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Measuring the efficacy of positioning aids for capturing 3D data in different clothing configurations and postures with a high-resolution whole-body scanner

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journal contribution
posted on 01.10.2020, 08:11 by Frank Schwarz-Muller, Russell MarshallRussell Marshall, Steve SummerskillSteve Summerskill, Christoph Poredda
Numerous surveys have been conducted worldwide to capture 3D anthropometric data of individuals scanned in tight underwear. However, such semi-nude data are inadequate for designing workspaces for specialised user populations who wear protective clothing and equipment. Determining the offset between semi-nude and clothed configurations requires the same individual to be repeatedly scanned in exactly the same posture. Specifically, for the use in a high-resolution 3D body scanner, positioning aids for the standing and seated posture were developed to stabilise the posture during the scanning process without compromising data integrity. The mean absolute variability (MAV) index was introduced to determine the efficacy of the positioning aids. It was shown that the positioning aids efficiently reduce the variability in fore-and-aft and side-to-side directions. This way the precondition was created for the precise superimposition of scans permitting the offset between diverse clothing configurations to be determined.

Funding

Bundeswehr Technical Centre for Land-Based Vehicle Systems, Engineer and General Field Equipment (WTD 41) and the Mechanized Infantry of the Bundeswehr.

History

School

  • Design and Creative Arts

Department

  • Design

Published in

Measurement

Volume

169

Publisher

Elsevier

Version

AM (Accepted Manuscript)

Rights holder

© Elsevier

Publisher statement

This paper was accepted for publication in the journal Measurement and the definitive published version is available at https://doi.org/10.1016/j.measurement.2020.108519

Acceptance date

23/09/2020

Publication date

2020-10-02

Copyright date

2020

ISSN

0263-2241

Language

en

Depositor

Dr Russell Marshall. Deposit date: 29 September 2020

Article number

108519