Our mission is to investigate how AI and technology can support coaches, athletes, and sports organisations, physical education teachers and students by providing data-driven insights, optimising training and learning regimens, and offering real-time feedback to enhance athletic performance, injury prevention and learning. At the same time, SIG 2 critically examines the ethical implications, data privacy concerns, and the evolving role of human expertise in AI-assisted coaching.
Key areas of focus include:
- Performance Analysis: Utilising AI to analyse player and team performance through video analysis, biomechanics, and data tracking.
- Personalised Coaching: Developing AI-driven models to tailor training plans to individual athletes' needs, goals, and progress.
- Injury Prevention & Rehabilitation: Exploring how AI can detect patterns that indicate potential injuries and aid in recovery strategies.
- Decision Support Systems: Enhancing tactical and strategic decision-making through AI-assisted insights and predictive analytics.
- Wearable Technologies & Monitoring: Leveraging AI-powered wearables to track performance metrics, workload, and recovery.
Members
Leader: Anders Farholm
Participants: Ole Sveen, Birgitte Nordahl Husebye, Harald Oseland, Steffen Tangen, Alexander Olsen, Gethin Thomas (Cardiff Met), Christian Thue Bjørndal (NIH - Norwegian School of Sport Science)