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Related Experiment Video

Updated: Jul 10, 2026

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

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

A fast eye-movement tracking using cross-division algorithm.

Jongman Cho¹, Sungil Kim, Jaehong Lim

¹Department of Biomedical Engineering Inje University 607 Obang-dong, Kimahe, 621-749, Korea.

Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference

|December 6, 2007

Summary

A new eye tracking system uses reference points and pupil imaging for precise gaze detection. This method is unaffected by head movements, offering high resolution and fast sampling without complex mechanisms.

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Area of Science:

Biomedical Engineering
Ophthalmology
Human-Computer Interaction

Background:

Accurate eye tracking is crucial for various applications, including clinical diagnostics and user interface control.
Existing eye tracking systems can be sensitive to head movements, limiting their precision and practicality.
The need for non-invasive, high-resolution eye tracking solutions that minimize subject interference is well-established.

Purpose of the Study:

To develop and validate a precise eye tracking and pupillometer system.
To create a system that is robust against head movements and does not interfere with the visual field.
To achieve high sampling rates and resolution without requiring additional head-tracking hardware.

Main Methods:

The system analyzes the first Purkinje image of the visual field, incorporating reference points.
Four high-intensity infrared light-emitting diodes (IR LEDs) serve as reference points, appearing as distinct highlights in the pupil image.
Gaze point is calculated using the distance and angle between the pupil center and the reference points.

Main Results:

The implemented system provides precise eye tracking and pupillometry.
Head movements do not affect the system's accuracy, as shifts in pupil and reference point locations occur simultaneously and proportionally.
The technique enables a system with fast sampling times and high resolution.

Conclusions:

A novel eye tracking and pupillometer system has been successfully implemented.
The system's design inherently compensates for head movements, enhancing reliability.
This approach offers a cost-effective and accurate solution for eye tracking applications.