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A fast-modeling framework for personalized human body models based on a single image.

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Title: A fast-modeling framework for personalized human body models based on a single image.
Authors: Yuan, Qiuqi1,2,3 (AUTHOR), Xiao, Zhi1 (AUTHOR), Zhu, Xiaoming4 (AUTHOR), Li, Bin1,2,3 (AUTHOR), Hu, Jingzhou5 (AUTHOR), Niu, Yunfei6 (AUTHOR), Xu, Shiwei1,2,3 (AUTHOR) xushiwei@hnu.edu.cn
Source: Medical & Biological Engineering & Computing. May2025, Vol. 63 Issue 5, p1383-1396. 14p.
Subjects: Point cloud, Morphing (Computer animation), Computer simulation, Traffic accidents, Finite element method, Three-dimensional modeling, Human mechanics
Abstract: Finite element human body models (HBMs) are the primary method for predicting human biological responses in vehicle collisions, especially personalized HBMs that allow accounting for diverse populations. Yet, creating personalized HBMs from a single image is a challenging task. This study addresses this challenge by providing a framework for HBM personalization, starting from a single image used to estimate the subject's skin point cloud, the skeletal point cloud, and the relative positions of the skeletons. Personalized HBMs were created by morphing the baseline HBM accounting skin and skeleton point clouds using a point cloud registration–based mesh morphing method. Using this framework, eight personalized HBMs with various biological characteristics (e.g., sex, height, and weight) were created, with comparable element quality to the baseline HBM. The mean geometric errors of the personalized FEMs generated by the framework are less than 7 mm, which was found to be acceptable based on biomechanical response evaluations conducted in this study. [ABSTRACT FROM AUTHOR]
Copyright of Medical & Biological Engineering & Computing is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: A fast-modeling framework for personalized human body models based on a single image.
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  Data: <searchLink fieldCode="AR" term="%22Yuan%2C+Qiuqi%22">Yuan, Qiuqi</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Xiao%2C+Zhi%22">Xiao, Zhi</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhu%2C+Xiaoming%22">Zhu, Xiaoming</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Bin%22">Li, Bin</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hu%2C+Jingzhou%22">Hu, Jingzhou</searchLink><relatesTo>5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Niu%2C+Yunfei%22">Niu, Yunfei</searchLink><relatesTo>6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Xu%2C+Shiwei%22">Xu, Shiwei</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<i> xushiwei@hnu.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22Medical+%26+Biological+Engineering+%26+Computing%22">Medical & Biological Engineering & Computing</searchLink>. May2025, Vol. 63 Issue 5, p1383-1396. 14p.
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  Data: <searchLink fieldCode="DE" term="%22Point+cloud%22">Point cloud</searchLink><br /><searchLink fieldCode="DE" term="%22Morphing+%28Computer+animation%29%22">Morphing (Computer animation)</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+simulation%22">Computer simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Traffic+accidents%22">Traffic accidents</searchLink><br /><searchLink fieldCode="DE" term="%22Finite+element+method%22">Finite element method</searchLink><br /><searchLink fieldCode="DE" term="%22Three-dimensional+modeling%22">Three-dimensional modeling</searchLink><br /><searchLink fieldCode="DE" term="%22Human+mechanics%22">Human mechanics</searchLink>
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  Data: Finite element human body models (HBMs) are the primary method for predicting human biological responses in vehicle collisions, especially personalized HBMs that allow accounting for diverse populations. Yet, creating personalized HBMs from a single image is a challenging task. This study addresses this challenge by providing a framework for HBM personalization, starting from a single image used to estimate the subject's skin point cloud, the skeletal point cloud, and the relative positions of the skeletons. Personalized HBMs were created by morphing the baseline HBM accounting skin and skeleton point clouds using a point cloud registration–based mesh morphing method. Using this framework, eight personalized HBMs with various biological characteristics (e.g., sex, height, and weight) were created, with comparable element quality to the baseline HBM. The mean geometric errors of the personalized FEMs generated by the framework are less than 7 mm, which was found to be acceptable based on biomechanical response evaluations conducted in this study. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Medical & Biological Engineering & Computing is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s11517-024-03267-w
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      – SubjectFull: Computer simulation
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      – SubjectFull: Traffic accidents
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      – SubjectFull: Human mechanics
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      – TitleFull: A fast-modeling framework for personalized human body models based on a single image.
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              M: 05
              Text: May2025
              Type: published
              Y: 2025
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