Method of Dance Action Recognition Based on Path Optimization

This article aims to construct a dance action recognition model based on path optimization. Through trajectory analysis and feature extraction of dance movements, combined with path optimization algorithms to accurately describe dance movement paths, and combined with machine learning or deep learning models for action recognition. After extensive experimental data verification, the model can effectively improve the accuracy and efficiency of dance action recognition, providing a new and reliable solution for dance teaching, digital preservation of dance art, and generation of dance creativity.