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Design of Customized Garments Towards Sustainable Fashion Using 3D Digital Simulation and Machine Learning Supported Human-Product Interactions by cieloambergax5 is a document available to read on EtoBox.
This research article presents a novel interactive design approach for customized garments aimed at promoting sustainable fashion through the use of machine learning techniques. The approach employs various models, including radial basis function artificial neural networks and genetic algorithms, to estimate body dimensions, generate design solutions, and enhance human-product interactions. The effectiveness of this method was validated through a case study on leisure pants customization, demonstrating its
- Author
- cieloambergax5
- Language
- EN