Abstract
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.
Highlights
In recent years, three-dimensional anthropometry has gradually become an important tool to obtain human body data [1], providing necessary conditions for the study of human body shape
In order to explore the body shape differences of various human bodies, Yong L C focused on the side contour of human body, put forward to use the side angle to represent the body shape characteristics of human body, and used the mathematical statistics method to divide the side shape into four categories [3]; Yang Y C introduced the body volume index (TVI), and divided the human body into four types: X, H, A and V [4]
Gu L proposed the method of body shape classification by parts based on the difference of body shape of cross-section curve, using the ratio index of characteristic point data [9]
Summary
Three-dimensional anthropometry has gradually become an important tool to obtain human body data [1], providing necessary conditions for the study of human body shape. The body shape analysis of shoulder, neck, chest, hip[5][6] and other local features has always been the focus of research. Gu L proposed the method of body shape classification by parts (chest, waist, hip) based on the difference of body shape of cross-section curve, using the ratio index of characteristic point data [9]. This paper focused on the differences of the shape characteristics of the shoulder cross-section curves to subdivide the young males’ shoulder shapes. With the help of three-dimensional anthropometry, reverse engineering software and MATLAB software, the ratio of sagittal to frontal diameter of shoulder section and curvature radius of curve feature points were extracted, and a method of subdivision of young males’ shoulder shapes based on the shape indices of section curve is established
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