PT Journal
AU Onur Ferhat
   Fernando Vilariño
   F. Javier Sanchez
TI A cheap portable eye-tracker solution for common setups.
SO Journal of Eye Movement Research
JI JEMR
PY 2014
BP 1
EP 10
VL 7
IS 3
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 Euros.
ER