Optimizing video-oculography systems by simulating the effect of slippage artifacts

Video-Oculography systems (VOG), video based systems for measuring eye movements, are widely available as a supporting tool for clinical diagnosis of eye movement. The main remaining weakness of these systems is the difficulty to distinguish between eye movements and movements of the camera with respect to the head. In our project we try to classify between movement of the eye and movement of the camera of the VOG system by examining the effect of eye movement and camera movement on the position changes of the center of the pupil and the reflection of a light source which is directly attached to the camera in the image data of VOG systems. Therefore we implemented a simulation model of the eye and of a VOG system to investigate the effect of pure eye movement, pure camera movement and combined eye-camera movement on the objects in the image data.