@InProceedings{OnurFerhat2013,
author="Onur Ferhat
and Fernando Vilari{\~n}o",
title="A Cheap Portable Eye-Tracker Solution for Common Setups",
booktitle="17th European Conference on Eye Movements",
year="2013",
optkeywords="Low cost",
optkeywords="eye-tracker",
optkeywords="software",
optkeywords="webcam",
optkeywords="Raspberry Pi",
abstract="We analyze the feasibility of a cheap eye-tracker where the hardware consists of a single webcam and a Raspberry Pi device. Our aim is to discover the limits of such a system and to see whether it provides an acceptable performance. We base our work on the open source Opengazer (Zielinski, 2013) and we propose several improvements to create a robust, real-time system. After assessing the accuracy of our eye-tracker in elaborated experiments involving 18 subjects under 4 different system setups, we developed a simple game to see how it performs in practice and we also installed it on a Raspberry Pi to create a portable stand-alone eye-tracker which achieves 1.62{\textdegree} horizontal accuracy with 3 fps refresh rate for a building cost of 70 Euros.",
optnote="MV;SIAI",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=2374), last updated on Thu, 10 Nov 2016 12:13:06 +0100",
file=":http://refbase.cvc.uab.es/files/FeV2013a.pdf:PDF"
}