Theatrical Pleasure and Lynn Nottage’s Intimate Apparel

2020 ◽  
pp. 171-177
Author(s):  
Joseph Candido
Keyword(s):  
Intimate Apparel

Female breast shape categorization based on analysis of CAESAR 3D body scan data

2018 ◽  
Vol 89 (4) ◽  
pp. 590-611 ◽  
Author(s):  
Jie Pei ◽  
Huiju Park ◽  
Susan P. Ashdown
Keyword(s):  
Goodness Of Fit ◽  
Misclassification Rate ◽  
Clustering Methods ◽  
Cluster Number ◽  
Female Breast ◽  
Multiple Data ◽  
Intimate Apparel ◽  
Breast Shape ◽  
Scan Data ◽  
Relative Measurements

In this study we explore the variation in female breast shape across the younger (age: 18–45), non-obese (BMI < 30) North American Caucasian population, a population that has not previously been well-represented in studies of breast shape. A method of classifying breast shape was developed based on multiple data-mining techniques. Forty-one relative measurements (i.e., ratios and angles) were constructed from 66 raw measurements (circumferences, depths, widths, etc.), extracted from 478 CAESAR (Civilian American and European Surface Anthropometry Resource) scans, using self-developed Matlab® programs. Seventy subjects were regarded as outliers and were removed. The remaining data were transformed and standardized to ensure robust analysis. To judge results, an algorithm was developed to visualize clustering outcomes in the form of side profiles of breasts. The results of three clustering methods, namely hierarchical, K-means, and K-medoids clustering, were compared. Finally, breast shapes were categorized into three and five groups by two different cluster number selection criteria proposed by the study: (1) based on misclassification rate; (2) based on the goodness-of-fit of the model. Several of the relative body measurements were identified to be critical in defining breast shape. The findings and the proposed methods of this study can contribute to the development of improved shape and sizing systems of bra products that work for both manufacturers and consumers. The new methodology developed in this study can also be applied to other types of intimate apparel products where an understanding of body shape plays a key role in body support, comfort, and fit.

scholarly journals Assessing the accumulated stickiness magnitude from fabric–skin friction: effect of wetness level of various fabrics

2018 ◽  
Vol 5 (8) ◽  
pp. 180860 ◽  
Author(s):  
Ka-Po Maggie Tang ◽  
Kam-Hong Chau ◽  
Chi-Wai Kan ◽  
Jin-tu Fan
Keyword(s):  
Growth Rate ◽  
Recovery Period ◽  
Skin Surface ◽  
Cotton Fabrics ◽  
Surface Geometry ◽  
Intimate Apparel ◽  
Fixed Stimulus ◽  
Skin Wetness ◽  
The Difference ◽  
The Relationship

Increasing skin wetness tends to increase fabric–skin adhesion and friction, resulting in wear discomfort or skin injuries. Here, the magnitude estimation approach was used to assess the stickiness sensation perceived in fabrics. Seven fabric types were wetted by putting onto wet ‘skin’ surface and dried for different durations to achieve different wetness levels, simulating wearing conditions during the recovery period after sweating. Results showed that the relationship between magnitude estimates of stickiness and amount of water present in fabric demonstrated a power function. The exponents and constant from power regression show the growth rate of stickiness sensation with moisture intensity and the perceived stickiness under fixed stimulus intensity, respectively. A novel parameter, accumulated stickiness magnitude (ASM), describing how much discomfort a wetted fabric offered throughout the drying period, was developed. Thin cotton fabrics (fabric W01 and W03), having higher saturation level after contacting with wetted skin surface, arouse stronger stickiness feeling and their ASM is remarkably higher. The difference in stickiness estimates is due to the difference in chemical composition and surface geometry. This study suggests us the way to predict perceived stickiness in fabrics with different wetness levels which is useful for applications like sportswear, intimate apparel or healthcare products.

Study on antibacterial and comfort performances of cotton fabric finished by chitosan-silver for intimate apparel

2016 ◽  
Vol 17 (9) ◽  
pp. 1384-1390 ◽  
Author(s):  
Yong-Mei Deng ◽  
Si-Fan Wang ◽  
Shang-Jun Wang
Keyword(s):  
Cotton Fabric ◽  
Intimate Apparel

Used intimate apparel collection programs: A game-theoretic analytical study

2018 ◽  
Vol 109 ◽  
pp. 44-62 ◽  
Author(s):  
Tsan-Ming Choi ◽  
Pui-Sze Chow ◽  
Chang Hwan Lee ◽  
Bin Shen
Keyword(s):  
Analytical Study ◽  
Intimate Apparel ◽  
Game Theoretic ◽  
Collection Programs
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