An Interactive Human-in-the-Loop Framework for Skeleton-Based Posture Recognition in Model Education

This paper presents a human-in-the-loop interactive framework for skeleton-based posture recognition, designed to support model training and artistic education. A total of 4870 labeled images are used for training and validation, and 500 images are reserved for testing across five core posture categ...

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Bibliographic Details

Published in:	Biomimetics
Main Authors:	Jing Shen, Ling Chen, Xiaotong He, Chuanlin Zuo, Xiangjun Li, Lin Dong
Format:	Article
Language:	English
Published:	MDPI AG 2025-07-01
Subjects:	skeleton-based posture recognition deep learning human pose estimation human-in-loop-control intelligent teaching system
Online Access:	https://www.mdpi.com/2313-7673/10/7/431