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.
CITATION STYLE
Scataglini, S., Danckaers, F., Haelterman, R., Huysmans, T., & Sijbers, J. (2019). Moving statistical body shape models using blender. In Advances in Intelligent Systems and Computing (Vol. 822, pp. 28–38). Springer Verlag. https://doi.org/10.1007/978-3-319-96077-7_4
Mendeley helps you to discover research relevant for your work.