Study on the importance of computer big data to volleyball match: taking the data analysis and application of women's volleyball video challenge of 2020 Tokyo Olympics as an example

Chenxi Liu; Yi Ding; Jun Wang

doi:10.1117/12.2671936

28 March 2023 Study on the importance of computer big data to volleyball match: taking the data analysis and application of women's volleyball video challenge of 2020 Tokyo Olympics as an example

Chenxi Liu, Yi Ding, Jun Wang

Author Affiliations +

Proceedings Volume 12597, Second International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2022); 125972F (2023) https://doi.org/10.1117/12.2671936
Event: Second International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2022), 2022, Nanjing, China

Abstract

The Video Challenge System (VCS) was officially introduced at the 2016 Rio Olympics. Utilizing multiple on-site officiating tracking cameras and processing the captured images with back-end computers, this system was proven to provide fair and effective resolution for disputes. This paper adopts the following research methods: VCS review, and statistical analysis of data from the Women’s Volleyball competition at the 2020 Tokyo Olympics. The author obtained the following results. Limited simulation of flight trajectory when a volleyball is in a close range to the net and limited amount of available data to generalize research findings. According to the Fédération Internationale de Volleyball (FIVB), the most common challenges include touch, ball in/out, followed by faulty antennae. 1) VCS can produce accurate and transparent results and help minimize human judgment errors in the court owing to its extremely high prediction accuracy, and it can create an instant, objective, and direct 3D animation. 2) Mass data collection is required; the VCS analysis and application in the competition need further improvement. 3) The digitalization and intelligence process in the sports industry are facilitated through the interactions between Hawk-eye technology innovation and volleyball rules. 4) Greater granularity in volleyball sport development is stimulated by creating new challenges for athletes, coaches, and referees.

Citation Download Citation

Chenxi Liu, Yi Ding, and Jun Wang "Study on the importance of computer big data to volleyball match: taking the data analysis and application of women's volleyball video challenge of 2020 Tokyo Olympics as an example", Proc. SPIE 12597, Second International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2022), 125972F (28 March 2023); https://doi.org/10.1117/12.2671936

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KEYWORDS

Video

Statistical analysis

Antennas

Cameras

Error analysis

Computing systems

Data analysis

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