Visual fatigue monitoring system based on eye-movement and eye-blink detection

In this paper, we proposed a visual fatigue monitoring system based on eye-movement and eye-blink detection. It analyzes the eye-movement and number of blinks based on the assumption that saccade movement of the eye decreases and the number of eye blink increases when visual fatigue of viewer is accumulated. The proposed system has an infrared single camera and an infrared light source. Then, the pupil of the eye can be detected by applying binary threshold to Purkinje image. The threshold is automatically selected by two constraints which are the eccentricity of ellipse fitting and the size of the pupil. Finally, total amount of eye movement and the number of eye blinks are measured by using the positions of the pupil. The results were obtained while watching stereoscopic videos after personal calibration procedure. The results show that saccade movement of the eye decreases as the visual fatigue of the viewer is accumulated. However, the number of eye blinks shows large variance along the time axis which implies it is not proper for visual fatigue monitoring system.