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Taxonomic study of polynomial regressions applied to the calibration of video-oculographic systems

Authors:

Juan J. Cerrolaza,

Arantxa Villanueva,

Rafael CabezaAuthors Info & Claims

ETRA '08: Proceedings of the 2008 symposium on Eye tracking research & applications

Pages 259 - 266

https://doi.org/10.1145/1344471.1344530

Published: 26 March 2008 Publication History

Abstract

Of gaze tracking techniques, video-oculography (VOG) is one of the most attractive because of its versatility and simplicity. VOG systems based on general purpose mapping methods use simple polynomial expressions to estimate a user's point of regard. Although the behaviour of such systems is generally acceptable, a detailed study of the calibration process is needed to facilitate progress in improving accuracy and tolerance to user head movement. To date, there has been no thorough comparative study of how mapping equations affect final system response. After developing a taxonomic classification of calibration functions, we examine over 400,000 models and evaluate the validity of several conventional assumptions. The rigorous experimental procedure employed enabled us to optimize the calibration process for a real VOG gaze tracking system and, thereby, halve the calibration time without detrimental effect on accuracy or tolerance to head movement.

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Cited By

Liu JChi JYang Z(2024)A review on personal calibration issues for video-oculographic-based gaze trackingFrontiers in Psychology10.3389/fpsyg.2024.130904715Online publication date: 20-Mar-2024
https://doi.org/10.3389/fpsyg.2024.1309047
Jain TBhatia SSarkar CJain PJain N(2024)Real-Time Webcam-Based Eye Tracking for Gaze Estimation: Applications and Innovations2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT)10.1109/ICCCNT61001.2024.10724037(1-7)Online publication date: 24-Jun-2024
https://doi.org/10.1109/ICCCNT61001.2024.10724037
Qian KArichi TEdwards AHajnal J(2024)Instant interaction driven adaptive gaze control interfaceScientific Reports10.1038/s41598-024-62365-914:1Online publication date: 22-May-2024
https://doi.org/10.1038/s41598-024-62365-9
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Index Terms

Taxonomic study of polynomial regressions applied to the calibration of video-oculographic systems
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision tasks
2. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction devices
      1. Touch screens

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Information

Published In

cover image ACM Conferences

ETRA '08: Proceedings of the 2008 symposium on Eye tracking research & applications

March 2008

285 pages

ISBN:9781595939821

DOI:10.1145/1344471

Conference Chairs:
Kari-Jouko Räihä
University of Tampere, Finland
,
Andrew T. Duchowski
Clemson University, USA

Copyright © 2008 ACM.

Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 March 2008

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COGAIN: Communication by Gaze Interaction. Network of Excellence

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ETRA '08

Sponsor:

ETRA '08: Eye Tracking Research and Applications

March 26 - 28, 2008

Georgia, Savannah

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Cited By

Liu JChi JYang Z(2024)A review on personal calibration issues for video-oculographic-based gaze trackingFrontiers in Psychology10.3389/fpsyg.2024.130904715Online publication date: 20-Mar-2024
https://doi.org/10.3389/fpsyg.2024.1309047
Jain TBhatia SSarkar CJain PJain N(2024)Real-Time Webcam-Based Eye Tracking for Gaze Estimation: Applications and Innovations2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT)10.1109/ICCCNT61001.2024.10724037(1-7)Online publication date: 24-Jun-2024
https://doi.org/10.1109/ICCCNT61001.2024.10724037
Qian KArichi TEdwards AHajnal J(2024)Instant interaction driven adaptive gaze control interfaceScientific Reports10.1038/s41598-024-62365-914:1Online publication date: 22-May-2024
https://doi.org/10.1038/s41598-024-62365-9
Banks AEldin Abdelaal ASalcudean S(2024)Head motion-corrected eye gaze tracking with the da Vinci surgical systemInternational Journal of Computer Assisted Radiology and Surgery10.1007/s11548-024-03173-419:7(1459-1467)Online publication date: 18-Jun-2024
https://doi.org/10.1007/s11548-024-03173-4
Xu JHuang ZLiu LLi XWei K(2023)Eye-Gaze Controlled Wheelchair Based on Deep LearningSensors10.3390/s2313623923:13(6239)Online publication date: 7-Jul-2023
https://doi.org/10.3390/s23136239
Skaramagkas VGiannakakis GKtistakis EManousos DKaratzanis ITachos NTripoliti EMarias KFotiadis DTsiknakis M(2023)Review of Eye Tracking Metrics Involved in Emotional and Cognitive ProcessesIEEE Reviews in Biomedical Engineering10.1109/RBME.2021.306607216(260-277)Online publication date: 2023
https://doi.org/10.1109/RBME.2021.3066072
Li JYang JLiu YLi ZYang GGuo Y(2023)EasyGaze3D: Towards Effective and Flexible 3D Gaze Estimation from a Single RGB Camera2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)10.1109/IROS55552.2023.10342361(6537-6543)Online publication date: 1-Oct-2023
https://doi.org/10.1109/IROS55552.2023.10342361
Koshikawa KNagamatsu TTakemura K(2022)Model-based Gaze Estimation with Transparent Markers on Large ScreensProceedings of the ACM on Human-Computer Interaction10.1145/35308886:ETRA(1-16)Online publication date: 13-May-2022
https://dl.acm.org/doi/10.1145/3530888
Sun JWu ZWang HJing PLiu Y(2022)A Novel Integrated Eye-Tracking System with Stereo Stimuli for 3D Gaze EstimationIEEE Transactions on Instrumentation and Measurement10.1109/TIM.2022.3225009(1-1)Online publication date: 2022
https://doi.org/10.1109/TIM.2022.3225009
Aunsri NRattarom S(2022)Novel eye-based features for head pose-free gaze estimation with web camera: New model and low-cost deviceAin Shams Engineering Journal10.1016/j.asej.2022.10173113:5(101731)Online publication date: Sep-2022
https://doi.org/10.1016/j.asej.2022.101731
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