Improved ski jumping performance thanks to multi-sensor feedback
A team of students from the Integrated Systems Laboratory (IIS) and the Center for Project-Based Learning D-ITET is working on a cutting-edge project to improve the performance and training of ski jumpers. The cross-federation effort involves the development and testing of a multi-sensor feedback system that can measure and analyse various aspects of a ski jump, such as the centre of gravity during the inrun, the trajectory and the edge angle.
In between, there was also time for discussions and meetings with the coaches and athletes to get suggestions and possible improvements for their new sensor system. For example, they had the opportunity to pitch their system design to world champion, Olympic gold medallist and ski jumping technologist Simon Ammann.