摘要
由于传统信息监测系统在体育运动姿态信息监测应用中的监测效果不佳,因此提出基于多传感器融合的体育运动姿态信息监测系统。首先,利用多传感器融合理论构建系统架构,并采用列阵方式将角速度传感器和惯性传感器融合;其次,构建传感器部署模型、融合模型、分配模型,实现对姿态信息的采集;最后,采用小波技术对信息进行降噪处理,并进行对比实验。实验结果表明,设计系统的召回率在90%以上,最长响应时间为0.51s,在体育运动姿态信息监测方面拥有广阔的应用前景。
Due to the poor mordtoring effect of the traditional information monitoring system in the application of sports posture information monitoring,a sports posture information monitoring system based on multi-sensor fusion is proposed.Firstly,the system architecture is constructed by using multi-sensor fusion theory,and the angular velocity sensor and inertial sensor are fused by array method.Secondly,the sensor deployment model,fusion model and allocation model are constructed to realize the acquisition of attitude information.Finally,wavelet technology is used to de-noise the information,and comparative experiments are carried out.The experimental results show that the recall rate of the designed system is more than 90%,and the longest response time is 0.51 s.It has broad application prospects in sports posture information monitoring.
作者
杨露
YANG Lu(Wuchang Institute of Technology,Wuhan Hubei 430000,China)
出处
《信息与电脑》
2023年第3期34-36,共3页
Information & Computer
关键词
多传感器融合
体育运动
姿态信息
监测系统
multi-sensor fusion
athletic sports
attitude information
monitoring system
