本文的工作重点在前端，设计了一种进行意识思维任务时脑电信号(EEG)的高辨识率二分类bci，并提出了一种应用此二分类bci进行多种工作任务识别的方法。
Here the focus is the front, designing a high classification BCI only using simple sensibilities mental task EEG signal and indication a method using this BCI to sort many kinds of tasks.
目的在基于思维作业的脑-机接口中，探讨如何提取脑电信号特征并对其进行准确有效地分类。
Objective To investigate some methods on extraction and classification of electroencephalography (EEG) signals during mental tasks for designing brain computer interfaces (BCI).
目的在基于思维作业的脑-机接口中，探讨如何提取脑电信号特征并对其进行准确有效地分类。
Objective To investigate some methods on extraction and classification of electroencephalography (EEG) signals during mental tasks for designing brain computer interfaces (BCI).
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