Abstract

This study aims to classify and analyze the body shapes of Vietnamese women aged 18 to 50 using 3D anthropometric data. Research data was collected from 480 females across three regions: North, Central, and South. The five body types result from data analysis involving principal component analysis, K-means cluster analysis, numerical discriminant analysis, ANOVA test, and T-test comparison using SPSS software. Group 1, accounting for 15.23 %, represents the “short, thin, small-shouldered” body type with medium hip height and a bust-waist ratio higher than the hip-waist ratio. Group 2, accounting for 18.36 %, can be described as the “tall, slightly fat and large-shoulders” body type, characterized by high stature and hip height, with a bust-waist ratio smaller than the hip-waist ratio. Group 3, accounting for 35.94 %, falls under the category of the "Medium body type", with an average height stature and a fit body, and a bust-waist ratio equal to the waist-to-hip ratio. Group 4, representing 21.88 %, has a low hip height, a bust-waist ratio higher than the hip-waist ratio, and can be called the “short, fat, medium-shoulder” body type. Finally, group 5, which comprises 8.59 %, embodies the “too fat, average height, big shoulders” body type, featuring low hip height, and a bust - waist ratio higher than the hip-waist ratio. The method of body classification in this study is scientifically sound and reliable. The new research results can serve as a reference for the garment industry while contributing to the goal of building a virtual model library within 3D design software.

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