Swim-360 aims to help swimmers by combining video analysis and real-time biometric data for personalised insights.
SWIM-360 integrates video analysis with real-time sensor data, to offer a more precise performance assessment. In addition, SWIM-360 will implement an explainable AI to provide a more transparent and clear justification for the injury prediction and training recommendations.
SWIM-360 combines real-time video analysis with biometric sensor data to optimise stroke mechanics and identify potential strain patterns, delivering data-driven feedback that targets both improved performance and training safety.
SWIM-360 aims to make AI-powered analysis accessible to all swimmers, combining research excellence with practical application.
From November 2024 to October 2026.
As I watched my son fly off the blocks this morning and observed the other competitive swimmers
at the European Junior Championships in Samorin, it struck me again how invisible physics is to
the naked eye, and yet how central it is to every hundredth of a second that matters in
competitive swimming...
SWIM-360 was also present during the Aquatic Sports Association of Malta COOP Services 32nd
Easter International Meet 2025 📝🏊♀️ — not poolside with cameras, but in conversations. This
project looks at how feedback is shared between coaches and swimmers, and how we might use AI to
better support that process.
AI and Computer Vision Evening Event by the Department of AI and Institute of Digital Games,
featuring keynote speaker professor Ioannis Pitas on AI and Big Data Analytics for Natural
Disaster Management.