Abstract

The objectives of this study are to identify the principal components that represent distinctive shapes from the silhouette and profile views of the lower body shapes of abdominal obese Korean men and to categorize their body types. Using 3D scans of 625 men aged 35–64 in the 6th SizeKorea dataset, 173 scans (27.7%) of men in ‘abdominal obese’ category (BMI value of 25, waist girth to height ratio of 0.53, and waist girth to hip girth ratio of 0.9 or higher) were utilized. We developed a script to measure 38 items such as front/back crotch length and front/back depths and angles using the SNU-BM program, which is a script-based automated 3D body scan measurement software. The measurements used for principal component (PC) analysis were 31 drops, 2 heights, 2 lengths and 4 angles. Ten PCs representing distinctive silhouettes and profiles of lower body shapes were extracted. The PCs were interpreted as follows: abdomen prominence, thigh to knee profile, upper buttocks prominence, waist to hip drop, thigh to knee silhouette, lower body tilt angle, waist to crotch length, vertical height, abdomen to crotch height, and lower buttocks slope. The three body shape groups were categorized using a K means cluster analysis with ten PC scores. Group 1 had a flat abdomen but prominent buttocks. Group 2 had a developed abdomen and buttocks with vertical thighs. Group 3 had drooped buttocks with tilted thighs.

Highlights

  • Clothing fit is an important element that enhances wearing satisfaction

  • In the field of apparel studies, studies related to body shape analysis have been actively conducted, male body shape studies are insufficient as compared to female body shape studies and are limited to average body shapes

  • In order to obtain these new types of measurements, we focused on a script-based versatile 3D body measurement system, SNU-BM (Kim and Kim 2018), which was developed based on a script language C++ compiler system

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Summary

Introduction

Clothing fit is an important element that enhances wearing satisfaction. It is important to understand the characteristics of consumers’ body shapes and develop patterns suitable for diverse types. In the field of apparel studies, studies related to body shape analysis have been actively conducted, male body shape studies are insufficient as compared to female body shape studies and are limited to average body shapes. Most ready-to-wear companies design clothing for consumers of average body shape and weight (Faust and Carrier 2010). Sizes other than those representing average shape and weight represent a significant percentage of the population (O’Connell 2019).

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