A brain-computer interface device, in which a test signal constituted by a brainwave signal is classified into one of a plurality of classes, comprises: a dictionary unit in which a dictionary for classifying test signals has been designed on the basis of various classes of training signals; a solving unit for finding an interpretation of the test signal on the basis of the dictionary; and a classification unit for classifying the test signal on the basis of the distribution of coefficients other than 0 appearing in each class in the interpretation.
BRAIN-COMPUTER INTERFACE DEVICE AND CLASSIFICATION METHOD THEREFOR