Female Body Shape Classifications and Their Significant Impact on Fabric Utilization 


Vol. 19,  No. 12, pp. 2642-2656, Dec.  2018
10.1007/s12221-018-8258-0


PDF
  Abstract

In apparel manufacturing, more than 50 % cost is consumed by the textile fabric. Therefore companies have significant apprehensions in the fabric utilization. It can result in more efficient and cost-effective in fabric utilization if they are related to different body shapes. The purpose of this study is to classify female body shapes and evaluate fabric utilization efficiency for each category of the body shape. To this end, three dimensional (3D) body scans are collected from 124 young female subjects. For the body shape analysis, 3D body scans are processed by using Moore neighbor algorithm and region prop function to perceive the outermost shell. Moreover, both front and side view of the scans is processed for data reduction using Principle Component Analysis (PCA) and clustering using K-Means ++. It has been observed through our analysis of a dataset that female bodies can be categorized into four body shapes, that is, oval shape, circle shape, triangle shape, and rectangle shape. It has also been observed that all four body shape categories exhibit dissimilar anthropometric size measures. The result implies that these body shapes have devoured different fabric utilization for the garments (fitted trouser and fitted shirt). It has been noted that in fitted trouser and fitted shirt the most effective is the rectangle shape (cluster 4) and the least is the circle shape (cluster 2) in the fabric consumption. Similarly, the fitted trousers utilize less fabric while the fitted shirts consume more fabric in all body shapes. These findings provide a better reference of fabric utilization and cost-effectiveness to the apparel manufacturers while producing garments for different categories of the body shape.

  Statistics
Cumulative Counts from November, 2022
Multiple requests among the same browser session are counted as one view. If you mouse over a chart, the values of data points will be shown.


  Cite this article

[IEEE Style]

T. Naveed, Y. Zhong, A. Hussain, A. A. Babar, A. Naeem, A. Iqbal, S. Saleemi, "Female Body Shape Classifications and Their Significant Impact on Fabric Utilization," Fibers and Polymers, vol. 19, no. 12, pp. 2642-2656, 2018. DOI: 10.1007/s12221-018-8258-0.

[ACM Style]

T. Naveed, Y. Zhong, A. Hussain, A. A. Babar, A. Naeem, A. Iqbal, and S. Saleemi. 2018. Female Body Shape Classifications and Their Significant Impact on Fabric Utilization. Fibers and Polymers, 19, 12, (2018), 2642-2656. DOI: 10.1007/s12221-018-8258-0.

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)

pISSN : 1229 - 9197
eISSN : 1875 - 0052

Impact Factor(2022): 2.5