Interface and control of appliances by the analysis of electrooculography signals

Abstract

The movement of the eye is detected by electrooculography (EOG) technology for clinical applications to identify vestibular and ocular disorders. This technique when employed with the human–computer interface (HCI) systems can provide great benefits for the people. The main objective of measurement, analysis, and processing of these signals is to help people who are suffering with lesser motor capabilities. EOG is the technique of recording the bio-potential generated by the movement of the eyes. This is done by positioning the surface electrodes around the eyes and observing the corneo-retinal potential (CRP) between the anterior part and the posterior part of the eye. This sensed potential is linearly proportional to the movement of the eyes. The observed bioelectric signal is in terms of lower voltage, and hence, it is given to signal conditioning circuits to get a more accurate signal. The pattern is recognized for different movements of the eye and it is used for controlling the appliances.