Effects of Tactile Stimulation Near the Auricle on Body Sway During Foot Stamping

Masaya Tadokoro, Taro Shibanoki, Hideyuki Tonooka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper describes the effects of tactile stimulation near the auricles on body sway in during foot stamping. The system measures center of pressure, acceleration of upper body, and whole-body movements by skeleton tracking with a depth camera while the participant performs foot stamping on the stabilometer, and extracts evaluation indices based on four perspectives: The amplitude, variation of body sway, rhythm of body sway, and correlation between of each limb. In the prototype experiment conducted with one healthy male, the body sway during foot stamping for ten trials in non-stimulus condition is compared with that for two trials in stimulus condition that the constant tactile stimulus is applied. As a result, the variation of the movement of lower limb and upper body sway were significantly reduced. This result implies that applying the constant tactile stimulation near both of auricles may be effective in stabilizing posture during foot stamping.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Artificial Life and Robotics, ICAROB 2022
EditorsYingmin Jia, Takao Ito, Ju-Jang Lee
PublisherALife Robotics Corporation Ltd
Pages278-281
Number of pages4
ISBN (Print)9784990835071
Publication statusPublished - 2022
Event27th International Conference on Artificial Life and Robotics, ICAROB 2022 - Virtual, Online
Duration: Jan 20 2022Jan 23 2022

Publication series

NameProceedings of International Conference on Artificial Life and Robotics
ISSN (Electronic)2435-9157

Conference

Conference27th International Conference on Artificial Life and Robotics, ICAROB 2022
CityVirtual, Online
Period1/20/221/23/22

Keywords

  • Body sway
  • Center of pressure
  • Dynamic balance function
  • Foot-stamping
  • Tactile stimulation

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Information Systems
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Modelling and Simulation

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