@inproceedings{dac1d7f3019f45ecbeb190aabb75aed3,
title = "EyeLinks: Methods to compute reliable stereo mappings used for eye gaze tracking",
abstract = "We present methods for extracting corneal images and estimating pupil centers continuously and reliably using head worn glasses that consists of two eye cameras. An existing CNN was modified for detecting pupils in IR and RGB images, and stereo vision together with 2D and 3D models are used. We confirm the feasibility of the proposed methods through user study results, which show that the methods can be used in future real gaze estimation systems.",
keywords = "Corneal Imaging, Gaze Estimation, Mapping Transformation",
author = "Moayad Mokatren and Tsvi Kuflik and Ilan Shimshoni",
note = "Publisher Copyright: {\textcopyright} 2020 ACM.; 2020 ACM Symposium on Eye Tracking Research and Applications, ETRA 2020 ; Conference date: 02-06-2020 Through 05-06-2020",
year = "2020",
month = feb,
day = "6",
doi = "10.1145/3379156.3391354",
language = "English",
series = "Eye Tracking Research and Applications Symposium (ETRA)",
publisher = "Association for Computing Machinery",
editor = "Spencer, {Stephen N.}",
booktitle = "Proceedings ETRA 2020 Short Papers - ACM Symposium on Eye Tracking Research and Applications, ETRA 2020",
}