A Mean Threshold Algorithm for Human Eye Blinking Detection Using EEG

Abstract

A mean threshold algorithm was proposed to detect eye blinking using ElectroEncephaloGraphy (EEG) in this paper. Firstly, the activity of eye blinking related to the delta area of human brain was investigated using EEG technology. Before analyzing the EEG data, original data were smoothed to reduce noise or artifacts by a band-pass filter. Secondly, the proposed threshold method was applied to determine a threshold value which can be used to distinguish cases of eye blinking and opened eye. Moreover, the phenomenon of eye blinking can be useful for diagnosing eye diseases such as dry eye or congenital glaucoma. Experimental results showed that the proposed eye blinking threshold approach is the effectiveness.