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  3D Gaze Estimation using Eye Vergence

Gutierrez Mlot, E., Bahmani, H., Wahl, S., & Kasneci, E. (2016). 3D Gaze Estimation using Eye Vergence. In J. Gilbert, A. Azhari, & H. Ali (Eds.), BIOSTEC 2016: Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (pp. 125-131). Setúbal, Portugal: Scitepress.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0006-FFB1-3 Version Permalink: http://hdl.handle.net/21.11116/0000-0006-FFB2-2
Genre: Conference Paper

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 Creators:
Gutierrez Mlot, E, Author
Bahmani, H1, Author              
Wahl, S, Author
Kasneci, E, Author
Affiliations:
1External Organizations, ou_persistent22              

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 Abstract: We propose a fast and robust method to estimate the 3D gaze position based on the eye vergence information extracted from eye-tracking data. This method is specially designed for Point-of-Regard (PoR) estimation in non-virtual environments with the aim to make it applicable to the study of human visual attention deployment in natural scenarios. Our approach starts with a calibration step at different depth distances in order to achieve the best depth approximation. In addition, we investigate the distance range, for which state-of-the-art eyetracking technology allows 3D gaze estimation based on eye vergence. Our method provides a mean accuracy of 1.2◦ at a working distance between 200 mm and 400 mm from the user without requiring calibrated lights or cameras.

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 Dates: 2016
 Publication Status: Published in print
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.5220/0005821201250131
 Degree: -

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Title: 9th International Conference on Health Informatics (HEALTHINF 2016)
Place of Event: Roma, Italy
Start-/End Date: 2016-02-21 - 2016-02-23

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Title: BIOSTEC 2016: Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies
Source Genre: Proceedings
 Creator(s):
Gilbert, J, Editor
Azhari, A, Editor
Ali, H, Editor
Affiliations:
-
Publ. Info: Setúbal, Portugal : Scitepress
Pages: - Volume / Issue: 5 Sequence Number: 118 Start / End Page: 125 - 131 Identifier: ISBN: 978-989-758-170-0