Open Iris - An Open Source Framework for Video-Based Eye-Tracking Research and Development-Reference-Cited by-同舟云学术

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Open Iris - An Open Source Framework for Video-Based Eye-Tracking Research and Development

Published:2024-06-04 Issue: Volume: Page:1-7
ISSN:
Container-title:Proceedings of the 2024 Symposium on Eye Tracking Research and Applications
language:
Short-container-title:

Author:

Sadeghi Roksana¹^ORCID,Ressmeyer Ryan²^ORCID,Yates Jacob¹^ORCID,Otero-Millan Jorge³^ORCID

Affiliation:

1. Herbert Wertheim School of Optometry and Vision Science, University of California, United States

2. Bioengineering, University of Washington, United States

3. Herbert Wertheim School of Optometry and Vision Science, University of California, United States and Department of Neurology, Johns Hopkins University, USA

Funder

National Eye Institute

National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3649902.3653348

Reference33 articles.

1. Eye Tracking in Virtual Reality: a Broad Review of Applications and Challenges

2. Simon Arvin, Rune Nguyen Rasmussen, and Keisuke Yonehara. 2021. EyeLoop: An Open-Source System for High-Speed, Closed-Loop Eye-Tracking. Frontiers in Cellular Neuroscience 15, (2021). Retrieved January 26, 2024 from https://www.frontiersin.org/articles/10.3389/fncel.2021.779628

3. Evaluating Communication Effectiveness Through Eye Tracking: Benefits, State of the Art, and Unresolved Questions

4. openEyeTrack - A high speed multi-threaded eye tracker for head-fixed applications

5. Kathleen E. Cullen. 2023. Chapter 3 - Vestibular motor control. In Handbook of Clinical Neurology David S. Younger (ed.). Elsevier 31–54. https://doi.org/10.1016/B978-0-323-98818-6.00022-4

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