According to the present invention, disclosed is a brain computer interface (BCI) device for recognizing a motion intention of an inspected body. The BCI device comprises: a memory configured to store a motion intention recognizing program; and a processor configured to execute the program. Accordingly as the program is executed, the processor obtains a measured brain signal from an inspected body, calculates a brain signal feature value which corresponds to each of a plurality of preset frequency areas, and performs ranking of classification performance of each frequency area based on the brain signal feature value so as to replace at least one lower frequency area having classification performance, which is a threshold value or less, and the upper frequency area having the highest classification performance with a result value shifted by a preset value.
BCI APPARATUS AND METHOD FOR DETERMINING OPTIMAL FREQUENCY AREA IN BRAIN COMPUTER INTERFACING