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name: "iTrace: verification-first webcam eye-movement analysis" description: "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 ..." tags: ["eye-tracking", "webcam", "gaze", "saccades", "pupillometry", "open-source", "diagnostic-pilot"] domain: "Computational" citation: "Daniel Ari Friedman (2026). iTrace: verification-first webcam eye-movement analysis. Computational." doi: "10.5281/zenodo.20614909"

iTrace: verification-first webcam eye-movement analysis

Daniel Ari Friedman (2026) · Computational

Context

This work addresses topics in Computational: eye-tracking, webcam, gaze, saccades.

Methods

Primary methods and techniques applied in this work:

• Software pipeline design
• Data-driven analysis

Key Findings

Core contributions and results:

• 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

Related Works

• 2023_NSFReporting
• 2023_NaturalAIBased
• 2025_AuBI

Validation

Verification points for this work:

• DOI: 10.5281/zenodo.20614909
• PDF SHA-256: See zenodo_record
• Pairing confidence: needs_review
• Last checked: 2026-06-09T18:22:02Z

Prerequisites

• Familiarity with eye-tracking, webcam, gaze
• Background in Computational fundamentals
• Access to source repository: N/A

Instructions

When working with this paper:

1. Reference the DOI for citation: 10.5281/zenodo.20614909
2. Apply methods listed in the Methods section for related analysis.
3. Validate findings against the original PDF and metadata.