• DocumentCode
    2197938
  • Title

    Advanced mouse pointer control using trajectory-based gesture recognition

  • Author

    Manchanda, Kabeer ; Bing, Benny

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
  • fYear
    2010
  • fDate
    18-21 March 2010
  • Firstpage
    412
  • Lastpage
    415
  • Abstract
    In this paper, a method to control the movement of a mouse pointer using simple hand gestures and a webcam is proposed. A real-time tracking algorithm is implemented based on adaptive skin detection and motion analysis. Using the history of motion, the trajectory of the movement of the hand is drawn and then used to identify a gesture. A region of interest algorithm is proposed, in order to scale the motion when the user is located far away from the point of capture. The motion of the mouse pointer is scaled accordingly. Demonstrations using our prototype clearly illustrate the benefits of our system.
  • Keywords
    cameras; gesture recognition; mouse controllers (computers); adaptive skin detection; motion analysis; mouse pointer control; region-of-interest algorithm; trajectory-based gesture recognition; webcam; Algorithm design and analysis; Change detection algorithms; Detectors; Equations; Flowcharts; Human computer interaction; Mice; Motion detection; Pixel; Skin; Background modeling; Gesture recognition; Mouse control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IEEE SoutheastCon 2010 (SoutheastCon), Proceedings of the
  • Conference_Location
    Concord, NC
  • Print_ISBN
    978-1-4244-5854-7
  • Type

    conf

  • DOI
    10.1109/SECON.2010.5453841
  • Filename
    5453841