我国西部地区青年男性体型描述与体型分类研究

 介绍了应用三维人体测量数据进行青年男性体型描述与体型分类的方法。应用三维人体测量仪测量了236名我国西部地区的青年男性人体数据,并在SPSS软件中对数据进行统计分析。结果显示,与二十几年前的人体测量数据相比,我国西部地区青年男性人体体型已经发生了很大变化,我国现行的服装号型标准中将体型分为4类的方法急需改进。通过因子分析和聚类分析最终将男性体型分为7类,分类结果较为理想。研究结果为了解我国青年男性体型现状和制订新的服装号型标准提供了理论支持。     

基于三维人体测量的青年女性臀部体型细分

如何实现准确的体型分析是满足消费者对服装合体性要求的关键问题。为提高服装臀部的合体性,本文着重探讨与人体臀部体型密切相关的截面曲线的变化,借助数理统计方法对女性臀部体型进行细分。以三维人体测量为基础,选择了300名年龄在20-24岁之间的在校女青年测量其臀部数据;对获取的28个臀部测量项目进行聚类分析,根据典型指标的算法,提取了能全面反映臀部特征信息的6个典型指标;依据典型指标,通过方差分析,将臀部体型细分为5类;通过对比臀部截面曲线特征,最终验证了5类臀部体型细分的合理性。     

东北地区青年女子体型分类与服装档差研究

我国服装号型体系中没有针对特定地区的体型细分研究,本文针对东北地区特定人群进行体型分类与档差研究。综合运用了三维扫描与手工测量两种方式,对465位东北地区18-25岁女青年进行人体测量,提取17个特征部位尺寸数据,通过因子分析,选取身高、胸围、腰围、臀围、颈椎点高、胸腰差、胸臀差7个特征参数,与GB/T 1335《服装号型》中成年女性进行比较,分析东北地区青年女子的基本体型特征。以胸腰差为依据对样本进行体型分类研究,对应国家号型标准,研究分析Y、A、B3种体型中间体特征,并根据回归方程计算得到3种体型的号型推档数值。     

基于青年女性躯干形态的服装号型标准分析

针对现如今消费者对服装合体性和个性化的需求,将青年女性躯干形态进行细分研究并与中国现有服装号型进行对比分析。通过采集209名18~25岁青年女性的人体尺寸信息,首先对采集的样本尺寸数据进行聚类分析,然后分析计算出各类体型身高与胸围、腰围的覆盖率,最后将聚类结果及国标分类结果与号型标准进行对比。结果表明:青年女性体型可分为I、H、S、O 4类,分别占样本总数的34.80%、28.92%、23.04%和13.24%;其中H、I体型中身高/胸围覆盖率最大的都为160/80,O体型身高/胸围覆盖率最大的是165/92,S体型身高/胸围覆盖率最大的是160/88;聚类中H、S体型与国标中A体型较接近,O体型与B体型较接近。该结论可以为服装企业合理配置号型提供参考。     

女体体型识别专家系统的设计与实现

为满足服装定制生产和销售的需求,设计并开发了基于三维测量数据的女体体型识别专家系统。通过设定从整体到局部11个体型特征的识别项目,对女体体型实现了模糊细分。系统知识库根据不同类型的领域知识,采用了相应的框架式或产生式知识表达方法。系统推理机制为向前推理模式,能模拟专家进行体型评价的过程。针对5种典型着装的合体性要求,快速、有效地完成相关特征部位形态识别,生成相应的服装标识,从而帮助消费者挑选合体的服装、辅助样板师进行个性化制板。     

女大学生体型分析及对服装推板的影响

为研究中国女大学生的体型分类与国标的差异,提高青年女子服装号型的覆盖率,随机选取了北京地区5所高校的1417位年龄在19~25岁之间的女大学生,采用三维扫描与手工测量结合的方法,提取关键部位的特征值,并与GB/T1335—2008《服装号型》中成年女性进行比较分析,对中国服装号型的分档提出建议。     

国家强制标准GB 5296．4新旧标准异同分析

依据国家强制性标准GB5296．4-1998《消费品使用说明纺织品和服装使用说明》和GB5296．4-2012《消费品使用说明第4部分：纺织品和服装》，对两个版本标准的各项条款进行了对比，分析了新旧版本的异同。     

改善我国服装号型标准的对策研究

随着人们生活水平的提高，我国服装号型的制定和长期实施中出现了各种问题，很有必要重新对我国人体体型变化和服装号型修订进行深入研究。本文在问卷调查的基础上总结了目前我国服装号型存在的主要问题，并有针对性的提出了相应对策，供服装号型修订参考。     

Construction of a prediction model for body dimensions used in garment pattern making based on anthropometric data learning

Using artificial intelligence to predict body dimensions rather than measuring them physically is a new research direction in apparel industry. If implemented, this technology can reduce costs and improve efficiency. In this paper, we proposed a back propagation artificial neural network (BP-ANN) model to predict pattern making-related body dimensions by inputting few key human body dimensions. In order to construct the proposed model, anthropometric measurements of 120 young females from the northeastern region of China were collected. The data were then used for training and the proposed model. The results showed that the prediction of the developed BP-ANN model is more accurate and stable than that of linear regression (LR) model. As great as the LR model was at pattern making, the BP-ANN model is even better. In the future, the precision of the proposed model can be further improved if the size of the learning data increases. The proposed method can be especially useful in making garment pattern for form-fitting clothing.     

