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Female Body Shape Classifications and Their Significant Impact on Fabric Utilization

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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.

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Authors and Affiliations

  1. College of Textiles, Donghua University, Shanghai, 201620, China

    T. Naveed, Y. Zhong, A. Hussain & S. Saleemi

  2. School of Fine Arts, Design and Architecture, GIFT University, Gujranwala, 52250, Pakistan

    T. Naveed

  3. Key Lab of Textile Science and Technology, Ministry of Education, Shanghai, 201620, China

    Y. Zhong

  4. State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai, 201620, China

    A. A. Babar

  5. Key Laboratory of Eco-textiles, Jiangnan University, Wuxi, 214122, China

    A. Naeem

  6. College of Computer Science, Donghua University, Shanghai, 201620, China

    A. Iqbal

  7. Department of Textile Engineering and Technology, University of the Punjab, Lahore, 54590, Pakistan

    S. Saleemi

Authors
  1. T. Naveed
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  2. Y. Zhong
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  3. A. Hussain
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  4. A. A. Babar
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  5. A. Naeem
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  6. A. Iqbal
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  7. S. Saleemi
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Corresponding author

Correspondence to Y. Zhong.

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Naveed, T., Zhong, Y., Hussain, A. et al. Female Body Shape Classifications and Their Significant Impact on Fabric Utilization. Fibers Polym 19, 2642–2656 (2018). https://doi.org/10.1007/s12221-018-8258-0

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  • DOI: https://doi.org/10.1007/s12221-018-8258-0

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