@Article{OnurFerhat2014,
author="Onur Ferhat
and Fernando Vilari{\~n}o
and F. Javier Sanchez",
title="A cheap portable eye-tracker solution for common setups.",
journal="Journal of Eye Movement Research",
year="2014",
volume="7",
number="3",
pages="1--10",
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 which can work on a computer with 30Hz sampling rate. After assessing the accuracy of our eye-tracker in elaborated experiments involving 12 subjects under 4 different system setups, we install it on a Raspberry Pi to create a portable stand-alone eye-tracker which achieves 1.42{\textdegree} horizontal accuracy with 3Hz refresh rate for a building cost of 70 Euros.",
optnote=";SIAI",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=2435), last updated on Mon, 27 Jun 2016 17:46:56 +0200",
opturl="http://www.jemr.org/online/7/3/2"
}