• DocumentCode
    336285
  • Title

    Prediction of feeling of subject under odor stimulation using physiological information

  • Author

    Tsujimoto, Hiroaki ; Tsutsumi, Masanori ; Nishida, Syogo

  • Author_Institution
    Dept. of Syst. & Human Sci., Osaka Univ., Japan
  • Volume
    3
  • fYear
    1997
  • fDate
    30 Oct-2 Nov 1997
  • Firstpage
    995
  • Abstract
    Some research groups have studied how to evaluate human olfaction objectively, but there has been no attempt to objectively evaluate the subjectivity evoked by an odor stimulation. We have tried to evaluate the feelings of a subject, namely the subjectivity evoked by odor stimulation. In this study, we have measured the EEG activity of a subject who was stimulated by an odor and we have objectively evaluated the influence of the odor stimulation by chaotic analysis and by frequency analysis. We could obtain the effect of odor stimulation even if the subject did not consciously smell the odor. The results showed that, in the favorite odor stimulation, the chaotic value of the EEG data decreased slowly, but that of the unfavorite odor stimulation dispersed quickly. We could measure the change in the feelings of the subject by odor stimulation, and we could predict the feelings of the subject by using several, more suitable explanatory variables selected from the physiological information
  • Keywords
    chaos; chemioception; electroencephalography; frequency-domain analysis; physiology; psychology; statistical analysis; EEG activity; chaotic analysis; explanatory variables; feeling prediction; frequency analysis; human olfaction; multiple regression analysis; odour stimulation; physiological information; smell; subjectivity; Chaos; Electrodes; Electroencephalography; Frequency conversion; Frequency measurement; Humans; Information analysis; Regression analysis; Sampling methods; Time measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 1997. Proceedings of the 19th Annual International Conference of the IEEE
  • Conference_Location
    Chicago, IL
  • ISSN
    1094-687X
  • Print_ISBN
    0-7803-4262-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.1997.756512
  • Filename
    756512