Presenting a Human Pupil Orbit Model (HPOM) for Eye-Gaze Tracking

Eye tracking technology has been continuously researched for application in various fields. In the past, studies have conducted to interpret eye movements 3D space order solve problem of not being able find centre rotation eye. this paper, we propose a novel pre-processing method eye-gaze by monitoring front face with camera. Our works regardless distance between and The proposed includes an analysis technique that simplifies conventional three-dimensional two dimensions. contribution work presents is simplify gaze direction detection. errors our model’s estimations appear be under 1 pixel. addition, approach execution time less than s, enabling adaptive model responds user real time. was overcome problems methods existing still suffer from, including accurately finding rotational user’s eye-ball. Moreover, even when pupil can only monitored from distance, makes it possible produce accurate estimations.