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Authors: Esteban Gutierrez Mlot ; Hamed Bahmani ; Siegfried Wahl and Enkelejda Kasneci

Affiliation: University of Tübingen, Germany

Keyword(s): 3D Calibration, Eye Tracking, Eye Vergence, Gaze Localization, Depth Perception.

Related Ontology Subjects/Areas/Topics: Biomedical Engineering ; Cognitive Informatics ; Health Information Systems ; Practice-based Research Methods for Healthcare IT

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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Paper citation in several formats:
Gutierrez Mlot, E.; Bahmani, H.; Wahl, S. and Kasneci, E. (2016). 3D Gaze Estimation using Eye Vergence. In Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016) - HEALTHINF; ISBN 978-989-758-170-0; ISSN 2184-4305, SciTePress, pages 125-131. DOI: 10.5220/0005821201250131

@conference{healthinf16,
author={Esteban {Gutierrez Mlot}. and Hamed Bahmani. and Siegfried Wahl. and Enkelejda Kasneci.},
title={3D Gaze Estimation using Eye Vergence},
booktitle={Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016) - HEALTHINF},
year={2016},
pages={125-131},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005821201250131},
isbn={978-989-758-170-0},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016) - HEALTHINF
TI - 3D Gaze Estimation using Eye Vergence
SN - 978-989-758-170-0
IS - 2184-4305
AU - Gutierrez Mlot, E.
AU - Bahmani, H.
AU - Wahl, S.
AU - Kasneci, E.
PY - 2016
SP - 125
EP - 131
DO - 10.5220/0005821201250131
PB - SciTePress

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