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Reliability of artificial intelligence-driven markerless motion capture in gait analyses of healthy adults
Journal article   Open access   Peer reviewed

Reliability of artificial intelligence-driven markerless motion capture in gait analyses of healthy adults

Brandon Schoenwether, Zachary Ripic, Mitchell Nienhuis, Joseph F Signorile, Thomas M Best and Moataz Eltoukhy
PloS one, Vol.20(1), p.e0316119
2025
PMID: 39841651
Appears in  Miller School of Medicine - Latest Publications

Abstract

Adult Artificial Intelligence Biomechanical Phenomena Female Gait - physiology Gait Analysis - methods Healthy Volunteers Humans Male Motion Capture Reproducibility of Results Young Adult
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https://doi.org/10.1371/journal.pone.0316119View
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