Performance Anomaly Detection in Athletics: A Benchmarking System with Visual Analytics

This research presents a system for detecting suspicious performance patterns in athletics, using 1.6 million performances and eight methods including machine learning and trajectory analysis. It aims to complement traditional anti-doping programs by identifying potential violations through data analysis, with trajectory-based methods proving most effective.