基于足底压力分布的足部运动特征提取

Feature Extraction of Foot Movement Based on Plantar Pressure Distributions

目的分析足底压力分布的统计学行为,提取足部运动的特征,为步态识别研究用于医疗临床诊断、康复训练和大众健康等提供参考。方法通过对采集到的足部压力数据进行预处理,并对数据进行统计分析,实现足迹重构,并对足迹、分割区域以及各区域压力分布率进行比较分析,实现对足部运动特征的分解。结果分区域对足底压力峰值进行分析比较,以不同区域压力峰值变化曲线的交叉点为依据,将足底区域分为脚趾、跖骨、足弓部、脚跟4个区域时,可准确地对足部运动特征进行提取。结论利用足底压力峰值对足部运动特征进行提取,并将足部运动分为着地、整足接触、足跟离地和离地4个阶段。

Objective To analyze the statistical behavior of plantar pressure distribution,extract the characteristics of foot movement,and provide references for application of gait recognition in medical clinical diagnosis,rehabilitation training and public health. Methods The collected foot pressure data were prepossessed,statistical analysis on the data was performed,the footprint reconstruction was realized,and the pressure distribution rates of the footprints,segmented regions and each region were compared and analyzed,so as to decompose the foot motion characteristics. Results Based on the cross point of pressure peak curve in different regions,the plantar region was divided into toe region,metatarsal region,arch region and heel region,which could accurately extract the foot movement characteristics. Conclusions The peak plantar pressure is used to extract the characteristics of foot movement,which is divided into landing stage,whole foot contact stage,heel tiptoe stage and ground off stage.