• Fashion & Textile Research Journal
• /
• v.26 no.1
• /
• pp.35-43
• /
• 2024

This study aimed to objectively classify the lateral torso posture types and functions of older women. We used 3D body scan data of 119 women aged 70-85 years from the 6th SizeKorea project. First, we defined three torso axes to represent the lateral torso posture types: posterior waist-back, back-cervical, and whole torso axes. Next, we asked experts to select one of four lateral torso posture types-stooped, straight, leaning back, and swayback postures-by looking at the lateral photographic data of 119 older women. To identify the axis that best represented each lateral torso posture type, a discriminant analysis was conducted using the angle of each of the three torso axes as an independent variable and an expert's visual classification as a dependent variable. Based on the analysis, the whole torso and backcervical axis angles were selected as variables for judging lateral torso posture types. Subsequently, we developed a classification function to determine which of the four lateral torso posture types of a particular participant was applicable for a new individual. The method developed in this study is significant in that it enables the objective classification of the lateral torso postures types of older women.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.47 no.1
• /
• pp.17-34
• /
• 2023

This study aimed to develop a fitted torso pattern with an improved fit for inverted-triangular males in their twenties. For this study, six torso patterns were collected, compared and evaluated, and a fitted torso pattern was developed using virtual fittings. The research results are as follows. First, the fitted torso pattern received a good rating as a result of the virtual fitting evaluation: waist dart set 2 of the front; the amount of comfort is set at 5 cm around the chest, 4 cm around the waist and 10 cm around the hips. Second, the evaluation of virtual fitting of the development pattern showed that fit evaluation was 4.11/5 points, ease evaluation was 6.53/7 points, and that the stress map and airgap were suitable for the human body. Third, the actual fit evaluation of the development pattern was 4.25/5 points, 6.35/7 points for ease evaluation, and 4.81/5 points for motion evaluation. Fourth, there was no significant difference between the results of the virtual and actual fitting evaluation with the objectivity test. It is therefore possible to apply a pattern developed through a virtual fitting to an actual human body and to confirm the objectivity of the pattern.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.33 no.7
• /
• pp.1109-1120
• /
• 2009

This study develops a fitted torso type basic pattern for men by utilizing 3D body scan data. Recent fashion trends are reflected in the development of the pattern. The subjects were 15 men in their 20's, who wear size 95 (M size). Body scan data was obtained through a 3D whole body scanner (WB4, Cyberware, USA), and a body surface development figure for developing male fitted torso type basic pattern was attained through the use of Rapid Form 2006 as well as Auto CAD 2006 programs. The results are as follows: A body surface development figure through body surface segment method showed high exactitude in an error range of 100$\pm$1%. In addition, it occurred in an error range of 100:1:3% because of the hard scanning conditions in the incline of the shoulder and armpit areas. However, the body surface development figure as well as the direct measurement results can be used as basic data for the given patternmaking since the error range falls into 100$\pm$3%. Dart amounts obtained from the average cross section were center back 2.2cm (24.3%), back armpit point 3.8cm (41.8%), front armpit point 3.0cm (33.9%). As shown the jacket pattern, the biggest dart amount was portioned out at the back armpit point. The drafting equations for the development pattern acquired are as follows; Full width=C/2+5cm, back length=height/4-1cm, armhole depth=(C/10+12cm)+3cm, back width=2C/10+2cm, front width=2C/10. The development pattern was a fitted torso basic pattern that was composed of 3 pieces, so it would be very useful in developing shirt or jacket patterns. According to the results of the evaluation of the developed pattern appearance, it obtained higher scores of over 3.5 points in almost items, meaning that the developed pattern is appropriate for a male fitted torso type basic pattern. It suggests a possibility of patternmaking from a body surface development figure in 2-D to prototype.

