Abstract
The existing clothing design model lacks the screening link of the human body part index, and the output clothing data are affected by the high correlation coefficient, resulting in large matching errors. Therefore, based on the analysis of human body shape, a management model of matching degree of human body shape and clothing design based on big data is constructed. After processing with big data methods, human body characteristic data used signals as the input layer of a neural network model and the matching degree management model of human body shape and fashion design. The simulation results show that the built-up model has a matching error of less than 5%, which can effectively improve the matching of human body shape and clothing design.
Highlights
All functions would be fully displayed on the human body
Body posture is the theoretical basis of garment style composition, and garment style composition is the ultimate result of showing the smart charm of body posture
With the increasing demand of personalized clothing design, quickly matching fashion design with human body shape is a beneficial attempt of big data technology and neural network algorithm in the clothing industry. is intelligent fashion design solution can quickly meet the fashion needs of customers [4,5,6]
Summary
All functions would be fully displayed on the human body. Based on this, the human body’s posture and clothing style composition are complementary and integrated, and they cannot be designed separately [1,2,3]. With the increasing demand of personalized clothing design, quickly matching fashion design with human body shape is a beneficial attempt of big data technology and neural network algorithm in the clothing industry. Wang et al [8] analyzed the apparel style composition under different timing of BP neural network integration and discussed the application of neural network technology in the apparel industry, including material usage calculation, size recommendation, comfort analysis, etc. Erefore, based on the study of human body shape, the human body index data are collected by the big data method, and the neural network integration method is used to construct the matching degree management model of human body shape and clothing design, so as to realize the automatic mapping matching between human body and clothing design and lay a technical foundation for the mass customization and tailoring of clothing
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