- Title:
Research on Automatic Screening Method of Sports Load Index in Big Data Environment
- Name:
Bethmann Lonneke
- Company:
Geneva Business School
- Abstract:
With the continuous development of China's economy, the quality of life of the people is constantly improving, and the concern for healthy lifestyles is getting higher and higher. According to the above background, the research on automatic screening method of sports load index in big data environment is proposed. Firstly, the exercise load index is briefly explained, which is mainly divided into three aspects: exercise intensity; number of exercise; exercise density; secondly, the automatic screening method for designing exercise load index under the premise of big data; Finally, in order to verify the effectiveness of the design screening method, a simulation experiment was designed. The experimental results show that the screening rate of the method is 30% higher than the traditional method, and the screening accuracy is 10% higher, indicating that the method is effective.
- Keyword:
Big Data; Exercise Load; Index; Automatic Screening;
- DOI:
10.12250/jpciams2019050542
- Citation form:
Bethmann Lonneke.Research on Automatic Screening Method of Sports Load Index in Big Data Environment[J]. Computer Informatization and Mechanical System, 2019, vol. 2, pp. 93-98.
|
