Target Selection Based on Gaze Likelihood on Eye Interface

Abstract

In recent year, device operation by eyes input appear. The device has merit which can be operation without hand. However, user can't be pointing stable by eyes input. Therefore, it is difficult to perform stable target selection. In this paper，gaze point is regarded as which has spatial spread. Then, considered the past of gaze point. We propose a method of select Icon which is the most of gaze likelihood. Thereby, target selection is improved extremely 32.7% to 76.2%.