Eye tracking on unmodified common tablets

Abstract

This work describes the design and implementation of an eye tracking system on an unmodified common tablet PC. A neural network eye tracker is employed as a solution to eye tracking in the visible spectrum of light. We discuss the challenges related to image recognition and processing, and provide an objective evaluation of the accuracy and sampling rate of eye-gaze-based interaction with such an eye tracker. The results indicate that it is possible to obtain an average accuracy of 4.42° and a sampling rate of 0.70 Hz with the described system.