Ski Jump Analysis and Training Tool
Problem statement
Blackhawk Ski Club’s coaches and athletes need a way to automatically and reliably analyze ski jumps and receive feedback, as current coaching depends on subjective and real-time observation that is neither scalable nor consistent. In ski jumping, subtle differences in body position, flexibility, and strength during the in-run, takeoff, flight, and landing can significantly impact jump distance and safety. However, coaches are limited by their availability to observe every detail in real time and provide individualized feedback to all athletes during a training session. This creates a gap in skill development, particularly for younger athletes who are still building foundational technique and would benefit most from timely insights. An automated system or app that can track jump kinematics, analyze form, and offer data-driven suggestions could dramatically enhance the training experience. This system would be able to assess video of a ski jumper and compare that ski jumper’s form and performance to an idealized form and performance determined by underlying laws of physics and projectile motion principles. While there is variability in the advice from different coaches, the laws of physics stay consistent for everyone. Such a tool would not only improve performance but also help reduce injury risk by identifying potentially dangerous technique issues early. Ultimately, this solution would make high-quality coaching feedback more accurate and accessible, accelerate athlete development, and support the long-term growth and competitiveness of ski jumping not just for the Blackhawk Ski Club in Madison, but for ski jumpers throughout the world.
Team members
Easton Evenstad – accountant
Micah Herbrich – admin
Ryan Merlet – communicator
Dylan Teig – facilitator
Client
Azam Ahmed
UW – Department of Neurosurgery