Calibration-free retinal-anterior eye-tracker for high-speed, high-accuracy, and high-precision eye movement estimation during fixations, saccades, and smooth pursuit

Eye-tracking is increasingly prevalent across various aspects of our lives. It is currently used for research, education, diagnostics, and entertainment, for example, in virtual reality goggles. However, widely used video-based eye-trackers require subject-dependent calibration, which makes them unsuitable for examining individuals with unstable fixation, such as patients with neurodegenerative diseases. We present a novel calibration-free retinal-anterior eye tracker that uses retinal images to track changes in eye orientation. On an artificial eye, the eye tracker achieves an accuracy better than 0.6′ (0.01°) and a sample-to-sample precision of 0.09′ (0.0015°) for the reference-frame signal, improving to 0.05′ (0.0008°) after Kalman fusion. Under similar conditions, this precision exceeds that reported for video-based eye trackers. After a one-point trajectory offset correction, the eye tracker enables determination of the absolute gaze direction.The eye-tracker was tested with an artificial eye over a traverse of − 8° to + 8°. In human recordings we typically work within approximately ± 4°, a practical limit based on operating experience rather than on a systematic characterization. The eye-tracker is capable of measuring saccadic velocities of up to 300 °/s, incorporates an integrated display for dynamic stimulus presentation, and requires only a simple chin- and forehead rest for subject stabilization. The potential of this eye-tracker is demonstrated in healthy subjects and in participants who are unable to undergo a conventional calibration procedure. Additionally, the device is equipped with a synchronized video-based eye-tracker, making it a powerful research platform for developing eye-tracking technologies.

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Publication Details

Journal
Scientific Reports
Published
2026-09-17
DOI
https://doi.org/10.1038/s41598-026-70924-5
Primary Topic
Gaze Tracking and Assistive Technology
Type
article
Field-Weighted Citation Impact
0.00

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article

Calibration-free retinal-anterior eye-tracker for high-speed, high-accuracy, and high-precision eye movement estimation during fixations, saccades, and smooth pursuit

Michał Meina, Diederick C. Niehorster, Jakub Lipiński, Ignace T. C. Hooge et al.
Scientific Reports
Gaze Tracking and Assistive Technology
article

Calibration-free retinal-anterior eye-tracker for high-speed, high-accuracy, and high-precision eye movement estimation during fixations, saccades, and smooth pursuit

Michał Meina, Diederick C. Niehorster, Jakub Lipiński, Ignace T. C. Hooge, Patrycjusz Stremplewski, Anna Szkulmowska, Robert Konklewski, Maciej Szkulmowski, Marcus Nyström, Szymon Tamborski, Maciej Nowakowski, Valentyna Pryhodiuk, Marta K. Skrok
article en

Abstract

Eye-tracking is increasingly prevalent across various aspects of our lives. It is currently used for research, education, diagnostics, and entertainment, for example, in virtual reality goggles. However, widely used video-based eye-trackers require subject-dependent calibration, which makes them unsuitable for examining individuals with unstable fixation, such as patients with neurodegenerative diseases. We present a novel calibration-free retinal-anterior eye tracker that uses retinal images to track changes in eye orientation. On an artificial eye, the eye tracker achieves an accuracy better than 0.6′ (0.01°) and a sample-to-sample precision of 0.09′ (0.0015°) for the reference-frame signal, improving to 0.05′ (0.0008°) after Kalman fusion. Under similar conditions, this precision exceeds that reported for video-based eye trackers. After a one-point trajectory offset correction, the eye tracker enables determination of the absolute gaze direction.The eye-tracker was tested with an artificial eye over a traverse of − 8° to + 8°. In human recordings we typically work within approximately ± 4°, a practical limit based on operating experience rather than on a systematic characterization. The eye-tracker is capable of measuring saccadic velocities of up to 300 °/s, incorporates an integrated display for dynamic stimulus presentation, and requires only a simple chin- and forehead rest for subject stabilization. The potential of this eye-tracker is demonstrated in healthy subjects and in participants who are unable to undergo a conventional calibration procedure. Additionally, the device is equipped with a synchronized video-based eye-tracker, making it a powerful research platform for developing eye-tracking technologies.

Scientific Reports
Lund University (SE), Utrecht University (NL), Nicolaus Copernicus University (PL), Institute of Physics (AZ), Adam Mickiewicz University in Poznań (PL)
Fundacja na rzecz Nauki Polskiej, Narodowe Centrum Nauki
Openalex Percentile: Top 8%
Gaze Tracking and Assistive Technology
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