• DocumentCode
    2537036
  • Title

    The EEG changes during night-time driver fatigue

  • Author

    Xie Xiaoli ; Jiangbi, Hu ; Xiaoming, Liu ; Pingsheng, Li ; Shuyun, Wang

  • Author_Institution
    Transp. Res. Center, Beijing Univ. of Technol., Beijing, China
  • fYear
    2009
  • fDate
    3-5 June 2009
  • Firstpage
    935
  • Lastpage
    939
  • Abstract
    Driver fatigue is one of the main causes of traffic accidents. Many researchers believe that electroencephalography is very accurate and promising to detect driving fatigue, but so far, the research results have been variable. Through simulation experiments, this paper found when driving at night, delta band varies significantly with the degree of fatigue. The results have implications for real-time automatic detecting driver fatigue at night and are helpful for future development of driver fatigue countermeasures.
  • Keywords
    driver information systems; electroencephalography; ergonomics; EEG changes; driver fatigue countermeasures; driving fatigue detection; electroencephalography; night time driver fatigue; real-time automatic detecting driver fatigue; traffic accident; Bioelectric phenomena; Brain modeling; Electroencephalography; Fatigue; Fourier transforms; Frequency; Monitoring; Road accidents; Signal analysis; Transportation;
  • 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.2009.5164405
  • Filename
    5164405