Eye Tracking Simulation for a Magnetic-based Contact Lens System

Abstract

In this paper, we present a simulation of an eye motion tracking system. The system consists of a moving magnet and three static magnetic sensors, which implies the magnet embedded in a contact lens and sensors fixed on the spectacles in the application scenario. When the eye is moving, the changing relative position between sensors and magnet will result in different sensory outputs that encodes eye movement information. The simulation of eye movements and corresponding magnetic fields was carried out in MATLAB MathWorks software. After collecting the sensory output, artificial neural network was used to decode the signal and classify the direction of gaze. In total 30 different configurations were tested to determine which one gives the highest accuracy. The network prior to each configuration was trained and the output was compared to the actual position of the eye. It was found that the lens misplacement may cause a lot of issues and requires further investigation to lower its impact on the results. This could be fixed by introducing a calibration step. For all of the configurations, usually, the confusion occurred on the neighbouring classes. This could be due to poor design of the classes, where borders of the regions do not overlap, and cause a sudden change. Based on this simulation, better tracking method can be derived.