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3D standard avatar creation of Korean women in their twenties and thirties by body types for apparel industry
International Journal of Industrial Ergonomics ( IF 2.5 ) Pub Date : 2021-02-10 , DOI: 10.1016/j.ergon.2020.103081
Hyunjung Han , Taehoon Kim , Eunkyung Jeon

The purposes of this study are to classify body types of Korean women in their twenties and thirties for the creation of the 3D avatars and to propose the representative body size of each body type by analyzing the body size of Korean women in their twenties and thirties, to propose a 3D avatar modeling process design that reflects the body shapes of Korean women in their twenties and thirties, and to present standard 3D avatars of each body type of Korean women in their twenties and thirties which are verified with measurement suitability. The 3D anthropometric data of the Korean Anthropometric Survey (6th Size Korea) conducted in 2010 was used in this study. The collected subjects were 410 Korean women in their twenties and thirties. The 3D avatar modeling process using Maya 2013 was proposed to create the representative 3D avatars show superior measurement suitability. This process includes four steps; Analyzing body size measurements, 2D Image plane design, 3D avatar modeling, and 3D avatar evaluation. The 3D avatars created with this process showed the acceptable range of error. The factor analysis was performed on fifty-five body measurements chosen from the measurements of the 6th Size Korea anthropometric survey. Seven factors were extracted. With the seven extracted factors, body shapes of 406 Korean women in their twenties and thirties are classified into four groups by cluster analysis. The classified groups were named Full & Short, Slim & Short, Full & Tall, and Slim & Tall.



中文翻译:

服装行业按性别划分的20岁至30岁韩国女性的3D标准头像创建

这项研究的目的是对20岁至30岁的韩国女性的体型进行分类,以创建3D化身,并通过分析20岁至30岁的韩国女性的体型来提出每种体型的代表性体型,提出一种3D化身建模过程设计,以反映二十多岁和三十多岁的韩国女性的身体形状,并提出经过二十三岁和二十三岁的韩国女性每种身体类型的标准3D化身,并通过测量适用性进行了验证。本研究使用了2010年韩国人体测量学调查(6th Korea)的3D人体测量数据。收集的受试者是410岁的二十多岁和三十多岁的韩国女性。提出使用Maya 2013进行3D化身建模的过程,以创建具有代表性的3D化身,以显示出卓越的测量适用性。该过程包括四个步骤。分析人体尺寸测量,2D图像平面设计,3D头像建模和3D头像评估。通过此过程创建的3D化身显示了可接受的误差范围。在从第六次韩国人体测量调查的测量结果中选择的55个身体测量结果上进行了因子分析。提取了七个因素。通过七种提取因子,通过聚类分析将406名20岁至30岁的韩国女性的身体形态分为四组。分类的组分别命名为Full&Short,Slim&Short,Full&Tall和Slim&Tall。分析人体尺寸测量,2D图像平面设计,3D头像建模和3D头像评估。通过此过程创建的3D化身显示了可接受的误差范围。在从第六次韩国人体测量调查的测量结果中选择的55个身体测量结果上进行了因子分析。提取了七个因素。通过七种提取因子,通过聚类分析将406名20岁至30岁的韩国女性的身体形态分为四组。分类的组分别命名为Full&Short,Slim&Short,Full&Tall和Slim&Tall。分析人体尺寸测量,2D图像平面设计,3D头像建模和3D头像评估。通过此过程创建的3D化身显示了可接受的误差范围。在从第六次韩国人体测量调查的测量结果中选择的55个身体测量结果上进行了因子分析。提取了七个因素。通过七种提取因子,通过聚类分析将406名20岁至30岁的韩国女性的身体形态分为四组。分类的组被命名为Full&Short,Slim&Short,Full&Tall和Slim&Tall。在从第六次韩国人体测量调查的测量结果中选择的55个身体测量结果上进行了因子分析。提取了七个因素。通过七种提取因子,通过聚类分析将406名20岁至30岁的韩国女性的身体形态分为四组。分类的组被命名为Full&Short,Slim&Short,Full&Tall和Slim&Tall。在从第六次韩国人体测量调查的测量结果中选择的55个身体测量结果上进行了因子分析。提取了七个因素。通过七种提取因子,通过聚类分析将406名20岁至30岁的韩国女性的身体形态分为四组。分类的组分别命名为Full&Short,Slim&Short,Full&Tall和Slim&Tall。

更新日期:2021-02-10
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