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.
Authors
- Michał Meina (ORCID: https://orcid.org/0000-0003-1652-6122)
- Diederick C. Niehorster (ORCID: https://orcid.org/0000-0002-4672-8756)
- Jakub Lipiński (ORCID: https://orcid.org/0000-0001-8472-5321)
- Ignace T. C. Hooge (ORCID: https://orcid.org/0000-0002-2790-892X)
- Patrycjusz Stremplewski (ORCID: https://orcid.org/0000-0002-4743-4397)
- Anna Szkulmowska (ORCID: https://orcid.org/0000-0002-2939-0829)
- Robert Konklewski
- Maciej Szkulmowski (ORCID: https://orcid.org/0000-0002-2006-0524)
- Marcus Nyström (ORCID: https://orcid.org/0000-0002-2089-9012)
- Szymon Tamborski (ORCID: https://orcid.org/0000-0002-3636-5824)
- Maciej Nowakowski
- Valentyna Pryhodiuk (ORCID: https://orcid.org/0009-0009-9235-0449)
- Marta K. Skrok
Institutions
- Lund University (SE)
- Utrecht University (NL)
- Nicolaus Copernicus University (PL)
- Institute of Physics (AZ)
- Adam Mickiewicz University in Poznań (PL)
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
Funders
- Fundacja na rzecz Nauki Polskiej
- Narodowe Centrum Nauki