2019 VOL.2 Feb No.1

• Title: Real-time monitoring system based on long-term exercise training large data
• Name: Daniel Thomason
• Company: Hanze University Groningen,Groningen,Holland
• Abstract:

  Traditional sports training real-time monitoring system to lower long-term real-time monitoring of the accuracy of sports training. This paper presents a real-time monitoring of long-term sports training system based on large data. It introduces the MVC design pattern framework, based on the model 1/2 architecture to achieve real-time monitoring system to build the framework of a long-term sports training; algorithm design calculations based on big data, using the Struts time monitoring of long-term exercise training, based on the completion of big data Research on real-time monitoring system for long-term exercise training. The test data shows that compared with the traditional monitoring system, the monitoring accuracy of the real-time monitoring system is improved by 37.22%, which is suitable for real-time monitoring of long-term sports training big data.

• Keyword: big data; long-term training; sports training; real time monitoring;
• DOI: 10.12250/jpciams2019010128
• Citation form: Daniel Thomason.Real-time monitoring system based on long-term exercise training large data[J]. Computer Informatization and Mechanical System, 2019, vol. 2, pp. 1-6.

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