• DocumentCode
    3113827
  • Title

    A Review on Hand Gesture Recognition System

  • Author

    Sonkusare, Jayesh S. ; Chopade, Nilkanth B. ; Sor, Ravindra ; Tade, Sunil L.

  • Author_Institution
    VLSI & ES, PCCOE, Pune, India
  • fYear
    2015
  • fDate
    26-27 Feb. 2015
  • Firstpage
    790
  • Lastpage
    794
  • Abstract
    From the ancient age, gesture was the first mode of communication, after the evolution of human civilization they developed the verbal communication, but still non-verbal communication is equally significant. Such non-verbal communication is not only used for physically challenged person but also it can be efficiently used for various applications such as 3D gaming, aviation, surveying, etc. This is the best method to interact with computer without any peripheral devices. Many Researchers are still developing robust and efficient new hand gesture recognition techniques. The major steps associated while designing the system are: data acquisition, segmentation and tracking, feature extraction and gesture recognition. There´re different methodologies associated with several substepspresent at each step. A various segmentation and Tracking, feature extraction and recognition techniques are studied and analyzed. This paper reviews the comparative study of various hand gesture recognition techniques which are presented up-till now.
  • Keywords
    data acquisition; feature extraction; gesture recognition; image segmentation; object tracking; data acquisition; feature extraction; hand gesture recognition system; image segmentation; nonverbal communication; object tracking; Computers; Conferences; Feature extraction; Gesture recognition; Image segmentation; Solid modeling; Three-dimensional displays; Feature extraction; Hand gesture recognition; Segmentation & Tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing Communication Control and Automation (ICCUBEA), 2015 International Conference on
  • Conference_Location
    Pune
  • Type

    conf

  • DOI
    10.1109/ICCUBEA.2015.158
  • Filename
    7155956