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Study on Body Shape Analysis and Intelligent Revision Based on Personalized MTM

Author: DongMiao
Tutor: HaoKuangRong
School: Donghua University
Course: Control Theory and Control Engineering
Keywords: P-MTM K-Means Clustering Fuzzy Neutral Network Expert System Special BodyShapes
CLC: TS941.2
Type: Master's thesis
Year: 2010
Downloads: 307
Quote: 6
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Abstract


With the development of garment industry and people’s increasingly requirements on personality and fitness, personalize clothing made-to-measure has won more and more attention. P-MTM put more emphasis on individual needs on the basis of E-MTM, namely, customize the personalized clothing with the use of modern technology according to the size of consumer and the required style(fabric, color, cut). Therefore, P-MTM is more in line with customers’ pursuit of individual needs nowadays.Body shape analysis is a key technological step in P-MTM. The result of body shape analysis will directly affect the design of apparel and clothing prototype model production. Accurate body shape analysis is an important guarantee for meeting the customer’s requirements on fitness. It is an necessary prerequisite for realizing P-MTM to start from the customer’s own body shapes, establish an efficient body shape analysis system, improve its efficiency and the degree of customers’ satisfaction.This paper is a sub-topic of digital apparel, it is a research on body shape analysis and intelligent revision undertaken in the background of the software system of human model automatic generation. The goal is to make an fast, accurate, sufficiency and meaningful evaluation of human body shape for the garment production chain. The main tasks are as follows:(1) Proposed a body shapes classification method based on cluster analysis, which allow companies to carry out size classification to specific target groups in different regions, of different ages, even have different occupations, laid the foundation for meeting the fitting needs of various human bodies.(2) Proposed a body shape recognition and garment size recommendation method based on fuzzy neural network expert knowledge, which can provide a decision-making reference for customers when buying clothing.(3) Proposed a special body shapes recognition method based on expert knowledge which can improve the current condition of judging through artificial measurement and the great reliability on experience, laid a foundation for the large-scale personalization made-to-measure clothing production.(4) Proposed the framework of garment size and style recommendation system which can provide an important reference for the business application of personalized apparel customize, and has important applicable value in China’s P-MTM research and extension in the future.

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CLC: > Industrial Technology > Light industry,handicrafts > Garment industry,footwear industry > Garment industry > Design, calculations,diagrams
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