• DocumentCode
    2527286
  • Title

    Riding condition extraction system by the EEG analysis

  • Author

    Tomita, Yohei ; Fukai, Hironobu ; Mitsukura, Yasue

  • Author_Institution
    Grad. Sch. of Bio-Applic. & Syst. Eng., Tokyo Univ. of Agric. & Technol., Tokyo, Japan
  • fYear
    2010
  • fDate
    13-15 Sept. 2010
  • Firstpage
    282
  • Lastpage
    285
  • Abstract
    In this paper, we propose the electroencephalography (EEG) feature extraction method of the change in riding comfort according to the difference of the tire. It is a proposal of the objective evaluation technique. The feature of the EEG during the driving is extracted by the factor analysis. Moreover, the correlation between the subjective evaluation and the detected features of EEG is calculated. Then, the effectiveness of the proposed method as a objective evaluation technique was shown from the result.
  • Keywords
    electroencephalography; feature extraction; medical signal processing; statistical analysis; electroencephalography feature extraction; objective evaluation technique; riding condition extraction system; Correlation; Driver circuits; Electrodes; Electroencephalography; Feature extraction; Roads; Tires;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    RO-MAN, 2010 IEEE
  • Conference_Location
    Viareggio
  • ISSN
    1944-9445
  • Print_ISBN
    978-1-4244-7991-7
  • Type

    conf

  • DOI
    10.1109/ROMAN.2010.5598637
  • Filename
    5598637