research-article

Estimating point-of-regard using corneal surface image

Authors:

Kentaro Takemura,

Shunki Kimura,

Sara SudaAuthors Info & Claims

ETRA '14: Proceedings of the Symposium on Eye Tracking Research and Applications

Pages 251 - 254

https://doi.org/10.1145/2578153.2578197

Published: 26 March 2014 Publication History

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Abstract

Recently, the eye-tracker has been developed as a daily-use device. However, when an eye-tracker is used daily, the problem of calibration arises. Even when the calibration for computing the relationship between the scene and eye camera is conducted in advance, the relationship is not maintained in prolonged use. Therefore, we propose a method for conserving the relationship between the scene and eye camera during the execution of an eye-tracking program. The texture information of the corneal surface image is used to estimate the point-of-regard. We confirm the feasibility of the proposed method through preliminary experiments.

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Cited By

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Hou TLin L(2024)Qualitative analysis of the coupling effect of fluid velocity distribution in microchannels on the performance of water-cooling lithium-ion batteries systemExperimental Heat Transfer10.1080/08916152.2024.2420942(1-23)Online publication date: 27-Oct-2024
https://doi.org/10.1080/08916152.2024.2420942
Kanai YTakemura K(2023)Cooperative Eye Tracking and Localization Based on Corneal Imaging2023 IEEE/SICE International Symposium on System Integration (SII)10.1109/SII55687.2023.10039095(1-6)Online publication date: 17-Jan-2023
https://doi.org/10.1109/SII55687.2023.10039095
Müller PBuschek DHuang MBulling AKrejtz KSharif B(2019)Reducing calibration drift in mobile eye trackers by exploiting mobile phone usageProceedings of the 11th ACM Symposium on Eye Tracking Research & Applications10.1145/3314111.3319918(1-9)Online publication date: 25-Jun-2019
https://dl.acm.org/doi/10.1145/3314111.3319918
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Index Terms

Estimating point-of-regard using corneal surface image
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision tasks
2. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction paradigms

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Published In

ETRA '14: Proceedings of the Symposium on Eye Tracking Research and Applications

March 2014

394 pages

ISBN:9781450327510

DOI:10.1145/2578153

Conference Chairs:
Pernilla Qvarfordt
FX Palo Alto Laboratory
,
Dan Witzner Hansen
IT University, Denmark

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

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Published: 26 March 2014

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Ministry of Internal Affairs and Communications, Japan

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ETRA '14

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ETRA '14: Eye Tracking Research and Applications

March 26 - 28, 2014

Florida, Safety Harbor

Acceptance Rates

Overall Acceptance Rate 69 of 137 submissions, 50%

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ETRA '25

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2025 Symposium on Eye Tracking Research and Applications

May 26 - 29, 2025

Tokyo , Japan

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Hou TLin L(2024)Qualitative analysis of the coupling effect of fluid velocity distribution in microchannels on the performance of water-cooling lithium-ion batteries systemExperimental Heat Transfer10.1080/08916152.2024.2420942(1-23)Online publication date: 27-Oct-2024
https://doi.org/10.1080/08916152.2024.2420942
Kanai YTakemura K(2023)Cooperative Eye Tracking and Localization Based on Corneal Imaging2023 IEEE/SICE International Symposium on System Integration (SII)10.1109/SII55687.2023.10039095(1-6)Online publication date: 17-Jan-2023
https://doi.org/10.1109/SII55687.2023.10039095
Müller PBuschek DHuang MBulling AKrejtz KSharif B(2019)Reducing calibration drift in mobile eye trackers by exploiting mobile phone usageProceedings of the 11th ACM Symposium on Eye Tracking Research & Applications10.1145/3314111.3319918(1-9)Online publication date: 25-Jun-2019
https://dl.acm.org/doi/10.1145/3314111.3319918
Lander Clöchtefeld MKrüger A(2018)hEYEbridProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/31611661:4(1-29)Online publication date: 8-Jan-2018
https://dl.acm.org/doi/10.1145/3161166
El Hafi LDing MTakamatsu JOgasawara T(2017)STARE: Realtime, Wearable, Simultaneous Gaze Tracking and Object Recognition from Eye ImagesSMPTE Motion Imaging Journal10.5594/JMI.2017.2711899126:6(37-46)Online publication date: Aug-2017
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Lander CGehring SLöchtefeld MBulling AKrüger AHenze NWoźniak PVäänänen KWilliamson JSchneegass S(2017)EyemirrorProceedings of the 16th International Conference on Mobile and Ubiquitous Multimedia10.1145/3152832.3152839(279-291)Online publication date: 26-Nov-2017
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Hafi LDing MTakamatsu JOgasawara T(2017)Gaze Tracking and Object Recognition from Eye Images2017 First IEEE International Conference on Robotic Computing (IRC)10.1109/IRC.2017.44(310-315)Online publication date: Apr-2017
https://doi.org/10.1109/IRC.2017.44
Nitschke CNakazawa A(2017)Corneal ImagingThe Wiley Handbook of Human Computer Interaction10.1002/9781118976005.ch21(445-514)Online publication date: 28-Dec-2017
https://doi.org/10.1002/9781118976005.ch21
El Hafi LTakemura KTakamatsu JOgasawara T(2015)Model-based approach for gaze estimation from corneal imaging using a single camera2015 IEEE/SICE International Symposium on System Integration (SII)10.1109/SII.2015.7404959(88-93)Online publication date: Dec-2015
https://doi.org/10.1109/SII.2015.7404959
Plopski AKiyokawa KTakemura HNitschke C(2014)Corneal imaging in localization and HMD interaction2014 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)10.1109/ISMAR.2014.6948505(397-400)Online publication date: Sep-2014
https://doi.org/10.1109/ISMAR.2014.6948505

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Abstract

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Cited By

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Estimating 3D point-of-regard and visualizing gaze trajectories under natural head movements

Modeling corneal reflection for eye-tracking considering eyelid occlusion

Corneal Imaging System: Environment from Eyes

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