@inproceedings {1852, title = {Automatic Generation of Statistical Shape Models in Motion}, booktitle = {Advances in Human Factors in Simulation and Modeling (AHFE 2018)}, volume = {780}, year = {2019}, pages = {170{\textendash}178}, publisher = {Springer International Publishing}, organization = {Springer International Publishing}, address = {Cham}, abstract = {Statistical body shape modeling (SBSM) is a well-known technique to map out the variability of body shapes and is commonly used in 3D anthropometric analyses. In this paper, a new approach to integrate movement acquired by a motion capture system with a body shape is proposed. This was done by selecting landmarks on a body shape model, and predicting a body shape based on features. Then, a virtual skeleton was generated relative to those landmarks. This skeleton was parented to a body shape, allowing to modify its pose and to add pre-recorded motion to different body shapes in a realistic way.}, isbn = {978-3-319-94223-0}, doi = {10.1007/978-3-319-94223-0_16}, author = {Femke Danckaers and Scataglini, Sofia and Haelterman, Robby and Van Tiggelen, Damien and Toon Huysmans and Jan Sijbers}, editor = {Cassenti, Daniel N.} }