Key Laboratory for Advanced Control and Optimization for Chemical Processes, East China University of Science and Technology, Shanghai, P. R. China.
Guger Technologies OG, Graz, Austria.
Int J Neural Syst. 2021 Apr;31(4):2150004. doi: 10.1142/S0129065721500040. Epub 2021 Jan 12.
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 ([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.
触觉 P300 脑机接口（BCI）的准确性和信息传输率（ITR）通常比基于视觉的 BCI 差。这可能是因为人类的触觉感知相对较差。本研究探讨了视觉注意对触觉 P300 BCI 性能的影响。我们基于一种新颖的脸颊刺激范式设计了我们的范式，该范式将刺激器附着在受试者的脸颊上。设计了两种范式：一种是没有视觉注意的范式，另一种是视觉注意目标位置的范式。邀请了 11 名受试者来执行这两种范式。我们还记录和分析了具有视觉注意的范式期间的眼球运动数据，以探讨眼球运动是否会对 BCI 分类产生影响。具有视觉注意的范式的平均在线准确性为 89.09%，明显高于没有视觉注意的范式（70.45%）。两种范式之间也发现了 ITR 的显著差异（[公式：见文本]）。结果表明，视觉注意是提高触觉 P300 BCI 性能的有效方法。我们的研究结果表明，通过添加视觉注意，可能可以实现高效的触觉 BCI 系统。
