基于惯性传感器的短跑运动腿部姿态监测方法

Monitoring Method of Leg Posture of Sprinters Based on Inertial Sensor

为了实现对短跑运动腿部姿态准确监测,提出基于惯性传感器短跑运动腿部姿态监测方法。利用无线传感器网络设计分布式短跑运动腿部姿态信息采集节点,在运动员腿部安装压力传感器和惯性传感器,根据传感器的输出振荡幅值进行信息融合和关联挖掘,完成短跑运动腿部姿态数据信息重组;结合传感量化跟踪识别方法进行短跑运动腿部姿态数据自动监测,根据短跑运动腿部姿态监测输出信息的特征聚类结果进行模糊自适应融合处理,采用相关匹配滤波检测方法进行干扰数据滤波,实现短跑运动腿部姿态数据智能监测。仿真结果表明,采用该方法进行短跑运动腿部姿态监测准确性和精度较高,监测过程抗干扰能力较强,有效提高了短跑运动腿部姿态跟踪识别能力。

To accurately monitor the posture of sprinting legs,a new method based on inertial sensor was proposed.The wireless sensor network was used to design the collection node of the posture information of sprinting legs,and the pressure sensor and inertia sensor were installed in the legs of sprinters.The information fusion and correlation mining were carried out according to the output oscillation amplitude of the sensor,and the information reorganization of the posture data of sprinting legs was completed.Combined with the sensor quantitative tracking and recognition method,the automatic monitoring of the leg posture data of sprinters was carried out.According to the feature clustering results of the output information of the leg posture monitoring of sprinters,the fuzzy adaptive fusion processing was conducted,and the interference data filtering was performed by using the correlation matching filter detection method to realize the intelligent monitoring of the leg posture data of sprint.The simulation results showed that this method has high accuracy and strong anti-interference ability,and effectively improves the tracking and recognition ability of sprinting leg posture.