Biomechanical Modeling

Lead: Dr. Scott Delp

Biomechanical models, which represent the physics and physiology of human movement, allow us to extract mechanistic insight from messy and heterogeneous movement data, and to make predictions in domains where data are unavailable (e.g., predicting the response to a future surgery).

We will create novel, widely disseminated tools to automatically generate subject-specific musculoskeletal models and simulations that optimally fit experimental data, and also develop new controllers that can synthesize realistic human motion for unmeasured conditions, such as in the future surgery scenario. The results will accelerate research in mobility and rehabilitation, as well as neuroscience, robotics, and ergonomics.