Statistical Human Body Shape Model including Elderly People
Statistical Human Body Shape Model including Elderly People
复制标题
包括老年人在内的统计人体形态模型
DOI：
10.1109/embc44109.2020.9176459
复制
发表时间：
2020
期刊：
影响因子：
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通讯作者：
Yoshida Eiichi
中科院分区：
文献类型：
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作者：
Yoshiyasu Yusuke;Samy Vincent;Imamura Yumeko;Ayusuwa Ko;Sagawa Ryuusuke;Yoshida Eiichi
在这项研究中，我们提出了一个包括老年人的人体形状统计模型，该模型是使用主成分分析（PCA）对大约 130 人的 3D 身体扫描数据构建的。作为预处理步骤，使用基于共形变形方法的从粗到细的表面配准技术将模板人体网格模型拟合到 3D 扫描数据，以便在可能处于不同姿势的不同主体的扫描之间建立对应关系。为了通过一小组参数（例如“年龄”、“体重”和“身高”）或易于测量的人体测量参数（例如“肩宽”）来改变体型，获得这些属性与前 10 个主成分得分之间的线性变换。我们设计了一个简单的用户界面来使用这个变形模型轻松生成不同的身体风格。结果，我们能够制作并展示捕捉老年人肩膀下垂和背部弯曲特征的身体样式。最后，作为一个应用，我们使用变形方法生成不同的身体类型，在辅助设备设置中进行正向动力学模拟，并可视化由于身体形状变化而导致的接触压力分布的差异。
In this study, we present a human body shape statistical model including elderly people, which is constructed using principal component analysis (PCA) on 3D body scan data of approximately 130 people. As a pre-process step, a template human body mesh model is fitted to 3D scan data using a coarse-to-fine surface registration technique based on a conformal deformation method, in order to establish correspondences between the scans of different subjects possibly in different poses. To change body style by a small set of parameters, such as "age", "weight" and "height" or the easily measurable anthropometric parameters like "shoulder width", the linear transformations between these attributes and the first 10 principal component scores are obtained. We design a simple user interface to use this deformation model to generate different body styles easily. As a result, we were able to produce and show body styles capturing the characteristics of elderly people whose shoulders fell and back bent. Finally, as an application, we used our deformation method to generate different body types, performed forward dynamics simulations in an assistive device setting and visualized the differences in contact pressure distributions due to body shape changes.
DOI：
10.1007/978-3-030-00928-1_89
发表时间：
2018-09
期刊：
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影响因子：
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作者：
通讯作者：
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利用几何皮肤变形模型对辅助器具上的人体进行正向动力学模拟
DOI：
10.1109/embc.2015.7318887
发表时间：
2015
期刊：
2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
影响因子：
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作者：
Y. Yoshiyasu;Ko Ayusawa;E. Yoshida;Y. Matsumoto;Y. Endo
通讯作者：
Y. Endo