Shoe Size Recommendation System Based on Shoe Inner Dimension Measurement

The purpose of this work is to develop a system for supporting Internet footwear sales. The goal is to increase the accuracy of the shoe size and model selection when buying in the Internet. We propose a recommendation system which improves the classification accuracy and is based on foot and/or shoe scanners. 271 adult subjects participated in this study. The subjects were asked to estimate the comfort and fit of the shoes. The analysis show that only 50% of selections were correct if the selection relies on subject’s usual size. One of the main reasons for the poor results of shoe selection is the inconsistency of shoe production. Therefore, we developed special devices for measuring the actual inner 3D model of shoes. The shoe inner dimension measurement (SID) is based on x-ray images of the shoes. Based on shoe and foot dimension we are able to increase the recommendation accuracy from 50% up to 85% in some cases. Such a progress could make the Internet shoe sales problematic feasible.