• The Research Journal of the Costume Culture
• /
• v.30 no.5
• /
• pp.675-688
• /
• 2022

The purpose of this study is to analyze the body type characteristics of tall adult men aged 20 to 69 years to present base material on body dimensions for men's clothing companies. The research method comprised statistical analysis of 3D measurements after selecting items from the 8th Korean human body size survey related to the torso body types of 495 adult men who were at least 178cm tall. As a result, six factors were extracted, and the total explanatory variable of the entire factor was shown to be 80.499%. As a result of cluster analysis using this as an independent variable, three types were derived: Type 1, "a normal body type with an oval cross-sectional shape" (37.6%), with a larger vertical size and an oval chest cross-sectional shape compared to other types; Type 2: a "cylindrical thick body shape" (31.1%), which is the first stage of BMI obesity, with narrow shoulders and a cylindrical shape with a round cross-section; Type 3, "a body shape with broad shoulders and developed chest parts" (31.3%), with a horizontal size similar to Type 2 above the waist, but similar to Type 1 below. The results of this study are expected to be used as a basis for a clothing dimension system and clothing development for tall men reflecting the characteristics of the torso.

• Journal of the Korean Society of Costume
• /
• v.57 no.4 s.113
• /
• pp.9-17
• /
• 2007

Somatotype is human body shape and physique type which can be classified not only by the size, but also by the shape or posture of the body. Postural variations in the alignment of the back, shoulder, and neck can have an adverse effect on the fit of garments designed to hang from the shoulders. There have been some previous studies about the lateral upper torso by analyzing photographic measurements. In this study, 3D body scan images were used to classify the side somatotype of upper lateral method even though they are major data in the classification of upper torso. This study focused on following objective.; 1) To apply new and developing technology into the apparel industry analyzing 3D body scan images. 2) To classify upper laterla torso using the data through the new improver technology, 3D body scanner. 3) To propose basic materials for well fitted garments for each type of figure. The test subjects for this study were two hundreds nine female aged 19 years and up who were recruited in Cornell university body scan research team. Seventeen Variables(12 angles, 5 lengths) out of 3D body scan data were measured based on these landmarks and applied to analyze. The result of factor analysis indicated that 6 factors were extracted through factor analysis and orthogonal rotation by the method of Varimax and those factors comprise 62.5% of total variance. And the somatotype of upper body is classified into 3 types of figures according to cluster analysis; Bent forward posture, Straight posture, Swayback posture. Future study could be addressed about the somatotype of body by the age group based on the large database with wide variety of age.

• Journal of the Ergonomics Society of Korea
• /
• v.17 no.1
• /
• pp.103-114
• /
• 1998

This study was carried out on 132 obese women who satisfied both of the conditions for the obesity: over 1.6 in Rohrer index and over 90cm in bust girth. The purpose of the study was to classify the body types of the obese women and find out their respective characteristics. The characteristics of the body shape were as follows. The one was that the height of the front waist was higher than that of the back waist. The other was that the depth of the front abdomen was high, which implies the protruding of the abdominal region. Five factors were extracted as the result of the factor analysis. Body types were classified 4 types(type 1 : long upper torso, type 2 : obese torso, type 3 : short and less upper torso, type 4 : obese arms and legs) according to the cluster analysis.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.48 no.3
• /
• pp.528-542
• /
• 2024

The aim of this study was to analyze and typify the body shape of tall women aged 20-69 using 3D measurement data from the 2020 8^th Human Dimensions Survey data with greater than 165.0 cm in height defined as large stature. Each body type's characteristics were examined to derive points of differentiation compared to women of average body type. The analysis showed that as height increases, body height, length, and generally body circumference, thickness, and width also increase. However, taller women were found to have thinner waists, indicating a wider, flatter waist area. Waist circumference was also smaller, albeit not at a statistically significant level. Body shapes of adult women over 165.0 cm tall were classified into three types. The following body types were analyzed: thick ankles and drooping shoulders, thin and short torso, tall and long, long torso and thick ankles, large body circumference, thickness and width, normal torso length, and short stature and thin ankles. To develop garments for adult women over 165.0 cm tall, a new drafting method was required set the waist, knee height, and shoulder width.

