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

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
Main Authors: Jing Shen, Ling Chen, Xiaotong He, Chuanlin Zuo, Xiangjun Li, Lin Dong
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Biomimetics
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
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