Enhancing Fan Engagement in a 5G Stadium With AI-Based Technologies and Live Streaming

Author:

Wu Cheng-Wen1ORCID,Shieh Ming-Der2ORCID,Lien Jenn-Jier James3ORCID,Yang Jar-Ferr2ORCID,Chu Wei-Ta3ORCID,Huang Tsang-Hai4,Hsieh Han-Chuan5,Chiu Hung-Ta4ORCID,Tu Kuo-Cheng4,Chen Yen-Ting2,Lin Shian-Yu2,Hu Jia-Jun2,Lin Chen-Huan6,Jheng Cheng-Siang2ORCID

Affiliation:

1. Department of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan

2. Department of Electrical Engineering and Miin Wu School of Computing, National Cheng Kung University, Tainan, Taiwan

3. Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan

4. Institute of Physical Education, Health and Leisure Studies, National Cheng Kung University, Tainan, Taiwan

5. Industrial Technology Research Institute, Hsinchu, Taiwan

6. Department of Industrial Design, National Cheng Kung University, Tainan, Taiwan

Funder

National Cheng Kung University

Industrial Technology Research Institute

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering,Computer Networks and Communications,Computer Science Applications,Information Systems

Reference24 articles.

1. The new science of bioball: Sensors and software protect baseball pitchers from injury

2. DeepBall: Modeling expectation and uncertainty with recurrent neural networks;calzada,0

3. IoT Platform for Sports Analytics

4. Using deep learning to understand patterns of player movement in the NBA;nistala;Proc 13th MIT Sloan Sports Anal Conf,0

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