The analysis of motion recognition model for badminton player movements using machine learning

The analysis of motion recognition model for badminton player movements using machine learning

Abstract This study aims to comprehensively analyze and classify the badminton players’ swing actions by combining the theoretical frameworks of quantum mechanics and machine learning. A badminton stroke recognition method based on Quantum Convolutional Neural Network (QCNN) is proposed. It is then...

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Bibliographic Details
Main Authors: Xuanmin Zhu, Lizhi Liu, Jingshuo Huang, Genyan Chen, Xi Ling, Yanshuo Chen
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Subjects:
Machine learning
Quantum mechanics
Badminton stroke action recognition
QCNN
SVM
Online Access:https://doi.org/10.1038/s41598-025-02771-9
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https://doi.org/10.1038/s41598-025-02771-9

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