• DocumentCode
    2536818
  • Title

    Driver inattention monitoring system for intelligent vehicles: A review

  • Author

    Dong, Yanchao ; Hu, Zhencheng ; Uchimura, Keiichi ; Murayama, Nobuki

  • Author_Institution
    Grad. Sch. of Sci. & Technol., Kumamoto Univ., Kumamoto, Japan
  • fYear
    2009
  • fDate
    3-5 June 2009
  • Firstpage
    875
  • Lastpage
    880
  • Abstract
    This paper gives a review of the literature on driver inattention monitoring system for the purpose of active safe driving. In this paper driving inattention is classified into two categories: fatigue and distraction, while fatigue and distraction can also contain many types and levels. Individual difference on inattention phenomenon makes it more complicated to correctly detect and recognize driving inattention. Driver attention monitoring has been intensively researched in recent years and many approaches have been proposed, which include biological signal (EEG, ECG, EOG and sEMG) processing method, subjective report method, and behavior analysis method. This survey reviews a number of promising approaches and provides an overview of recent developments in this domain. The emphasis of this paper is to discuss the various methodologies to monitor driving inattention. We conclude with some thoughts about future directions.
  • Keywords
    automated highways; driver information systems; road safety; active safe driving; distraction; driver inattention monitoring system; fatigue; intelligent vehicle; Accidents; Biomedical monitoring; Computer crashes; Delay; Eyes; Fatigue; Intelligent vehicles; US Department of Transportation; Vehicle driving; Vehicle safety;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Vehicles Symposium, 2009 IEEE
  • Conference_Location
    Xi´an
  • ISSN
    1931-0587
  • Print_ISBN
    978-1-4244-3503-6
  • Electronic_ISBN
    1931-0587
  • Type

    conf

  • DOI
    10.1109/IVS.2009.5164395
  • Filename
    5164395