Research on the Application of the Data Analysis of the Sports Biomechanics in the Sports Training under the Background of Big Data

被引:0
|
作者
Xu, Jing [1 ]
机构
[1] Xian Phys Educ Univ, Xian 710068, Shaanxi, Peoples R China
关键词
Big data background; Sports biomechanics; Data analysis; Sports training; Application research;
D O I
10.26602/1nms.2017.75.323
中图分类号
C [社会科学总论];
学科分类号
03 ; 0303 ;
摘要
As the application of the Internet technologies is becoming more and more mature, now the application of the big data has become the convenience that the Internet technology brings to the entire era. To systematically apply the big data, we must improve its application needs according to the specific characteristics of the big data era, to fundamentally explore the specific strategies to construct the analysis platform of the large data. This paper starts from the analysis of the characteristics of the times of the big data, combined with the relevant requirements on the implementation of the current sports training activities, and combined with the value functions of the mathematical analysis of the sports biomechanics, so as to analyze the specific application strategies of the data analysis of the sports biomechanics in the sports training under the background of the big data. It is the application of the Internet technology that has laid an important foundation for the transformation and the development of the whole society. Especially while the big data applications are becoming increasingly mature today, we should improve the construction of the analysis platform of the large data, combined with the specific functional properties and the application values of the big data analysis, so as to realize the systematical integration of the development of all walks of life into the application of the big data. Of course, to make good use of the big data platform, we must understand what are the characteristics of the application of the big data platform, and at the same time, we should also understand the specific application requirements and connotations, so as to adapt to the characteristics of the times of the big data, to provide the scientific decision-making for the effective implementation of the sports training activities.
引用
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页码:323 / 327
页数:5
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