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Gaze in Action: Head-mounted Eye Tracking of Children's Dynamic Visual Attention During Naturalistic Behavior
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An Automatic Calibration Method for Kappa Angle Based on a Binocular Gaze Constraint.

Jiahui Liu1,2, Jiannan Chi1,2,3, Hang Sun1,2

  • 1School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China.

Sensors (Basel, Switzerland)
|April 28, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces an automatic kappa-angle calibration method for 3D gaze tracking, eliminating complex user calibration. The new approach achieves high accuracy, enabling instant use of gaze-tracking systems.

Keywords:
binocular constrainteye-tracking interactiongaze estimationkappa angleuser calibration

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Area of Science:

  • Ophthalmology
  • Computer Vision
  • Human-Computer Interaction

Background:

  • Kappa-angle calibration is crucial for accurate 3D gaze tracking.
  • Current explicit user calibration methods are complex and time-consuming.

Purpose of the Study:

  • To develop an automatic kappa-angle calibration method for gaze tracking.
  • To improve the efficiency and usability of gaze-tracking systems.

Main Methods:

  • Utilized 3D corneal centers and optical axes of both eyes.
  • Established an objective function based on the coplanar constraint of visual axes.
  • Employed a differential evolution algorithm for kappa-angle iteration.

Main Results:

  • Achieved gaze accuracy of 1.3° (horizontal) and 1.34° (vertical).
  • Results are within acceptable gaze-estimation error margins.
  • Demonstrated the feasibility of automatic calibration during screen browsing.

Conclusions:

  • The proposed automatic kappa-angle calibration method significantly simplifies the process.
  • This advancement is vital for the immediate application of gaze-tracking technology.
  • The method enhances the practical utility of 3D gaze tracking systems.