Wheelchair control system by using electrooculogram signal processing

Masaki Nakanishi, Yasue Mitsukura

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

7 Citations (Scopus)

Abstract

This study aims to propose electrooculogram signal processing method for voluntary eye blink detection and apply it to wheelchair control system. In this study, we defined double blink and wink as a voluntary eye blink, and normal blink as an involuntary blink. The proposed method can detect voluntary eye blinks in distinction from involuntary eye blinks with 98.28 percent accuracy. Additionally, we showed the effectiveness of wheelchair control system.

Original languageEnglish
Title of host publicationFCV 2013 - Proceedings of the 19th Korea-Japan Joint Workshop on Frontiers of Computer Vision
Pages137-142
Number of pages6
DOIs
Publication statusPublished - 2013 Apr 15
Event19th Korea-Japan Joint Workshop on Frontiers of Computer Vision, FCV 2013 - Incheon, Korea, Republic of
Duration: 2013 Jan 302013 Feb 1

Publication series

NameFCV 2013 - Proceedings of the 19th Korea-Japan Joint Workshop on Frontiers of Computer Vision

Other

Other19th Korea-Japan Joint Workshop on Frontiers of Computer Vision, FCV 2013
CountryKorea, Republic of
CityIncheon
Period13/1/3013/2/1

Keywords

  • Brain-machine interfaces
  • Electrooculogram
  • Powered wheelchair
  • Voluntary eye blink

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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  • Cite this

    Nakanishi, M., & Mitsukura, Y. (2013). Wheelchair control system by using electrooculogram signal processing. In FCV 2013 - Proceedings of the 19th Korea-Japan Joint Workshop on Frontiers of Computer Vision (pp. 137-142). [6485476] (FCV 2013 - Proceedings of the 19th Korea-Japan Joint Workshop on Frontiers of Computer Vision). https://doi.org/10.1109/FCV.2013.6485476