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Authors: Sara Suda ; Kenta Yamagishi and Kentaro Takemura

Affiliation: Tokai University, Japan

Keyword(s): User Calibration-free, Corneal Surface Image, 3D Eye Model.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Computer Vision, Visualization and Computer Graphics ; Enterprise Information Systems ; Human and Computer Interaction ; Human-Computer Interaction ; Pervasive Smart Cameras

Abstract: Various calibration methods to determine the point-of-regard have been proposed for eye tracking. Although user calibration can be performed for experiments carried out in the laboratory, it is unsuitable when applying an eye-tracker in user interfaces and in public displays. Therefore, we propose a novel calibration-free approach for users that is based on the use of the corneal surface image. As the environmental information is reflected on the corneal surface, we extracted the unwarped image around the point-of-regard from the cornea. The point-of-regard is estimated on the screen by using the unwarped image, and the regression formula is solved using these points without user calibration. We implemented the framework of the algorithm, and we confirmed the feasibility of the proposed method through experiments.

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Paper citation in several formats:
Suda, S.; Yamagishi, K. and Takemura, K. (2017). User Calibration-free Method using Corneal Surface Image for Eye Tracking. In Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 6: VISAPP; ISBN 978-989-758-227-1; ISSN 2184-4321, SciTePress, pages 67-73. DOI: 10.5220/0006100100670073

@conference{visapp17,
author={Sara Suda. and Kenta Yamagishi. and Kentaro Takemura.},
title={User Calibration-free Method using Corneal Surface Image for Eye Tracking},
booktitle={Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 6: VISAPP},
year={2017},
pages={67-73},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006100100670073},
isbn={978-989-758-227-1},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 6: VISAPP
TI - User Calibration-free Method using Corneal Surface Image for Eye Tracking
SN - 978-989-758-227-1
IS - 2184-4321
AU - Suda, S.
AU - Yamagishi, K.
AU - Takemura, K.
PY - 2017
SP - 67
EP - 73
DO - 10.5220/0006100100670073
PB - SciTePress