Predicting garment pattern dimensions from photographic and anthropometric data

Edith Gazzuolo, Marilyn DeLong, Sharon Lohr, Karen LaBat, Elizabeth Bye

Research output: Contribution to journalArticlepeer-review

23 Scopus citations

Abstract

Traditional linear measurements (lengths and circumferences taken over the body surface with a tape measure) were compared with measurements of frontal and lateral view photographs for usefulness in determining pattern dimensions for the upper torso of the female body form. The statistical regression models developed indicated that, while linear measurements provided slightly more accuracy in predicting a few of the pattern dimensions, the photographic measurements were more accurate in predicting others, particularly pattern angles. Photographic measurements hold promise as an alternative to the more intrusive linear measurements for predicting pattern dimensions.

Original languageEnglish (US)
Pages (from-to)161-171
Number of pages11
JournalApplied Ergonomics
Volume23
Issue number3
DOIs
StatePublished - 1992

Bibliographical note

Funding Information:
Minnesota under the direction of Marilyn DeLong and was partially supported through a grant from 3M Company, St Paul, Minnesota

Keywords

  • Anthropometry
  • garment patterns
  • photography
  • predictive relationships

Fingerprint

Dive into the research topics of 'Predicting garment pattern dimensions from photographic and anthropometric data'. Together they form a unique fingerprint.

Cite this