Unsupervised Javelin Motion Phase Segmentation

Built an unsupervised ASTGCN + SOT framework to automatically detect biomechanical phase transitions in elite javelin throws, eliminating the need for manual labeling. Achieved state-of-the-art performance and released a dataset of 211 professionally annotated videos covering key motion phases.