This study describes the development of a model for predicting footwear fit on the basis of user data. The model involved the design of a footwear classification system which grouped different types of footwear into classes on the basis of functional features.Foot dimensions of a total of 316 female participants were measured with a 3D scanner and individual preferences regarding overall shoe fit were input into the system. Fitting trials were performed to determine subjective evaluations of the shoe classes.The results show a mean accuracy of approximately 65.7% in the prediction of the fitting level using the statistical model.
A Footwear Fit Classification Model Based on Anthropometric Data
Sae Technical Papers
2006 Digital Human Modeling for Design and Engineering Conference ; 2006
2006-07-04
Conference paper
English
A footwear fit classification model based on anthropometric data
Automotive engineering | 2006
|NTRS | 1979
|Exploring anthropometric data through cluster analysis
Automotive engineering | 2004
|Exploring Anthropometric Data through Cluster Analysis
SAE Technical Papers | 2004
|Springer Verlag | 2021
|