Moving statistical body shape models using blender

Sofia Scataglini; Femke Danckaers; Rob Haelterman; Toon Huysmans; Jan Sijbers

doi:10.1007/978-3-319-96077-7_4

Moving statistical body shape models using blender

Sofia Scataglini
, Femke Danckaers
, Rob Haelterman
, Toon Huysmans
, Jan Sijbers

University of Antwerp
Delft University of Technology

Résultats de recherche: Chapitre dans un livre, un rapport, des actes de conférences › Contribution à une conférence › Revue par des pairs

433 Citations (Scopus)

Résumé

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.

langue originale	Anglais
titre	Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018) - Volume V
Sous-titre	Human Simulation and Virtual Environments, Work With Computing Systems WWCS, Process Control
rédacteurs en chef	Yushi Fujita, Sebastiano Bagnara, Riccardo Tartaglia, Sara Albolino, Thomas Alexander
Editeur	Springer
Pages	28-38
Nombre de pages	11
ISBN (imprimé)	9783319960760
Les DOIs	https://doi.org/10.1007/978-3-319-96077-7_4
état	Publié - 2019
Evénement	20th Congress of the International Ergonomics Association, IEA 2018 - Florence, Italie Durée: 26 août 2018 → 30 août 2018

Série de publications

Nom	Advances in Intelligent Systems and Computing
Volume	822
ISSN (imprimé)	2194-5357

Une conférence

Une conférence	20th Congress of the International Ergonomics Association, IEA 2018
Pays/Territoire	Italie
La ville	Florence
période	26/08/18 → 30/08/18

Accès au document

10.1007/978-3-319-96077-7_4

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Scataglini, S., Danckaers, F., Haelterman, R., Huysmans, T., & Sijbers, J. (2019). Moving statistical body shape models using blender. Dans Y. Fujita, S. Bagnara, R. Tartaglia, S. Albolino, & T. Alexander (eds.), Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018) - Volume V: Human Simulation and Virtual Environments, Work With Computing Systems WWCS, Process Control (p. 28-38). (Advances in Intelligent Systems and Computing; Vol 822). Springer. https://doi.org/10.1007/978-3-319-96077-7_4

Scataglini, Sofia ; Danckaers, Femke ; Haelterman, Rob et al. / Moving statistical body shape models using blender. Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018) - Volume V: Human Simulation and Virtual Environments, Work With Computing Systems WWCS, Process Control. Editeur / Yushi Fujita ; Sebastiano Bagnara ; Riccardo Tartaglia ; Sara Albolino ; Thomas Alexander. Springer, 2019. p. 28-38 (Advances in Intelligent Systems and Computing).

@inproceedings{e8edb7cc908b45598d6b74ae10fccef7,

title = "Moving statistical body shape models using blender",

abstract = "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.",

keywords = "Blender, Digital human modeling, Motion capture, Statistical body shape modeling",

author = "Sofia Scataglini and Femke Danckaers and Rob Haelterman and Toon Huysmans and Jan Sijbers",

note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2019.; 20th Congress of the International Ergonomics Association, IEA 2018 ; Conference date: 26-08-2018 Through 30-08-2018",

year = "2019",

doi = "10.1007/978-3-319-96077-7\_4",

language = "English",

isbn = "9783319960760",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer",

pages = "28--38",

editor = "Yushi Fujita and Sebastiano Bagnara and Riccardo Tartaglia and Sara Albolino and Thomas Alexander",

booktitle = "Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018) - Volume V",

}

Scataglini, S, Danckaers, F, Haelterman, R, Huysmans, T & Sijbers, J 2019, Moving statistical body shape models using blender. Dans Y Fujita, S Bagnara, R Tartaglia, S Albolino & T Alexander (eds), Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018) - Volume V: Human Simulation and Virtual Environments, Work With Computing Systems WWCS, Process Control. Advances in Intelligent Systems and Computing, VOL. 822, Springer, p. 28-38, 20th Congress of the International Ergonomics Association, IEA 2018, Florence, Italie, 26/08/18. https://doi.org/10.1007/978-3-319-96077-7_4

Moving statistical body shape models using blender. / Scataglini, Sofia; Danckaers, Femke; Haelterman, Rob et al.
Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018) - Volume V: Human Simulation and Virtual Environments, Work With Computing Systems WWCS, Process Control. Ed. / Yushi Fujita; Sebastiano Bagnara; Riccardo Tartaglia; Sara Albolino; Thomas Alexander. Springer, 2019. p. 28-38 (Advances in Intelligent Systems and Computing; Vol 822).

Résultats de recherche: Chapitre dans un livre, un rapport, des actes de conférences › Contribution à une conférence › Revue par des pairs

TY - GEN

T1 - Moving statistical body shape models using blender

AU - Scataglini, Sofia

AU - Danckaers, Femke

AU - Haelterman, Rob

AU - Huysmans, Toon

AU - Sijbers, Jan

N1 - Publisher Copyright: © Springer Nature Switzerland AG 2019.

PY - 2019

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AB - 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.

KW - Blender

KW - Digital human modeling

KW - Motion capture

KW - Statistical body shape modeling

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A2 - Fujita, Yushi

A2 - Bagnara, Sebastiano

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A2 - Albolino, Sara

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Scataglini S, Danckaers F, Haelterman R, Huysmans T, Sijbers J. Moving statistical body shape models using blender. Dans Fujita Y, Bagnara S, Tartaglia R, Albolino S, Alexander T, rédacteurs en chef, Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018) - Volume V: Human Simulation and Virtual Environments, Work With Computing Systems WWCS, Process Control. Springer. 2019. p. 28-38. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-319-96077-7_4

Moving statistical body shape models using blender

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