Fencing

The projest was developed in collaboration with Nomtek. The project aims to develop a system that can detect the moves that athletes make in real-time. The system will be able to provide feedback on the athletes’ performance and help them improve their skills.

The system is able to detect the keypoints of the fencers and track them during the whole fight. Later the collected data is being processed by trained AI system to predict the moves of the fencers. In the end system gathers time series of moves and provides feedback to the fencers.

I was coordinating the labeling of the data and developing the machine learning models. Collaborating with Aleksandra Shelton we established a list of most common moves in fencing. Later I gathered all the annotated data, analyzed it and trained the models. In the end I prepared a simple front end to present the results to the fencers.