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A method for increasing 3D body scanning’s precision: Gryphon and consecutive scanning

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journal contribution
posted on 14.06.2021, 10:41 authored by Christopher J. ParkerChristopher J. Parker, Simeon Gill, Adrian Harwood, Steven G Hayes, Maryam Ahmed
The fashion industry cannot use 3D Body Scanning to create custom garment patterns because its measurements fail to meet ISO 20685:2010’s tolerances. To advance 3D Body Scanning’s precision, we present Gryphon: an algorithm that removes the two most extreme measurements from five body scans; removing potentially erroneous data. We assess Gryphon’s precision against current industry practice, determine if consecutive and non-consecutive data capture influences precision, and determine 3D Body Scanning’s inherent imprecision inherent. We analyse 97 participants over 121 industry-standard measurements for consecutive and non-consecutive data-capture through MANOVA statistical analysis. Under current industry practice, only one measurement meets ISO 20685. However, under Gryphon and consecutive scanning, 97.5% of measurements meet ISO 20685. We also prove that the body’s in-scan movement does not affect reliability. Ultimately, we offer the fashion industry, ergonomists, and practitioners an accessible method to increase 3D Body Scanning’s precision at a level unavailable under previous methods.

History

School

  • Design and Creative Arts

Department

  • Design

Published in

Ergonomics

Volume

65

Issue

1

Pages

39-59

Publisher

Taylor & Francis

Version

VoR (Version of Record)

Rights holder

© The Authors

Publisher statement

This is an Open Access Article. It is published by Taylor & Francis under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence (CC BY-NC-ND 4.0). Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Acceptance date

12/05/2021

Publication date

2021-06-01

Copyright date

2022

ISSN

0014-0139

eISSN

1366-5847

Language

en

Depositor

Dr Chris Parker. Deposit date: 12 May 2021