A Study on Choreography Strategies of Ethnic Folk Dance Movements in Southwest China Based on Graph Neural Networks

Ethnic folk dance in Southwest China is known for its unique regional characteristics and cultural background, and the optimization of its movement choreography strategy is especially crucial for the inheritance and development of this artistic influence.In this study, an optimized graph neural network model is used to choreograph the movements of folk dances in Southwest China.The model is equipped with multi-feature fusion, spatial modeling and temporal modeling modules, which can maximize the recognition performance of the graph neural network model.Based on the model, a framework for automatic generation of folk dance movements is designed, and the model is trained and validated using Laban-16 and Laban-48 dance movement datasets.The experimental results show that the method of this paper is well tested, and the loss value and accuracy convergence algebra of the training set and the test set are basically the same, reaching 0.25 and 96%, respectively.The lower limb motion recognition rate on Laban-16 dataset is improved by 5.21%~15.81%compared with the comparison model.Under the music of different rhythms, a variety of dance movements can be reasonably choreographed to, and the feasibility score of the model by experts is between 85 and 95, indicating that the model in this paper has practical value.