• DocumentCode
    685850
  • Title

    Hand gesture recognition: An overview

  • Author

    Shuai Yang ; Premaratne, Prashan ; Vial, P.

  • Author_Institution
    Sch. of Electr. Comput. & Telecommun. Eng., Univ. of Wollongong, Wollongong, NSW, Australia
  • fYear
    2013
  • fDate
    17-19 Nov. 2013
  • Firstpage
    63
  • Lastpage
    69
  • Abstract
    Hand gesture recognition has been applied to many fields in recent years, especially in man-machine interaction (MMI) area, which is regarded as a more natural and flexible input. In this paper, an overview of hand gesture recognition research up to date is presented, which includes common stages of hand gesture recognition, common methods and technique of each stage, the state of the recent research and summaries of some successful hand gesture recognition models.
  • Keywords
    gesture recognition; user interfaces; MMI; hand gesture recognition; man machine interaction; Computers; Feature extraction; Gesture recognition; Hidden Markov models; Image color analysis; Image segmentation; Skin; Feature extraction; Gestures recognition; Hand gesture recognition; Man-Machine Interaction (MMI); Neural network; Segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Broadband Network & Multimedia Technology (IC-BNMT), 2013 5th IEEE International Conference on
  • Conference_Location
    Guilin
  • Type

    conf

  • DOI
    10.1109/ICBNMT.2013.6823916
  • Filename
    6823916
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=685850