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Title
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Open-source software to create a kinematic model in digital human modeling
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Author
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Abstract
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| Open-source digital human modeling (DHM) software has emerged as an alternative to expensive and often complex industrial DHM systems. MakeHuman is an open-source software that has been used in ergonomic studies. Based on open-source Python code, the program creates realistic 3D virtual human body surfaces, primarily focusing on morphing details. An intuitive graphical user interface features normalized scales for the main parameters such as gender, age, muscle mass, weight, height, proportion, and ethnicity. These input parameters drive respective output values, which mostly remain normalized, with the exception of height and age on an interval scale. MakeHuman Blender tools connect the MakeHuman and Blender programs, allowing users to modify a base mesh shape, create clothes, apply static poses, or generate animations. In a recent DHM work, MakeHuman was engaged mostly to generate sets of virtual subjects. MakeHuman is a design (gaming)-focused, parametric virtual human modeling tool based on templates. A template model is transformed using scaling factors, resizing its segments and proportions, to generate a set of human bodies compatible with the original base mesh. Fuzzy logic rules form the ontology to process inputs, which are linked to membership functions of fuzzy sets. Providing a morphing target file for each extreme value, multifactorial input change is amalgamated through an inference engine that yields a diversity of human bodies. MakeHuman models can be imported and remeshed in Blender, which also supports the integration of kinematical models into the body mesh. At the end of the DHM generation process, an inverse kinematic dynamic body mesh model in Blender is driven by kinematic data from motion capture. |
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Language
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English
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Source (book)
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DHM and Posturography / Scataglini, S. [edit.]; Paul, G. [edit.]
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Publication
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Academic Press
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2019
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ISBN
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978-0-12-816713-7
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DOI
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10.1016/B978-0-12-816713-7.00017-9
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Volume/pages
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p. 201-213
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Full text (Publisher's DOI)
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