The Influence of Visual Attention on the Performance of A Novel Tactile P300 Brain-Computer Interface with Cheeks-Stim Paradigm

Ying Mao, Jing Jin, Ren Xu, Shurui Li, Yangyang Miao, Andrzej Cichocki

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)

Abstract

Tactile P300 brain-computer interface (BCI) generally has a worse accuracy and information transfer rate (ITR) than the visual-based BCI. It may be due to the fact that human beings have a relatively poor tactile perception. This study investigated the influence of visual attention on the performance of a tactile P300 BCI. We designed our paradigms based on a novel cheeks-stim paradigm which attached the stimulators on the subject's cheeks. Two paradigms were designed as follows: a paradigm with no visual attention and another paradigm with visual attention to the target position. Eleven subjects were invited to perform the two paradigms. We also recorded and analyzed the eyeball movement data during the paradigm with visual attention to explore whether the eyeball movement would have an effect on the BCI classification. The average online accuracy was 89.09% for the paradigm with visual attention, which was significantly higher than that of the paradigm with no visual attention (70.45%). Significant difference in ITR was also found between the two paradigms (p < 0.05). The results demonstrated that visual attention was an effective method to improve the performance of tactile P300 BCI. Our findings suggested that it may be feasible to complete an efficient tactile BCI system by adding visual attention.
Original languageEnglish
Article number2150004
JournalInternational Journal of Neural Systems
Volume31
Issue number4
DOIs
Publication statusPublished - Apr 2021
Externally publishedYes

Keywords

  • Brain-computer interface
  • cheeks-stim paradigm
  • tactile P300
  • visual attention

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