Rock Climbing Biomechanics
Spring 2024
— Biomechanics · Computer Vision · Modeling —
For my undergraduate thesis, I investigated how body positioning affects the forces required during rock climbing. I filmed climbers completing routes in an indoor climbing gym and used MediaPipe Pose Landmark Detection to extract key body positions during advancing movements. I then developed a 2D static equilibrium model to estimate the forces at each limb in contact with the wall and analyze how changes in a climber’s center of mass affected the required arm forces. Using this model, I explored body positions that could reduce upper-body loading and investigated the relationship between estimated arm force and route difficulty. The results demonstrated how motion analysis and biomechanical modeling can be used to quantitatively evaluate climbing technique.
Pose Detection on Advancing Move
Force Distribution in Optimal Position
Maximum Arm Force Across Ratings