An EMG-based human interface for the control of an electrically powered wheelchair

Artifacts mixed with EEG signals, which are measured from around the edge of each eye, are used as the new interfacing means for the handicapped. Artifacts utilized in the experiment are the ones caused by chewing or biting teeth and blinking eyes. These signals might be generally eliminated while analyzing EEG signals because they are regarded as the unwanted ones or the noises. But from the viewpoint of developing an interface applicable in the real world, those signals can be more useful compared to the weak and subtle EEG signals because of their characteristics such as the easiness in creation and the clearness in shape. In this paper, the possibility and validity of using those signals for the communication with computer are examined.