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Remote point-of-gaze estimation requiring a single-point calibration for applications with infants

Published: 26 March 2008 Publication History

Abstract

This paper describes a method for remote, non-contact point-of-gaze estimation that tolerates free head movements and requires a simple calibration procedure in which the subject has to fixate only on a single point. This method uses the centers of the pupil and at least two corneal reflections that are estimated from eye images captured by at least two cameras. Experimental results obtained with three adult subjects exhibited RMS point-of-gaze estimation errors ranging from 7 to 12 mm (equivalent to about 0.6 -- 1° of visual angle) for head movements in a volume of about 1 dm3. Preliminary results with two infants demonstrated the ability of a system that requires a single-point calibration procedure to estimate infants' point-of-gaze. The ability to record infants' visual scanning behavior can be used for the study of visual development, the determination of attention allocation and the assessment of visual function in preverbal infants.

References

[1]
Bouguet, J.-Y. Camera Calibration Toolbox for MATLAB. http://www.vision.caltech.edu/bouguetj/calib_doc/.
[2]
Corbett, M. C., Rosen, E. S., and O'Brart, D. P. S. 1999. Corneal Topography: Principles and Applications. BMJ Books.
[3]
Duchowski, A. T. 2002. A Breadth-First Survey of Eye-Tracking Applications, Behavior Research Methods, Instruments, & Computers 34, 4, 455--470.
[4]
Eizenman, M., Yu, L. H., Grupp, L., Eizenman, E., Ellenbogen, M., Gemar, M., and Levitan, R. D. 2003. A Naturalistic Visual Scanning Approach to Assess Selective Attention in Major Depressive Disorder, Psychiatry Research 118, 2, 117--128.
[5]
Frey, L. A., White, K. P., and Hutchinson, T. E. 1990. Eye-Gaze Word Processing, IEEE Transactions on Systems, Man, and Cybernetics 20, 4, 944--950.
[6]
Gorman, J. J., Cogan D. G., and Gellis S. S. 1957. An Apparatus for Grading the Visual Acuity on the Basis of Optokinetic Nystagmus, Pediatrics 19, 1088--1092.
[7]
Guestrin, E. D. and Eizenman, M. 2006. General Theory of Remote Gaze Estimation Using the Pupil Center and Corneal Reflections, IEEE Transactions on Biomedical Engineering 53, 6, 1124--1133.
[8]
Harbluk, J. L., Noy, Y. I., Trbovich, P. L., and Eizenman, M. 2007. An On-Road Assessment of Cognitive Distraction: Impacts on Drivers' Visual Behavior and Braking Performance, Accident Analysis and Prevention 39, 2, 372--379.
[9]
Ohno, T., Mukawa, N., and Yoshikawa, A. 2002. FreeGaze: A Gaze Tracking System for Everyday Gaze Interaction. In Proceedings of the 2nd Symposium on Eye Tracking Research and Applications (ETRA 2002), 125--132.
[10]
Ohno, T. and Mukawa, N. 2004. A Free-Head, Simple Calibration, Gaze Tracking System that Enables Gaze-Based Interaction. In Proceedings of the 3rd Symposium on Eye Tracking Research and Applications (ETRA 2004), 115--122.
[11]
Shih, S.-W. and Liu, J. 2004. A Novel Approach to 3-D Gaze Tracking Using Stereo Cameras, IEEE Transactions on Systems, Man, and Cybernetics B 34, 1, 234--245.
[12]
Teller, D. Y., Morse R., Borton R., and Regal D. 1974. Visual Acuity for Vertical and Diagonal Gratings in Human Infants, Vision Research 14, 1433--1439.
[13]
Villanueva, A. and Cabeza, R. 2007. Models for Gaze Tracking Systems, EURASIP Journal on Image and Video Processing 2007, article ID 23570.
[14]
Young, L. R. and Sheena, D. 1975. Methods and Designs - Survey of Eye Movement Recording Methods, Behavior Research Methods & Instrumentation 7, 5, 397--429.

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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
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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Publication History

Published: 26 March 2008

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Author Tags

  1. infants' gaze
  2. minimal subject cooperation
  3. point-of-gaze
  4. remote gaze estimation
  5. single-point calibration

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ETRA '08
ETRA '08: Eye Tracking Research and Applications
March 26 - 28, 2008
Georgia, Savannah

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Overall Acceptance Rate 69 of 137 submissions, 50%

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  • (2020)Hybrid Eye-Tracking on a Smartphone with CNN Feature Extraction and an Infrared 3D ModelSensors10.3390/s2002054320:2(543)Online publication date: 19-Jan-2020
  • (2020)Accurate Real‐time 3D Gaze Tracking Using a Lightweight Eyeball CalibrationComputer Graphics Forum10.1111/cgf.1394539:2(475-485)Online publication date: 13-Jul-2020
  • (2019)Time- and space-efficient eye tracker calibrationProceedings of the 11th ACM Symposium on Eye Tracking Research & Applications10.1145/3314111.3319818(1-8)Online publication date: 25-Jun-2019
  • (2019)An Accurate and Robust Gaze Estimation Method Based on Maximum Correntropy CriterionIEEE Access10.1109/ACCESS.2019.28963037(23291-23302)Online publication date: 2019
  • (2018)Accurate Model-Based Point of Gaze Estimation on Mobile DevicesVision10.3390/vision20300352:3(35)Online publication date: 24-Aug-2018
  • (2018)A Method of Free-Space Point-of-Regard Estimation Based on 3D Eye Model and Stereo VisionApplied Sciences10.3390/app81017698:10(1769)Online publication date: 30-Sep-2018
  • (2018)Natural Pursuits for Eye Tracker CalibrationProceedings of the 5th International Workshop on Sensor-based Activity Recognition and Interaction10.1145/3266157.3266207(1-10)Online publication date: 20-Sep-2018
  • (2018)Smooth-iProceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications10.1145/3204493.3204585(1-5)Online publication date: 14-Jun-2018
  • (2018)SmartEye: An Accurate Infrared Eye Tracking System for Smartphones2018 9th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)10.1109/UEMCON.2018.8796799(951-959)Online publication date: Nov-2018
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