Power-efficient and Shift-robust Eye-tracking Sensor for Portable VR Headsets
Date
2019-06
Authors
Katrychuk, Dmytro
Griffith, Henry
Komogortsev, Oleg
Journal Title
Journal ISSN
Volume Title
Publisher
Association for Computing Machinery
Abstract
This repository contains both the complete data sets and supporting code base from the paper entitled "Power-efficient and shift-robust eye-tracking sensor for portable VR headsets," which as been accepted in the Proceedings of the 2019 ACM Symposium On Eye Tracking Research & Applications (ETRA). Full details regarding the contents of each directory and instructions for preparing the processing environment are provided in the "README.md" file, which is contained within the code base directory. The up-to-date codebase is available on GitHub:
https://github.com/pseudowolfvn/psog_nn/tree/etra2019
Description
Keywords
machine learning, photosensor oculography, eye tracking, virtual reality, Computer Science
Citation
Katrychuk, D., Griffith, H. K., & Komogortsev, O. V. (2019). Power-efficient and shift-robust eye-tracking sensor for portable VR headsets. Proceedings of the ACM Symposium on Eye Tracking Research & Applications (ETRA), Denver, CO.