• DocumentCode
    177254
  • Title

    A new algorithm detects pilot fatigue based on machine vision

  • Author

    Zhizhi Guo ; Qianxiang Zhou ; Zhongqi Liu ; Yixuan Lv ; Yun Tian

  • Author_Institution
    Sch. of Biol. Sci. & Med. Eng., Beihang Univ., Beijing, China
  • fYear
    2014
  • fDate
    May 31 2014-June 2 2014
  • Firstpage
    5271
  • Lastpage
    5276
  • Abstract
    Now most of the fatigue objective evaluation methods require a head-mounted eye tracker, electrical testing equipment, etc., and these devices are difficult to use in aircraft cockpit. Thus, a simple and practical method of detecting pilots fatigue is brought forward in this paper. This method firstly judges the open or close state of eyes by accurately finding out the frame of eyelid, and applies it to the PERCLOS detection. Secondly, the essay will explain the calculation of the spatial location of three key points. Thirdly, the essay will describe the face angle, which between the plane of these three points with the plane of human body. Finally, according to the PERCLOS parameters and the angle of human face, it is easier to determine the fatigue state. The research result in this paper is significance for the field of fatigue monitoring and eye gaze tracking.
  • Keywords
    aerospace computing; air safety; aircraft; computer vision; eye; gaze tracking; human factors; image recognition; aircraft cockpit; eye close state; eye gaze tracking; eye open state; eyelid frame; fatigue monitoring; fatigue objective evaluation method; human face angle; machine vision; pilot fatigue detection; spatial location; Decision support systems; Binocular vision; Eye recognition; HSV space; PERCLOS parameter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (2014 CCDC), The 26th Chinese
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4799-3707-3
  • Type

    conf

  • DOI
    10.1109/CCDC.2014.6853121
  • Filename
    6853121