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Three-Dimensional Force System:Problem Solving

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Two-Dimensional Force System: Problem Solving

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Related Experiment Video

Updated: Mar 1, 2026

Sit-to-stand-and-walk from 120% Knee Height: A Novel Approach to Assess Dynamic Postural Control Independent of Lead-limb

Sit-to-stand-and-walk from 120% Knee Height: A Novel Approach to Assess Dynamic Postural Control Independent of Lead-limb

Published on: August 30, 2016

Three-dimensional data-tracking dynamic optimization simulations of human locomotion generated by direct collocation.

Yi-Chung Lin¹, Marcus G Pandy¹

¹Department of Mechanical Engineering, University of Melbourne, Victoria 3010, Australia.

Journal of Biomechanics

|June 7, 2017

Summary

This summary is machine-generated.

This study successfully simulated human locomotion using a detailed neuromusculoskeletal model and dynamic optimization. The method accurately reproduces movement data and muscle activity, offering a tool for predictive simulations.

Keywords:

CMC Gait Musculoskeletal model OpenSim Running Tracking Walking

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Sit-to-stand-and-walk from 120% Knee Height: A Novel Approach to Assess Dynamic Postural Control Independent of Lead-limb

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Area of Science:

Biomechanics
Computational modeling
Human locomotion analysis

Background:

Accurate simulation of human locomotion is crucial for understanding movement biomechanics.
Previous dynamic optimization methods faced challenges in detailed, full-body simulations.

Purpose of the Study:

To perform full-body 3D dynamic optimization simulations of human locomotion.
To drive a neuromusculoskeletal model using in vivo kinematic and ground reaction force measurements.

Main Methods:

Utilized a 12-segment, 21-degree-of-freedom neuromusculoskeletal model with 66 muscle-tendon units.
Employed direct collocation via an OpenSim-MATLAB interface for data-tracking dynamic optimization.
Simulated foot-ground interaction using contact spheres and minimized muscle activations squared.

Main Results:

Achieved good agreement between model-computed kinematics/forces and experimental data.
Calculated muscle excitation patterns correlated well with measured electromyography (EMG) activity.
Demonstrated efficient computation times for both walking and running simulations.

Conclusions:

The direct collocation method is feasible for detailed neuromusculoskeletal models in 3D locomotion analysis.
This approach accurately and efficiently generates data-tracking dynamic optimization simulations.
The method provides a viable tool for creating initial guesses for predictive movement simulations.