Research on the Analysis of Traditional Dance Performance Forms and Dance Movement Characteristics Based on Artificial Intelligence Technology

Abstract

Abstract This paper analyzes the performance forms and movement characteristics of traditional dances by using the method of movement feature extraction. We construct a dance key movement extraction system by merging optical flow computing and extracting the key movements of music and dance, which increases the efficiency of traditional dance movement analysis and reduces computational complexity. We can improve the similarity matching of human posture when using picture entropy computation. It uses an optical capture technique to record lively dancing motions. The results show that the accuracy of optical flow computation is 0.8 for distinguishing the form of the cultural lion performance, 0.85 for distinguishing the martial lion performance, 0.75 for distinguishing the aerial lion performance, and 0.6 for capturing the tumbling movement of the cultural lion and 0.7 for capturing the frolicking movement under the optical motion capture system.