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Moving statistical body shape models using blender
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| Author |
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| Abstract |
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| In this paper, we present a new framework to integrate movement acquired by a motion capture system to a statistical body shape model using Blender. This provides a visualization of a digital human model based upon anthropometry and biomechanics of the subject. A moving statistical body shape model helps to visualize physical tasks with inter-individual variability in body shapes as well as anthropometric dimensions. This parametric modeling approach is useful for reliable prediction and simulation of the body shape movement of a specific population with a few given predictors such as stature, body mass index and age. |
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| Language |
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English
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| Source (book) |
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Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018). IEA 2018. / Bagnara, S. [edit.] |
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| Source (series) |
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Advances in Intelligent Systems and Computing; 822 |
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| Publication |
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Cham : Springer international publishing ag, 2019
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| ISSN |
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2194-5357
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| ISBN |
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978-3-319-96076-0
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978-3-319-96077-7
978-3-319-96076-0
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| Volume/pages |
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822(2019), p. 28-38
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| ISI |
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000473064000004
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