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

Cheng Wen Wu; Ming Der Shieh; Jenn Jier James Lien; Jar Ferr Yang; Wei Ta Chu; Tsang Hai Huang; Han Chuan Hsieh; Hung Ta Chiu; Kuo Cheng Tu; Yen Ting Chen; Shian Yu Lin; Jia Jun Hu; Chen Huan Lin; Cheng Siang Jheng

doi:10.1109/JSYST.2022.3169553

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

Cheng Wen Wu, Ming Der Shieh, Jenn Jier James Lien, Jar Ferr Yang, Wei Ta Chu, Tsang Hai Huang, Han Chuan Hsieh, Hung Ta Chiu, Kuo Cheng Tu, Yen Ting Chen, Shian Yu Lin, Jia Jun Hu, Chen Huan Lin, Cheng Siang Jheng

Research output: Contribution to journal › Article › peer-review

14 Citations (Scopus)

Abstract

We participated in Taiwan's National Intercollegiate Athletic Games (NIAG) in early May 2021, and formed a Sport Technology Team of more than 30 scholars, students, and engineers to provide novel systems and solutions that make the athletic games rich in sport technologies. Some of the features could be the first time shown to the Internet audience for large-scale athletic games. The technologies involved include table tennis ball trajectory and bounce distribution, badminton shuttlecock tracking and trajectory, augmented-reality enriched video streaming on social networks, real-time three-dimensional broadcasting with free view-angle, in-stadium video stream pushing by a private fifth-generation (5G) network with multiaccess edge computing, AI-based sport data analytics during live streaming, etc. All the technologies and applications are integrated in a novel technology-enhanced broadcasting system (TEBS) that is dedicated to sport events. This article introduces the respective technologies that we have developed, deployed, and demonstrated in the 2021 NIAG. We stress the layered architecture design and integration of the TEBS, as well as experimental results from real games in the smart stadium and swimming pool. We also discuss the technical challenges and our approaches to tackle them, as well as lessons learned.

Original language	English
Pages (from-to)	6590-6601
Number of pages	12
Journal	IEEE Systems Journal
Volume	16
Issue number	4
DOIs	https://doi.org/10.1109/JSYST.2022.3169553
Publication status	Published - 2022 Dec 1

All Science Journal Classification (ASJC) codes

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

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10.1109/JSYST.2022.3169553

Cite this

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

abstract = "We participated in Taiwan's National Intercollegiate Athletic Games (NIAG) in early May 2021, and formed a Sport Technology Team of more than 30 scholars, students, and engineers to provide novel systems and solutions that make the athletic games rich in sport technologies. Some of the features could be the first time shown to the Internet audience for large-scale athletic games. The technologies involved include table tennis ball trajectory and bounce distribution, badminton shuttlecock tracking and trajectory, augmented-reality enriched video streaming on social networks, real-time three-dimensional broadcasting with free view-angle, in-stadium video stream pushing by a private fifth-generation (5G) network with multiaccess edge computing, AI-based sport data analytics during live streaming, etc. All the technologies and applications are integrated in a novel technology-enhanced broadcasting system (TEBS) that is dedicated to sport events. This article introduces the respective technologies that we have developed, deployed, and demonstrated in the 2021 NIAG. We stress the layered architecture design and integration of the TEBS, as well as experimental results from real games in the smart stadium and swimming pool. We also discuss the technical challenges and our approaches to tackle them, as well as lessons learned.",

author = "Wu, {Cheng Wen} and Shieh, {Ming Der} and Lien, {Jenn Jier James} and Yang, {Jar Ferr} and Chu, {Wei Ta} and Huang, {Tsang Hai} and Hsieh, {Han Chuan} and Chiu, {Hung Ta} and Tu, {Kuo Cheng} and Chen, {Yen Ting} and Lin, {Shian Yu} and Hu, {Jia Jun} and Lin, {Chen Huan} and Jheng, {Cheng Siang}",

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AU - Chu, Wei Ta

AU - Huang, Tsang Hai

AU - Hsieh, Han Chuan

AU - Chiu, Hung Ta

AU - Tu, Kuo Cheng

AU - Chen, Yen Ting

AU - Lin, Shian Yu

AU - Hu, Jia Jun

AU - Lin, Chen Huan

AU - Jheng, Cheng Siang

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

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