Application Algorithms for Basketball Training Based on Big Data and Internet of Things

被引：3
|
作者：
Li, Bo [1 ]
Wang, Xiaofeng [2 ]
Yao, Jinting [3 ]
机构：
[1] Lingnan Normal Univ, Sch Sport Sci, Zhanjiang 524048, Guangdong, Peoples R China
[2] Hebei Vocat Coll Rail Transportat, Sports Dept, Shijiazhuang 050000, Hebei, Peoples R China
[3] Shijiazhuang Vocat Coll Sci & Tech Engn, Shijiazhuang 050000, Hebei, Peoples R China
来源：
MOBILE INFORMATION SYSTEMS | 2021年 / 2021卷
关键词：
722.3 Data Communication; Equipment and Techniques - 723 Computer Software; Data Handling and Applications - 723.2 Data Processing and Image Processing;
D O I：
10.1155/2021/9934363
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In recent years, the increasing demand for physical health promotes the basketball sports industry's reform. The latest science and technology enter the sports industry one after another and constantly impact the traditional sports equipment. However, the conventional sports technology scheme is unreasonable, and the sports training management models are obsolete. So, it is impossible to use scientific methods in basketball training, and the overall training effect is not good. This paper proposes a basketball training algorithm using big data and the Internet of Things. The proposed algorithm uses gesture recognition from continuous video movement characteristics of key figures, trajectory characteristics, and background information fusion. It improves the recognition mechanism based on the Shuangliu C3D video basketball player action classification method. Due to the lack of a scientific exercise plan for basketball players, a training plan based on BMI and IoT-enabled big data is devised. The proposed scheme is implemented so that different basketball players customize their own scientific sports training modules.
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收藏
页数：8
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