• DocumentCode
    2314149
  • Title

    A Neuro-Genetic System Design for Monitoring Driver´s Fatigue: A Design Approach

  • Author

    Narole, N.G. ; Bajaj, P.R.

  • Author_Institution
    G.H. Raisoni Coll. of Eng., Nagpur
  • fYear
    2008
  • fDate
    16-18 July 2008
  • Firstpage
    711
  • Lastpage
    714
  • Abstract
    International statistics shows that a large number of road accidents are caused by driver fatigue. Therefore, a system that can detect oncoming driver fatigue and issue timely warning could help to prevent many accidents, and consequently save money and reduce personal suffering. In this proposed system security camera can be used that points directly towards the driverpsilas face and monitors the driverpsilas eyes & mouth in order to detect fatigue. If the fatigue is detected a warning signal is issued to alert the driver. The skin color based algorithm is used to detect the face of the driver. Once the face area is found, the eyes and mouth can be found by thresholding & segmentation process. The propose system uses neural network along with genetic algorithm for detecting the driverpsilas fatigue, named as neuron-genetic system.
  • Keywords
    accident prevention; driver information systems; face recognition; image colour analysis; image segmentation; road accidents; driver fatigue; face detection; fatigue detection; international statistics; neuro-genetic system; personal suffering; road accidents; segmentation process; skin color based algorithm; system security camera; thresholding process; warning signal; Cameras; Eyes; Face detection; Fatigue; Monitoring; Mouth; Road accidents; Security; Signal detection; Statistics; Neuro-Genetic -System;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Trends in Engineering and Technology, 2008. ICETET '08. First International Conference on
  • Conference_Location
    Nagpur, Maharashtra
  • Print_ISBN
    978-0-7695-3267-7
  • Electronic_ISBN
    978-0-7695-3267-7
  • Type

    conf

  • DOI
    10.1109/ICETET.2008.195
  • Filename
    4579992