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Abstract
This research aims to enhance the comprehension of 3D human modelling methodologies pertinent to the garment ergonomics field. Through a search and analysis of 442 literatures, this study found that, despite the utilisation of high-resolution scanning and sophisticated 3D software, generating the vast diversity of human physiques in models remains a formidable challenge, attributed to issues such as data discrepancies and loss of detail from self-occlusion. Furthermore, through an exhaustive literature survey, this research formulates a framework for juxtaposing various modelling methodologies, analysing their technical tenets, benefits, and limitations from a synergetic and iterative standpoint. Finally, the article underscores future research trajectories, emphasising the critical need to ameliorate model precision and operational efficiency, alongside the integration of garment ergonomics knowledge into 3D human modelling. This research furnishes valuable insights and directions for forthcoming studies, aiming to drive the progression of garment ergonomics towards a more genuine and efficient.
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