Power-efficient and Shift-robust Eye-tracking Sensor for Portable VR Headsets

Date

2019-06

Authors

Katrychuk, Dmytro
Griffith, Henry
Komogortsev, Oleg

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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.

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