research-article

EyeTab: model-based gaze estimation on unmodified tablet computers

Authors:

Andreas BullingAuthors Info & Claims

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

Pages 207 - 210

https://doi.org/10.1145/2578153.2578185

Published: 26 March 2014 Publication History

Abstract

Despite the widespread use of mobile phones and tablets, hand-held portable devices have only recently been identified as a promising platform for gaze-aware applications. Estimating gaze on portable devices is challenging given their limited computational resources, low quality integrated front-facing RGB cameras, and small screens to which gaze is mapped. In this paper we present EyeTab, a model-based approach for binocular gaze estimation that runs entirely on an unmodified tablet. EyeTab builds on set of established image processing and computer vision algorithms and adapts them for robust and near-realtime gaze estimation. A technical prototype evaluation with eight participants in a normal indoors office setting shows that EyeTab achieves an average gaze estimation accuracy of 6.88° of visual angle at 12 frames per second.

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Cited By

Jia YLiu ZLv YLu XLiu XChen J(2025)Frequency-spatial interaction network for gaze estimationDisplays10.1016/j.displa.2024.10287886(102878)Online publication date: Jan-2025
https://doi.org/10.1016/j.displa.2024.102878
Liu CYu CWang XJiang JYang TTang BShi YLiang CShi Y(2024)CalibRead: Unobtrusive Eye Tracking Calibration from Natural Reading BehaviorProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36997378:4(1-30)Online publication date: 21-Nov-2024
https://dl.acm.org/doi/10.1145/3699737
Wagner TColley MBreckel DKösel MRukzio E(2024)UnitEye: Introducing a User-Friendly Plugin to Democratize Eye Tracking Technology in Unity EnvironmentsProceedings of Mensch und Computer 202410.1145/3670653.3670655(1-10)Online publication date: 1-Sep-2024
https://dl.acm.org/doi/10.1145/3670653.3670655
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Index Terms

EyeTab: model-based gaze estimation on unmodified tablet computers
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision problems
        Reconstruction

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cover image ACM Conferences

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

Copyright © 2014 ACM.

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Publication History

Published: 26 March 2014

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ETRA '14

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ETRA '14: Eye Tracking Research and Applications

March 26 - 28, 2014

Florida, Safety Harbor

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Overall Acceptance Rate 69 of 137 submissions, 50%

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Cited By

Jia YLiu ZLv YLu XLiu XChen J(2025)Frequency-spatial interaction network for gaze estimationDisplays10.1016/j.displa.2024.10287886(102878)Online publication date: Jan-2025
https://doi.org/10.1016/j.displa.2024.102878
Liu CYu CWang XJiang JYang TTang BShi YLiang CShi Y(2024)CalibRead: Unobtrusive Eye Tracking Calibration from Natural Reading BehaviorProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36997378:4(1-30)Online publication date: 21-Nov-2024
https://dl.acm.org/doi/10.1145/3699737
Wagner TColley MBreckel DKösel MRukzio E(2024)UnitEye: Introducing a User-Friendly Plugin to Democratize Eye Tracking Technology in Unity EnvironmentsProceedings of Mensch und Computer 202410.1145/3670653.3670655(1-10)Online publication date: 1-Sep-2024
https://dl.acm.org/doi/10.1145/3670653.3670655
Park YManduchi R(2024)A Functional Usability Analysis of Appearance-Based Gaze Tracking for AccessibilityProceedings of the 2024 Symposium on Eye Tracking Research and Applications10.1145/3649902.3656363(1-7)Online publication date: 4-Jun-2024
https://dl.acm.org/doi/10.1145/3649902.3656363
Zhong WXia CZhang DHan J(2024)Uncertainty Modeling for Gaze EstimationIEEE Transactions on Image Processing10.1109/TIP.2024.336453933(2851-2866)Online publication date: 2024
https://doi.org/10.1109/TIP.2024.3364539
Xu XChen JLi CFu CYang LYan YLyu Z(2024)Robust Gaze Point Estimation for Metaverse With Common Mode Features Suppression NetworkIEEE Transactions on Consumer Electronics10.1109/TCE.2024.335119070:1(2090-2098)Online publication date: Feb-2024
https://doi.org/10.1109/TCE.2024.3351190
Mahmud ZHungler PEtemad A(2024)Multistream Gaze Estimation With Anatomical Eye Region Isolation by Synthetic to Real Transfer LearningIEEE Transactions on Artificial Intelligence10.1109/TAI.2024.33661745:8(4232-4246)Online publication date: Aug-2024
https://doi.org/10.1109/TAI.2024.3366174
Mahanama BAshok VJayarathna S(2024)Multi-Eyes: A Framework for Multi-User Eye-Tracking using Webcameras2024 IEEE International Conference on Information Reuse and Integration for Data Science (IRI)10.1109/IRI62200.2024.00069(308-313)Online publication date: 7-Aug-2024
https://doi.org/10.1109/IRI62200.2024.00069
Wu LShi B(2024)Merging Multiple Datasets for Improved Appearance-Based Gaze EstimationPattern Recognition10.1007/978-3-031-78341-8_6(77-90)Online publication date: 2-Dec-2024
https://doi.org/10.1007/978-3-031-78341-8_6
Du LLan G(2023)FreeGaze: Resource-efficient Gaze Estimation via Frequency-domain Contrastive LearningProceedings of the 2023 International Conference on embedded Wireless Systems and Networks10.5555/3639940.3639949(60-71)Online publication date: 15-Dec-2023
https://dl.acm.org/doi/10.5555/3639940.3639949
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