Development of EEG Data Acquisition System and Analysis of EEG Signal for Motor Imagery based BCI
Brain Computer Interface enables the brains neural activity to communicate with external devices to control them
like to control machines, artificial limbs and robots to control movements, to control functional electrical stimulators, etc.
. But the real challenges faced by the researchers are acquisition of the required signal according to the user intention. The
feature selection for the classification is also very important. In this paper, the acquisition and analysis of EEG signal for
BCI application is discussed. In our research work, we acquire motor imagery EEG signal from normal subjects and a
number of features are extracted to find the best feature for classification of motor imagery. In that ERD features give better
classification results compared to the other features.
Keywords - Electroencephalograph, BCI, motor imagery, ERD.