CoachAI: A Project for Microscopic Badminton Match Data Collection and Tactical Analysis

Tzu Han Hsu, Ching Hsuan Chen, Nyan Ping Jut, Tsi-Ui Ik*, Wen-Chih Peng, Yu-Shuen Wang, Yu-Chee Tseng, Jiun-Long Huang, Yu-Tai Ching, Chih-Chuan Wang, Yuan Hsiang Lin

*此作品的通信作者

研究成果: Paper同行評審

5 引文 斯高帕斯(Scopus)

摘要

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.

原文American English
頁數4
DOIs
出版狀態Published - 18 9月 2019
事件20th Asia-Pacific Network Operations and Management Symposium, APNOMS 2019 - Matsue, Japan
持續時間: 18 9月 201920 9月 2019

Conference

Conference20th Asia-Pacific Network Operations and Management Symposium, APNOMS 2019
國家/地區Japan
城市Matsue
期間18/09/1920/09/19

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