Classification in frequency domain of EEG Signals of Motor Imagery for Brain Computer Interfaces

In this study the classification of the EEG signals recorded during motor imagery for curser movement in brain computer interfaces is examined, in which the feature vectors obtained in frequency domain is used and then the linear transformations are applied for reducing the size of the feature vectors.