DeepEye: Deep convolutional network for pupil detection in real environments

Abstract

Robust identification and tracking of the pupil provides key information that can be used in several applications such as controlling gaze-based HMIs (human machine interfaces), designing new diagnostic tools for brain diseases, improving driver safe