opensim-modeler

Solid

OpenSim musculoskeletal modeling skill for biomechanical simulation and analysis

AI & Automation 814 stars 53 forks Updated today MIT

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Quality Score: 95/100

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Skill Content

# OpenSim Modeler Skill ## Purpose The OpenSim Modeler Skill facilitates musculoskeletal modeling and simulation using OpenSim, supporting biomechanical analysis, device design, and clinical research applications. ## Capabilities - Model scaling to subject anthropometry - Inverse kinematics and dynamics - Static optimization - Computed muscle control - Joint reaction analysis - Custom model development - Prosthetic/orthotic integration - Muscle force estimation - Metabolic cost prediction - Sensitivity analysis - Model validation workflows ## Usage Guidelines ### When to Use - Creating subject-specific musculoskeletal models - Estimating muscle forces and joint loads - Evaluating prosthetic/orthotic designs - Supporting surgical planning ### Prerequisites - Motion capture data available - Subject anthropometric measurements - Base musculoskeletal model selected - Experimental markers defined ### Best Practices - Validate model scaling with experimental data - Assess inverse kinematics residuals - Verify physiological muscle activations - Document model modifications ## Process Integration This skill integrates with the following processes: - Gait Analysis and Musculoskeletal Modeling - Orthopedic Implant Biomechanical Testing - Clinical Study Design and Execution - Human Factors Engineering and Usability ## Dependencies - OpenSim software - MATLAB/Python scripting - Motion capture data - Musculoskeletal model libraries - Computational resources ## Configuration ...

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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