Intelligent Data Collection and Aesthetic Activities-From the Aesthetic Perspective of Art Works

In order to improve the aesthetic quality of art works and enhance students’ aesthetic level, this paper takes intelligent art as the basic perspective to realize accurate evaluation of aesthetic feeling of art works, adopts aesthetic feeling evaluation constraint index analysis and statistical feature quantitative evaluation method to sample the features of aesthetic feeling evaluation of art works, and uses multi-factor grading treatment to determine the constraint factors of aesthetic feeling of art works. Through the framework of intelligent dataset art works simulation system, this paper constructs the system, and combines fuzzy algorithm to construct the art works appreciation system. Moreover, this paper collects a large number of fuzzy data sets through art works, feeds back information to art works, and realizes the appreciation of art works combining reality with reality. From the experimental results, we can see that the system proposed in this paper can effectively improve the appreciation effect of art works and enhance students’ aesthetic level through intelligent data collection.