Abstract
Recently, many researchers have been studying the Brain Computer Interface (BCI). As one of its input signals, the EEG activity when users do motor imagery is analyzed in frequency domain to be detected ERD or ERS. Currently, however, these analysis methods require users' long-term training to detect them and get higher EEG recognition accuracy[1]. In this paper, to avoid these problems, we consider the analysis method for the EEG activity in time domain when subjects do 4 limbs motor imagery. Further, by the feature extraction relating to Movement-Related Cortical Potential(MRCP), we assess the relationship between features and recognition accuracy.
