PAGES

121-128

References to SciGraph publications

  • 2012-03. Gesture recognition using RFID technology in PERSONAL AND UBIQUITOUS COMPUTING
  • Book

    TITLE

    Smart Homes and Health Telematics

    ISBN

    978-3-319-14423-8
    978-3-319-14424-5

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-319-14424-5_13

    DOI

    http://dx.doi.org/10.1007/978-3-319-14424-5_13

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1007438050


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