Storage and Modeling Research of Yoga Injury Cases by Using Computer Information Technology
- DOI
- 10.2991/978-94-6463-198-2_10How to use a DOI?
- Keywords
- modeling; storage; computer information technology; yoga; acute physical injury
- Abstract
This paper analyzes the main factors causing the acute injury in yoga practice using the least squares SVM. Special statistics were made for parts and categories prone to damage in yoga practice. Athlete injury factor of least squares supporting vector machine was used to provide special statistics on the parts and categories in yoga acute injury, which can made us understand the truth and cause of injury to prevent re-injury, consolidate technical skills and promote scientific fitness, accumulate research data for the theoretical exploration of the project. Based on utilizing computer storage and tracking, this paper makes a study of injuries, physical feelings and emotional changes of five yoga practitioners of different ages and experiences, and summarizes the causes of yoga acute physical injury, on the basis of professional theoretical guidance, opinions and suggestions.
- 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 - Hong Zhang AU - Yanling Sun PY - 2023 DA - 2023/08/10 TI - Storage and Modeling Research of Yoga Injury Cases by Using Computer Information Technology BT - Proceedings of the 2nd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2023) PB - Atlantis Press SP - 88 EP - 95 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-198-2_10 DO - 10.2991/978-94-6463-198-2_10 ID - Zhang2023 ER -