传感器与微系统2024,Vol.43Issue(3) :156-158,163.DOI:10.13873/J.1000-9787(2024)03-0156-03

基于自适应低通滤波的越野滑雪撑杖计数算法

Cross-country skiing poling counting algorithm based on adaptive low-pass filtering

陈亮 陈维 张婕 何剑
传感器与微系统2024,Vol.43Issue(3) :156-158,163.DOI:10.13873/J.1000-9787(2024)03-0156-03

基于自适应低通滤波的越野滑雪撑杖计数算法

Cross-country skiing poling counting algorithm based on adaptive low-pass filtering

陈亮 1陈维 1张婕 1何剑1
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作者信息

  • 1. 中北大学仪器与电子学院,山西太原 030051
  • 折叠

摘要

针对目前越野滑雪运动教练员对于撑杖数据量化的需求,设计了一种越野滑雪撑杖计数算法.通过快速傅里叶变换(FFT)分析窗口内撑杖数据的特征频率,再设置数据的特征频率为低通滤波的截止频率,对信号进行滤波处理.将窗口内信号邻近峰谷差值的均值作为阈值,用以区分撑杖动作的波形和杂峰,并对撑杖动作进行计数.设定有效撑杖动作波形的波峰时间间隔范围为0.8~2.5 s,从而剔除因伪信号而产生的误差计数.为了验证算法的准确度,分别采集分析了3 位越野滑雪运动员的撑杖数据,结果表明:本文所提出计数算法的准确度达到98.5%,能够满足竞训团队日常的训练需求.

Abstract

Aiming at the requirement of cross-country skiing coaches for data quantization of poling counting,an algorithm for cross-country skiing poling counting is designed.The fast Fourier transform(FFT)is used to analyze on characteristic frequency of the poling data in the window,and then,the characteristic frequency of the data is set as the cut-off frequency of the low-pass filtering for signal filtering.The mean value of the difference between the adjacent peaks and valleys in the window of signal is used as the threshold value to distinguish the waveform and the stray peaks during the poling movement,and counting the poling movement.The peak time interval range of effective poling movement waveform is set as 0.8~2.5 s,so as to eliminate the error count caused by fake signals.In order to verify the accuracy of the algorithm,the poling data of three cross-country skiers are collected and analyzed,respectively.The results indicate that the accuracy of the proposed counting algorithm reaches 98.5%,which can meet the daily training needs of the competition team.

关键词

越野滑雪/撑杖计数/自适应低通滤波/惯性测量单元

Key words

cross-country skiing/poling counting/adaptive low-pass filtering/inertial measurement unit(IMU)

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基金项目

国家重点研发计划资助项目(2019YFB2004802)

国家重点研发计划资助项目(2019YFF0301802)

国家重点研发计划资助项目(2018YFF0300605)

出版年

2024
传感器与微系统
中国电子科技集团公司第四十九研究所

传感器与微系统

CSTPCD北大核心
影响因子:0.61
ISSN:1000-9787
参考文献量11
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