Specialized Crowd Garment Design Model Based on Information Technology

With the development of information technology in fashion design, traditional fashion design methods have been unable to follow the new requirements of the development of the garment industry, and new trends such as intelligent interconnection have gradually appeared in the garment industry. In order to help the different demands of the special crowd on clothing, this paper analyzes the clothing elements in the clothing design. Firstly, it analyzes the various elements of the special crowd’s clothing and their coupling state. By studying the relationship between several local features needed in the process of garment design for special people, mining the structural correlation and the degree of interaction between the clothing elements, using the correlation of different elements to find the design rules of the special crowd’s clothing, and finally realizing the correlation of design features at all levels. In this paper, the data mining model of clothing design is built by using the human parameters of firefighters. The experimental results show that the prediction method based on RBF has obvious nonlinear relationship between the feature parameters of human circumference and width and thickness.