A Study on the Lower Body Shape and Life Status of Elderly Women according to the Progress Group of Varus

Purpose – The purpose of this paper is to develop a virtual body that resembles the customer’s body shape using only the minimum information provided by the customer and without requiring individually scanned data. Design/methodology/approach – The target of this study includes the three-dimensional scanned data of 91 senior women aged 60 or older and human body measurement data of 268 people. The parametric virtual body was generated in three steps: a basic virtual body, a trans-shaped virtual body, and a trans-sized virtual body. Findings – Using organic relationships found in the body shape factors of the lower body, this study developed an algorithm to generate elderly women’s parametric virtual lower body that is quick and reproducible. Having tested the reproducibility of the algorithm, the parametric virtual body showed excellent reproducibility vis-à-vis the personal scanned data in both the shape acceptability and size acceptability. Originality/value – Because virtual bodies in this study are based on the results of body shape analysis related to apparel design, those resembling customer body shapes can be quickly and accurately generated. In addition, because body shape information for target groups is provided to the clothing manufacturers, it will likely contribute significantly to enhancing clothes fitting.

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Analysis of segmented elderly women’s lower bodies using 3D-LOOK scan data and virtual representation

Textile Research Journal ◽

10.1177/00405175211019487 ◽

2021 ◽

pp. 004051752110194

Author(s):

Sunmi Park ◽

Kuengmi Choi

Keyword(s):

Body Shape ◽

Elderly Women ◽

The Body ◽

Stepwise Discriminant Analysis ◽

Lower Body ◽

Shape Features ◽

Body Type ◽

Scan Data ◽

Body Shapes ◽

Garment Fit

To address the clothing needs of an aging society, this study developed a scale using three-dimensional (3D) scan data that determine elderly women’s lower body shapes to improve the way garments fit the elderly. Body type elements that play an important role in garment fit were identified and five body type elements were selected for use in this study. A stepwise discriminant analysis using 176 dimensions was performed to extract parameters reflecting body shape features, resulting in 37 parameters. A scale for determining body shapes was developed using the discriminant function equation. This study differs from existing studies on body shape classification in that we determined the diverse body shape features of individuals by extracting the lower body type elements related to garment fit. This study demonstrated an organic relationship among lower body types, where a greater posterior pelvic tilt was associated with a protruding lower abdomen, flat buttocks, and an o-type frontal leg shape. The significance of this study lies in the extraction of 3D parameters that reflect the body shape features of elderly women. Such 3D parameter data can be used to create personal virtual bodies in online shopping malls in the future.

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