Modelos musculares simplificados para la simulación del movimiento humano

Abstract

Several approaches are currently employed to address the predictive simulation of human motion, having in common their high computational demand. Muscle modeling seems to be an essential ingredient to provide human likeness to the obtained movements, at least for some activities, but it increases even more the computational load. This thesis studies the e ciency and accuracy yielded by several alternatives of muscle modeling in the forward-dynamics simulation of captured motions, as a representative method of the above mentioned computationally intensive approaches: four muscle models, the number of muscles, muscle torque generators, muscular synergies and look-up tables for musculotendon lengths and moment arms are considered and analyzed. These approaches will provide criteria on how to include the muscular component in human multibody models so that its e ect on the resulting motion is captured while keeping a reasonable computational cost. Gait and vertical jump are considered as examples of slow- and fast-dynamics motions, respectively