The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Computer Vision Technology for Constructing a Swing Action Recognition and Feedback System
|
|
Author(s): Wenjing Nian (Department of Physical Education, Hebei University, China), Ye Gao (Continuing Education College, Shijiazhuang College of Applied Technology, China), Juntang Yang (Department of Physical Education, Shijiazhuang College of Applied Technology, China), Xiaoyi Yang (Auckland Bioengineering Institute, University of Auckland, New Zealand)and Luguang Wen (Department of Physical Education, Shijiazhuang University, China)
Copyright: 2026
Volume: 19
Issue: 1
Pages: 19
Source title:
International Journal of Information Technologies and Systems Approach (IJITSA)
Editor(s)-in-Chief: Sangbing (Jason) Tsai (International Engineering and Technology Institute (IETI), Hong Kong)and Wei Liu (Qingdao University, China)
DOI: 10.4018/IJITSA.396710
Purchase
|
Abstract
This study aims to construct a swing action recognition and feedback system that can be directly applied to table tennis teaching and training to realize real-time evaluation and targeted guidance of athletes' technical actions. Firstly, a dual-view high-speed acquisition scheme was designed. The red-green-blue and depth information were weighted and fused. Combined with dynamic threshold and motion detection, stable background segmentation was completed to ensure the accuracy of skeleton key point extraction. Secondly, a key frame extraction mechanism driven by the combination of speed peak and skeleton posture change rate was introduced before spatiotemporal modeling. Finally, the local joint and whole-body posture features were fused, and trajectory curvature parameters were introduced to describe the racket movement path. Combined with the convolution-attention hybrid network, action classification was realized.
Related Content
|
Siyu Wang, Xing Liu, Dong Lu, Xiaoyi Yang, Jing Chang.
© 2026.
16 pages.
|
|
Wenjing Nian, Ye Gao, Juntang Yang, Xiaoyi Yang, Luguang Wen.
© 2026.
19 pages.
|
|
Yang Li, Yang Yang, Zihan Wang.
© 2026.
18 pages.
|
|
He Danni.
© 2026.
21 pages.
|
|
Yiyu Dai, Junzheng Lu, Zesen Li, Jiawei Li, Yunxi Lu.
© 2026.
18 pages.
|
|
Tao Shi, Qiang Wan.
© 2026.
17 pages.
|
|
Weijian Zhu, Jingting Lin.
© 2026.
19 pages.
|
|
|