E3S Web Conf.
Volume 237, 20213rd International Symposium on Architecture Research Frontiers and Ecological Environment (ARFEE 2020)
|Number of page(s)||5|
|Section||Environmental Protection and Environmental Engineering|
|Published online||09 February 2021|
Structural feature factors extraction of upper body shape for young female
Wuhan textile university, Wuhan, Hubei 430073, China
* Corresponding author: firstname.lastname@example.org
Human body shape feature points are the key information and basic unit for human body model we are constructing, which performance the difference of body shapes. The purpose of the study is to extract the structural feature factors related to the upper body surface feature points for young females. The 12 feature points of upper body surface were manually confirmed from anthropometric expertise. A total of 31 measurements items, including 3 body surface measurement and 28 photo measurement, were collected for 33 females college students According to the results of correlation analysis, the feature variables of the width, thickness and height dimension based on 12 feature points significantly respectively correlated to the variables of their coordinate orientation, furthermore, the correlated relationship which reflected the width and height features of neck and shoulders shape mainly affected by local skeletal structures. Then, four principle component factors account for upper body shapes of young females, such as width, thickness, height and shoulder shape with characteristic value all over 1, were extracted by the principal component analysis, and the cumulative contribution rate reached 87.387%. Therefore, a total of 8 feature variables sifted from each principle component factor with a loading coefficient over 0.7 as fundamental typical indicators represent the three-dimensional characteristics of body surface feature points reflecting the divergence of body shapes, and it is useful structural information for individual human body modelling.
© The Authors, published by EDP Sciences, 2021
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