scholarly journals Impacts of female body shapes on patternmaking

2019 ◽  
Vol 69 (06) ◽  
pp. 519-523
Author(s):  
ÜNAL NEZLA ◽  
UTKUN EMINE

Clothing fit is one of the most important factors that affect consumers’ purchasing behaviour and body movement comfort. This study aims to examine the effects of different female body shapes on clothing pattern design. For this purpose, body measurements of 231 women aged between 18 and 25 were taken and classified according to body shapes and sizes. Then the impacts of body shapes were investigated on basic dress pattern drawing with standard dart prepared in Müller&Sohn patternmaking system. Darted basic dress patterns of women who had a body size of 36 and piled up in pear and rectangle body shapes were adjusted, and these adjustments were compared. While pattern adjustments were carried out according to the rectangle and pear body shape, necessary changes were made on the full height, the girths of breasts, waist, hip and front, back and front average length measurements.

Electronics ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 97
Author(s):  
Kamrul H. Foysal ◽  
Hyo Jung Chang ◽  
Francine Bruess ◽  
Jo Woon Chong

The apparel e-commerce industry is growing day by day. In recent times, consumers are particularly interested in an easy and time-saving way of online apparel shopping. In addition, the COVID-19 pandemic has generated more need for an effective and convenient online shopping solution for consumers. However, online shopping, particularly online apparel shopping, has several challenges for consumers. These issues include sizing, fit, return, and cost concerns. Especially, the fit issue is one of the cardinal factors causing hesitance and drawback in online apparel purchases. The conventional method of clothing fit detection based on body shapes relies upon manual body measurements. Since no convenient and easy-to-use method has been proposed for body shape detection, we propose an interactive smartphone application, “SmartFit”, that will provide the optimal fitting clothing recommendation to the consumer by detecting their body shape. This optimal recommendation is provided by using image processing and machine learning that are solely dependent on smartphone images. Our preliminary assessment of the developed model shows an accuracy of 87.50% for body shape detection, producing a promising solution to the fit detection problem persisting in the digital apparel market.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Eonyou Shin ◽  
Elahe Saeidi

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.


2019 ◽  
Vol 35 (4) ◽  
pp. 399-408
Author(s):  
Biljana Rogic ◽  
Bozo Vazic ◽  
Ivica Ravic

The aim of this work was a phenotypic description of the mare families of a Lipizzan horse breed from stud Vucijak. A total of 31 mares were measured, for every animal 28 measures were recorded. The mares are distributed by mare families in the following: Sana (3), Lipa (3), Bregava (3), Cremica (3), Ukrina (3), Visla (2), Neretva (3), Pliva (1), Drina (2), Sutjeska (2), Sitnica (1), Janja (2) and Sava. Simple analysis of variance was done to determine the difference in the morphological measures between mare families. Also, correlation between 28 measures was done. This study revealed phenotypic uniformity between mare families. Of the 28 measures recorded, a statistically significant difference was identified only for the length of cannon (front leg). The longest average length of the cannon (front leg) had at Sana (24.67 cm), and the shortest at Bregava (19.00 cm). The correlation ranged from slightly negative to highly positive with correlation coefficients from -0.465 to 0.779. Significant and highly significant correlation with height, length and depth was found in mare measures. The body shape of the mare families has a rectangular, which is in accordance with the Lipizzan horses from other stud in Europe. Also, the study revealed that mares from Vucijak are smaller than mares from other stud, which is in accordance with the breeding goals.


2016 ◽  
Vol 87 (6) ◽  
pp. 669-681 ◽  
Author(s):  
Bingfei Gu ◽  
Guolian Liu ◽  
Bugao Xu

The goal of this study was to develop an approach that could automatically generate the customized patterns for women’s suits based on the body measurements taken from two-dimensional (2D) frontal and side images of a subject. The 26 important pattern dimensions relevant to certain body dimensions were first chosen, and the mapping relationships between the body and pattern dimensions were then established for pattern alterations. For the body dimensions (e.g. girths) that could not be directly measured in the 2D images, prediction models were created based on the available width and depth measurements. The body measurements from the 2D images (auto-measurements) of 295 subjects were compared with the corresponding manual measurements, which showed a good correlation between the auto and manual measurements. The try-on test of five suits made with the altered patterns demonstrated the good fitting effects of the customized suits at important characteristic landmarks of five participating subjects through a visual evaluation. The subjective test also showed a satisfactory result of clothing fit under five different postures. Since this pattern-making method is originated from the relationship between the features of a human body and the elements of a pattern prototype, the generated patterns are individualized by unique body shapes to attain a good fit. This method can also accelerate the pattern-making process, reducing human efforts, costs, and production time.


