Artificial intelligence and advanced data analysis are enhancing Swedish elite golf.

The project will conduct analyses using AI to identify complex patterns in golfers' training and competition routines. The aim is to improve player performance on the course, with a particular focus on the upcoming Olympic Games.

Methods of advanced data analysis supporting decision-making will be applied to data from several Swedish elite golfers. A specific challenge involves studying how coaches' expertise can be integrated into data-driven techniques such as clustering and deep machine learning. The goal is to develop methods suitable for performance enhancement in other competitive sports.

In a parallel project at the School of Engineering Science, methods of virtual modelling and simulation will form the basis of biomechanical analyses.

The project is jointly funded by the University of Skövde and the Swedish Olympic Committee (SOK).