Towards parametric modelling of skin cancer risk: estimation of body surface area covered by protective clothing using base mesh modelling

Briceno, Leyde, Harrison, Simone, and Paul, Gunther (2018) Towards parametric modelling of skin cancer risk: estimation of body surface area covered by protective clothing using base mesh modelling. In: Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018) (1) pp. 106-116. From: 20th Congress of the International Ergonomics Association (IEA 2018), 26-30 August 2018, Florence, Italy. (In Press)

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Abstract

The accumulated exposure to ultra-violet radiation creates an occupational and public health risk, and is carcinogenic to humans. The body surface area coverage by clothing (BSAC) contributes to skin cancer risk, and is a requirement in international standards on sun protective clothing, such as AS/NZS 4399:2017. BSAC is usually calculated utilising human subjects or physical mannequins using coating methods, indirect methods or direct measurements estimating the fraction of body covered. These methods are laborious and inflexible, and do not support computer based apparel design. To obtain a simpler, process integrated method, we determine the proportion of exposed body surface area using variable digital human models as virtual subjects, and image processing tools. Parametric, neutral posture human bodies of varying body stature, weight and age, including females and males, were generated in MakeHuman v1.1.1, and a protective clothing mesh, covering the minimum BSA specified in AS/NZS 4399:2017 was added. The MakeHuman definition of a human is based on fuzzy logic, with the main parameters normalised, and linked in a non-linear relation. The Whole Body Surface Area (WBSA) and the BSAC were obtained employing MeshLab, integrating elements on the respective surfaces, which were processed to improve precision. A procedure was developed to control geometric inconsistencies between the body base mesh and the clothing mesh. Thus different representative, generalized 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 with their respective typical protective clothing conditions.

Research Statement

Research Background Preventing skin cancer by designing clothing that provides adequate sun-protection by covering a significant proportion of the body surface
Research Contribution Related to research conducted in response to amended Australian and New Zealand Standard for the evaluation and classification of sun-protective clothing. SL Harrison is a member of the Australian Standard Technical Committee TX21 responsible for revising the standard to include minimum body surface coverage expectations.
Research Significance This work will assist clothing designers to design apparel that complies with the body surface coverage compliance of the most recent Australian and New Zealand Standard for Sun-protective clothing, AS/NZS 4399:2017 and may have implications internationally.
Item ID: 52568
Item Type: Conference Item (Research - E1)
ISBN: 978-3-319-96097-5
ISSN: 2194-5365
Keywords: Digital Human Modelling (DHM); body surface area coverage by clothing (BSAC); Skin cancer; MakeHuman; sun-protection; clothing; photoprotection; Australian standard; apparel; sun-protective clothing; ultraviolet radiation; sunlight; melanoma
Copyright Information: © Springer Nature Switzerland AG 2019
Projects and Grants: Parkes Bequest
Date Deposited: 15 Aug 2018 01:20
FoR Codes: 11 MEDICAL AND HEALTH SCIENCES > 1117 Public Health and Health Services > 111705 Environmental and Occupational Health and Safety @ 30%
11 MEDICAL AND HEALTH SCIENCES > 1117 Public Health and Health Services > 111716 Preventive Medicine @ 70%
SEO Codes: 92 HEALTH > 9204 Public Health (excl. Specific Population Health) > 920499 Public Health (excl. Specific Population Health) not elsewhere classified @ 60%
92 HEALTH > 9204 Public Health (excl. Specific Population Health) > 920401 Behaviour and Health @ 20%
92 HEALTH > 9204 Public Health (excl. Specific Population Health) > 920405 Environmental Health @ 20%
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