Extension in Orientation of Vestibular Sensory Display with Time-Division Galvanic Vestibular Stimulation

DOI Open Access
  • Hara Akiyoshi
    Graduate School of Information Science and Technology, Osaka University Japan Society for the Promotion of Science Research Fellowship for Young Scientists (DC1)
  • Watanabe Ryo
    Graduate School of Information Science and Technology, Osaka University
  • Furukawa Masahiro
    Graduate School of Information Science and Technology, Osaka University Center for Information and Neural Networks (CiNet), National Institute of Information and Communication Technology
  • Maeda Taro
    Graduate School of Information Science and Technology, Osaka University Center for Information and Neural Networks (CiNet), National Institute of Information and Communication Technology

Bibliographic Information

Other Title
  • 時間分割提示型前庭感覚刺激による前庭感覚方位提示ディスプレイの拡張

Description

<p>In previous studies, GVS has achieved vestibular sensory presentation by applying a penetrating current to the vestibular organs in the direction in which vestibular sensation is desired to be presented. However, currents in the head have taken only limited current pathways due to impedance gradients, and as a result, the direction of vestibular sensation presentation has been limited. In this paper, we propose a new method of presenting vestibular sensory based on current pathways, which is time-division multiplexing of multiple basis vectors. The method extends the direction of vestibular sensory presentation, which has been limited by current pathways. By using the method, simultaneous energization of multiple current sources and current pathways can be avoided, and it is expected that mutual interference between them can be avoided. In addition, we succeeded in separating anisotropy of body sway and of vestibular sensitivity to GVS, which have not been discussed in vestibular sensory presentation display with GVS.</p>

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Details 詳細情報について

  • CRID
    1390012114416009472
  • DOI
    10.18974/tvrsj.27.3_210
  • ISSN
    24239593
    1344011X
  • Text Lang
    ja
  • Article Type
    journal article
  • Data Source
    • JaLC
    • KAKEN
  • Abstract License Flag
    Disallowed

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