Article

Eye and gaze tracking for interactive graphic display

Authors:

Qiang Ji,

Zhiwei ZhuAuthors Info & Claims

SMARTGRAPH '02: Proceedings of the 2nd international symposium on Smart graphics

Pages 79 - 85

https://doi.org/10.1145/569005.569017

Published: 11 June 2002 Publication History

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Abstract

This paper describes preliminary results we have obtained in developing a computer vision system based on active IR illumination for real time gaze tracking for interactive graphic display. Unlike most of the existing gaze tracking techniques, which often require assuming a static head to work well and require a cumbersome calibration process for each person, our gaze tracker can perform robust and accurate gaze estimation without calibration and under rather significant head movement. This is made possible by a new gaze calibration procedure that identifies the mapping from pupil parameters to screen coordinates using the Generalized Regression Neural Networks (GRNN). With GRNN, the mapping does not have to be an analytical function and head movement is explicitly accounted for by the gaze mapping function. Furthermore, the mapping function can generalize to other individuals not used in the training. The effectiveness of our gaze tracker is demonstrated by preliminary experiments that involve gaze-contingent interactive graphic display.

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Cited By

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Song RKang HWang WZhu Q(2024)The online audience’s attention evaluation based on gaze tracking2024 43rd Chinese Control Conference (CCC)10.23919/CCC63176.2024.10662531(3559-3564)Online publication date: 28-Jul-2024
https://doi.org/10.23919/CCC63176.2024.10662531
Marquardt ASteininger MTrepkowski CWeier MKruijff E(2024)Selection Performance and Reliability of Eye and Head Gaze Tracking Under Varying Light Conditions2024 IEEE Conference Virtual Reality and 3D User Interfaces (VR)10.1109/VR58804.2024.00075(546-556)Online publication date: 16-Mar-2024
https://doi.org/10.1109/VR58804.2024.00075
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
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Eye and gaze tracking for interactive graphic display
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision tasks

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Information

Published In

SMARTGRAPH '02: Proceedings of the 2nd international symposium on Smart graphics

June 2002

148 pages

ISBN:1581135556

DOI:10.1145/569005

Conference Chairs:
Andreas Butz
Eyeled GmbH, Germany
,
Antonio Krueger
Universitat des Saarlandes, Germany
,
Patrick Olivier
Lexicle Limited, UK
,
Stefan Schlechtweg
University of Magdeburg, Germany
,
Michelle Zhou
IBM T.J. Watson Research Center, US

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: 11 June 2002

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SG02

SG02: 2nd Symposium on Smart Graphics

June 11 - 13, 2002

New York, Hawthorne, USA

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Cited By

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Song RKang HWang WZhu Q(2024)The online audience’s attention evaluation based on gaze tracking2024 43rd Chinese Control Conference (CCC)10.23919/CCC63176.2024.10662531(3559-3564)Online publication date: 28-Jul-2024
https://doi.org/10.23919/CCC63176.2024.10662531
Marquardt ASteininger MTrepkowski CWeier MKruijff E(2024)Selection Performance and Reliability of Eye and Head Gaze Tracking Under Varying Light Conditions2024 IEEE Conference Virtual Reality and 3D User Interfaces (VR)10.1109/VR58804.2024.00075(546-556)Online publication date: 16-Mar-2024
https://doi.org/10.1109/VR58804.2024.00075
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
Senanayake RDenker GLincoln P(2018)bRIGHT – Workstations of the Future and Leveraging Contextual ModelsHuman Interface and the Management of Information. Interaction, Visualization, and Analytics10.1007/978-3-319-92043-6_29(346-357)Online publication date: 7-Jun-2018
https://doi.org/10.1007/978-3-319-92043-6_29
Li SZhang X(2017)Implicit Intention Communication in Human–Robot Interaction Through Visual Behavior StudiesIEEE Transactions on Human-Machine Systems10.1109/THMS.2017.264788247:4(437-448)Online publication date: Aug-2017
https://doi.org/10.1109/THMS.2017.2647882
Jeevithashree DRay PNatarajan PPradipta B(2017)Automating the process of gaze tracking data using soft clustering2017 International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT)10.1109/ICICICT1.2017.8342605(449-456)Online publication date: Jul-2017
https://doi.org/10.1109/ICICICT1.2017.8342605
Li QXiong CLiu K(2017)Eye Gaze Tracking Based Interaction Method of an Upper-Limb Exoskeletal Rehabilitation RobotIntelligent Robotics and Applications10.1007/978-3-319-65289-4_33(340-349)Online publication date: 6-Aug-2017
https://doi.org/10.1007/978-3-319-65289-4_33
Li SZhang X(2014)Implicit human intention inference through gaze cues for people with limited motion ability2014 IEEE International Conference on Mechatronics and Automation10.1109/ICMA.2014.6885705(257-262)Online publication date: Aug-2014
https://doi.org/10.1109/ICMA.2014.6885705
Lin MLi B(2013)Modeling of Single Camera Location under the Natural Light in the Vedio-Oculography SystemAdvanced Materials Research10.4028/www.scientific.net/AMR.663.638663(638-644)Online publication date: Feb-2013
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Fu YZhu WMassicotte D(2013)A gaze tracking scheme with low resolution image2013 IEEE 11th International New Circuits and Systems Conference (NEWCAS)10.1109/NEWCAS.2013.6573660(1-4)Online publication date: Jun-2013
https://doi.org/10.1109/NEWCAS.2013.6573660
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