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An Approach using Skeleton-based Representations and Neural Networks for Yoga Pose Recognition Cover

An Approach using Skeleton-based Representations and Neural Networks for Yoga Pose Recognition

Applied Computer Systems
Volume 30 (2025): Issue 1 (January 2025)
By: ,  ,   and    
Open Access
|May 2025
Authors

Authors

Hai Thanh Nguyen

nthai.cit@ctu.edu.vn

College of Information and Communication Technology, Can Tho University, Can Tho, Vietnam

Nguyen Nhat Truong

itnntruong@gmail.com

College of Information and Communication Technology, Can Tho University, Can Tho, Vietnam

Linh Thuy Thi Pham

pttlinh@ctuet.edu.vn

Faculty of Information Technology, Can Tho University of Technology, Can Tho, Vietnam

Ngoc Huynh Pham

ngocph11@fpt.edu.vn

FPT University, FPT Polytechnic, Can Tho, Vietnam
DOI: https://doi.org/10.2478/acss-2025-0009 | Journal eISSN: 2255-8691 | Journal ISSN: 2255-8683
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Language: English
Page range: 75 - 84
Submitted on: Feb 17, 2025
Accepted on: May 6, 2025
Published on: May 24, 2025
Published by: Riga Technical University
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open
Keywords:
Classification,
image classification,
MoveNet,
pose recognition,
skeleton data,
skeleton-based feature,
yoga pose
Related subjects:
Computer sciences,
Artificial intelligence,
Information technology,
Project management,
Software development

© 2025 Hai Thanh Nguyen, Nguyen Nhat Truong, Linh Thuy Thi Pham, Ngoc Huynh Pham, published by Riga Technical University
This work is licensed under the Creative Commons Attribution 4.0 License.

Volume 30 (2025): Issue 1 (January 2025)
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