Relationship Between Delay Time and Sensation in Tactile Feedback for Myoelectric Prosthesis

Taro Shibanoki, Kosuke Jin

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

Abstract

In this paper, we aim to develop a new tactile feedback method for myoelectric prosthetic hands and model the relationship between delay time and sensation in vibration stimulation. For myoelectric prosthetic hands, the tactile sensation can be expressed by vibrating an oscillator attached to the socket based on information obtained from tactile sensors attached to the prosthesis's fingertips. In this case, if there is a time gap between the sensory input and the stimulus, there is a possibility of causing discomfort. Therefore, in the experiment performed, a delay time, Du [s], is set between the start of contact with an object and the start of vibration using a tactile sensor and conducted NRS evaluation. The results showed that the discomfort was generated up to Du = 0.4 [s] and then decreased according to the delay time. The results showed that the discomfort was induced by controlling the timing of the vibration stimulus.

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
Pages275-277
Number of pages3
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

  • Electromyogram
  • Prosthetic hand
  • Tactile feedback
  • Tactile sensation

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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