Abstract
The study used 3D body scanning technology to collect 3D body models and body size data of female college students aged 18–23 years old from Hunan Province, China. The study aims to optimize the fit of clothing, and divides the knowledge of human body shape into top-level ontologies, domain-task ontologies and application ontologies based on the basic level of knowledge ontologies, and develops software to evaluate the fit of skirts. The software was developed to evaluate the fit of skirts. The main functions of the software are 3D body shape knowledge module, body shape classification module and clothing fit evaluation module. Through this software, the current design problem that knowledge of human body shape ontologies and clothing fit evaluation knowledge system is fragmented can be improved to a certain extent, which will help designers to better understand the knowledge of human body size and body shape, provide designers with auxiliary tools for clothing design, and enhance the fit of innovative clothing design.
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Acknowledgments
This paper is a part of MOE (Ministry of Education in China) Project of Humanities and Social Sciences entitled Research on Scenario Service Design of Personal Data in Mobile Internet (17YJCZH275) and one of the phases fruits of project of Hunan Provincial Department of Education, which title is Research and Application of Aging Design of Intelligent Wearable Clothing Based on 3D Human Body Data Acquisition (20K077).
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Tan, Z., Yan, T., Zhou, Y., Zhu, Y. (2022). Design and Application of Skirt Fit Software for Human Body Ontology Knowledge. In: Duffy, V.G. (eds) Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Anthropometry, Human Behavior, and Communication. HCII 2022. Lecture Notes in Computer Science, vol 13319. Springer, Cham. https://doi.org/10.1007/978-3-031-05890-5_13
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DOI: https://doi.org/10.1007/978-3-031-05890-5_13
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