基于多元回归的足迹压痕量化指标分析

Quantitative Index Analysis of Footprint Press Mark Based on Multivariate Regression Model

通过多元回归模型的标准系数来分析各类足底压力参数对足迹压痕的贡献程度。首先使用novel-emed压力平板采集10名志愿者穿用新鞋所行走的足底压力数据,并同时刻收集油墨捺印样本。其次运用最大类间方差法对油墨足迹图片进行压痕量化表征,提出足迹重压度的概念(Sd)。随后建立多元回归模型,模型选出了三个最具代表性的指标,分别是压力冲量(标准系数为0.942),接触面积(标准系数为-0.328),压强冲量(标准系数为-0.144)。最后提出了一种依据压力冲量指标来判断足迹压痕类型的方法,该方法直观快速,具有一定的科学性。

The standard coefficients of multivariate regression model are used to analyze the contribution of various plantar pressure parameters to footprint press mark.Firstly,the novel-emed pressure measurement devices was used to collect plantar pressure data of 10 volunteers walking naturally with new shoes,and ink stamping samples were collected at the same time.Secondly,the Otsu threshold method are used to quantify the indentation of ink footprint images,and the concept of footprint pressure degree(Sd)is proposed.Then a multivariate regression model was established,and three most representative indicators were selected,namely,pressure impulse(standard coefficient is 0.942),contact area(standard coefficient is-0.328),and force impulse(standard coefficient is-0.144).Finally,a method to judge the type of footprint press mark based on the force impulse index is proposed.This method is intuitive,fast and scientific.