Metaverse Technology Enabled Figure Skating Industry Upgrade
- DOI
- 10.2991/978-94-6463-230-9_45How to use a DOI?
- Keywords
- Figure skating; Metaverse; Ergonomics Virtual Reality; Sports and Technology
- Abstract
With the prevalence of ice and snow sports, figure skating is gaining more and more attention, and how to develop and promote this sport has become a key issue now. This paper attempts to combine meta-universe technology with figure skating to explore the feasibility of technical transformation of figure skating sports, analyzing the situations and problems that may be encountered before the competition, during the competition process, and how to make figure skating form a complete industrial chain to discover specific ways of role and channels for visibility enhancement. Ultimately, it is found that through the use of meta-universe technologies, such as blockchain, Internet of Things, and human-computer interaction, it assists figure skating to break through the problems related to restricted venues and blurred scoring standards encountered before and during the competition, making the competition more fair and visualized. Through sensors, body data analysis and other ways to enhance the analysis of figure skating data in future practice, more accurate to improve the athletes’ personal sports level, and provide relevant sports support for figure skating fans.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Shuqi Zhang PY - 2023 DA - 2023/09/04 TI - Metaverse Technology Enabled Figure Skating Industry Upgrade BT - Proceedings of the 3rd International Conference on Internet, Education and Information Technology (IEIT 2023) PB - Atlantis Press SP - 383 EP - 394 SN - 2667-128X UR - https://doi.org/10.2991/978-94-6463-230-9_45 DO - 10.2991/978-94-6463-230-9_45 ID - Zhang2023 ER -