Feasibility Analysis of Eye Typing with a Standard Webcam

Yi Liu, Bu-Sung Lee, Andrzej Sluzek, Deepu Rajan, Martin J. McKeown

Abstract: With the development of assistive technology, eye typing has become an alternative form of text entry for physically challenged people with severe motor disabilities. However, additional eye-tracking devices need to be used to track eye movements which is inconvenient in some cases. In this paper, we propose an appearance-based method to estimate the person’s gaze point using a webcam, and also investigate some practical issues of the method. The experimental results demonstrate the feasibility of eye typing using the proposed method.