P300的BCI汉字在线输入系统

针对在P300的脑-机接口(BCI)汉字输入系统中输入速度较慢的问题,开发了一套新型的汉字拼音输入在线脑-机接口系统.用户界面中设计新型的二级选择模式,减小了用户在实验中的视角转移,并且将自然语言处理(NLP)技术用到此系统中,可以使此套在线系统的正确率和速度都有所提高.实验结果表明:此改进的P300-BCI系统汉字输入速率可达1.37 字·min^-1,有效地提高了汉字的输入速率;随着用户使用次数增多,系统的效果会进一步得到提高,用户与外界交流将会更加方便快捷.

A P300-Based BCI System for Online Chinese Input

To deal with the issue of the slow speed for Chinese input in a P300-based brain-computer interface(BCI), the paper developed a new P300-based BCI system for online Chinese input. By a combination of two-level selection mode and natural language processing methods, the proposed system can not only reduce the user’s sight transfers in the experiment, but also improve the accuracy and transfer rate. The experimental results showed that an average input rate of 1.37 characters per minute was attained for above mention P300-BCI system. Besides, the more the system being used, the better the results could be achieved. It will be more convenient to communicate with the outside world for the users with the improved system.