Classification of People using Eye-Blink Based EOG Peak Analysis

摘要

While Recording Electroencephalography (EEG) the ongoing electrical activity along the scalp, it records brain's spontaneous electrical activity over a short period of time, along with the eye blinks which is one among the many biological artifacts that contaminates the EEG. The EEG signals recorded from alcoholic and control subjects using the presentation of visual stimulus are used in this experiment to find the impact of EOG on EEG of different people. The EEG signals recorded from a set of two experimental categories are analyzed to detect the EOG components like eye blinks buried in it. The detected eye blinks are further analyzed to prove that the alcoholics have lesser object identification power over the controls and there is lesser power in the EOG produced. In this paper, it is proved that using the experiments carried out, EOG based systems are reliable to controls rather than alcoholics if implemented for classifications on any paradigm based applications.