Girth prediction of young female body using orthogonal silhouettes

Body girths are the primary dimensions needed for apparel patternmaking. Although 3D body scanning systems can provide direct girth measurements, their high price and complexity prevent widespread use in the apparel industry, especially in small-business operations. Regular 2D body images can be used to measure body widths, depths, and heights, but are not usable for direct girth measurements. In this study, we proposed a new approach to predict girths of young female body with a dedicated 2D body imaging system. In our 2D system, the frontal and side images of a subject were obtained to extract the orthogonal silhouettes, and the body widths and depths were measured at landmarks found from the silhouettes. We found that the measurements had more than 94% of the data in the error range of ±1 cm. Body girths were then predicted through the empirical equations built on the width and depth measurements. The prediction results were compared with those of the manual measurements, and examined in a perspective of apparel-manufacturing requirements. The girth prediction models established in this study were found to be effective, which could facilitate automatic girth measurements essential in apparel pattern alteration using 2D images.     

基于不同年龄女性体型差异的东华原型修正

东华原型是基于年轻女性测体数据建立的女装基础纸样.为进一步完善东华原型,扩大其适用范围,对华东地区310名18 ～40岁的女性进行了三维人体测量,根据年龄将被测者分为18～24岁、25～30岁、31～35岁以及36 ～40岁4组,并对4组人群23个部位的测体数据进行统计分析,经单因素方差分析揭示了不同年龄段女性体型的差...     

动态人体尺寸的测量方法

对于服装松量设计,正确测量人体运动中的尺寸并掌握其变化是非常重要的。目前传统的手工皮尺以及3D扫描方法都是基于静态下的人体测量而设计的,其并不适合于动态下的人体测量。为了探索和设计出一种合适的动态人体测量方法,本文基于动态人体分析系统而开展了相关研究。为验证这一方法,相应动态人体尺寸测量方法被设计,一系列的相关实验被开展,通过实验数据的检验、分析以及讨论,证明了基于动态人体分析系统的动态人体测量方法,能获得比较准确的动态人体尺寸数据,因此这种方法在动态人体测量方面,具有较好的实用性,对于服装松量和样板设计能提供有效支持。最后这种方法存在的不足以及需要改进之处也做了相应分析。     

Finite element modelling of Chinese male office workers’ necks using 3D body measurements

Recognizing the influence of occupational habits on human morphology, there has been a discernible increase in research taking anthropometric body measurements of a target population for the purpose of customized product development and production to meet different customer needs. This study aims to develop a 3D neck model for the Chinese young male office workers with a goal to provide a tool to maximize the ergonomic fit and comfort of the collar part of apparel products. A total of 200 male Chinese office workers meeting the sampling criteria were recruited for this study. Using factor analysis, the raw 3D measurements were reduced to a six-factor seven-measure model, capturing majority of the neck structure information. Based on these 7 neck measurements, the 200 subjects were classified through K means cluster analysis into 4 clusters. The cluster with largest number of subjects was chosen for the 3D neck model development. This 3D model includes three layers: the skin layer, the soft tissue layer and the skeleton layer. Comparing to 2D neck models, this three-layer 3D neck model provides a better and closer imitation of real human necks, permitting simulation and investigation of the pressure-deformation process that a neck experiences during wearing.     

用于服装业的照相人体测量方法研究

采用手工直接测量和照相间接测量相结合的方法量取120名中老年女性的主要体型指标,运用SPSS统计软件对测量的人体数据进行均值分析、相关分析和回归分析等,建立与服装相关的人体主要部位围度指标与宽度和厚度指标之间的回归方程,并验证回归方程的正确性。同时,依据照相人体测量法获得的主要体型指标均值描绘出正面和侧面的人体体型外轮廓图,为人台模型、合体服装造型和服装结构设计提供了参考依据。     

