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bioRxiv · 10.1101/2024.02.27.582401

Open Iris - An Open Source Framework for Video-Based Eye-Tracking Research and Development

Sadeghi, R.·Ressmeyer, R.·Yates, J.·Otero-Millan, J.
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Abstract

Eye-tracking is an essential tool in many fields, yet existing solutions are often limited for customized applications due to cost or lack of flexibility. We present OpenIris, an adaptable and user-friendly open-source framework for video-based eye-tracking. OpenIris is developed in C# with modular design that allows further extension and customization through plugins for different hardware systems, tracking, and calibration pipelines. It can be remotely controlled via a network interface from other devices or programs. Eye movements can be recorded online from camera stream or offline post-processing recorded videos. Example plugins have been developed to track eye motion in 3-D, including torsion. Currently implemented binocular pupil tracking pipelines can achieve frame rates of more than 500Hz. With the OpenIris framework, we aim to fill a gap in the research tools available for high-precision and high-speed eye-tracking, especially in environments that require custom solutions that are not currently well-served by commercial eye-trackers. CCS CONCEPTSO_LIApplied computing [->] Life and medical sciences. C_LI

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Sadeghi, R., Ressmeyer, R., Yates, J., Otero-Millan, J.. 2024-03-03. Open Iris - An Open Source Framework for Video-Based Eye-Tracking Research and Development. https://doi.org/10.1101/2024.02.27.582401

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