Abstract
Although there are many researches on artificial arms using electromyograph (EMG) signals, some necessary EMG signals that are used to control an artificial arm could not be measured in the case of above elbow amputees. On the other hand, in recent years, an electroencephalogram (EEG) signal which is an electric signal that can be measured along a scalp is used as input signals for many kinds of robots. In artificial arms, an EEG signal is also one of the strong candidates of the input signals to replace other biological signals such as an EMG signal. In this paper, we try to control the elbow and forearm motions of an artificial arm based on EEG signals. To control the joint motions of an artificial arm, we estimate the angular velocities of each joint from measured EEG signals.
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