• DocumentCode
    554093
  • Title

    A real-time command system based on hand gesture recognition

  • Author

    Jufeng Yang ; Jing Xu ; Mingda Li ; Dingzhen Zhang ; Congchao Wang

  • Author_Institution
    Inst. of Machine Intell., Nankai Univ., Tianjin, China
  • Volume
    3
  • fYear
    2011
  • fDate
    26-28 July 2011
  • Firstpage
    1588
  • Lastpage
    1592
  • Abstract
    Based on the idea of natural human-computer interaction, we design and implement a command system based on static hand gesture recognition. Firstly, the system continuously captures images by camera connected to the computer, and then determines whether there exists an available hand area based on the HSV (Hue-Saturation-Value) color model. It takes advantage of Fourier descriptors and K nearest neighbor classification to distinguish four different gestures. Finally, Microsoft Office PowerPoint can be controlled by the command corresponding to the identified gestures. Experiment results show that the system can meet the requirements of practical applications.
  • Keywords
    Fourier transforms; gesture recognition; image classification; image colour analysis; Fourier descriptors; HSV color model; K nearest neighbor classification; Microsoft Office PowerPoint; hue-saturation-value; natural human-computer interaction; real-time command system; static hand gesture recognition; Cameras; Computers; Feature extraction; Gesture recognition; Real time systems; Shape; Training; Hand gesture recognition; command system; human-computer interaction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation (ICNC), 2011 Seventh International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    2157-9555
  • Print_ISBN
    978-1-4244-9950-2
  • Type

    conf

  • DOI
    10.1109/ICNC.2011.6022274
  • Filename
    6022274