Extraction of the Information on the Support System of Ladies' Wear Selection Using a 3D-Body Shape and Garment Simulations for Adult Women's Garments Part 1: Classification of 3D-Body Image Type

摘要

To set the garment purchasing system using the network and cellular phone in IT, authors investigated 3-dimensioanl body (referred to as "3D-body" hereinafter) shape images for well-suited garment selection for adult women. In this study, authors extracted the evaluated information to show the relationship between the expression of body image key-words and the representation of the 3D-body modeling simulation. In order to select women's garments well-suited for 3D-body image, 72 subjects of the 3D-body model were adopted from a broad range of women ranging in age from the late 20's to 70's.rnIn this first part of the study, the five principal components of the 3D-body shape images were extracted based on evaluation scales with values from 1 to 5 for full-length 3D-body images A1 to A6 and partial 3D-body images B1 to B19 (number of evaluation respondents = 81). The 3D-body shape image were classified into six clusters i.e., Ideal figure, Underweight figure, Overweight figure, Slightly masculine figure, and other image types, using those 4 principal components scores.