【摘要】 利用Alpha波建立了一个脑-机接口系统,包括脑电数据采集、脑电信号分析、特征提取和分类,并进行了实时在线分析.该脑-机接口系统的工作模式为异步,测试者可以任意选择何时启动系统,并随意选择4个命令中的一个进行输出,是一种更加自然的人机交互方式.实验结果表明,该系统取得了很高的分类正确率,具有很好的实用性.更多还原

【Abstract】 A brain-computer interface(BCI)system was built using Alpha wave,including EEG data acquisition/analysis,feature extraction and classification.The BCI system was real-time analyzed,and the results indicated that its working mode is asynchronous,and it can be started up whenever it is needed.It is a more natural human-computer interaction system,from which any one of four commands can be chosen as output.Experimental results showed that the BCI system has high classification accuracy and practicability.更多还原