抄録
Recently, a lot of Brain-Machine Interface using EEG signals is developed many study, and the application to the rehabilitation support machine is expected. In this study, four different tasks corresponding to different brain excitation strengths are designed. Their EEG spectrums are analyzed with short-time FFT, and the features of α wave and β wave of different tasks are extracted, Finally, one joint of a robot arm is controlled by the extracted features, and the proposed approach is confirmed.
