Design and implementation of gaze tracking system with iPad

Gaze tracking is the process of measuring gaze point or the motion of an eye relative to the head. Gaze tracking technique provides us a brand new way of human computer interaction. In addition, eye gaze tracking can be also applied to support seriously disabled people in using computer. In this paper, we explored the use of eye gaze tracking technology on a tablet device, designed and implemented an eye tracking system on an iPad device. In our system, gaze estimation is based on analyzing the appearances of eyes which are retrieved by the built-in camera on the iPad. Artificial neural networks are employed to estimate the location of the user gaze from the eye region image. The results indicate that it is possible to obtain an accuracy of 82.5% with the proposed system.