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CRADLE: A Clinically Robust, Anatomy-Aware Post-Processing Framework for Infant GMA Landmark Tracking in 2D Videos

2026-05-19

Abstract excerpt

Accurate pose estimation is central to automated infant General Movements Assessment during the fidgety period, when subtle limb movements, particularly at distal joints inform neurodevelopmental risks. Robust 2D pose tracking from handheld videos remains challenging in real-world settings, where occlusion, rapid motions, and visually ambiguous smaller joints frequently compromise anatomical accuracy. We present C...

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Literature Corpus work
7f3215ca-46fa-5e2a-899c-71c0223cd567
DOI
10.64898/2026.05.16.725614
Open publication

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CRADLE: A Clinically Robust, Anatomy-Aware Post-Processing Framework for Infant GMA Landmark Tracking in 2D VideosDOI 10.64898/2026.05.16.725614
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