Comparison of marker-less 2D image-based methods for infant pose estimation

Comparison of marker-less 2D image-based methods for infant pose estimation

Abstract In this study we compare the performance of available generic- and specialized infant-pose estimators for a video-based automated general movement assessment (GMA), and the choice of viewing angle for optimal recordings, i.e., conventional diagonal view used in GMA vs. top-down view. We use...

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Bibliographic Details
Main Authors: Lennart Jahn, Sarah Flügge, Dajie Zhang, Luise Poustka, Sven Bölte, Florentin Wörgötter, Peter B. Marschik, Tomas Kulvicius
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Scientific Reports
Subjects:
Full body pose estimation
Infant motion analysis
Deep neural networks
GMA
Online Access:https://doi.org/10.1038/s41598-025-96206-0
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https://doi.org/10.1038/s41598-025-96206-0

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