Mobile Terminal-Oriented Real-Time Monitoring Method for Athletes’ Special Training Load

Abstract

Aiming at the problem of inaccurate training load monitoring results due to the large individual differences of athletes’ special training, a real-time monitoring method for athletes’ special training load for mobile terminals is proposed. Use sensors as data collection devices to establish sports scenarios for mobile terminals, and use smart wearable devices to collect real-time data generated by special sports measured by sensors embedded in watches. Select the index reflecting the intensity of training load to find the regularity of athletes’ training growth. By recording the time ratios of different heart rate intervals for each exercise, the distribution and variation of the load intensity during the training were analyzed. Capture complete training load data during the movement. Through the real-time monitoring and early warning of special training load, the training status and training load of athletes can be adjusted, which is beneficial to improve the training quality of athletes. The test results show that the proposed method can improve the monitoring accuracy and provide a reference for improving the project training program.