• DocumentCode
    601311
  • Title

    Vision Based Hand Gesture Recognition

  • Author

    Yanmin Zhu ; Zhibo Yang ; Bo Yuan

  • Author_Institution
    Intell. Comput. Lab., Tsinghua Univ., Shenzhen, China
  • fYear
    2013
  • fDate
    11-13 April 2013
  • Firstpage
    260
  • Lastpage
    265
  • Abstract
    Hand gesture recognition has attracted much attention from academia and industry in recent years due to its apparent superiority over traditional techniques in human-computer interaction in terms of convenience. This domain has been investigated from different perspectives among which vision based approaches provide the most natural and intuitive interfaces. This paper presents a comprehensive review on vision based hand gesture recognition, with an emphasis on dynamic hand gestures. First, a brief introduction of the basic concepts and the classification of hand gesture recognition techniques are given. Then, a number of popular related technologies and interesting applications are reviewed. Finally, we give some discussion on the current challenges and open questions in this area and point out a list of possible directions for future work.
  • Keywords
    gesture recognition; image classification; dynamic hand gestures; hand gesture recognition classification; human-computer interaction; vision based hand gesture recognition; Gesture recognition; Hidden Markov models; Image color analysis; Image segmentation; Skin; Solid modeling; Tracking; HCI; classification; detection and segmentation; hand tracking; vision based hand gesture recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Service Sciences (ICSS), 2013 International Conference on
  • Conference_Location
    Shenzhen
  • ISSN
    2165-3836
  • Print_ISBN
    978-1-4673-6258-0
  • Type

    conf

  • DOI
    10.1109/ICSS.2013.40
  • Filename
    6519802