Document Type

Conference Paper

Publication Date

2022

DOI

10.1145/3517031.3532197

Publication Title

ETRA '22: 2022 Symposium on Eye Tracking Research and Applications

Pages

36 (1-3)

Conference Name

2022 Symposium on Eye Tracking Research and Applications, June 8-11, 2022, Seattle, Washington

Abstract

The human gaze characteristics provide informative cues on human behavior during various activities. Using traditional eye trackers, assessing gaze characteristics in the wild requires a dedicated device per participant and therefore is not feasible for large-scale experiments. In this study, we propose a commodity hardware-based multi-user eye-tracking system. We leverage the recent advancements in Deep Neural Networks and large-scale datasets for implementing our system. Our preliminary studies provide promising results for multi-user eye-tracking on commodity hardware, providing a cost-effective solution for large-scale studies.

Comments

© 2022 Copyright held by the owner/author.

This work is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) License.

Original Publication Citation

Mahanama, B. (2022). Multi-user eye-tracking. In F. Shic, E. Kasneci, & et al. (Eds.), ETRA '22: 2022 Symposium on Eye Tracking Research and Applications. (Article 36) Association for Computing Machinery. https://doi.org/10.1145/3517031.3532197

ORCID

0000-0001-7773-7471 (Mahanama)

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