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Open-source EyeTheia toolbox offers webcam-based gaze estimation

By PulseAugur Editorial · [1 sources] ·

Researchers have developed EyeTheia, an open-source, lightweight deep learning pipeline for gaze estimation using standard webcams. The system combines landmark extraction with a convolutional neural network, offering real-time tracking suitable for browser-based experiments and clinical research. Performance evaluations on the MPIIFaceGaze dataset showed that both adapting pre-trained models and training from scratch yielded comparable results before calibration, with user-specific fine-tuning further reducing prediction errors. EyeTheia demonstrated strong agreement with a commercial tracker in a Dot-Probe task, providing a transparent and extensible solution for low-cost gaze tracking. AI

IMPACT Provides a low-cost, accessible tool for researchers and clinicians to conduct gaze-tracking studies.

RANK_REASON The cluster describes a new open-source research paper detailing a novel gaze estimation toolbox. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Open-source EyeTheia toolbox offers webcam-based gaze estimation

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The cluster describes a new open-source research paper detailing a novel gaze estimation toolbox. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Stevenson Pather, Niels Martign\`ene, Arnaud Bugnet, Fouad Boutaleb, Fabien D'Hondt, Deise Santana Maia ·

    EyeTheia: A Lightweight and Accessible Eye-Tracking Toolbox

    arXiv:2601.06279v2 Announce Type: replace Abstract: We introduce EyeTheia, a lightweight and open deep learning pipeline for webcam-based gaze estimation, designed for browser-based experimental platforms and real-world cognitive and clinical research. EyeTheia enables real-time …

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