• DocumentCode
    1921158
  • Title

    A driving posture prediction method based on driver comfort

  • Author

    Sun, Shouqian ; Wu, Qun ; Chai, Chunlei ; Xiong, Yunfei

  • Author_Institution
    Center of Digital Art & Design, Hubei Univ. of Technol., Wuhan
  • fYear
    2006
  • fDate
    17-19 Nov. 2006
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this study, a driving posture prediction method was proposed based on the feeling of driving comfort. At the first, independent variables and dependent variables were selected. Secondly, fuzzy theory was introduced to depict the driver´s feeling of comfort, and then a model was built to assess the relation between design parameters and comfort assessment based on fuzzy SVM. At last, the development of a driver posture is taken as an example in this study
  • Keywords
    automotive engineering; design; ergonomics; fuzzy set theory; support vector machines; driver comfort; driver posture prediction method; fuzzy SVM; fuzzy theory; support vector machines; Automotive engineering; Digital art; Helium; Industrial relations; Muscles; Prediction methods; Process design; Sun; Support vector machine classification; Support vector machines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Aided Industrial Design and Conceptual Design, 2006. CAIDCD '06. 7th International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    1-4244-0683-8
  • Electronic_ISBN
    1-4244-0684-6
  • Type

    conf

  • DOI
    10.1109/CAIDCD.2006.329344
  • Filename
    4127181