• DocumentCode
    159742
  • Title

    Evaluation of static Hand Gesture algorithms

  • Author

    Vanco, Marek ; Minarik, Ivan ; Rozinaj, Gregor

  • Author_Institution
    Inst. of Telecommun., Slovak Univ. of Technol. in Bratislava, Bratislava, Slovakia
  • fYear
    2014
  • fDate
    12-15 May 2014
  • Firstpage
    83
  • Lastpage
    86
  • Abstract
    With emergence of the smart and intuitive interfaces during the past few years the need for robust and reliable algorithms rises. Many methods have been proposed for image segmentation, and particularly for static gesture recognition. In this article, using Microsoft Kinect sensor, we attempt to analyze and compare three selected algorithms for image segmentation intended for static gesture recognition, namely Convexity Defects, K-Curvature and Part-based Hand Gesture Recognition.
  • Keywords
    gesture recognition; image segmentation; K-curvature algorithm; Microsoft Kinect sensor; convexity defects approach; image segmentation; part-based hand gesture recognition; static hand gesture algorithms; Continuous wavelet transforms; Image segmentation; Reliability; Shape; Smoothing methods; Thumb; Depth image; Fingers; Gesture recognition; Hand shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Signals and Image Processing (IWSSIP), 2014 International Conference on
  • Conference_Location
    Dubrovnik
  • ISSN
    2157-8672
  • Type

    conf

  • Filename
    6837636
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=159742