• DocumentCode
    3113254
  • Title

    A study of classification for driver conditions using driving behaviors

  • Author

    Imamura, Takashi ; Yamashita, Hagito ; Zhang, Zhong ; Othman, Md Rizal Bin ; Miyake, Tetsuo

  • Author_Institution
    Dept. of Production Syst. Eng., Toyohashi Univ. of Technol., Tempaku
  • fYear
    2008
  • fDate
    12-15 Oct. 2008
  • Firstpage
    1506
  • Lastpage
    1511
  • Abstract
    Prevention for car accident is one of main issue in the car-oriented society. This research aims at the development of fundamental solution for decrease the car accidents. For this purpose, driver model for evaluation of abnormal driver´s operations through the handling behavior are proposed. In this paper, analysis method for driver´s operations of left-turning in a intersection and sensing method using steering wheel with pressure sensors have been discussed. Through the experimental results and questionnaire survey with 11 subjects, validity of the proposed analysis method has been confirmed. And the basic design of steering wheel for sensing also defined based on the grabing style survey.
  • Keywords
    accident prevention; behavioural sciences computing; driver information systems; pattern classification; steering systems; wheels; abnormal drivers behavior operation; car accident prevention; driver condition classification; driver model; left-turning handling behavior; pressure sensor; sensing method; steering wheel operation; Air accidents; Biosensors; Control systems; Production systems; Road accidents; Systems engineering and theory; Vehicle crash testing; Vehicle driving; Vehicle safety; Wheels; Driving behavior; Safe driving assistance; Steering wheel for sensing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2008. SMC 2008. IEEE International Conference on
  • Conference_Location
    Singapore
  • ISSN
    1062-922X
  • Print_ISBN
    978-1-4244-2383-5
  • Electronic_ISBN
    1062-922X
  • Type

    conf

  • DOI
    10.1109/ICSMC.2008.4811499
  • Filename
    4811499