• DocumentCode
    534991
  • Title

    Driver fatigue monitoring method based on multi-information fusion

  • Author

    He, Han ; Pang, Changle ; Li, Qiuyan

  • Author_Institution
    Coll. of Eng., China Agric. Univ., Beijing, China
  • Volume
    1
  • fYear
    2010
  • fDate
    16-18 Oct. 2010
  • Firstpage
    110
  • Lastpage
    113
  • Abstract
    By comparing existing motor driver fatigue monitoring methods, a fast algorithm to locate eye based on eye characteristics is proposed. More than one fatigue indicators are extracted by recognizing the state of eye, combined with facial fatigue indicator, a non-contact detection method based on image processing techniques for driver fatigue monitoring is proposed. Experimental results show that the method can quickly locate eyes with great accuracy, an extension of coverage, and evaluate the driver´s fatigue state through eye and face state characteristics with driver-friendly feature.
  • Keywords
    accident prevention; face recognition; road safety; sensor fusion; eye characteristic; face state characteristic; facial fatigue indicator; image processing technique; motor driver fatigue monitoring; multiinformation fusion; noncontact detection method; Accuracy; Driver circuits; Face; Fatigue; Image color analysis; Monitoring; Skin; Driving fatigue; Skin-color model; eye detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing (CISP), 2010 3rd International Congress on
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4244-6513-2
  • Type

    conf

  • DOI
    10.1109/CISP.2010.5646318
  • Filename
    5646318