motion-capture-analyzer
SolidMotion capture data processing and analysis skill for gait analysis and biomechanical studies
AI & Automation 1,160 stars
71 forks Updated today MIT
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Skill Content
# Motion Capture Analyzer Skill
## Purpose
The Motion Capture Analyzer Skill processes and analyzes motion capture data for gait analysis, biomechanical studies, and human factors research, supporting clinical evaluation and device validation.
## Capabilities
- Marker data processing and gap-filling
- Inverse kinematics calculation
- Ground reaction force analysis
- Joint angle computation
- Spatiotemporal parameter extraction
- Statistical parametric mapping
- Normative database comparison
- Gait cycle segmentation
- EMG synchronization
- Multi-trial averaging
- Variability analysis
## Usage Guidelines
### When to Use
- Processing motion capture data
- Conducting gait analysis studies
- Validating orthopedic devices
- Supporting clinical outcome assessments
### Prerequisites
- Motion capture data collected
- Marker protocol documented
- Calibration data available
- Subject anthropometry recorded
### Best Practices
- Verify marker tracking quality
- Apply appropriate filtering
- Use validated biomechanical models
- Compare with normative databases
## Process Integration
This skill integrates with the following processes:
- Gait Analysis and Musculoskeletal Modeling
- Human Factors Engineering and Usability
- Clinical Study Design and Execution
- Orthopedic Implant Biomechanical Testing
## Dependencies
- Vicon Nexus
- OptiTrack Motive
- Visual3D
- OpenSim
- MATLAB/Python processing tools
## Configuration
```yaml
motion-capture-analyzer:
data-types:
- marker...
Details
- Author
- a5c-ai
- Repository
- a5c-ai/babysitter
- Created
- 4 months ago
- Last Updated
- today
- Language
- JavaScript
- License
- MIT
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