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Open Iris - An Open Source Framework for Video-Based Eye-Tracking Research and Development
Roksana Sadeghi1, Ryan Ressmeyer2, Jacob Yates1
1Herbert Wertheim School of Optometry and Vision Science, University of California, Berkeley, California, USA.
Biorxiv : the Preprint Server for Biology
|March 11, 2024
Summary
OpenIris is a flexible, open-source eye-tracking framework for custom research needs. This adaptable system offers high-precision, high-speed (500Hz+) video-based eye movement analysis.
Area of Science:
- Biomedical Engineering
- Computer Science
- Neuroscience
Background:
- Commercial eye-tracking solutions often lack the flexibility and affordability for specialized research applications.
- There is a need for adaptable, open-source tools for high-precision and high-speed eye-tracking.
Approach:
- Developed OpenIris, a modular, C#-based open-source framework for video-based eye-tracking.
- Designed with a plugin architecture for hardware, tracking, and calibration customization.
- Enabled remote control via a network interface for integration with other systems.
Key Points:
- Supports online (live camera) and offline (recorded video) eye movement data acquisition.
- Includes example plugins for 3D eye motion tracking, including torsion.
- Achieves high binocular pupil tracking frame rates exceeding 500Hz.
Conclusions:
- OpenIris addresses the limitations of current eye-tracking technology for custom research environments.
- Provides a user-friendly, extensible platform for advanced eye-tracking applications.
- Aims to democratize access to high-performance eye-tracking for researchers.
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