Hybrid Graph Convolutional Networks for Skeleton-Based and EEG-Based Jumping Action Recognition
Naishi Feng,Fo Hu,Hong Wang,Ziqi Zhao,Naishi Feng,Fo Hu,Hong Wang,Ziqi Zhao
Kinematic information obtained directly from the skeletal model has been useful for jumping action recognition. Current research focuses on dynamic analysis based on the video stream. Although skeletal data can accurately capture the high-level information of human action, it ignores the brain’s pre-execution command information, which plays a crucial role in identifying jumping action. Therefore,...