体型分析在观测服装号型适应性上的应用

针对当前国内外缺失观测特定人群的服装号型适应性这一现状,提出以体型分析为基础的服装号型适应性观测方法,通过捕获人体的三维数据,从数据集群中选择服装号型分类变量的主成分,带入我国服装号型标准中进行验证。依据多组K均值聚类分布结果,结合验证后的号型覆盖率和档差关系选取最优K值,观测聚类中心的数值和分布图,描述该样本的服装号型适应性。结果表明：测量对象的差异性对号型分类变量的选取有直接影响,该服装号型适应性观测方法能够得到观测对象的体型发展趋势、服装号型覆盖率和档差调整方案、具体的“号”与“型”对应关系,提高了服装市场调研和生产计划的准确性。     

细号高密服装用布的生产实践

为在喷气织机上顺利生产细号高密服装用布,分析了该类产品的织造难度系数,指出生产的关键工序是浆纱和织造.在浆纱工序要合理选择浆料配方和浆纱工艺,保证织轴质量;在织造工序要重点设置工艺参数,降低纬停,从而可使该类产品的合格率从85%提高到98%.     

基于纵向轮廓曲线的青年女性体型细分研究

提取了能用于青年女性体型分类的纵向轮廓曲线,包括矢状面和冠状面轮廓曲线。建立了用轮廓曲线特征点曲率半径进行青年女性体型分类的方法。在国标体型分类的基础上,进一步细分青年女性体型,从纵向轮廓曲线形态入手,分析曲线特征点曲率半径,应用K-means聚类算法进行动态聚类,将伪F统计量作为判别函数来确定最佳类数目,最终将纵向体型分为8类,量化区分了青年女性纵向体型差异,并提出一种新的体型标识：“国标体型+纵向体型”。     

Whole body scanning as a tool for clothing sizing: effects on women’s body satisfaction

Abstract

Whole-body scanning is increasingly used in the clothing industry, including in large-scale sizing surveys and virtual fitting. However, the impacts of 3D scanning on women’s body satisfaction are unclear as no previous studies have investigated impacts in a controlled experiment. This experiment investigated any causal effect of 3D whole-body scanning, as used in clothing applications, on women’s body satisfaction. Seventy women aged 18–35?years completed body image measures at baseline, immediately post-test, and two weeks later. At post-test relative to controls and controlling for baseline scores, women randomly allocated to the scanner condition scored significantly higher on Body Areas Satisfaction and significantly lower on Self-classified Weight, and positive effects persisted two weeks beyond the experimental session. Results suggest that whole-body scanning may improve women’s body satisfaction and reduce perceived overweight relative to controls, though further research is necessary to examine the reliability of this effect and underlying mechanisms.     

Preference Mapping of Soymilk with Different U.S. Consumers

This study determined and compared drivers of liking for unflavored soymilk with different U.S. consumer groups. A highly trained panel documented appearance, mouthfeel and flavor attributes of 26 commercial soymilks. Twelve representative soymilks were then selected for evaluation by consumers from 3 age/cultural categories (n = 75 each category; Caucasian/African American females aged 18 to 30 y; Asian females aged 18 to 30 y; Caucasian/African American females aged 40 to 64 y). Consumers evaluated overall liking and liking and intensity of specific attributes. Results were evaluated by analysis of variance, followed by internal and external preference mapping. Age had no effect on overall liking, while ethnicity did (Caucasian/African American compared with Asian; P < 0.05). Caucasians/African Americans differentiated soymilks more than Asians and assigned a wider range of liking scores than Asians (2.1 to 7.2 compared with 4.0 to 6.1). Three consumer clusters were identified. Sweet taste with vanilla/vanillin and sweet aromatic flavors and higher viscosity were preferred by most consumers and differences between consumer clusters were primarily in drivers of dislike. Drivers of dislike were not identified for Cluster 1 consumers while Clusters 2 and 3 consumers (n = 84, n = 80) disliked beany, green/grassy and meaty/brothy flavors and astringency. Cluster 3 (n = 80) consumers scored all soymilks higher in liking (P < 0.05) than Cluster 2 consumers, and were willing to overlook disliked attributes with the addition of sweet taste, whereas the Cluster 2 consumers were not. These findings can be utilized to produce soymilks with attributes that are well liked by target consumers and to tailor attributes for segments of the population that have not yet been accommodated.     

中韩女青年体型特征与体脂肪率对比分析

利用马丁测量仪和体重脂肪率计测仪,选择年龄在20~39岁之间的中、韩女性共400名,测出其躯体围度与体脂肪率等数据;通过SPSS10.0软件对数据进行方差分析,发现中韩两国女性(20~39岁)体型特征与体脂肪率非常相似,但也有不同之处。最后应用人体测量学理论得出结论:中韩两国女青年的平均肥胖指数都在正常范围之内,但韩国女性的体脂肪率和体重指数(BMI)值略高于中国女性,该数据可为服装工业提供更精确的人体尺寸资料。