• DocumentCode
    2404969
  • Title

    EyeKeys: A Real-Time Vision Interface Based on Gaze Detection from a Low-Grade Video Camera

  • Author

    Magee, John J. ; Scott, Matthew R. ; Waber, Benjamin N. ; Betke, Margrit

  • Author_Institution
    Boston University, MA
  • fYear
    2004
  • fDate
    27-02 June 2004
  • Firstpage
    159
  • Lastpage
    159
  • Abstract
    There are people that are so severely paralyzed that they only have the ability to control the muscles in their eyes. Communication is limited to the interpretation of eye movements. Currently available human-computer interface systems are often intrusive, require special hardware, or use active infrared illumination. We present a system that runs on an average PC with video input from an inexpensive USB camera. The face is tracked using multi-scale template correlation. Symmetry between left and right eyes is exploited to detect if the computer user is looking at the camera, or off to the left or right side. The detected eye direction can then be used to control applications such as spelling programs or games. We developed the game "BlockEscape" to gather quantitative results to evaluate our interface system with test subjects. We also compared our system to a mouse substitution interface.
  • Keywords
    Application software; Cameras; Communication system control; Eyes; Face detection; Hardware; Lighting; Muscles; System testing; Universal Serial Bus;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition Workshop, 2004. CVPRW '04. Conference on
  • Type

    conf

  • DOI
    10.1109/CVPR.2004.66
  • Filename
    1384957