A MEAN THRESHOLD ALGORITHM FOR DETECTION OF HUMAN EYE ACTIVITIES USING EEG TECHNIQUE

A mean threshold algorithm is proposed to detect eye activities using ElectroEncephaloGraphy (EEG) technique in this paper. The activities of eyes such as blinking two eyes, left eye and right eye related to the delta area of human brain are investigated. Before analyzing the EEG data, original data are filtered to reduce noise or artifacts by a band-pass filter. The proposed threshold method is applied to distinguish the phenomenon of eye activities and then one can count the number of eye blink times per second. This study can be useful for diagnosing eye diseases such as dry eye and creating a BCI system such as wheelchair control or home lamp control. Experimental results show that the proposed threshold approach is the effectiveness
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