摘要
为了对健美操运动员上肢运动姿态进行实时有效的捕获,此次课题实验对微惯性传感器等进行了探究,通过融入二级扩展卡尔曼滤波算法的方式,改进了姿态解算算法。姿态估计与捕获的结果显示本算法的预测精度较高,这表明采用改进姿态计算算法能够有效规避外界磁场干扰带来的解算风险,在加入自适应加速度误差协方差算子的影响下,估计误差得到了明显的减少,基于微惯性传感器的改进算法可显著提高偏航角、俯仰角与翻滚角的估计精度,并实现对健美操运动员上肢运动姿态的实时捕获。基于微惯性传感器的健美操运动员上肢运动姿态捕获系统具有较高的实时性与精确性,可广泛应用于实际的姿态捕获作业中。
In order to realize the real-time and effective capture of Aerobics Athletes'upper limb movement posture,this experiment explores the micro inertial sensor,and improves the posture algorithm by integrating the two-level extended Kalman filter algorithm.The results of attitude estimation and acquisition show that the prediction accuracy of the proposed algorithm is high,which indicates that the improved attitude calculation algorithm can effectively avoid the calculation risk caused by external magnetic field interference.Under the influence of the adaptive acceleration error covariance operator,the estimation error is significantly reduced.The improved algorithm based on Micro inertial sensor can significantly improve the yaw angle The estimation accuracy of pitch angle and roll angle is improved,and the real-time capture of upper limb movement posture of Aerobics athletes is realized.The upper limb movement posture capture system of Aerobics athletes based on micro inertial sensor has high real-time and accuracy,and can be widely used in the actual posture capture operation.
作者
叶艳
YE Yan(School of Physical Education,Ankang University,Ankang,Shanxi 725000,China)
出处
《自动化与仪器仪表》
2021年第11期183-187,共5页
Automation & Instrumentation
基金
陕西省体育局常规课题(安康市体育旅游资源调查和旅游产业开发融合研究(17104))。
关键词
微惯性传感器
运动员
上肢
运动姿态
捕获
Micro inertial sensor
Athletes
Upper limb
Movement attitude
Capture
