A Footwear Fit Classification Model Based on Anthropometric Data Instituto de Biomecánica de Valencia (IBV)

Format:

Conference/Event

Author/Creator:

Nácher, B., author.

Conference Name:

2006 Digital Human Modeling for Design and Engineering Conference (2006-07-04 : Lyon, France)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 2006

Summary:

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

Notes:

Vendor supplied data

Publisher Number:

2006-01-2356

Access Restriction:

Restricted for use by site license