3D Anthropometric Analysis of Women’s Aging Bodies: Upper Body Shape and Posture Changes

Song, Hwa Kyung; Baytar, Fatma; Ashdown, Susan P.; Kim, Sung Min

doi:10.1080/17569370.2021.1879463

Cited by 12 publications

(8 citation statements)

References 17 publications

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“…The researchers found three lower BSs among 2,488 young female participants, straight, tilted and curvy (Song and Ashdown, 2011). Song et al (2021) recently categorized four upper body shapes using 3D body scan data among a total of 423 females (ages between 40 and 69) in the United States. The researchers followed the same procedures of body shape categorization that were used in the previous study (Song and Ashdown, 2011), which included PCA and cluster analysis.…”

Section: Literature Review Overweight Obese and Fat Distributionmentioning

confidence: 99%

“…The researchers followed the same procedures of body shape categorization that were used in the previous study (Song and Ashdown, 2011), which included PCA and cluster analysis. There were eight factors that determined the aged females' upper body shapes: acromial inclination, upper body slope, neck inclination, waist depth, shoulder angle, overall body length, upper back curvature and back protrusion height (Song et al, 2021). Daniell et al (2014) also used 3D body scans (i.e.…”

Section: Literature Review Overweight Obese and Fat Distributionmentioning

confidence: 99%

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Body shapes and apparel fit for overweight and obese women in the US: the implications of current sizing system

Shin

Saeidi

2021

JFMM

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PurposeThe purpose of this study was to categorize the whole body shapes of overweight and obese females in the US and examine apparel fit based on the current ASTM sizing standards related to the body shapes categorized.Design/methodology/approachBody scan data from 2,672 subjects were used. To categorize their whole body shapes using 97 body measurements, principal component analysis with varimax rotation, a hierarchical cluster analysis and K-means cluster analysis were used. To compare the ASTM sizing standards for plus sizes (curvy and straight) and missy sizes (curvy and straight), five body parts (bust, under bust, waist, top hip, hip) using the formula for fit tolerance (measurement plus half of the interval) were compared with the ASTM sizing standards to determine the size appropriate for each body part.FindingsFive whole body shapes among overweight and obese females in the US were categorized: Rectangle-curvy; parallelogram-moderately curvy; parallelogram-hip tilt; inverted trapezoid-moderately curvy and inverted trapezoid-hip tilt. When the body measurements in each body shape were compared with the current ASTM sizing systems for both misses and plus sizes, four-fifths or more of overweight and obese female adults in the US would find it difficult to obtain a perfect fit for both tops and bottoms.Originality/valueIdentifying whole body shapes among overweight and obese women in the US contributes significantly, as it will help apparel companies that target the markets of larger women develop a new sizing system. This study is the first attempt to analyze fit by comparing the ASTM sizing charts with body measurements in each body shape group. Further, the study contributes to the body-related literature by filling gaps in missing whole BS categories among overweight and obese females.

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Section: Literature Review Overweight Obese and Fat Distributionmentioning

confidence: 99%

Section: Literature Review Overweight Obese and Fat Distributionmentioning

confidence: 99%

Body shapes and apparel fit for overweight and obese women in the US: the implications of current sizing system

Shin

Saeidi

2021

JFMM

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“…The shape of the female upper body is very complicated because of its complex regions including neck anteversion, shoulder slope and the convex of the back, bust and hip (Song et al. , 2022).…”

Section: Introductionmentioning

confidence: 99%

Quantifying shape similarity of female upper body silhouettes based on 2D images

Xu,

Zhao,

Zhang

et al. 2023

IJCST

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PurposeThis study focused on how to quantify the similarities of body shape based on the front and side images, and a shape comprehensive index (ISC) of female upper body shape based on 2D images was proposed.Design/methodology/approachIn total, 190 young women were shot for front and side images, and 18 shape parameters were automatically extracted, including seven angles and 11 ratio parameters. The coefficient of variation method was used to assign different weights for related parameters, and the ISC was calculated to describe the body shape of each subject. Five cross-sectional curves of the upper body (e.g. shoulder, chest, waist, abdomen and hip) were selected for exploring the range of shape similarity.FindingsAccording to the value of ISC, if the difference among the subjects is within the range of ±0.02, their body shapes can be regarded as similar, and the subject with the minimum distance is considered as the most similar. Error results show that the error range of the angle parameter is from 0.2° to 3.6° and the ratio range is from 0.001 to 0.119. Moreover, the t-test value among the parameters of the similar body is above 0.05, indicating that there is no significant difference for the upper body shape of the similar groups.Originality/valueThis method can quantify body shapes with the upper body characteristics of young women instead of subjective judgment. The study can be extended to other parts of the body and can also provide a new thought for shape similarity retrieval based on 2D images.

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“…A woman's body shape changes with age. The main changes in body shape due to aging include the descent of the breasts, tension in the abdomen, descent of the hips, increase in fat from the waist to the pelvis, and loss of waist de nition (Song et al, 2022) (Wren et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Research on complementary underwear

Yishida¹,

Kamiura²,

Horiuchi³

2022

Preprint

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PurposeThe main changes in women's body shape due to aging include the descent of the breasts, tension in the abdomen, descent of the hips, increase in fat from the waist to the pelvis, and loss of waist definition. We adopted a system in which skilled body fitters correctly fitted subjects with underwear of different functions made based on the corrective underwear step system. Design/methodology/approachThis study was designed to use a three-dimensional (3D) body scanner to examine (1) the effects of aging and other factors on body shape changes, and (2) the status of the effect of moving and fixing fat flowing to the axillae and back to improve body shape.FindingsThe results of the 8-month study have suggested that the system affected changes in the body shape, especially in the breasts. OriginalityBy using this method, not only the body line can be expected to improve.

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3D Anthropometric Analysis of Women’s Aging Bodies: Upper Body Shape and Posture Changes

Cited by 12 publications

References 17 publications

Body shapes and apparel fit for overweight and obese women in the US: the implications of current sizing system

Body shapes and apparel fit for overweight and obese women in the US: the implications of current sizing system

Quantifying shape similarity of female upper body silhouettes based on 2D images

Research on complementary underwear

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