Design and Application of Track and Field Sports Teaching and Training Intensity Monitoring System Based on Wireless Sensor Technology

Design and Application of Track and Field Sports Teaching and Training Intensity Monitoring System Based on Wireless Sensor Technology

Authors

  • zhifang xiao School of Public Courses, Hunan Mechanical & Electrical Polytechnic, Changsha, Hunan, China https://orcid.org/0009-0005-4937-3929
  • wentao guo School of Electrical Engineering, Hunan Mechanical & Electrical Polytechnic, Changsha, Hunan, China

DOI:

https://doi.org/10.37965/jait.2025.0960

Keywords:

IMU, physical education, track and field, training load monitoring, Wireless Sensor Networks

Abstract

This study designs and validates a wireless sensor network (WSN) system for the objective, continuous quantification of training intensity in track and field. The system integrates wearable inertial and heart rate sensors, transmitting data via a low-power LoRa (Long Range) network to a cloud platform. Machine learning algorithms classify activities and compute intensity metrics like PlayerLoad™ and Training Impulse (TRIMP). In a 12-week study with 45 university athletes, the system’s intensity metrics show a strong correlation with blood lactate levels (r = 0.92, p < 0.01). The experimental group using the system demonstrates a 15.3% greater improvement in performance times and a 28% reduction in non-functional overreaching compared to the control group, confirming the system’s effectiveness for data-driven training optimization.

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Published

2026-01-04

How to Cite

xiao, zhifang, & guo, wentao. (2026). Design and Application of Track and Field Sports Teaching and Training Intensity Monitoring System Based on Wireless Sensor Technology. Journal of Artificial Intelligence and Technology. https://doi.org/10.37965/jait.2025.0960

Issue

Section

Research Articles
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