Recognition of horizontal gaze motion based on electrooculography using tsugeno fuzzy logic

Abstract

Electrooculography is a biosignal activity generated from the human's eyes activity. In this research, the eyes movements (left and right) were recognized by processing the EOG signal. The eyes movements in the horizontal movement were identified from the direction and the magnitude of the gaze angle. The direction of the eyes movements was detected using the polarity of the signal whereas the magnitude of gaze angle was computed using Tsugeno fuzzy method with two approaches, namely area of signal and peak of the signal. The system was able to detect the direction of gaze motion with the accuracy of 100%. The accuracy of the EOG signal in calculating the magnitude of the gaze angle was 93.46% for the right and 89.88% for the left. The number was higher compared to the performance of the peak point with the accuracy of 88.06% for the right and 84.79% for the left. The result in this paper showed that the system was able to detect the direction of eyes movements very well. However, the calculation of the magnitude of eyes movements is still a challenge to be improved in the future.