• DocumentCode
    2911580
  • Title

    Driver inattention detection methods: A review

  • Author

    Arun, S. ; Sundaraj, K. ; Murugappan, M.

  • Author_Institution
    Sch. of Mechatron. Eng., Univ. Malaysia Perlis, Ulu Pauh, Malaysia
  • fYear
    2012
  • fDate
    6-9 Oct. 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In recent years, driver inattention or distraction is one of the major causes for road accidents. If the distracted driver is alerted on time, most of the physical injuries, deaths, and economic losses can be avoided. To find if the driver is distracted, an efficient inattention detection system has to be developed. Towards the same, researchers have measured driver inattention level based on any one of the following four measures: (1) subjective ratings from the driver, (2) vehicle based measures, (3) physiological measures and (4) behavioral measures. In this paper, we aim to review the above measures used to detect driver inattention based on their advantages and limitations. The issues to be considered while developing an efficient inattention detection system are discussed. The inattention detection system should be designed in such a way that it triggers the alert system only when the driver is distracted beyond the acceptable limit.
  • Keywords
    behavioural sciences computing; driver information systems; road safety; behavioral measures; deaths; driver distraction; driver inattention detection methods; economic losses; physical injuries; physiological measures; subjective driver ratings; vehicle based measures; Cameras; Cellular phones; Heart rate; Physiology; Position measurement; Vehicles; Visualization; Behavioral Measures; Distraction Detection System; Inattention Detection System; Physiological Measures; Road accidents; Vehicle based measures;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sustainable Utilization and Development in Engineering and Technology (STUDENT), 2012 IEEE Conference on
  • Conference_Location
    Kuala Lumpur
  • ISSN
    1985-5753
  • Print_ISBN
    978-1-4673-1649-1
  • Electronic_ISBN
    1985-5753
  • Type

    conf

  • DOI
    10.1109/STUDENT.2012.6408351
  • Filename
    6408351