A data-driven classification of 3D foot types by archetypal shapes based on landmarks
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Otros documentos de la autoría: Alcacer Sales, Aleix; Epifanio, Irene; Ibáñez Gual, Maria Victoria; Simó, Amelia; Ballester, Alfredo
Metadatos
Mostrar el registro completo del ítemcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7037
comunitat-uji-handle3:10234/8635
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INVESTIGACIONMetadatos
Título
A data-driven classification of 3D foot types by archetypal shapes based on landmarksAutoría
Fecha de publicación
2020-01-30Editor
Costin Daniel Untaroiu (Virginia Tech, USA); PLOSCita bibliográfica
Alcacer A, Epifanio I, Ibáñez MV, Simó A, Ballester A (2020) A data-driven classification of 3D foot types by archetypal shapes based on landmarks. PLoS ONE 15(1): e0228016. https://doi.org/10.1371/journal.pone.0228016Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0228016Versión
info:eu-repo/semantics/publishedVersionPalabras clave / Materias
Resumen
The taxonomy of foot shapes or other parts of the body is important, especially for design purposes. We propose a methodology based on archetypoid analysis (ADA) that overcomes the weaknesses of previous methodologies ... [+]
The taxonomy of foot shapes or other parts of the body is important, especially for design purposes. We propose a methodology based on archetypoid analysis (ADA) that overcomes the weaknesses of previous methodologies used to establish typologies. ADA is an objective, data-driven methodology that seeks extreme patterns, the archetypal profiles in the data. ADA also explains the data as percentages of the archetypal patterns, which makes this technique understandable and accessible even for non-experts. Clustering techniques are usually considered for establishing taxonomies, but we will show that finding the purest or most extreme patterns is more appropriate than using the central points returned by clustering techniques. We apply the methodology to an anthropometric database of 775 3D right foot scans representing the Spanish adult female and male population for footwear design. Each foot is described by a 5626 × 3 configuration matrix of landmarks. No multivariate features are used for establishing the taxonomy, but all the information gathered from the 3D scanning is employed. We use ADA for shapes described by landmarks. Women’s and men’s feet are analyzed separately. We have analyzed 3 archetypal feet for both men and women. These archetypal feet could not have been recovered using multivariate techniques. [-]
Proyecto de investigación
Spanish Ministry of Science, Innovation and Universities (AEI/FEDER, EU) (DPI2017-87333-R) ; Universitat Jaume I (UJI-B2017-13)Derechos de acceso
info:eu-repo/semantics/openAccess
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- IF_Articles [318]
- MAT_Articles [762]
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Excepto si se señala otra cosa, la licencia del ítem se describe como: © 2020 Alcacer et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.