Abstract
The understanding of body types is the most important thing in the clothing design.
Recently according to the advancement of measuring equipments, the understanding of human body types has become easy. Then, one of the remaining important problems is the body type classification.
In this paper, the body type classification by Cluster Analysis using the measured cross section data of lower trunk were tried. The effectiveness of the body type classification was examined by getting the basic patterns of developed body surface based on the horizontal and vertical curvature distribution for the classified body types. The method proposed in this paper gave a clear classification and the effective key to the clothing design from the mean values of cross section data for the classified body types.
