In order to reduce the sports injury caused by high intensity sports classes, it is necessary to monitor the state of the sports load. Therefore, the sport’s load monitoring system based on a threshold classification algorithm is proposed. In this paper, we design the hardware and software structures of the sports load monitoring systems in a physical education class. In this system, the state parameters of the sports load are collected by wireless sensor network nodes, and the feature parameters are fused and clustered by the integrated information fusion method. After that, we establish the movement target image acquisition model, which unifies the ZigBee networking realization to the high intensity sports classroom movement load monitoring. Simulation results show that the designed PE classroom sports load monitoring system based on the threshold classification algorithm has high performance for sports parameter monitoring and can effectively avoid sports injury caused by overload.

中文翻译：

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基于阈值分类算法的体育课负荷监测系统研究

为了减少高强度运动课造成的运动损伤，需要监测运动负荷状态。因此，提出了基于阈值分类算法的运动负荷监测系统。在本文中，我们设计了体育课中运动负荷监测系统的硬件和软件结构。在该系统中，运动负荷的状态参数由无线传感器网络节点采集，特征参数通过综合信息融合方法进行融合聚类。之后，我们建立了运动目标图像采集模型，将ZigBee组网实现与高强度体育课堂运动负荷监测相结合。