2018 ◽  
Vol 26 (2(128)) ◽  
pp. 104-107
Author(s):  
Emine Utkun ◽  
Erkan Yeşil ◽  
Nezla Ünal

Clothing fit is one of the important factors affecting consumers’ purchasing behaviour and clothing satisfaction. The aim of this study was to develop a mobile-based body size calculator program to compare standard mass production body measurements with female body measurements taken individually. Another aim of the study was to investigate the effects of size difference between the body measurements taken individually and mass productionbased measurements on pattern drafting. At the end of the study, the program developed was run, the differences between the patterns examined and pattern modifications made according to the results obtained.


2011 ◽  
Vol 331 ◽  
pp. 654-657
Author(s):  
Xin Lu

The special body shapes of women, such as convex belly and convex hip are chosen to sum up its body shape change law and set up the relationship between variable of four types of body shapes and pattern figure to complete the initial research of body feature corresponding to the digitalization of women’s trousers pattern in this paper. This is the basic research directing at women’s trousers pattern auto-design system of special body shape, setting up the correlative relationship between women’ body shape feature and structure feature of trousers to guarantee the consistency between body shape and pattern design in the process of garment PCAD system intelligent design, which provides the possibility for the research of intelligent women’s trousers pattern design system based on the body shape and plays a positive role in changing the traditional pattern design concept and design means.


1998 ◽  
Vol 87 (2) ◽  
pp. 395-403 ◽  
Author(s):  
Weiyun Chen ◽  
Ricky L. Swalm

This study examined the differences in the measures of perception of body shape and body affect among Chinese and American college male and female students. 289 Chinese students in China and 180 American students in the United States voluntarily completed the Body-image Questionnaire, comprised of four categories: (a) anthropometric data, (b) self-perception of body shape, (c) body affect, and (d) desired body shape. American students were significantly more likely than Chinese students to perceive their body shapes as being larger, but both Chinese and American students tended to perceive their body shapes accurately. For body affect, both Chinese and American female students who perceived themselves as thin had positive feelings about their bodies, while both groups of female students who perceived themselves as heavy had negative feelings about their bodies. American women were more likely than Chinese women to have negative feelings about their bodies. American students also placed high value on muscular firmness as part of their ideal female body shape, while Chinese students added plumpness as another component for judging ideal female body shape. Both Chinese and American men valued physical strength as a major component for body satisfaction.


2017 ◽  
Vol 17 (3) ◽  
pp. 277-286 ◽  
Author(s):  
Chinami Fujii ◽  
Masayuki Takatera ◽  
KyoungOk Kim

AbstractWe investigated the effects of the combinations of patternmaking methods and dress forms on the appearance of a garment. Six upper garments were made using three patternmaking methods used in France, Italy, and Japan, and two dress forms made in Japan and France. The patterns and the appearances of the garments were compared using geometrical measurements. Sensory evaluations of the differences in garment appearance and fit on each dress form were also carried out. In the patterns, the positions of bust and waist darts were different. The waist dart length, bust dart length, and positions of the bust top were different depending on the patternmaking method, even when the same dress form was used. This was a result of differences in the measurements used and the calculation methods employed for other dimensions. This was because the ideal body shape was different for each patternmaking method. Even for garments produced for the same dress form, the appearances of the shoulder, bust, and waist from the front, side, and back views were different depending on the patternmaking method. As a result of the sensory evaluation, it was also found that the bust and waist shapes of the garments were different depending on the combination of patternmaking method and dress form. Therefore, to obtain a garment with better appearance, it is necessary to understand the effects of the combinations of patternmaking methods and body shapes.


Sex Roles ◽  
1990 ◽  
Vol 22-22 (11-12) ◽  
pp. 743-754 ◽  
Author(s):  
Adrian Furnham ◽  
Catherine Hester ◽  
Catherine Weir

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