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Categorization of lower body shapes of abdominal obese men using a script-based 3D body measurement software
Fashion and Textiles ( IF 2.4 ) Pub Date : 2020-02-05 , DOI: 10.1186/s40691-019-0199-8
Kyu Sun Lee , Hwa Kyung Song , Sungmin Kim

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.

中文翻译:

使用基于脚本的3D身体测量软件对腹部肥胖男性的下半身形状进行分类

这项研究的目的是从腹部肥胖的韩国男性下半身的轮廓和轮廓图中识别出代表独特形状的主要成分,并对他们的体型进行分类。使用6th SizeKorea数据集中的625位35-64岁男性的3D扫描,“腹部肥胖”类别(BMI值为25,腰围与身高比为0.53,腰围与臀围)的173次扫描(占27.7%)比率为0.9或更高)。我们开发了一个脚本,该脚本使用SNU-BM程序来测量38个项目,例如前/后c长度,前/后深度和角度,这是一个基于脚本的自动3D身体扫描测量软件。用于主成分(PC)分析的测量值为31滴,2个高度,2个长度和4个角度。提取了十台代表不同身材的轮廓和轮廓的PC。PC的解释如下:腹部突出,大腿至膝盖轮廓,上臀部突出,腰部至臀部下降,大腿至膝盖轮廓,下半身倾斜角度,腰部至c长度,垂直高度,腹部至c高度和下臀部坡。使用10个PC得分的K均值聚类分析对三个身体形状组进行分类。第一组腹部平坦,但臀部突出。第二组腹部发达,臀部大腿垂直。第三组臀部下垂,大腿倾斜。垂直高度,腹部至c部高度,臀部下坡。使用10个PC得分的K均值聚类分析对三个身体形状组进行分类。第一组腹部平坦,但臀部突出。第二组腹部发达,臀部大腿垂直。第三组臀部下垂,大腿倾斜。垂直高度,腹部至c部高度,臀部下坡。使用10个PC得分的K均值聚类分析对三个身体形状组进行分类。第一组腹部平坦,但臀部突出。第二组腹部发达,臀部大腿垂直。第三组臀部下垂,大腿倾斜。
更新日期:2020-02-05
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