Statistical Analysis to Develop a Three-Dimensional Surface Model of a Midsize-Male Foot

Abstract

A representative midsize-male foot was generated via a statistical analysis of foot scans from 107 men with widely varying body size. Seventy-two surface landmarkswere manually extracted from the original scan data. A template fitting method was used to represent each scan with a homologous mesh. A principal component analysis and least-squares linear regression were used to generate a foot surface model with landmarks using a reference stature of 1755 mm and a body mass of 83.19 kg. The statistical model can be used to generate a wide range of male foot sizes and shapes.

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Document Details

Document Type
Technical Report
Publication Date
Oct 31, 2013
Accession Number
AD1011317

Entities

People

  • Brian D. Corner
  • Matthew P. Reed
  • Shelia M. Ebert

Organizations

  • University of Michigan

Tags

Communities of Interest

  • Biomedical
  • Human Systems

DTIC Thesaurus Topics

  • Body Weight
  • Computer Graphics
  • Data Analysis
  • Data Processing
  • Data Science
  • Engineering
  • Factor Analysis
  • Information Science
  • Regression Analysis
  • Standards
  • Statistical Analysis
  • Statistics
  • Surveys
  • Template Patterns
  • Three Dimensional
  • United States
  • United States Government

Readers

  • Computational Fluid Dynamics (CFD)
  • Exercise and Sports Science.
  • Regression Analysis.