Abstract
This study aims to use 936 females' 3D foot anthropometric data to cluster foot shapes and to develop a new sizing system. Twelve-foot dimensions including foot length, ball of foot length, outside ball of foot length, foot breadth, heel breadth, ball circumference, instep circumference, toe height, arch height, instep height, toe 1 angle and toe 5 angle were collected. The PCA results indicated that foot breadth, foot length and arch height were selected as the three principal components. The percentage of total variance explained by the 3 principal components was 76.65 %. Using K-means clustering can classify female subjects' foot into 3 foot types. The new sizing system had less number of sizes, high coverage rate and provided updated foot dimensions as comparing with the current sizing system (CNS 4800-S1093). The manufacturer can apply these results for shoe last design and footwear production with better fitness and less production cost. © 2013 Springer-Verlag Berlin Heidelberg.