TY - JOUR
T1 - A cheap portable eye-tracker solution for common setups
AU - Ferhat, Onur
AU - Vilariño, Fernando
AU - Sánchez, Francisco Javier
PY - 2014/1/1
Y1 - 2014/1/1
N2 - 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° horizontal accuracy with 3Hz refresh rate for a building cost of €70.
AB - 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° horizontal accuracy with 3Hz refresh rate for a building cost of €70.
KW - Eye-tracker
KW - Low cost
KW - Raspberry Pi
KW - Software
KW - Webcam
UR - https://www.scopus.com/pages/publications/84897447695
M3 - Article
SN - 1995-8692
VL - 7
JO - Journal of Eye Movement Research
JF - Journal of Eye Movement Research
IS - 3
M1 - 2
ER -