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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 ([Formula: see text]). 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.<\/jats:p>","DOI":"10.1142\/s0129065721500040","type":"journal-article","created":{"date-parts":[[2020,11,20]],"date-time":"2020-11-20T14:42:06Z","timestamp":1605883326000},"page":"2150004","source":"Crossref","is-referenced-by-count":13,"title":["The Influence of Visual Attention on The Performance of A Novel Tactile P300 Brain-Computer Interface with Cheeks-Stim Paradigm"],"prefix":"10.1142","volume":"31","author":[{"given":"Ying","family":"Mao","sequence":"first","affiliation":[{"name":"Key Laboratory for Advanced Control and Optimization for Chemical Processes, East China University of Science and Technology, Shanghai, P. R. China"}]},{"given":"Jing","family":"Jin","sequence":"additional","affiliation":[{"name":"Key Laboratory for Advanced Control and Optimization for Chemical Processes, East China University of Science and Technology, Shanghai, P. R. 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