Effect of Electrical Stimulation to Vibration-induced Kinesthetic Illusion

Koki Honda, Shouta Okunami, Hua Chen, Yasutaka Nakashima, Motoji Yamamoto

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

Abstract

The vibration-induced kinesthetic illusion has been studied as a technique to generate the sense of movement in a human for rehabilitation and virtual reality. Although the kinesthetic illusion is a potentially promising method to induce a pseudo sense of movement in a human, there is a problem that the amount of the kinesthetic illusion varies from a parson to a parson. To address this problem, it is necessary to propose a method that increases the amount of illusion even under conditions where the illusion is unlikely to be generated. In this study, the authors tried to enhance the amount of kinesthetic illusion by combining vibration and electrical stimulation. Vibration stimulation was applied to antagonist muscle to generate the kinesthetic illusion and electrical stimulation was given to agonist muscle to generate isometric contraction of a muscle. To investigate the effect of the combined method of vibration and electrical stimulation, the authors carried out experiments under three conditions. The first condition was with vibration stimulation only and the second one and third one were with vibration and low or high voltage electrical stimulation. The experimental results show that the combine of electrical and vibration stimulation increases occurrence rate of illusion. In addition, statistical analysis shows that the amount of illusion was enhanced by combined stimulation method.

Original languageEnglish
Title of host publication2022 World Automation Congress, WAC 2022
PublisherIEEE Computer Society
Pages306-311
Number of pages6
ISBN (Electronic)9798888314449
DOIs
Publication statusPublished - 2022
Event2022 World Automation Congress, WAC 2022 - San Antonio, United States
Duration: Oct 11 2022Oct 15 2022

Publication series

NameWorld Automation Congress Proceedings
Volume2022-October
ISSN (Print)2154-4824
ISSN (Electronic)2154-4832

Conference

Conference2022 World Automation Congress, WAC 2022
Country/TerritoryUnited States
CitySan Antonio
Period10/11/2210/15/22

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering

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