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

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

433 Zitate (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.

Originalsprache	Englisch
Titel	Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018) - Volume V
Untertitel	Human Simulation and Virtual Environments, Work With Computing Systems WWCS, Process Control
Redakteure/-innen	Yushi Fujita, Sebastiano Bagnara, Riccardo Tartaglia, Sara Albolino, Thomas Alexander
Herausgeber (Verlag)	Springer
Seiten	28-38
Seitenumfang	11
ISBN (Print)	9783319960760
DOIs	https://doi.org/10.1007/978-3-319-96077-7_4
Publikationsstatus	Veröffentlicht - 2019
Veranstaltung	20th Congress of the International Ergonomics Association, IEA 2018 - Florence, Italien Dauer: 26 Aug. 2018 → 30 Aug. 2018

Publikationsreihe

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

Konferenz

Konferenz	20th Congress of the International Ergonomics Association, IEA 2018
Land/Gebiet	Italien
Ort	Florence
Zeitraum	26/08/18 → 30/08/18

Zugriff auf Dokument

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

Andere Dateien und Links

Verknüpfung zur Publikation in Scopus

Dieses zitieren

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 (Hrsg.), 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 (S. 28-38). (Advances in Intelligent Systems and Computing; Band 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. Hrsg. / Yushi Fujita ; Sebastiano Bagnara ; Riccardo Tartaglia ; Sara Albolino ; Thomas Alexander. Springer, 2019. S. 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. in Y Fujita, S Bagnara, R Tartaglia, S Albolino & T Alexander (Hrsg.), 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, Bd. 822, Springer, S. 28-38, 20th Congress of the International Ergonomics Association, IEA 2018, Florence, Italien, 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. Hrsg. / Yushi Fujita; Sebastiano Bagnara; Riccardo Tartaglia; Sara Albolino; Thomas Alexander. Springer, 2019. S. 28-38 (Advances in Intelligent Systems and Computing; Band 822).

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

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

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

UR - https://www.scopus.com/pages/publications/85052116305

U2 - 10.1007/978-3-319-96077-7_4

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

M3 - Conference contribution

AN - SCOPUS:85052116305

SN - 9783319960760

T3 - Advances in Intelligent Systems and Computing

SP - 28

EP - 38

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

A2 - Fujita, Yushi

A2 - Bagnara, Sebastiano

A2 - Tartaglia, Riccardo

A2 - Albolino, Sara

A2 - Alexander, Thomas

PB - Springer

T2 - 20th Congress of the International Ergonomics Association, IEA 2018

Y2 - 26 August 2018 through 30 August 2018

ER -

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, Hrsg., 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. S. 28-38. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-319-96077-7_4

Moving statistical body shape models using blender

Abstract

Publikationsreihe

Konferenz

Zugriff auf Dokument

Andere Dateien und Links

Fingerprint

Dieses zitieren