Variations in Head-and-Face Shape of Chinese Civilian Workers.

Annals of Occupational Hygiene Pub Date : 2015-08-01 Epub Date: 2015-04-09 DOI:10.1093/annhyg/mev026
Yuewei Liu, Pengcheng Xi, Michael Joseph, Ziqing Zhuang, Chang Shu, Luman Jiang, Michael Bergman, Weihong Chen
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引用次数: 7

Abstract

This study aims to elucidate variations in head-and-face shape among the Chinese civilian workers. Most respirator manufacturers are using outdated, Western anthropometric data to design respirators for the Chinese workers. Therefore, newly acquired anthropometric data specific to the Chinese population are needed to create more effective personal protective equipment. The three-dimensional (3D) head scans of 350 participants, who were selected from the 3000 participants in the 2006 Chinese Anthropometric Survey, were processed using geometric processing techniques. Each scan was then linked with the others, making statistical shape analysis on a dense set of 3D points possible. Furthermore, this provided for the reduction of scan noise as well as for the patching of holes. Following general scan correspondence and fine tuning, principal component analysis was used to analyze the variability in head-and-face shape of the 3D images. More than 90% of the variability among head-and-face shapes was accounted for with 26 principal components. Future study is recommended so the overall usefulness of the point cloud-based approach for the quantification of variations in facial morphology may be determined.

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中国农民工头脸形态的变化。
本研究旨在探讨中国文职人员头脸形状的差异。大多数呼吸器制造商使用过时的西方人体测量数据为中国工人设计呼吸器。因此,需要新获得的针对中国人群的人体测量数据来制造更有效的个人防护装备。从2006年中国人体测量调查的3000名参与者中挑选出350名参与者,使用几何处理技术对他们的三维头部扫描图进行处理。然后,每次扫描都与其他扫描相关联,从而可以对密集的3D点进行统计形状分析。此外,这提供了扫描噪声的降低以及孔的修补。在一般扫描对应和微调之后,采用主成分分析分析三维图像的头脸形状变化。超过90%的头部和面部形状的变化是由26个主成分组成的。建议未来的研究,以便确定基于点云的方法对面部形态学变化的量化的总体有用性。
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