Paper Info
Title
CoachAI: A Project for Microscopic Badminton Match Data Collection and Tactical Analysis
Abstract
Computer vision based object tracking has been used to annotate and augment sports video. For automatically and systematically competition data collection and tactical analysis. The proposed project also includes research of data visualization, connected training auxiliary devices, and data warehouse. Deep learning techniques will be used to develop video-based real-time microscopic competition data collection based on broadcast competition video. Machine learning techniques will be used to develop tactical analysis. In addition, training auxiliary devices including smart badminton rackets and connected serving machines will be developed based on the IoT technology to further utilize competition data and tactical data and boost training efficiency. Especially, the connected serving machines will be developed to perform specified tactics and to interact with players in their training.
Year
DOI
Venue
2019
10.23919/APNOMS.2019.8893039
2019 20th Asia-Pacific Network Operations and Management Symposium (APNOMS)
Keywords
Field
DocType
competition data collection,tactical analysis,computer vision,deep learning,TrackNet,YOLOv3,OpenPose,cloud service,smart racket
Data warehouse,Data collection,Broadcasting,Data visualization,Computer science,Internet of Things,Video tracking,Artificial intelligence,Deep learning,Multimedia,Distributed computing,Cloud computing
Conference
ISSN
ISBN
Citations 
2576-8565
978-1-7281-2733-0
0
PageRank 
References 
Authors
0.34
1
11
Name
Order
Citations
PageRank
Tzu-Han Hsu110.76
Chih-Chuan Wang201.01
Yuan-Hsiang Lin300.68
Ching-Hsuan Chen400.34
Nyan Ping Ju500.34
Tsì-Uí Ik601.01
Wen-Chih Peng71645106.49
Yu-Shuen Wang878539.72
Yu-Chee Tseng96603639.67
Jiun-Long Huang1059247.09
Yu-Tai Ching1122.41