Novel technique to estimate spring-mass parameters in running using nonlinear regression

Estimation of spring-mass parameters in running (i.e., leg stiffness) relies on geometric assumptions of a runner’s anthropometry and dynamics. A method is presented that estimates leg stiffness, touchdown angle, and leg length from a vertical ground reaction force recording using nonlinear regression without requiring anthropometric assumptions or visual marker systems.