Classification of upper lateral body shapes for the apparel industry

Abstract

The lateral body shape is a critical determiner of the fit of garments. Either visual assessment or statistical analysis methods have been used to classify the lateral body types. These methods are limited to some extent since various anthropometric features inherently coexist and interact in a human body shape. This study aims to develop objective criteria for the classification of upper lateral body shapes integrating visual assessment and statistical analysis. The three-dimensional scan data of 246 women between 18 and 49 years old were visually classified into four lateral body shapes by an expert panel. In addition, the back space and lateral angles extracted from the scan data were employed for further statistical analyses. Multinomial logistic regressions were used to develop logit models for lateral body types. It was concluded that the resulting logit models could classify lateral body types and calculate the probability of a set of body scan data being classified as a certain lateral body type. It is expected that this probability might be a guideline to quantify the characteristics of the lateral body shape in the apparel industry. C

Analysis of segmented elderly women’s lower bodies using 3D-LOOK scan data and virtual representation

“…Kim 60 used expert visual evaluation to classify lateral body shapes in adult males and reported an overall agreement across experts of 66.75%. Choi and Nam 53 used expert visual evaluation to classify lateral body shapes in adult females and reported an overall agreement of 87.6%. When Kim 70 used expert visual evaluation in adult males, the overall agreement for abdominal type was 87.49%, and for lateral body shape was 83.22%.…”

“…With the recent commercialization of 3D human body scanners, body scan data are being used in hightech industries, including apparel, automobiles, medicine, animation, and artifact restoration. 47,[51][52][53] In the apparel field, 3D scanning technology is an indispensable technology for future development of the digital fashion industry and, as such, there is active research on 3D scan data use. 47,[53][54][55][56][57] Although prior studies in the clothing and textiles field have used 3D body scan technology to classify body types or make clothing patterns, most only extracted 2D information from the 3D scan data, such as circumference, length, and height.…”

“…47,[51][52][53] In the apparel field, 3D scanning technology is an indispensable technology for future development of the digital fashion industry and, as such, there is active research on 3D scan data use. 47,[53][54][55][56][57] Although prior studies in the clothing and textiles field have used 3D body scan technology to classify body types or make clothing patterns, most only extracted 2D information from the 3D scan data, such as circumference, length, and height. 31,32,42,58 The initial human body scan data obtained from a 3D full-body scanner comprise numerous point group data with 3D coordinates.…”

“…59,60 Accordingly, research is needed on how to extract 3D information from such numerous 3D point groups and effectively use them in the clothing studies field. 53,60,61 Cho 62 explained some important considerations. Firstly, because the initial scan data from a 3D full-body scanner contain coordinate data based on different origins, pre-processing is required to use a single origin before it can be used in research.…”

A body measurements and sensory evaluation-based classification of lower body shapes for developing customized pants design

“…In classification criteria are often rough and the fitting level to a specific body shape is not high enough. In addition, the existing body classifications are mainly realized by using classical statistical methods [4][5][6][7][8][9]. However, in garment design, designers usually describe body shapes using linguistic terms such as fat or thin, tall or short, etc.…”