Categorization of lower body shapes of abdominal obese men using a script-based 3D body measurement software, Fashion and Textiles

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.

Categorization of lower body shapes of abdominal obese men using a script-based 3D body measurement software, Fashion and Textiles

Categorization of lower body shapes of abdominal obese men using a script-based 3D body measurement software, Fashion and Textiles

Body Measurement Software: Who Benefits And How - 3DLOOK

Body shape and pants size as surrogate measures of obesity among males in epidemiologic studies - ScienceDirect

Feature extraction. (a) The 3D body shape and 11 segments. (b)

PDF) Categorization of lower body shapes for adult females based on multiple view analysis

Categorization of lower body shapes of abdominal obese men using a script-based 3D body measurement software, Fashion and Textiles

PDF) 3D Human Body Shape Estimation and Classification for Online Fashion

Sensors, Free Full-Text

Frontiers Strain Assessment of Deep Fascia of the Thigh During Leg Movement: An in situ Study

Cartoon Fundamentals: How to Draw the Female Form