skip to main content
10.1145/3450341.3458495acmconferencesArticle/Chapter ViewAbstractPublication PagesetraConference Proceedingsconference-collections
short-paper

Noise in the Machine: Sources of Physical and Computation Error in Eye Tracking with Pupil Core Wearable Eye Tracker: Wearable Eye Tracker Noise in Natural Motion Experiments

Published: 25 May 2021 Publication History

Abstract

Developments in wearable eye tracking devices make them an attractive solution for studies of eye movements during naturalistic head/body motion. However, before these systems’ potential can be fully realized, a thorough assessment of potential sources of error is needed. In this study, we examine three possible sources for the Pupil Core eye tracking goggles: camera motion during head/body motion, choice of calibration marker configuration, and eye movement estimation. In our data, we find that up to 36% of reported eye motion may be attributable to camera movement; choice of appropriate calibration routine is essential for minimizing error; and the use of a secondary calibration for eye position remapping can improve eye position errors estimated from the eye tracker.

References

[1]
Ehinger, B. V., Groß, K., Ibs, I., & König, P. (2019). A new comprehensive eye-tracking test battery concurrently evaluating the Pupil Labs glasses and the EyeLink 1000. PeerJ, 7(2), e7086–43. http://doi.org/10.7717/peerj.7086
[2]
Pupil Labs. (2021). Pupil Core - Open source eye tracking platform (pupil-labs.com)
[3]
Swirski, Lech, Bulling, Andreas & Dodgson, Neil. (2012). Robust real-time pupil tracking in highly off-axis images. Eye Tracking Research and Applications Symposium (ETRA). 173-176. 10.1145/2168556.2168585.
[4]
Swirski, Lech & Dodgson, Neil. (2013). A fully-automatic, temporal approach to single camera, glint-free 3D eye model fitting.

Cited By

View all
  • (2024)Visualizing simultaneous eye-hand movements in a MATLAB dashboardMethodsX10.1016/j.mex.2024.10272212(102722)Online publication date: Jun-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)Gaze Tracking: A Survey of Devices, Libraries and ApplicationsModelling and Development of Intelligent Systems10.1007/978-3-031-27034-5_2(18-41)Online publication date: 26-Feb-2023

Recommendations

Comments

Information & Contributors

Information

Published In

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 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]

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 25 May 2021

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. calibration
  2. eye tracking
  3. homography

Qualifiers

  • Short-paper
  • Research
  • Refereed limited

Funding Sources

Conference

ETRA '21
Sponsor:

Acceptance Rates

Overall Acceptance Rate 69 of 137 submissions, 50%

Upcoming Conference

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)36
  • Downloads (Last 6 weeks)4
Reflects downloads up to 10 Feb 2025

Other Metrics

Citations

Cited By

View all
  • (2024)Visualizing simultaneous eye-hand movements in a MATLAB dashboardMethodsX10.1016/j.mex.2024.10272212(102722)Online publication date: Jun-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)Gaze Tracking: A Survey of Devices, Libraries and ApplicationsModelling and Development of Intelligent Systems10.1007/978-3-031-27034-5_2(18-41)Online publication date: 26-Feb-2023

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

HTML Format

View this article in HTML Format.

HTML Format

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media