[1]杨 天,宁艳群,杨秀月,等.胸围截面轮廓点获取方法优化[J].服装学报,2019,4(01):13-17.
　YANG Tian,NING Yanqun,YANG Xiuyue,et al.Optimization of the Bust Section Contour Point Acquisition Method YANG Tian1, NING Yanqun1, YANG Xiuyue2, SHANG Xiaomei*1[J].Journal of Clothing Research,2019,4(01):13-17.
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胸围截面轮廓点获取方法优化()
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《服装学报》[ISSN:2096-1928/CN:32-1864/TS]

卷:
第4卷
期数:
2019年01期
页码:
13-17
栏目:
服装人体工学
出版日期:
2019-02-28

文章信息/Info

Title:
Optimization of the Bust Section Contour Point Acquisition Method YANG Tian1, NING Yanqun1, YANG Xiuyue2, SHANG Xiaomei*1
作者:
杨 天1;  宁艳群1;  杨秀月2;  尚笑梅*1
1.苏州大学 纺织与服装工程学院,江苏 苏州 215021; 2.上海纺织集团检测标准有限公司,上海 200336
Author(s):
YANG Tian1;  NING Yanqun1;  YANG Xiuyue2;  SHANG Xiaomei*1
1.College of Textile and Garment Engineering,Soochow University, Suzhou 215021,China; 2. Shanghai Textile Grop Testing Standard Co.,Ltd.,Shanghai 200336,China
分类号:
TS 941.17
文献标志码:
A
摘要:
为更好地表达胸立体尺寸,建立胸围通用测量法与轮廓点依次测量法的转换模型,以胸围截面轮廓点的获取方法为主要研究对象,分别采用“胸围轮廓点一次测量法”和“胸围轮廓点依次测量法”获取胸围尺寸数据,通过Excel软件分析两种方法的测量精确度、稳定性和实际可操作性; 通过SPSS软件分析两组数据间的差异性和相关性,建立转换模型,并对模型进行验证。结果显示:①方法2得到的数据组离散程度较小,较方法1稳定,但实际可操作性弱于方法1; ②方法1和方法2得到的数据组间具有显著相关性且存在极显著差异; ③对方法1和方法2建立回归模型,经验证确定最优回归模型为y=-91.424+3.101x-0.012x22。
Abstract:
In order to better express the chest 3D size, this paper established the conversion model between bust universal measurement method and the contour point of the measurement method.The method of obtaining the outline of the bust section was taken as the main research object.The bust size data were obtained by two measurement methods: "bust contour point measurement" and "bust contour point measurement method".The accuracy, stability and practical operabi-lity of the two methods were analyzed by Excel software.The variability and correlation between the two sets of data were analyzed by SPSS software. And the conversion model was established and validated. The results showed that: ①the data group obtained by the method 2 had a small dispersion and the data was more stable than the method 1. But its actual operability was weaker than the method 1. ②There was a significant correlation between the data sets obtained by methods 1 and 2. And the difference was significantly obvious. ③The regression model was established for the method 1 and method 2, and the optimal regression model was y=-91.424+3.101x-0.012x2.

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(责任编辑:卢 杰,邢宝妹)

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更新日期/Last Update: 2019-02-27