Analysis and classification of three-dimensional trunk shape of women by using the human body shape model

This paper proposes a new method for extracting shape components of the trunk of women from three-dimensional measurements and tries a classification of the trunk shapes. Subjects in this study are 560 Japanese women, ranging in age from 19 to 63 years. First, the authors describe three-dimensional (3D) trunk shape using the control points given by fitting the human body shape model to 3D measurements of the subjects and reduce the number of the control points to be suited for statistical analysis based on correlation strength. The principal component analysis is applied to the shape data or the reduced set of the control points. Then, the authors interpret trunk shape components by combining factor loading map and averaged shape figures. Finally, the authors try to classify the trunk shape of Japanese women by means of the cluster analysis of component scores of the above results.