DeepLabCut custom-trained model and the refinement function for gait analysis

DeepLabCut custom-trained model and the refinement function for gait analysis

Abstract The current gold standard for the study of human movement is the marker-based motion capture system that offers high precision but constrained by costs and controlled environments. Markerless pose estimation systems emerge as ecological alternatives, allowing unobtrusive data acquisition in...

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Bibliographic Details
Main Authors: Giulia Panconi, Stefano Grasso, Sara Guarducci, Lorenzo Mucchi, Diego Minciacchi, Riccardo Bravi
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Deep learning
DeepLabCut
Gait Analysis
OpenPose
Pose estimation
Video analysis
Online Access:https://doi.org/10.1038/s41598-025-85591-1
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