Analysis of segmented elderly women’s lower bodies using 3D-LOOK scan data and virtual representation
| Autor: | Kuengmi Choi, Sunmi Park |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Polymers and Plastics
Scale (ratio) Computer science business.industry 05 social sciences Virtual representation Aging society Assessment scale Clothing Data science Lower body 0502 economics and business Chemical Engineering (miscellaneous) 050211 marketing 0501 psychology and cognitive sciences business 050107 human factors |
| Zdroj: | Textile Research Journal. 91:2738-2756 |
| ISSN: | 1746-7748 0040-5175 |
| DOI: | 10.1177/00405175211019487 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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