Small logo of ETH main building ETH Zurich : Computer Science : Pervasive Computing : Distributed Systems : Education : Student Projects : Abstract

Gaze Estimation with Convolutional Neural Networks (L)

Status: Vergeben

Eye tracking is an important tool with applications in many different domains. Most current eye tracking applications require dedicated, expensive hardware which hinders the wide deployment of such systems. In this project, we explore an eye tracking approach which only uses the front facing camera on commodity mobile devices.

Requirements: solid C/C++ and/or Python programming skills, background in image processing is necessary. Experience with CNNs is a strong plus

Keywords: convolutional neural network, image processing, mobile

Student/Bearbeitet von: Andrey Ihnatov
Contact/Ansprechpartner: Mihai Bâce, Gábor Sörös

ETH ZurichDistributed Systems Group
Last updated February 3 2017 12:31:20 PM MET mb