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Quantification of buttock deformation on a rigid seat

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conference contribution
posted on 2019-03-11, 11:41 authored by Michael Harry, Russell MarshallRussell Marshall, Michael FrayMichael Fray
The interaction between the human body and seats is a complex area of research. Due to the biological variation of soft tissues across human beings and the differences in research methods between investigators, the scientific knowledge on buttock deformation is inadequate. To achieve an objective characterization of how the buttock deforms during sitting, a new method was developed involving a motion capture system. With this method, correlations were identified between buttock compression and various anthropometric measurements obtained. Additionally, the method provided relevant insight into the variation in buttock deformation attributes across body-type categories. The results obtained were found applicable to digital human modelling, which is often used in the anthropometric assessment of various seated tasks.

History

School

  • Design

Published in

Advances in Additive Manufacturing, Modeling Systems and 3D Prototyping (AHFE 2019)

Pages

471 - 483

Citation

HARRY, M., MARSHALL, R. and FRAY, M., 2019. Quantification of buttock deformation on a rigid seat. IN: Di Nicolantonio, M., Rossi E. and Alexander T. (eds). Advances in Additive Manufacturing, Modeling Systems and 3D Prototyping (AHFE 2019), Washington D.C., USA, 24-28 July 2019, pp.471-483.

Publisher

Springer

Version

  • AM (Accepted Manuscript)

Rights holder

© Springer Nature Switzerland AG

Publisher statement

This is a pre‐copyedited version of a contribution published in HARRY, M., MARSHALL, R. and FRAY, M., 2019. Quantification of buttock deformation on a rigid seat. IN: Di Nicolantonio, M., Rossi E. and Alexander T. (eds). Advances in Additive Manufacturing, Modeling Systems and 3D Prototyping (AHFE 2019), Washington D.C., USA, 24-28 July 2019, pp.471-483. The definitive authenticated version is available online via https://doi.org/10.1007/978-3-030-20216-3_44.

Acceptance date

2019-02-04

Publication date

2019-06-5

Copyright date

2020

ISBN

9783030202156; 9783030202163

ISSN

2194-5357

Book series

Advances in Intelligent Systems and Computing;975

Language

  • en

Editor(s)

Massimo Di Nicolantonio; Emilio Rossi; Thomas Alexander