E3S Web Conf.
Volume 237, 20213rd International Symposium on Architecture Research Frontiers and Ecological Environment (ARFEE 2020)
|Number of page(s)||5|
|Section||Energy Conservation and Emission Reduction, Energy Science|
|Published online||09 February 2021|
Classification of young males’ shoulder shapes based on cross-sectional morphological characteristics
Faculty of Clothing and Design, Minjiang University, Fuzhou, Fujian, 350108, China
2 Fujian Province University Engineering Research Center of Textile and Clothing, Minjiang University, Fuzhou, Fujian, 350108, China
3 Fujian Clothing Industry Technology Development Base, Fuzhou, Fujian, 350108, China
This paper focused on the different characteristics of the shoulder cross-section curves closely related to the shape to subdivide the shoulder shapes. In this paper, 213 young college male students aged 18-26 were selected to measure the shoulder data with three-dimensional body scanner. With the help of imageware12.0 and matlabr2012b software, the cross-section curves which could be used to classify the shoulder shapes were extracted, and the method of subdividing the shoulder shapes with the curvature radius of the characteristic points of the cross-section curve and the ratio of sagittal to frontal diameter was established. K-means clustering method was used through dynamic clustering, the optimal classification number of shoulder shapes was determined to be 4 categories by variance analysis, and the shape differences of each shoulder shape were quantified; by comparing the curve shape of shoulder section, the curve change characteristics of 4 categories of shoulder section were further qualitatively described.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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