A Footwear Fit Classification Model Based on Anthropometric Data

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A Footwear Fit Classification Model Based on Anthropometric Data

Juan, A. / Nácher, B. / Alcántara, E. / García-Hernández, J. / González, J. C. / Alemany, S. / Heras, S.

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.

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Document information

Title :

A Footwear Fit Classification Model Based on Anthropometric Data

Additional title:

Sae Technical Papers

Contributors:

Juan, A. (author) / Nácher, B. (author) / Alcántara, E. (author) / García-Hernández, J. (author) / González, J. C. (author) / Alemany, S. (author) / Heras, S. (author)

Conference:

2006 Digital Human Modeling for Design and Engineering Conference ; 2006

Published in:

Sae Technical Paper Series

Publication date :

2006-07-04

ISSN :

2688-3627 , 0148-7191

DOI :

https://doi.org/10.4271/2006-01-2356

Type of media :

Conference paper