摘要
针对传统运动辅助训练系统存在的运动辅助训练方法匮乏、教练的指导效率低的问题,文中提出一种基于MEMS传感器的运动辅助训练系统。利用MEMS传感器的工作原理,通过运动辅助训练系统逻辑框架设计和运动辅助训练传感器设计完成系统的硬件设计。同时,通过提取运动轨迹特征并结合卡尔曼滤波方法,对运动员手臂运动姿态角进行计算,对运动员姿态估计算法进行设计,最终完成系统的软件设计,从而实现运动辅助训练系统的设计。实验测试结果表明,基于MEMS传感器的运动辅助训练系统不仅可以增加运动辅助训练方法的数量,还可以提高教练的指导效率,从而大大提高运动辅助训练系统的性能。文中设计系统对运动捕捉技术的推广和其在辅助训练领域的应用具有重要意义。
In allusion to the problems of the lack of sports assistant training methods and the low guiding efficiency of coaches in the traditional sports assistant training system,a design of sports assistant training system based on MEMS sensor is proposed.On the basis of the working principle of MEMS sensor,the hardware design of the system is completed by designing the logical framework of the sports assistant training system and the sports assistant training sensor.The motion attitude angle of athlete′s arm is calculated by extracting the motion trajectory characteristics and combining the Kalman filtering method,and the attitude estimation algorithm of athlete is designed,so that the software design of the system is completed.Therefore,the design of the assistant training system is realized.The experimental testing results show that the sports assistant training system based on MEMS sensor can not only increase the number of sports assistant training methods,but also improve the guidance efficiency of coaches,so as to greatly improve the performance of sports assistant training system.The designed system is of great significance to the promotion of motion capture technology and its application in the field of assistant training.
作者
赵文楠
王明磊
ZHAO Wennan;WANG Minglei(Yanshan University,Qinhuangdao 066004,China)
出处
《现代电子技术》
2022年第4期50-54,共5页
Modern Electronics Technique
基金
河北省自然科学基金(F2019202337)
2020年度河北省社会科学发展研究项目(20200503137)。
关键词
运动辅助训练
MEMS传感器
运动轨迹
姿态角计算
姿态估计算法
特征提取
系统测试
sports assistant training
MEMS sensor
motion trajectory
attitude angle calculation
attitude estimation algorithm
feature extraction
system testing
