3DBODY.TECH 2024 - Paper 24.17
C. McDonald et al., "Metrics for Including Posture and Body-Shape Variation in Scan Databases for Apparel Practice", Proc. of 3DBODY.TECH 2024 - 15th Int. Conf. and Exh. on 3D Body Scanning and Processing Technologies, Lugano, Switzerland, 22-23 Oct. 2024, #17, https://doi.org/10.15221/24.17.
Title:
Metrics for Including Posture and Body-Shape Variation in Scan Databases for Apparel Practice
Authors:
Carol MCDONALD 1, Emma SCOTT 2, Fatma BAYTAR 3, Susan ASHDOWN 3, Gerald RUDERMAN 4
1 Gneiss Concept, USA;
2 Fashion Should Empower Research Group, Canada;
3 Cornell University, USA;
4 Zdoit, USA
Abstract:
The foundations of good fit in patternmaking are identified as grain/wale, line, ease, balance and set. The interaction of these factors with themselves and the human body establishes the body-to-garment relationship understood to be ‘fit’. Posture is a critical component of this relationship. Posture also impacts the balance and set of the garment, both in stationary and active poses. The skeletal joints distinguishing posture provide the understanding of the garment suspension points and direct the distribution of ease and flow of the garment from these points.
During large-scale study of scanned human body data, it is common practice to normalize subject posture and focus on subject shape. This practice has proven effective for ergonomic use cases, but problematic for apparel-related practice where the body must be understood in relationship to interaction with garment materials and design. Often, posture and shape are intrinsically related, and separation invalidates apparel use-case results. Varying degrees of head thrust, shoulder rotation, pelvic tilt, kyphosis, lordosis, and varus or valgus knee alignment all change the body-to-garment relationship. A previous posture study has identified placement, alignment, rotation, curvature, and symmetry (PARCS) as descriptors for body region relationships related to posture and pose.
In this paper, we use PARCS descriptors to consider metrics for describing the aspects of posture related to the body-to-garment relationship. These descriptors could be used to reassess vast accumulated 3D body data sets for posture-inclusive shape studies better suited to apparel practice. Recognizing where posture exists outside a baseline ‘normalized’ range is essential for providing good apparel fit for the population. Studies to support where skeletal posture and body shape are intrinsically intertwined will further such efforts.
Keywords:
3D body scanning, 3D body processing, apparel fit, posture, posture descriptors
Details/PDF/VIDEO:
Full paper: PDF
Presentation: VIDEO availble in proceedings
Proceedings: 3DBODY.TECH 2024, 22-23 Oct. 2024, Lugano, Switzerland
Paper id#: 17
DOI: 10.15221/24.17
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