Parametric human modelling to determine body surface area covered by sun-protective clothing.
Ergonomics
; 63(3): 293-306, 2020 Mar.
Article
em En
| MEDLINE
| ID: mdl-31795841
Solar ultraviolet radiation (UVR) is the main environmental risk-factor for cancer of the skin. Sun-protective clothing provides a physical barrier that reduces the UVR dose reaching the skin and European and Australian standards for sun-protective clothing set minimum clothing coverage requirements. Body Surface Area Coverage by clothing (BSAC) is calculated by means of indirect or direct methods, which are laborious and do not support computer-based apparel design. To support the sun-safe specification and design of garments, parametric digital human models and protective clothing mesh covering the minimum Body Surface Area specified in AS/NZS 4399:2017, were created making use of MakeHuman v1.1.1 and Blender software. The Whole Body Surface Area (WBSA) and the BSAC were calculated employing code developed in Blender. Thus, different groups of subjects were analysed to explore BSAC. The method assists in the evaluation of exposed body areas in a wider spectrum of different occupations. Practitioner summary: Sun-protective clothing provides a physical barrier that reduces the UVR dose reaching the skin's surface. Body Surface Area Coverage (BSAC) by clothing is an important determinant of the sun protective capabilities of a garment. In this study, BSAC is calculated using parametric digital human modelling. Abbreviation: UVR: (Solar) ultraviolet radiation; DHM: digital human modeling; BSA: body surface area; BSAC: body surface area coverage (by clothing); BSANC: body surface area not covered (by clothing); WBSA: whole body surface area; BCC: basal cell carcinoma; SCC: squamous cell carcinoma; UPF: ultraviolet protection factor; GPF: garment protection factor.
Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Roupa de Proteção
/
Proteção Radiológica
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Luz Solar
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Raios Ultravioleta
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Superfície Corporal
Tipo de estudo:
Prognostic_studies
/
Risk_factors_studies
Limite:
Adult
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Aged
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Aged80
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Female
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Humans
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Male
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Middle aged
Idioma:
En
Revista:
Ergonomics
Ano de publicação:
2020
Tipo de documento:
Article