... joint kinematics from DBR to be combined with the hip and ankle joint kinematics from motion capture marker positions. Static optimization was used to estimate knee ligament forces during walking, with the objective function of minimizing the sum of muscle activations squared. An initial validation...

... linkage actuated by 25 Hill-type muscle-tendon units (MTUs). Individual muscle forces were determined by combining gait data with two widely used computational methods—static optimization and computed muscle control (CMC)—available in opensim , an open-source musculoskeletal modeling and simulation...

...Mohammad S. Shourijeh; Benjamin J. Fregly Because of its simplicity, static optimization (SO) is frequently used to resolve the muscle redundancy problem (i.e., more muscles than degrees-of-freedom (DOF) in the human musculoskeletal system). However, SO minimizes antagonistic co-activation...

... simulation methods, namely static optimization (SO) with three different criteria and a computed muscle control (CMC) algorithm (hybrid approach combining forward and inverse dynamics). Twenty-four different models and fifty-five resultant dynamic simulation data sets were analyzed. The effects of model...

..., and reduced prediction sensitivity to uncertainties in muscle model parameter values. gait biomechanics electromyography static optimization instrumented implant in vivo knee loads musculoskeletal model Knowledge of subject-specific joint contact and muscle forces during activities...

...José Zariffa; John D. Steeves; Dinesh K. Pai Static optimization approaches to estimating muscle tensions rely on the assumption that the muscle activity pattern is in some sense optimal. However, in the case of individuals with a neuromuscular impairment, this assumption is likely not to hold true...