Application of Behavioral Psychology in Clothing Design from The Perspective of Big Data

In order to improve the practical effect of clothing design, this paper applies the relevant theories of behavioral psychology to the design of fashion clothing, and improves the algorithm through the intelligent psychological identification algorithm to construct a quantitative identification system of behavioral psychology to help designers design more comprehensively. At the system level, the overall structure of the entire behavioral psychological ECG signal acquisition system is planned, and the Multisim software is used to simulate and verify whether each module of the front-end processing circuit achieves the expected effect according to the calculated parameters. In addition, on the basis of verifying the reliability of quantitative identification of behavioral psychology, the construction of intelligent clothing design system is carried out. Finally, this paper combines the simulation test and evaluation test to verify the effect of the system in this paper. Through the experimental research, it is verified that the clothing design system based on behavioral psychology proposed in this paper can effectively improve the clothing design effect and user experience.