Current Volume 8
Abstract
The apparel industry is replete with assumptions regarding the body-garment relationship. Traditional anthropometry focuses on linear body measurements, which are inadequate to describe and classify the human body-form for apparel pattern development. To enable the development of a body-form based block system, thiscase study explored the body-garment relationship for a sheath dress to determine if apparel block shapes could be categorized based on distinct body-form variations. A modified version of Gazzuolo’s (1985) body-garment relationship theory guided the development and analysis of the study. Pattern blocks were fit to 39 female subjects, with 16 dimensions extracted from specific pattern components and graphed to reveal between one and five groups per dimension. Visual analysis of the sample’s bodyscans revealed 27 body-form variations with 99 categorical descriptions. Categorical descriptions were compared to the dimensional values resulting in ten suggestions for a body-form based block system, and seventeen assumptions that require further analysis. In conclusion, this case study discovered multiple body-form variations across a single size, but block shapes could not be identified due to the wide variation in the sample. Future studies should assess a statistically significant sample of individuals within-depth analysis of a single body region to determine if there are generalizable body-form variations across the population.
Keywords
Fit, Body–garment relationship, Theory, Patternmaking, CAD, and Body scans
Citations
IRE Journals:
Dr. G. S. Sivakumar
"Sheath Dress Analysis and Body - Garment Relation" Iconic Research And Engineering Journals Volume 1 Issue 10 2018 Page 271-286
IEEE:
Dr. G. S. Sivakumar
"Sheath Dress Analysis and Body - Garment Relation" Iconic Research And Engineering Journals, 1(10)
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IRE Journals is an open access online journals established with an aim to publish high quality of research work in various diciplines. We have more than 6 years in publications. Over 2500+ papers already published.
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