The Science and Information (SAI) Organization
  • Home
  • About Us
  • Journals
  • Conferences
  • Contact Us

Publication Links

  • IJACSA
  • Author Guidelines
  • Publication Policies
  • Digital Archiving Policy
  • Promote your Publication
  • Metadata Harvesting (OAI2)

IJACSA

  • About the Journal
  • Call for Papers
  • Editorial Board
  • Author Guidelines
  • Submit your Paper
  • Current Issue
  • Archives
  • Indexing
  • Fees/ APC
  • Reviewers
  • Apply as a Reviewer

IJARAI

  • About the Journal
  • Archives
  • Indexing & Archiving

Special Issues

  • Home
  • Archives
  • Proposals
  • Guest Editors
  • SUSAI-EE 2025
  • ICONS-BA 2025
  • IoT-BLOCK 2025

Future of Information and Communication Conference (FICC)

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact

Computing Conference

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact

Intelligent Systems Conference (IntelliSys)

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact

Future Technologies Conference (FTC)

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact
  • Home
  • Call for Papers
  • Editorial Board
  • Guidelines
  • Submit
  • Current Issue
  • Archives
  • Indexing
  • Fees
  • Reviewers
  • Subscribe

DOI: 10.14569/IJACSA.2024.0151119
PDF

Tennis Action Evaluation Model Based on Weighted Counter Clockwise Rotation Angle Similarity Measurement Method

Author 1: Danni Jiang
Author 2: Ge Liu

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 15 Issue 11, 2024.

  • Abstract and Keywords
  • How to Cite this Article
  • {} BibTeX Source

Abstract: In order to intelligently analyze tennis movements and improve evaluation efficiency, a counter clockwise rotation angle of limbs is proposed to solve the direction problem of tennis movements. A dynamic time regularization algorithm is optimized by combining global time weighting and adjacent frame weighting. The results indicated that the proposed counter clockwise rotation angle feature of limbs could effectively represent changes in limb direction and clearly distinguish action postures. The average accuracy of this method in action classification on the Tennis Stroke Dataset was 97.60%. In the action evaluation mode, the average frame rate of the client was between 17.35FPS and 17.49FPS, and the overall average frame rate was about 17.40FPS. The server exhibits higher efficiency in action processing and evaluation, which can process video frames faster. It is more efficient in processing data capabilities and utilizing data resources. This indicates that the performance of the system is relatively consistent in different modes and has stability. The optimized method has a higher generalization ability in recognizing non-tennis movements on different datasets. When dealing with fine movements, the optimized method performs excellently and can better capture subtle differences in the movements. Meanwhile, this enhances the real-time performance of the system, making it suitable for evaluating tennis movements in practical application scenarios. This provides a new technical path for analyzing tennis movements and also serves as a reference for evaluating movements in other sports.

Keywords: Action evaluation; counter clockwise rotation angle; weighting; dynamic time warping; tennis

Danni Jiang and Ge Liu, “Tennis Action Evaluation Model Based on Weighted Counter Clockwise Rotation Angle Similarity Measurement Method” International Journal of Advanced Computer Science and Applications(IJACSA), 15(11), 2024. http://dx.doi.org/10.14569/IJACSA.2024.0151119

@article{Jiang2024,
title = {Tennis Action Evaluation Model Based on Weighted Counter Clockwise Rotation Angle Similarity Measurement Method},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2024.0151119},
url = {http://dx.doi.org/10.14569/IJACSA.2024.0151119},
year = {2024},
publisher = {The Science and Information Organization},
volume = {15},
number = {11},
author = {Danni Jiang and Ge Liu}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

IJACSA

Upcoming Conferences

IntelliSys 2025

28-29 August 2025

  • Amsterdam, The Netherlands

Future Technologies Conference 2025

6-7 November 2025

  • Munich, Germany

Healthcare Conference 2026

21-22 May 2026

  • Amsterdam, The Netherlands

Computing Conference 2026

9-10 July 2026

  • London, United Kingdom

IntelliSys 2026

3-4 September 2026

  • Amsterdam, The Netherlands

Computer Vision Conference 2026

15-16 October 2026

  • Berlin, Germany
The Science and Information (SAI) Organization
BACK TO TOP

Computer Science Journal

  • About the Journal
  • Call for Papers
  • Submit Paper
  • Indexing

Our Conferences

  • Computing Conference
  • Intelligent Systems Conference
  • Future Technologies Conference
  • Communication Conference

Help & Support

  • Contact Us
  • About Us
  • Terms and Conditions
  • Privacy Policy

© The Science and Information (SAI) Organization Limited. All rights reserved. Registered in England and Wales. Company Number 8933205. thesai.org