The Fastest BCI for Writing Chinese Characters Using Brain Waves

T. W. Huang, Y. Tai, Y. J. Tian, K. Sun
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引用次数: 6

Abstract

This paper presents a BCI (brain-computer interface) system called, "fast Phonics-to-Chinese-Character system", for individuals to write Chinese Characters using his or her brain waves. This research proposes a novel timing coding method to collocate the order of stimuli presentation. Previously, we had developed a Phonics-to-Chinese-Character system that used both the components of the P300 and the N200 of ERPs (event-related potentials) to detect the targets of a user's intention. Although the previously proposed system achieved good performance, we still tried to reduce the time spent on selecting an item. Based on experiences from previous studies, we propose four rules to collocate the timing of stimuli presentation for brain-computer interface, and then introduce a faster system. The results of the clinical experiments show that the proposed method elicits potentials of brain waves effectively for determining a target that was his/her intention. The accuracy of the system is above 95%. The proposed system is also the fastest BCI for writing Chinese characters via brain waves known today. The proposed system was verified as having high academic value and practicability.
用脑电波写汉字的最快脑机接口
本文提出了一种脑机接口系统,即“快速语音转汉字系统”,用于个人利用脑电波书写汉字。本研究提出了一种新的时序编码方法来对刺激呈现顺序进行排序。在此之前,我们已经开发了一个语音到汉字的系统,该系统使用erp(事件相关电位)的P300和N200组件来检测用户意图的目标。虽然之前提出的系统取得了很好的性能,但我们仍然试图减少选择项目所花费的时间。本文在总结前人研究经验的基础上,提出了脑机接口刺激呈现时间的四种配置规则,并提出了一种更快的系统。临床实验结果表明,该方法可以有效地诱发脑电波电位,从而确定目标的意图。该系统的准确率在95%以上。该系统也是目前已知的通过脑电波书写汉字的最快的脑机接口。该系统具有较高的学术价值和实用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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