Feature Selection for Footwear Shape Estimation

This study proposes feature selection techniques to obtain a set of significant foot anthropometric measurements that can assist custumers in the choice of footwear size and width. The results given by a number of methods are averaged to provide a reliable set of features. Several machine learning methods are used to evaluate the classification (for the width) and regression (for the size) accuracies before and after feature selection. The results prove the benefits of carrying out feature selection, especially for the shoe width.