Classifying male upper lateral somatotypes using space vectors
International Journal of Clothing Science and Technology
ISSN: 0955-6222
Article publication date: 7 March 2016
Abstract
Purpose
The purpose of this paper is to develop a method for defining and categorizing upper lateral somatotypes for clothing size systems used for clothing pattern creation based on directional angles of 3D space vectors.
Design/methodology/approach
3D data for 317 men in their twenties obtained from the fifth Size Korea survey were used in this study. Standard landmarks and surfaces were set on the 3D shapes, and six space vector angles of the lateral form were defined and measured. Relationships among the measurement results were clarified, and the results were compared with those obtained using existing classifying methods.
Findings
The measurement of the defined directional angles indicated that the swayback type and bend-forward type had the two extreme values, and the straight type was between the two values. The analysis of the correlation between six directional angles indicated that some points in the lower area of the upper body had a high correlation with other points in the lower area.
Researchlimitations/implications
The subjects of this study were limited to lateral somatotypes, and there is a need for future studies that focus on frontal somatotypes. This research is confined to the upper lateral somatotypes of men in their twenties. Further study is needed to extend the results of this study to other body types such as those of elderly and overweight persons.
Practical implications
Major angle measurements quantified by the somatotypes can be specifically reflect in developing and revised to the right patterns which is spread body shell replica or individual pattern for MTM.
Social implications
This objective somatotype analysis method can be involved in determining individual body somatotype of ordermade clothes or can provided the accurate information interactively to MTM automatic customized pattern making system.
Originality/value
Accurate measurements of size, shape, and posture were applied and characterized to realize the process. Accuracy was improved compared to existing 2D analysis methods through three-dimensional analysis using directional space vector angles based on 3D forms.
Keywords
Acknowledgements
This work was supported by BK21 Plus project of the National Research Foundation of Korea Grant funded by the Korean Government.
Citation
Yoon, M.K., Nam, Y.J. and Kim, W. (2016), "Classifying male upper lateral somatotypes using space vectors", International Journal of Clothing Science and Technology, Vol. 28 No. 1, pp. 115-129. https://doi.org/10.1108/IJCST-03-2015-0043
Publisher
:Emerald Group Publishing Limited
Copyright © 2016, Emerald Group Publishing Limited