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

Hyperspectral Unit

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018) - Volume V
Subtitle of host publication	Human Simulation and Virtual Environments, Work With Computing Systems WWCS, Process Control
Editors	Yushi Fujita, Sebastiano Bagnara, Riccardo Tartaglia, Sara Albolino, Thomas Alexander
Publisher	Springer
Pages	28-38
Number of pages	11
ISBN (Print)	9783319960760
DOIs	https://doi.org/10.1007/978-3-319-96077-7_4
Publication status	Published - 2019
Event	20th Congress of the International Ergonomics Association, IEA 2018 - Florence, Italy Duration: 26 Aug 2018 → 30 Aug 2018

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	822
ISSN (Print)	2194-5357

Conference

Conference	20th Congress of the International Ergonomics Association, IEA 2018
Country/Territory	Italy
City	Florence
Period	26/08/18 → 30/08/18

Keywords

Blender
Digital human modeling
Motion capture
Statistical body shape modeling

Access to Document

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

Cite this

Scataglini, S., Danckaers, F., Haelterman, R., Huysmans, T., & Sijbers, J. (2019). Moving statistical body shape models using blender. In 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 (pp. 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. editor / Yushi Fujita ; Sebastiano Bagnara ; Riccardo Tartaglia ; Sara Albolino ; Thomas Alexander. Springer, 2019. pp. 28-38 (Advances in Intelligent Systems and Computing).

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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",

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Scataglini, S, Danckaers, F, Haelterman, R, Huysmans, T & Sijbers, J 2019, Moving statistical body shape models using blender. in 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, pp. 28-38, 20th Congress of the International Ergonomics Association, IEA 2018, Florence, Italy, 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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Moving statistical body shape models using blender

AU - Scataglini, Sofia

AU - Danckaers, Femke

AU - Haelterman, Rob

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AU - Sijbers, Jan

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

PY - 2019

Y1 - 2019

N2 - 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.

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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SN - 9783319960760

T3 - Advances in Intelligent Systems and Computing

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EP - 38

BT - Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018) - Volume V

A2 - Fujita, Yushi

A2 - Bagnara, Sebastiano

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A2 - Albolino, Sara

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PB - Springer

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Scataglini S, Danckaers F, Haelterman R, Huysmans T, Sijbers J. Moving statistical body shape models using blender. In Fujita Y, Bagnara S, Tartaglia R, Albolino S, Alexander T, editors, 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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