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Related Experiment Video

Updated: Jul 3, 2026

Gaze in Action: Head-mounted Eye Tracking of Children's Dynamic Visual Attention During Naturalistic Behavior

Gaze in Action: Head-mounted Eye Tracking of Children's Dynamic Visual Attention During Naturalistic Behavior

Published on: November 14, 2018

A novel gaze estimation system with one calibration point.

Arantxa Villanueva¹, Rafael Cabeza

¹Electrical and Electronic Engineering Department, Public University of Navarra, 31006 Pamplona, Spain.

IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society

|July 18, 2008

Summary

Subject calibration is essential for accurate gaze estimation in eye-tracking systems. This study proves calibration is compulsory and proposes a simplified single-point model, reducing calibration complexity while maintaining accuracy.

More Related Videos

A Method to Quantify Visual Information Processing in Children Using Eye Tracking

A Method to Quantify Visual Information Processing in Children Using Eye Tracking

Published on: July 9, 2016

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Last Updated: Jul 3, 2026

Gaze in Action: Head-mounted Eye Tracking of Children's Dynamic Visual Attention During Naturalistic Behavior

Gaze in Action: Head-mounted Eye Tracking of Children's Dynamic Visual Attention During Naturalistic Behavior

Published on: November 14, 2018

A Method to Quantify Visual Information Processing in Children Using Eye Tracking

A Method to Quantify Visual Information Processing in Children Using Eye Tracking

Published on: July 9, 2016

Area of Science:

Computer Vision
Human-Computer Interaction
Biomedical Engineering

Background:

Gaze-tracking systems require subject calibration for accurate gaze direction estimation.
Robust and high-performance systems are a key objective in the eye-tracking community.

Purpose of the Study:

To determine if subject calibration can be eliminated in gaze-tracking systems.
To analyze user calibration requirements through geometric analysis.
To establish the minimal hardware and calibration points needed for gaze estimation.

Main Methods:

Geometric analysis of a gaze-tracking system.
Eye model incorporating optical-visual axis offset, corneal refraction, and Donder's law.
Gaze estimation model based on glint positions and pupil ellipse detection.

Main Results:

Subject calibration is compulsory for accurate gaze estimation.
Minimal hardware includes one camera and multiple light-emitting diodes.
Two glints and one calibration point suffice for gaze estimation with ~1-degree error.

Conclusions:

Eliminating subject calibration is not feasible for accurate gaze estimation.
A simplified single-point calibration model is proposed.
Increased light sources and calibration points can further reduce average gaze estimation errors.