GCN-based learner movement feature network modeling for personalized training path planning and dynamic evaluation
Abstract Personalized training path planning has emerged as an active concern in intelligent sports education, yet many existing approaches struggle to capture the dependencies that link diverse movement features. This study develops a graph convolutional neural network (GCN) approach that models learner movement featu...