A method for increasing 3D body scanning`s precision: Gryphon and consecutive scanning
The fashion industry cannot use 3 D Body Scanning to create custom garment patterns because its measurements fail to meet ISO 20685:2010`s tolerances. To advance 3 D 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 3 D 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 3 D Body Scanning`s precision at a level unavailable under previous methods.
© Copyright 2022 Ergonomics. Taylor & Francis. All rights reserved.
| Subjects: | |
|---|---|
| Notations: | biological and medical sciences technical and natural sciences |
| Tagging: | Bodyscanner |
| Published in: | Ergonomics |
| Language: | English |
| Published: |
2022
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| Online Access: | https://doi.org/10.1080/00140139.2021.1931473 |
| Volume: | 65 |
| Issue: | 1 |
| Pages: | 39-59 |
| Document types: | article |
| Level: | advanced |