Gunther, Paul, and Briceno, Leyde (2019) Estimation of body surface area coverage by garment items: different approaches using mesh base modelling. In: [Presented at the INCOSE International Conference on Human Systems Integration]. From: HSI 2019: INCOSE International Conference on Human Systems Integration, 11-13 September 2019, Biarritz, France.

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Abstract

Digital Human Modelling can be applied to determine skin exposure to sun as a factor in modelling risk of skin cancer. To determine body area covered by clothing (BSAC), a variety of garment data must be overlaid with the human model. Two approaches, one based on creation of clothing using MakeHuman add-ons in Blender, and the other based on the import of data are exemplified. Results are compared with data from Zhang [6]. We found that a scalable library of garment elements, assembled to typical apparel is a feasible way to model clothing. We conclude that valid BSAC could be determined.

Item ID:	60666
Item Type:	Conference Item (Presentation)
Keywords:	Digital Human Modelling, DHM, Body surface area coverage by clothing, BSAC, skin cancer, MakeHuman
Related URLs:	https://www.incose.org/events-and-news/s...
Date Deposited:	28 Sep 2021 01:39
FoR Codes:	08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080110 Simulation and Modelling @ 34% 08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080111 Virtual Reality and Related Simulation @ 33% 08 INFORMATION AND COMPUTING SCIENCES > 0806 Information Systems > 080602 Computer-Human Interaction @ 33%
SEO Codes:	92 HEALTH > 9205 Specific Population Health (excl. Indigenous Health) > 920504 Occupational Health @ 33% 91 ECONOMIC FRAMEWORK > 9105 Measurement Standards and Calibration Services > 910599 Measurement Standards and Calibration Services not elsewhere classified @ 34% 92 HEALTH > 9204 Public Health (excl. Specific Population Health) > 920407 Health Protection and/or Disaster Response @ 33%
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