• DocumentCode
    504256
  • Title

    The extraction of riding condition system using the EEG

  • Author

    Mitsukura, Yasue ; Fukai, Hironobu ; Suzuki, Satoru ; Tomita, Yohei ; Watai, Hirokazu ; Tashiro, Katsumi ; Murakami, Kazutomo

  • Author_Institution
    Tokyo Univ. of Agric. & Technol., Koganei, Japan
  • fYear
    2009
  • fDate
    18-21 Aug. 2009
  • Firstpage
    4442
  • Lastpage
    4445
  • Abstract
    In this paper, we propose an extraction method of ride comfort according to the difference of the tire by electroencephalogram (EEG). Recently, the sensory evaluation is used for development of the product. However, the sensory evaluation by a general user who doesn´t have a clear standard is unstable. Moreover, ride comfort depends on the sensibility and the preference of the individual. It is considered that these psychological changes influence the brain that rules center of sensation. Therefore, we pay attention to the EEG. We use the EEG that it is possible to measure it simply in the brain function measurement technique as an objective evaluation. In this study, the feature of the EEG during the driving is extracted by the factor analysis (FA). Moreover, we investigate the correlation of the subjective evaluation and the EEG features. From the result, the EEG features and subjective evaluation features has correlation. Thus, the effectiveness of the proposed method as an objective evaluation method was shown.
  • Keywords
    brain; electroencephalography; feature extraction; neurophysiology; psychology; EEG; brain function measurement technique; electroencephalogram; factor analysis; feature extraction; psychological changes; riding condition system; sensation; sensory evaluation; subjective evaluation correlation; tire; Agriculture; Bandwidth; Brain modeling; Electrodes; Electroencephalography; Frequency estimation; Measurement techniques; Psychology; Roads; Tires;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    ICCAS-SICE, 2009
  • Conference_Location
    Fukuoka
  • Print_ISBN
    978-4-907764-34-0
  • Electronic_ISBN
    978-4-907764-33-3
  • Type

    conf

  • Filename
    5332985