Motor imagery brain-computer interface (BCI) is a system that sends commands from human
to external devices using brain activity patterns of imagination of a motor action without an
actual movement. In this paper, we compared classification performance among the various
combinations of motor imagery tasks, toward the multi-dimensional control of motor imagery
BCI. We used EEG motor imagery dataset of 99 subjects. Common spatial patterns (CSP)
and linear discriminant analysis (LDA) were applied to extract features and to classify motor …