A motion image classification method is disclosed. The motion image classification method comprises the steps of: (a) enabling a region setting unit included in a motion image classification apparatus to classify a plurality of electrodes attached to a subject into K (K is a natural number of 2 or more) regions; (b) enabling a partial electroencephalogram signal generating unit included in the motion image classification apparatus to generate K partial electroencephalogram signals by combining the electroencephalogram signals output from the electrodes included in each region; (c) enabling a feature extraction unit included in the motion image classification apparatus to calculate a feature by applying a common spatial pattern (CSP) technique to each of the K partial electroencephalogram signals; and (d) enabling a classifying unit included in the motion image classification apparatus to learn a classifier using the extracted feature. Thus, high classification accuracy is provided.
CSP APPARATUS AND METHOD FOR CLASSIFYING MOTOR IMAGERY BASED ON LOCAL CHANNEL REGION ANALYSIS USING COMMON SPATIAL PATTERN