| With increased works, men's wears have more individuation, variety and leisure, thus the exploitation of fashion materials and fashion design become diversiform in order to meet the markets and customers'needs. Traditional pants' design is lack of variety and comfortability. Comfortable pants are short of beauty, and beautiful pants cannot be worn comfortably. This study tries to analyze the relationship between beauty and comfortability based on eigenvalue. Through market survey, this study focuses on researching women fitting low-waist pants which are favoured by public customers. With the methods of basically theoretical research, experimental analysis and data modeling, this study analyze both beauty and comfortability. The main points is as follows,1,this study determines to research women fitting low-waist pants and use fibre with cotton and 3% polyurethane based on market survey of women pants' styles and fibres. Referring to presently women pants'research, this study confirms basic pattern, size, quantitative and variable with repeated experiments. Quantitative are the length, the waist, the hip, the width of front crotch, the width of back crotch, the front curve crotch and the back curve crotch. Variable are the leg width and the eigenvalue.2,Based on leg width and a, this study discusses the relationship between beauty and comfortability of women fitting low-waist pants, and confirms experimental project design and 15 pieces of pants. According to this project design, this study sets 7 indexes of static and beauty, and 5 indexes of dynamic and comfortability. It also contains static and dynamic dressing experiments and subjective and objective assessment experiments. Static and dynamic assessment experiments use image processing technology to extract eigenvalues form experimental photos. The indexes, getting from analyzing several eigenvalus, can objectively reflect the extent of beauty. Meanwhile, this study programs the objective assessment method which mentions above. It dramatically increases the speed of assessment and improves the accuracy.3,This study have effectiveness analysis of subjective valuators, correlation analysis of subjectively and objectively experimental data and cluster analysis; makes seven mathematic models a static and beauty assessment model, dynamitic and a comfortability assessment modes and statically and dynamically comprehensive models with different weight. The dependent variables are women pants'beauty and comfortability; the independent variables are leg width and a. Furthermore, this study creates the design method of women pants'back part.4,Random a suit of sizes is chose from the range of the research. Experimental values are obtained through making a piece of pant and subject and objective assessment; theoretical values are obtained through calculating mathematic models. Comparing experimental values and theoretical values, the result is valid. Based on these models, this study designs an automatic generation pattern system. This system can quickly calculate the leg width to satisfy certain assessment value and through different models when the static is fix, and it directly and efficiently displays women pants'pattern.This study chooses and analyzes the factors which affect women fitting low-waist pants' beauty and comfortability, and finds out the extent of impact on beauty and comfortability by leg width and a. According to these, several models are made, women pant' automatic generation pattern system are designed, and a new women pant's design method is created. There are innovative points in this study. The disciplines and methods which get from this research enrich the women pants'design methods; improve the accuracy and speed of balanced beauty and comfortability; provide elastic fabric' women pants'design with an effective reference; provide industry to design relative women pant' design with a directly and efficiently applicative technology, therefore this study has academic value and practical significance. |
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