opensim-modeler
OpenSim musculoskeletal modeling skill for biomechanical simulation and analysis
What this skill does
# 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
```yaml
opensim-modeler:
model-types:
- lower-extremity
- upper-extremity
- full-body
- spine
analysis-tools:
- inverse-kinematics
- inverse-dynamics
- static-optimization
- CMC
- joint-reaction
output-variables:
- muscle-forces
- joint-moments
- joint-reactions
- metabolic-cost
```
## Output Artifacts
- Scaled musculoskeletal models
- Kinematics results
- Muscle force estimates
- Joint reaction forces
- Simulation reports
- Validation metrics
- Sensitivity analysis results
- Visualization files
## Quality Criteria
- Model scaling matches subject anthropometry
- Inverse kinematics residuals acceptable
- Muscle activations physiologically plausible
- Joint reactions validated where possible
- Results reproducible
- Documentation complete
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