Abstract
Many kinds of power-assist robots and myoelectric arms using EMG signals have been proposed. Those robots are useful for the elderly or physically weak persons. However, a person who cannot generate EMG signals is not able to use those robots. In recent years, the robots that use EEG signals as input signals instead of EMG signals have been studied. Those robots can be used by persons even if their EMG signals cannot be measured. In this study, a power-assist robot and an artificial arm using EEG signals have been studied. To use EEG signals as input signals for those robots, it is necessary to estimate a user's motion intention from measured EEG signals. In this paper, we discuss the signal processing for the real-time estimation of a user's motion intention from measured EEG signals.
