基于ssvep的脑机接口系统视错觉的自闪视刺激

Yunyong Punsawad, Nannaphat Siribunyaphat, Y. Wongsawat
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引用次数: 3

摘要

本文提出了一种基于稳态视觉诱发电位(SSVEP)的脑机接口(BCI)系统,利用风车模式视觉刺激诱导人眼视觉。我们必须探索大脑对闪烁模式的反应作为风车模式,三个BCI命令可以通过使用三种不同的风车模式生成。采用SSVEP技术检测反应。分类的平均准确率约为80.5%。利用所提出的视觉刺激模式,可以减轻现有基于ssvep的脑机接口的眼疲劳,增加指令数量。因此,所提出的视觉刺激模式可用于脑机接口的实际应用
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Self-Flickering Visual Stimulus based on Visual illusion for SSVEP-based BCI System
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
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