Synthetic Cheerleading Movement Dataset and Code for Spatiotemporal Performance Evaluation

This repository contains a synthetic cheerleading movement dataset and Python code supporting the study “Intelligent Evaluation of Cheerleading Movement Quality Based on Spatiotemporal Posture Modelling: Integrating Movement Coordination and Rhythm Synchronisation Feature Analysis.” The dataset contains 2,394 simulated six-performer cheerleading routines across novice, intermediate, and expert skill tiers. The accompanying files support reproducible generation and analysis of spatiotemporal kinematic features, inter-performer coordination, rhythm synchronisation, and machine-learning-based performance evaluation.