Automatic Shuttlecock Motion Recognition Using Deep Learning
Author:
Affiliation:
1. Department of Physical Education, Graduate School, Woosuk University, Wanju-gun, Republic of Korea
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10273685.pdf?arnumber=10273685
Reference34 articles.
1. Recognition of Badminton Shot Action Based on the Improved Hidden Markov Model
2. Table tennis stroke detection and recognition using ball trajectory data;kulkarni;arXiv 2302 09657,2023
3. Badminton action recognition based on improved I3D convolutional neural network
4. YOLO-BTM: A Novel Shuttlecock Detection Method for Embedded Badminton Robots
5. Using FTOC to track shuttlecock for the badminton robot
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