抄録
Recently, a lot studies on of Brain-Machine Interfaces using EEG signals are being developed, and the applications to the rehabilitation support machine are expected. In this study, four different tasks corresponding to different brain excitation strengths are designed. Their EEG spectra are analyzed with short-time FFT, and the features of a wave and β wave of different tasks are extracted. A technique for distinguishing on/off of the movement with spectra of EEGs are proposed, and this approach is expected to be used for robot control.
