Self-Flickering Visual Stimulus based on Visual illusion for SSVEP-based BCI System

Yunyong Punsawad, Nannaphat Siribunyaphat, Yodchanan Wongsawat

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

This paper proposes the use of the windmill pattern visual stimulus to induce human vision by employing a phenomenon of visual illusion for steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI) system. We had to explore the brain response to the flickering pattern as windmill pattern, three BCI commands can be generated by using three different windmill patterns. SSVEP technique was used to detect the response. The average accuracy of classification was approximately 80.5%. With the proposed visual stimulus pattern, it can reduce eye fatigue and increase the number of commands for the existing SSVEP-based BCI. Therefore, the proposed visual stimulus pattern can be used for practical BCI applications.

Original languageEnglish
Title of host publicationBMEiCON 2018 - 11th Biomedical Engineering International Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538657249
DOIs
Publication statusPublished - 10 Jan 2019
Event11th Biomedical Engineering International Conference, BMEiCON 2018 - Chaing Mai, Thailand
Duration: 21 Nov 201824 Nov 2018

Publication series

NameBMEiCON 2018 - 11th Biomedical Engineering International Conference

Conference

Conference11th Biomedical Engineering International Conference, BMEiCON 2018
Country/TerritoryThailand
CityChaing Mai
Period21/11/1824/11/18

Keywords

  • Brain-computer interface
  • Steady-state visual evoked potential
  • Visual illusion

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