• DocumentCode
    3540072
  • Title

    Riyadisi — Intelligent driver monitoring system

  • Author

    Darshana, K.U.G.S. ; Fernando, M.D.Y. ; Jayawadena, S.S. ; Wickramanayake, S.K.K.

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Univ. of Moratuwa, Moratuwa, Sri Lanka
  • fYear
    2013
  • fDate
    11-15 Dec. 2013
  • Firstpage
    286
  • Lastpage
    286
  • Abstract
    Road accidents have become a major problem that causes nearly 1.3 million people die and 25-50 million people injured or disabled in each year all around the world. It has been calculated that 10% to 20% of traffic accidents with dead drivers are caused by driver inattention. Drowsiness and distraction of drivers have become the main causes for driver inattention. Drowsiness is something unavoidable and out of control of the driver. Sleepiness increases reaction time and generates the decreased vigilance level, alertness and concentration. Hence the quality of decision making may be affected. Reduced attention and raised reaction time increase the probability of road accidents. Distractions such as looking away, using mobile phone or navigation systems are also obviously cause to make driver loses his/ her focus.
  • Keywords
    computerised monitoring; driver information systems; human factors; infrared imaging; video cameras; video signal processing; video streaming; IR camera; Riyadisi; alertness; automated driver attention assistance system; decision making; distraction; driver concentration; driver inattention; drowsiness; intelligent driver monitoring system; reaction time; road accident probability; sleepiness; traffic accidents; video stream; vigilance level; Biomedical monitoring; Monitoring; Real-time systems; Road accidents; Sleep; Vehicles; Visualization; Computer Vision; Driver drowsiness and distraction detection; Machine Learning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advances in ICT for Emerging Regions (ICTer), 2013 International Conference on
  • Conference_Location
    Colombo
  • Print_ISBN
    978-1-4799-1275-9
  • Type

    conf

  • DOI
    10.1109/ICTer.2013.6761200
  • Filename
    6761200