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Development Of An Intelligent Knowledge-Based Personalized Garment Design Support System For People With Atypical Morphology

Posted on:2019-10-25Degree:DoctorType:Dissertation
Country:ChinaCandidate:Y HongFull Text:PDF
GTID:1361330545973284Subject:Costume design and engineering
Abstract/Summary:PDF Full Text Request
This PhD research project aims at developing a new Personalized Garment Design Support System(PGDSS)for People with Atypical Morphology(PWAM).This system enables to quickly develop garments adapted to their special Functional,Expressive and Aesthetic(FEA)needs and atypical morphologies.In order to realize the proposed PGDSS,two subsystems are developed:the Personalized Fashion Recommendation System(PFRS)and Virtual 3D-to-2D Garment Prototyping Platform(VGPP).The PFRS is developed for selecting the most relevant personalized garment design solutions in terms of color,fabric and style,while the VGPP enables designers to quickly create virtual garments according to their design criteria(product profiles)and visualize them in order to adjust design parameters.The proposed PGDSS can be fully used online.It can be further connected to a garment e-shopping platform or an offline automatic garment manufacturing system.The proposed Personalized Fashion Recommendation System(PFRS)has been developed by establishing a series of models for quantitatively assessing consumer's needs and characterizing relations between the spaces of consumer's needs and design parameters.Different knowledge acquisition and intelligent computational tools have been used to realize this system.These tools include sensory evaluation,fuzzy modeling,machine learning etc.A personalized garment product profile is generated by using this system.The proposed Virtual 3D-to-2D Garment Prototyping Platform(VGPP)has been developed in order to generate personalized garment patterns based on the product profile offered by the PFRS.New digital 3D technologies have been used to customize a garment for any atypical morphology.The 2D patterns and 3D garments will be provided according to the consumer's requirements.The design factors for personalized garments have been identified and analyzed in my PhD research.The new products generated by the proposed system will meet the specific demands and functions imposed by people with atypical morphology in terms of ergonomics,biophysics,psychology,aesthetics,comfort and convenience.The proposed system is able to offer more personalized designs at low-cost level for highly customized garment market.
Keywords/Search Tags:Atypical Morphology, Artificial Intelligence, Sensory Evaluation, Machine Learning, Virtual Reality, Knowledge-Based System, 3D Prototyping, Recommendation System
PDF Full Text Request
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