TongueInput: Input Method by Tongue Gestures Using Optical Sensors Embedded in Mouthpiece

Takuma Hashimoto, Suzanne Low, Koji Fujita, Risa Usumi, Hiroshi Yanagihara, Chihiro Takahashi, Maki Sugimoto, Yuta Sugiura

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

5 Citations (Scopus)

Abstract

We proposed a system to recognize tongue gestures by mounting a mouthpiece embedded with an array of photo-reflective sensors, to measure the changes in distance between the tongue surface and the back of the upper teeth when the tongue moves. The system utilizes grayscale images of the sensor values to calculate the HOG feature descriptor and to use SVM to recognize the gesture. We conducted two experiments to evaluate the accuracy of the system to estimate 4 tongue positions and 4 tongue gestures, where we obtained a recognition rate of 85.67% for positions and 77.5% for gestures. However, we observed that we can improve the rate by improving the issues we discovered.

Original languageEnglish
Title of host publication2018 57th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1219-1224
Number of pages6
ISBN (Electronic)9784907764609
DOIs
Publication statusPublished - 2018 Oct 15
Event57th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2018 - Nara, Japan
Duration: 2018 Sept 112018 Sept 14

Publication series

Name2018 57th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2018

Other

Other57th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2018
Country/TerritoryJapan
CityNara
Period18/9/1118/9/14

Keywords

  • Photo-Reflective Sensors
  • Tongue Gestures

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Control and Optimization
  • Instrumentation

Fingerprint

Dive into the research topics of 'TongueInput: Input Method by Tongue Gestures Using Optical Sensors Embedded in Mouthpiece'. Together they form a unique fingerprint.

Cite this