Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Rack1 mediates tyrosine phosphorylation of Anxa2 by Src and promotes invasion and metastasis in drug-resistant breast cancer cells.

Breast cancer research : BCR·2019
Same author

Rack1 mediates Src binding to drug transporter P-glycoprotein and modulates its activity through regulating Caveolin-1 phosphorylation in breast cancer cells.

Cell death & disease·2019
Same author

Dynamic Parameter Identification for a Manipulator with Joint Torque Sensors Based on an Improved Experimental Design.

Sensors (Basel, Switzerland)·2019
Same author

Juglone eliminates MDSCs accumulation and enhances antitumor immunity.

International immunopharmacology·2019
Same author

Visceral adipogenesis inhibited by Pref-1 is associated with peritoneal angiogenesis.

Nephrology (Carlton, Vic.)·2019
Same author

Spatial distribution of parabens, triclocarban, triclosan, bisphenols, and tetrabromobisphenol A and its alternatives in municipal sewage sludges in China.

The Science of the total environment·2019

Related Experiment Video

Updated: Jan 7, 2026

Using Eye-tracking to Assess the Relative Importance of Visual and Vestibular Input to Subcortical Motion Processing in the Roll Plane
07:24

Using Eye-tracking to Assess the Relative Importance of Visual and Vestibular Input to Subcortical Motion Processing in the Roll Plane

Published on: August 22, 2025

443

Robust Camera-Based Eye-Tracking Method Allowing Head Movements and Its Application in User Experience Research.

He Zhang1, Lu Yin2

  • 1School of Art and Design, Wuhan University of Technology, Wuhan 430070, China.

Journal of Eye Movement Research
|December 24, 2025
PubMed
Summary

This study introduces a novel webcam-based eye-tracking method that compensates for head movements. This approach enhances user comfort and provides accurate gaze estimation for user experience analysis.

Keywords:
camera-based eye-trackinggaze point estimationhead movementhead-pointinguser experience analysis

More Related Videos

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers
12:39

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers

Published on: January 18, 2020

8.1K
How to Build a Dichoptic Presentation System That Includes an Eye Tracker
05:48

How to Build a Dichoptic Presentation System That Includes an Eye Tracker

Published on: September 6, 2017

8.9K

Related Experiment Videos

Last Updated: Jan 7, 2026

Using Eye-tracking to Assess the Relative Importance of Visual and Vestibular Input to Subcortical Motion Processing in the Roll Plane
07:24

Using Eye-tracking to Assess the Relative Importance of Visual and Vestibular Input to Subcortical Motion Processing in the Roll Plane

Published on: August 22, 2025

443
A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers
12:39

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers

Published on: January 18, 2020

8.1K
How to Build a Dichoptic Presentation System That Includes an Eye Tracker
05:48

How to Build a Dichoptic Presentation System That Includes an Eye Tracker

Published on: September 6, 2017

8.9K

Area of Science:

  • Human-Computer Interaction
  • Computer Vision
  • Usability Engineering

Background:

  • Traditional eye-tracking requires expensive hardware and limits user movement.
  • Webcam-based eye-tracking is affordable but struggles with head motion sensitivity.
  • Existing methods often necessitate users maintain a rigid head posture, impacting comfort and data accuracy.

Purpose of the Study:

  • To develop a robust eye-tracking methodology that accurately tracks gaze despite significant head motion.
  • To overcome the limitations of current vision-based eye-tracking systems concerning head movement.
  • To provide a more natural and comfortable user experience for eye-tracking studies.

Main Methods:

  • A novel technique mapping pupil center displacement to gaze point using a dynamically updated reference.
  • Real-time recalculation of head-pointing coordinates based on estimated head pose and user-to-screen distance during detected head movement.
  • Establishment of a continuous adaptive correction loop for gaze point estimation.

Main Results:

  • Achieved mean gaze errors of 1.13 and 1.37 degrees across two testing modes, outperforming many existing methods.
  • Demonstrated efficacy in dynamic scenarios through validation in a smooth pursuit task.
  • Successfully applied in a real-world gaming context to analyze visual behavior and user experience.

Conclusions:

  • The proposed eye-tracking method offers a robust and accurate solution for user experience analysis, accommodating natural head movements.
  • This approach significantly improves upon current webcam-based eye-tracking limitations, enhancing user comfort and data reliability.
  • The system's practical utility is verified through successful application in a gaming context, providing valuable insights into visual behavior.