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This tutorial will take you through a typical workflow using OpenSim. You will use several of the OpenSim Tools to estimate the muscle forces of a human leg model during stance and swing phases of gait. In __40__ Part I: Leg Muscle Force Estimation in Swing, you will

• Visualize an Inverse Kinematics (IK) solution,
• Use the Excitation Editor to generate muscle excitations for a forward dynamic simulation,
• Use the Static Optimization Tool to estimate muscle excitations when muscle–tendon dynamics are ignored, and
• Use the Computed Muscle Control (CMC) Tool to estimate muscle excitations in a forward dynamic simulation.

In __40__ Part II: Leg Muscle Force Estimation in Stance, you will

• Use the Inverse Dynamics (ID) Tool to estimate joint torques and residual forces,
• Use the Residual Reduction Algorithm (RRA) to find model parameter values that reduce the residual forces predicted by the ID solution, and
• Use CMC to estimate muscle excitations in a forward dynamic simulation.

If you are completing this example as a laboratory exercise for a course on human movement, you will need to submit answers to the questions on the __40__ Questions: Leg Muscle Force Estimation page.

Acknowledgements

This example was created by Ajay Seth, Samuel Hamner, Kat Steele, Jennifer Hicks, Matt DeMers, Thomas Uchida, Daniel Jacobs, and Scott Delp. It was developed for teaching a workshop at the International Society of Biomechanics and refined for Prof. Delp's class at Stanford University.

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