• DocumentCode
    1841421
  • Title

    EEG Effects of Motion Sickness Induced in a Dynamic Virtual Reality Environment

  • Author

    Chin-Teng Lin ; Shang-Wen Chuang ; Yu-Chieh Chen ; Li-Wei Ko ; Sheng-Fu Liang ; Tzyy-Ping Jung

  • Author_Institution
    Nat. Chiao-Tung Univ., Hsinchu
  • fYear
    2007
  • fDate
    22-26 Aug. 2007
  • Firstpage
    3872
  • Lastpage
    3875
  • Abstract
    The Electroencephalogram (EEG) dynamics which relate to motion sickness are studied in this paper. Instead of providing visual or motion stimuli to the subjects to induce motion sickness, we employed a dynamic virtual-reality (VR) environment in our research. The environment consisted of a 3D surrounding VR scene and a motion platform providing a realistic situation. This environment provided the advantages of safety, low cost, and the realistic stimuli to induce motion sickness. The Motion Sickness Questionnaire (MSQ) was used to assess the sickness level, and the EEG effects on the subjects with high sickness levels were investigated using the independent component analysis (ICA). The fake-epoch extraction was then applied to the nausea-related independent components. Finally we employed the Event-Related Spectral Perturbation (ERSP) technology on the fake-epochs in order to determine the EEG dynamics during motion sickness. The experimental results show that most subjects experienced an 8-10 Hz power increase to their motion sickness-related phenomena in the parietal and motor areas. Moreover, some subjects experienced an EEG power increase of 18-20 Hz in their synchronized responses recorded in the same areas. The motion sickness-related effects and regions can be successfully obtained from our experimental results.
  • Keywords
    digital simulation; electroencephalography; independent component analysis; medical computing; virtual reality; visual evoked potentials; EEG effects; ERSP technology; dynamic virtual reality environment; electroencephalogram dynamics; event related spectral perturbation; fake-epoch extraction; independent component analysis; motion platform; motion sickness; Computer science; Control engineering; Costs; Electroencephalography; Independent component analysis; Layout; Motion analysis; Safety; Vehicle dynamics; Virtual reality; Humans; Models, Biological; Motion Sickness; Photic Stimulation; Signal Processing, Computer-Assisted; User-Computer Interface;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
  • Conference_Location
    Lyon
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-0787-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.2007.4353178
  • Filename
    4353178