ABSTRACT
The main aim of Brain Computer Interface (BCI) builds a communicating bridge between brain and peripheral devices [1]–[3]. One of the essential conditions to want better development and popularizing application of the BCI system is finding a kind of signal which could reflect different mental state of brain and could be extracted and classified in real time or short term. Electroencephalogram (EEG) is a noninvasive technology of brain activity, with high resolution, reliability, the amount of information, visual images of features, so it becomes one of the best choices for BCI [4-5].
