A. D. Koelewijn

A sensorimotor enhanced neuromusculoskeletal model for simulating postural control of upright standing

This paper introduces a neuromusculoskeletal model for simulating upright standing postural control using sensor feedback, showing it can replicate physiological joint movements and reactive balance behavior.

Neural Networks Estimate Muscle Force in Dynamic Conditions Better than Hill-type Muscle Models

This study compares neural networks and Hill-type muscle models for estimating muscle force, finding neural networks more accurate in dynamic conditions but less reliable for force-length and force-velocity relationships outside training data.

Change the direction: 3D optimal control simulation by directly tracking marker and ground reaction force data

This paper develops a method to reconstruct change of direction motions using optimal control simulations that directly track marker and ground reaction force data, showing improved marker accuracy compared to coordinate tracking.

Predictive Simulations of Gait with Exoskeletons that Alter Energetics

This study uses predictive gait simulations to explore how exoskeletons altering walking energetics affect step frequency and muscle coordination, finding that increasing virtual participants improves predictive accuracy.

Antagonistic Co-contraction Can Minimize Muscular Effort in Systems with Uncertainty

This study shows that muscular co-contraction can minimize effort in systems with uncertainty, and that controller architecture affects optimal trajectories.

A Solution Method for Predictive Simulations in a Stochastic Environment

The paper introduces a collocation method for predictive simulations of human movements in stochastic environments, showing that nonzero foot clearance is energetically optimal with increased clearance under higher noise.

Metabolic cost calculations of gait using musculoskeletal energy models, a comparison study

This paper compares seven metabolic energy expenditure models for gait using experimental data to assess their accuracy in predicting metabolic cost.