iTrace: verification-first webcam eye-movement analysis

Catalog Row165

Citation KeyFriedman2026ITraceVerificationFirstWebcam165

Paper FolderAvailable

DOI10.5281/zenodo.20614908

Platform availability

✅ Zenodo
✅ GitHub
⬜ arXiv
⬜ OSF
⬜ HuggingFace
⬜ Software Heritage
⬜ PyPI
✅ Full documentation

Overview

Extracted from the local paper documentation when available.

iTrace is an MIT-licensed Python toolkit for webcam-derived gaze, saccade, pupil, and quality diagnostics. Version 0.4.1 is a diagnostic v1 release: the pure NumPy/SciPy core is algorithmically verified against synthetic and closed-loop oracles, the optional webcam shell exports derived records, and the empirical ledger covers a single-participant, single-device, five-session diagnostic pilot. Thi...

eye-trackingwebcamgazesaccadespupillometryopen-sourcediagnostic-pilot

Use Notes

Concise findings and methods pulled from README/SKILL documentation.

Findings / Concepts

iTrace is an MIT-licensed Python toolkit for webcam-derived gaze, saccade, pupil, and quality diagnostics.
Version 0.4.1 is a diagnostic v1 release: the pure NumPy/SciPy core is algorithmically verified against synthetic and closed-loop oracles, the optional webcam shell exports derived records, and the em

Methods / Techniques

Software pipeline design
Data-driven analysis

Citation

Plain-text citation for quick reuse.

Friedman, Daniel Ari. 2026. iTrace: verification-first webcam eye-movement analysis. Zenodo. DOI: 10.5281/zenodo.20614908. URL: https://doi.org/10.5281/zenodo.20614908.

Primary source Documentation Source repository BibTeX

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