Rights statement: © ACM, 2019. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in ETRA '19 Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications http://doi.acm.org/10.1145/3314111.3319822
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Available under license: CC BY-NC: Creative Commons Attribution-NonCommercial 4.0 International License
Final published version
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Publication date | 25/06/2019 |
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Host publication | Proceedings - ETRA 2019: 2019 ACM Symposium On Eye Tracking Research and Applications |
Editors | Stephen N. Spencer |
Place of Publication | New York |
Publisher | ACM |
Number of pages | 9 |
ISBN (electronic) | 9781450367097 |
ISBN (print) | 9781450367097 |
<mark>Original language</mark> | English |
Name | Eye Tracking Research and Applications Symposium (ETRA) |
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Gaze depth estimation presents a challenge for eye tracking in 3D. This work investigates a novel approach to the problem based on eye movement mediated by the vestibulo-ocular reflex (VOR). VOR stabilises gaze on a target during head movement, with eye movement in the opposite direction, and the VOR gain increases the closer the fixated target is to the viewer. We present a theoretical analysis of the relationship between VOR gain and depth which we investigate with empirical data collected in a user study (N=10). We show that VOR gain can be captured using pupil centres, and propose and evaluate a practical method for gaze depth estimation based on a generic function of VOR gain and two-point depth calibration. The results show that VOR gain is comparable with vergence in capturing depth while only requiring one eye, and provide insight into open challenges in harnessing VOR gain as a robust measure.