Robust Eye-Gaze Estimation Deep Neural Network

Eyeware creates natural and intuitive human-machine interaction experiences using eye-gaze tracking. We propose to design a novel, robust gaze estimation system based on multi-task deep learning that can adapt to challenging conditions, targeting new applications in home automation and advertising.
Idiap Research Institute
Innosuisse - Swiss Innovation Agency
Sep 01, 2017
Dec 31, 2018