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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: Hai Thanh Nguyen,  Nguyen Nhat Truong,  Linh Thuy Thi Pham and  Ngoc Huynh Pham  
Open Access
|May 2025

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.

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