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Solving Parallax Error for 3D Eye Tracking

Published: 25 May 2021 Publication History

Abstract

Head-mounted eye-trackers allow for unrestricted behavior in the natural environment, but have calibration issues that compromise accuracy and usability. A well-known problem arises from the fact that gaze measurements suffer from parallax error due to the offset between the scene camera origin and eye position. To compensate for this error two pieces of data are required: the pose of the scene camera in head coordinates, and the three-dimensional coordinates of the fixation point in head coordinates. We implemented a method that allows for effective and accurate eye-tracking in the three-dimensional environment. Our approach consists of a calibration procedure that allows to contextually calibrate the eye-tracker and compute the eyes pose in the reference frame of the scene camera, and a custom stereoscopic scene camera that provides the three-dimensional coordinates of the fixation point. The resulting gaze data are free from parallax error, allowing accurate and effective use of the eye-tracker in the natural environment.

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Cited By

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  • (2024)Assessing the data quality of AdHawk MindLink eye-tracking glassesBehavior Research Methods10.3758/s13428-023-02310-256:6(5771-5787)Online publication date: 2-Jan-2024
  • (2024)A Child-Friendly Wearable Device for Quantifying Environmental Risk Factors for MyopiaTranslational Vision Science & Technology10.1167/tvst.13.10.2813:10(28)Online publication date: 18-Oct-2024
  • (2023)Noise estimation for head-mounted 3D binocular eye tracking using Pupil Core eye-tracking gogglesBehavior Research Methods10.3758/s13428-023-02150-056:1(53-79)Online publication date: 27-Jun-2023
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cover image ACM Conferences
ETRA '21 Adjunct: ACM Symposium on Eye Tracking Research and Applications
May 2021
78 pages
ISBN:9781450383578
DOI:10.1145/3450341
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 the author(s) 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: 25 May 2021

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Author Tags

  1. eye tracking calibration
  2. parallax error
  3. wearable eye tracking

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  • Short-paper
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Overall Acceptance Rate 69 of 137 submissions, 50%

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ETRA '25

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Cited By

View all
  • (2024)Assessing the data quality of AdHawk MindLink eye-tracking glassesBehavior Research Methods10.3758/s13428-023-02310-256:6(5771-5787)Online publication date: 2-Jan-2024
  • (2024)A Child-Friendly Wearable Device for Quantifying Environmental Risk Factors for MyopiaTranslational Vision Science & Technology10.1167/tvst.13.10.2813:10(28)Online publication date: 18-Oct-2024
  • (2023)Noise estimation for head-mounted 3D binocular eye tracking using Pupil Core eye-tracking gogglesBehavior Research Methods10.3758/s13428-023-02150-056:1(53-79)Online publication date: 27-Jun-2023
  • (2023)A novel end-to-end dual-camera system for eye gaze synchrony assessment in face-to-face interactionAttention, Perception, & Psychophysics10.3758/s13414-023-02679-486:7(2221-2230)Online publication date: 26-Apr-2023
  • (2022)High-fidelity eye, head, body, and world tracking with a wearable deviceBehavior Research Methods10.3758/s13428-022-01888-356:1(32-42)Online publication date: 25-Jul-2022
  • (2022)EllSeg-Gen, towards Domain Generalization for Head-Mounted EyetrackingProceedings of the ACM on Human-Computer Interaction10.1145/35308806:ETRA(1-17)Online publication date: 13-May-2022

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