Moving Statistical Body Shape Models Using Blender

Sofia Scataglini; Femke  Danckaers; Robby 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, Robby Haelterman, Toon Huysmans, Jan Sijbers

Applied Ergonomics and Design

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

442 Citations (Scopus)

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)
Subtitle of host publication	Human Simulation and Virtual Environments, Work With Computing Systems WWCS, Process Control
Editors	Sebastiano Bagnara, Riccardo Tartaglia, Sara Albolino, Thomas Alexander, Yushi Fujita
Place of Publication	Cham
Publisher	Springer
Pages	28-38
Number of pages	11
Volume	V
ISBN (Electronic)	978-3-319-96077-7
ISBN (Print)	978-3-319-96076-0
DOIs	https://doi.org/10.1007/978-3-319-96077-7_4
Publication status	Published - 2019
Event	IEA 2018: 20th Congress of the International Ergonomics Association - Florence, Italy Duration: 26 Aug 2018 → 30 Aug 2018 Conference number: 20

Publication series

Name	Advances in Intelligent Systems and Computing
Publisher	Springer
Volume	822
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	IEA 2018: 20th Congress of the International Ergonomics Association
Abbreviated title	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 S. Bagnara, R. Tartaglia, S. Albolino, T. Alexander, & Y. Fujita (Eds.), Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018): Human Simulation and Virtual Environments, Work With Computing Systems WWCS, Process Control (Vol. V, 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, Robby et al. / Moving Statistical Body Shape Models Using Blender. Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018): Human Simulation and Virtual Environments, Work With Computing Systems WWCS, Process Control. editor / Sebastiano Bagnara ; Riccardo Tartaglia ; Sara Albolino ; Thomas Alexander ; Yushi Fujita. Vol. V Cham : 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 Robby Haelterman and Toon Huysmans and Jan Sijbers",

year = "2019",

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

language = "English",

isbn = "978-3-319-96076-0",

volume = "V",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer",

pages = "28--38",

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

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

note = " IEA 2018: 20th Congress of the International Ergonomics Association, IEA 2018 ; Conference date: 26-08-2018 Through 30-08-2018",

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Scataglini, S, Danckaers, F, Haelterman, R, Huysmans, T & Sijbers, J 2019, Moving Statistical Body Shape Models Using Blender. in S Bagnara, R Tartaglia, S Albolino, T Alexander & Y Fujita (eds), Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018): Human Simulation and Virtual Environments, Work With Computing Systems WWCS, Process Control. vol. V, Advances in Intelligent Systems and Computing, vol. 822, Springer, Cham, pp. 28-38, IEA 2018: 20th Congress of the International Ergonomics Association, 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, Robby et al.
Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018): Human Simulation and Virtual Environments, Work With Computing Systems WWCS, Process Control. ed. / Sebastiano Bagnara; Riccardo Tartaglia; Sara Albolino; Thomas Alexander; Yushi Fujita. Vol. V Cham: Springer, 2019. p. 28-38 (Advances in Intelligent Systems and Computing; Vol. 822).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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T1 - Moving Statistical Body Shape Models Using Blender

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AU - Danckaers, Femke

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AU - Sijbers, Jan

N1 - Conference code: 20

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.

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KW - Motion capture

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T3 - Advances in Intelligent Systems and Computing

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

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A2 - Tartaglia, Riccardo

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A2 - Alexander, Thomas

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Scataglini S, Danckaers F, Haelterman R, Huysmans T, Sijbers J. Moving Statistical Body Shape Models Using Blender. In Bagnara S, Tartaglia R, Albolino S, Alexander T, Fujita Y, editors, Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018): Human Simulation and Virtual Environments, Work With Computing Systems WWCS, Process Control. Vol. V. Cham: 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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