基于鞋垫传感器测量垂直地面反作用力的算法
DOI:
作者:
作者单位:

1.福州大学,先进制造学院;2.中国科学院海西研究院泉州装备制作研究中心

作者简介:

通讯作者:

中图分类号:

基金项目:


A Algorithm for Measuring Vertical Ground Reaction Force Based on Insole Sensors
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    提出一种高效、低成本的足底压力动态监测算法,通过电容式鞋垫传感器测量走路时垂直地面反作用力(Vertical ground reaction force,VGRF)的大小。 方法 受试者穿戴电容式鞋垫传感器在Kistler三维测力台上采集走路数据(快速行走、慢速行走),对电容式鞋垫传感器采集到的数据进行预处理,并通过残差神经网络ResNet18拟合得到高精度的垂直地面反作用力。 结果 与Kister测力台收集的数据分析比较,快速行走和慢速行走的标准化均方根误差(Normalized root mean square error,NRMSE)分别为8.16%和6.49%,皮尔森相关系数(Pearman correlation coefficient)均大于0.96。结论 本研究为垂直地地面反作用力的动态测量提供了一种实用、高精度的算法。

    Abstract:

    Objective To propose a low-cost and algorithm solution for dynamic monitoring of plantar pressure by measuring the vertical ground reaction force (VGRF) during walking with a capacitive insole sensor. Methods Subjects wore the capacitive insole sensor to collect walking data (fast walking and slow walking) on a Kistler 3D dynamometer, and the data collected by the capacitive insole sensor were pre-processed and fitted by the residual neural network ResNet18 to obtain the vertical ground reaction force with high accuracy. Results Compared with the analysis of the data collected from the Kister force measurment platform, the normalized root mean square error (NRMSE) for fast walking and slow walking were 8.16% and 6.49%, respectively, and the Pearman correlation coefficient were greater than 0.96. Conclusion This study provides an economical and highly accurate measurement method for the dynamic measurement of vertical ground reaction forces.

    参考文献
    相似文献
    引证文献
引用本文
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2022-06-10
  • 最后修改日期:2022-07-29
  • 录用日期:2022-08-01
  • 在线发布日期:
  • 出版日期:
关闭