• DocumentCode
    2569386
  • Title

    Driver fatigue detection through pupil detection and yawing analysis

  • Author

    Liu, Weiwei ; Sun, Haixin ; Shen, Weijie

  • Author_Institution
    Key Lab. of Underwater Acoust. Commun. & Marine Inf. Technol., Xiamen Univ., Xiamen, China
  • fYear
    2010
  • fDate
    16-18 April 2010
  • Firstpage
    404
  • Lastpage
    407
  • Abstract
    Detecting driver fatigue is an important method to improving transportation safety. This paper presents a fatigue detection system based on pupil detection and yawning analysis. The parameters used for detecting fatigue are: eye closure duration measured through eye state information and yawning analyzed through mouth state information. Because of the IR illuminator, the system works robustly at night time.
  • Keywords
    eye; road safety; sleep; IR illuminator; driver fatigue detection; eye closure duration; eye state information; mouth state information; pupil detection; transportation safety; yawing analysis; Acoustic signal detection; Biomedical monitoring; Cameras; Fatigue; Information analysis; Life estimation; Road accidents; US Department of Transportation; Underwater tracking; Vehicle driving; PERCLOS; driver fatigue; red-eye effect; yawning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedical Technology (ICBBT), 2010 International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-6775-4
  • Type

    conf

  • DOI
    10.1109/ICBBT.2010.5478931
  • Filename
    5478931