Hybrid display of realistic tactile sense using ultrasonic vibrator and force display

Yuta Shiokawa, Atsushi Tazo, Masashi Konyo, Takashi Maeno

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

8 Citations (Scopus)

Abstract

This Paper presents a hybrid tactile displaying method of realistic texture using ultrasonic vibrator and force display. The aim of this study is to display various realistic tactile senses by controlling multiple factors including roughness, softness and friction sense. First, a tactile displaying system was configured for displaying roughness, softness and friction sense simultaneously by compensating the interference among multiple parameters of ultrasonic vibration and force feedback on multiple tactile senses. Second, by conducting several sensory evaluation experiments, the proposed method for displaying softness and friction senses were verified. The relationship between each control parameter and the tactile senses were quantified as well. Then, material discrimination experiment was conducted. As a result, percentage of questions answered correctly was more than 87.5 in all materials. Finally, the tactile senses of real materials and artificial tactile senses were evaluated using adjectives. As a result, the correlation coefficients between real materials and hybrid artificial tactile senses were quite high at the evaluation items on roughness, softness and friction senses.

Original languageEnglish
Title of host publication2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS
Pages3008-3013
Number of pages6
DOIs
Publication statusPublished - 2008 Dec 1
Event2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS - Nice, France
Duration: 2008 Sept 222008 Sept 26

Publication series

Name2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS

Other

Other2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS
Country/TerritoryFrance
CityNice
Period08/9/2208/9/26

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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