To control wearable robots based on the user’s motion
intention, the user’s EMG signals are widely used as input
signals because the EMG signals highly correlate with the
motion. The number of the necessary EMG signals is defined
depending on DOFs of the robot. However, EMG signals that
are needed to estimate the user’s motion intention are not
always available with all users. In this paper, a user’s motion
estimation method was proposed to control the wearable robots
based on the user’s motion intention. In the proposed method,
EEG signals are applied to compensate for the lack of the
necessary EMG signals. The estimation results show the
effectiveness of the proposed estimation method.