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New methodology measures webcam gaze tracker latency honestly

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a new methodology called Capture-Clock to accurately measure the latency of browser-based webcam gaze trackers. This method addresses the issue where current trackers often report inaccurate latency by timestamping gaze samples upon emission rather than capture. The new approach utilizes the browser's requestVideoFrameCallback API to recover a per-frame capture clock, enabling more honest latency measurements. An open-source TypeScript implementation is provided, demonstrated with engines like WebGazer and a FaceMesh+KRR pipeline. AI

IMPACT Improves accuracy in webcam-based gaze tracking, crucial for research and clinical applications.

RANK_REASON The cluster contains a research paper detailing a new methodology and implementation for measuring webcam gaze tracker latency. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.CV →

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

New methodology measures webcam gaze tracker latency honestly

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The cluster contains a research paper detailing a new methodology and implementation for measuring webcam gaze tracker latency. [lever_c_demoted from research: ic=1 ai=0.7]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Chi-Sheng Chen, Gabriel A. Brat ·

    Measuring Browser Webcam Gaze Honestly: A Capture-Clock Methodology and Open Reference Implementation

    arXiv:2608.11566v1 Announce Type: cross Abstract: Browser-based webcam gaze trackers are increasingly used for crowd-scale data collection and in clinical settings where lab eye trackers are impractical, but the reported latency numbers may not represent real world functionality.…

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