Study On Body Shape Analysis System Based On Personalized MTM

Development and innovation have been taken place in the industry of dress-making in the 21st century. Traditional made-to-measure is out of time. With the method of information technology, dress-making will be led to a better, more rapid, suitable and characterized period. The development of measurement equipments and personalized awareness of customers, researches on P-MTM has been blooming with great passion today. It is a condition with prerequisite of the realize of P-MTM that body shape analysis system should be constructed with rich enough analysis in details according to customer's body shape, which can promote higher satisfactory in dress from the customer's side.This paper is a sub-research on digitalized Garment focusing on body shape analysis system under the background of research on Body Generating Software based on P-MTM. It is aimed at the construction of body shape analysis system and fast, rich and valuable assessment of body shape for dress-making.First, an immune genetic algorithm method is proposed to solve the problem of reconstruction of human data. Via scientific verification, the calculation results are confirmed to national standards of GB/T 1335-1997 and "phantom" distribution. The constructed human database provides possibility of analysis on correlation. K-Means Clustering is introduced to classify body shapes which gives support to prove the importance of height and length in body shape analysis. After body shape factors analysis, it indicates that weight and fitness are very important to body shape. Moreover, from the side of dress-making theory, body shape features are defined, such as fitness, weight and partial three-dimensional contouring. Then, fuzzy expert system is used to made model of body shape analysis through rules pool, fuzzy logical inference engine. The assessment expresses comprehensive body shape, generating from human data.The results from this model will be more suitable during dress-making period and more helpful to later period of P-MTM. Lastly, design of this model is combined into software tools, .NET and SQL Server.