• DocumentCode
    700293
  • Title

    Eye tracking system to detect driver drowsiness

  • Author

    Nguyen, T.P. ; Chew, M.T. ; Demidenko, S.

  • Author_Institution
    Centre of Technol., RMIT Univ., Ho Chi Minh City, Vietnam
  • fYear
    2015
  • fDate
    17-19 Feb. 2015
  • Firstpage
    472
  • Lastpage
    477
  • Abstract
    This paper describes an eye tracking system for drowsiness detection of a driver. It is based on application of Viola Jones algorithm and Percentage of Eyelid Closure (PERCLOS). The system alerts the driver if the drowsiness index exceeds a pre-specified level.
  • Keywords
    driver information systems; face recognition; gaze tracking; object detection; PERCLOS; Viola Jones algorithm; driver drowsiness detection; drowsiness index; eye tracking system; percentage of eyelid closure; Accuracy; Brightness; Face; Face detection; Fatigue; Feature extraction; Vehicles; PERCLOS; Viola Jones algorithm; drowsiness index; eye tracking frequency;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation, Robotics and Applications (ICARA), 2015 6th International Conference on
  • Conference_Location
    Queenstown
  • Type

    conf

  • DOI
    10.1109/ICARA.2015.7081194
  • Filename
    7081194