• The Research Journal of the Costume Culture
• /
• v.25 no.4
• /
• pp.476-487
• /
• 2017

The purpose of this study was to suggest torso patterns that fit the three main body shapes of elderly obese women. To reduce time, costs, and also the trial and error needed to make patterns, the CLO program for 3D test wear was employed. Three virtual models for aged obese women were use, with the YUKA system used to produce torso patterns. 3D simulation of test wear and corrections was done to design optimal torso patterns. The results were as follows: First, for the three models of obese women's body shapes as realized by CLO 3D, Type 1 is lower-body obesity shapes, Type 2 is abdominal obesity shapes, and Type 3 is whole-body obesity shapes. Second, to design the study patterns, actual measurement values, back waist length and waist to hip length, were used. The armhole depth (B/4-1.5), front interscye (B/6+2.3), front neck width (B/12-0.5), front neck depth (B/12+0.5), front waist measurement (W/4+ 1.5+D), front hip measurement (H/4+2+0.5), and back hip measurement (H/4+3-0.5) were calculated using formulas. Third, according to the results of test-wearing the study patterns, reduced front neck width and depth improved the neck fit and reduced armhole depth bettered loose or plunging armhole girth and also reduced the sagging of bust c.. Also, tight sidesfrom aprotruded waist and abdomen improved with the increase of surpluses in the back waist and also back and front hip c. The exterior was enhanced by displacement of back and front darts, which distributed surpluses better.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.36 no.3
• /
• pp.311-323
• /
• 2012

This study establishes the initial data to develop a well-fitted underwear pattern by categorizing and analyzing torso types based on body measurements of women in their 50s and 60s. The results are as follows: First, the statistical assessment on the body measurements showed meaningful differences among age groups in twenty seven items (except for bust breadth, hip width armscye depth, hip depth, neck base circumference, armscye circumference, chest circumference, hip circumference, bishoulder length, shoulder length, front interscye, back interscye, weight and inclined angle of left shoulder). Women in their early 50s and late 60s (respectively) showed the highest values in height and depth. Second, there are five body factors according to the results of the factor analysis: Factor 1 (circumference, width, and depth of upper body measurements) - the degree of body depth and obesity, Factor 2 (height and vertical length) - The vertical torso length, Factor 3 - the size of shoulder, Factor 4 - the vertical upper body length, and Factor 5 - the size of shoulder angle. Third, the results of the cluster analysis showed that there are four distinctive body types. The largest number of the study subjects was related to Type 3 (30.69%), followed by Type 2 (26.78%), Type 1 (25.84%), and Type 4 (16.69%), respectively. For distribution of age groups by body type, Type 3 was the most common among the 60s group while Type 2 appeared most frequently among the 50s.

• Fashion & Textile Research Journal
• /
• v.16 no.2
• /
• pp.255-265
• /
• 2014

This study developed and proposed a pattern that can fit the body and compensate for the defects of the body type by applying shoulder princess line to the torso pattern and including formative characteristics of each object on the study of body shape's change in 40-59 year old middle aged women. The results of this study are as follows; First, according to the analysis of 'Size Korea 2010' such as average, standard deviation, minimum value, and maximum value of 48 items, women showed increase in most of the items except height as they became aged. Second, factor analysis was made to understand the shape component factors of middle aged women and to use them for the body type classification. Third, cluster analysis was made according to the shape of front and sides which should be considered in pattern production based on the factor analysis results, and the body type with the measurement values most similar to the average of direct measurement of 'Size Korea 2010' was set as standard. Fourth, in designing torso patterns through the $1^{st}$ and the $2^{nd}$ wearing experiments according to the body type, body shapes such as Chest Circumference, Waist Circumference, Hip Circumference, and Waist Back Length were considered in pattern design, goodness-of-fit was enhanced with difference in margin according to body type and different margins in front and back, and fitting satisfaction was improved by applying princess line.