Motion capture data processing and analysis skill for gait analysis and biomechanical studies
Scanned 9/2/2026
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npx -y skills add a5c-ai/babysitter --skill motion-capture-analyzer --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: motion-capture-analyzer
description: Motion capture data processing and analysis skill for gait analysis and biomechanical studies
allowed-tools:
- Read
- Write
- Glob
- Grep
- Edit
- Bash
metadata:
specialization: biomedical-engineering
domain: science
category: Biomechanics and Structural Analysis
skill-id: BME-SK-014
graph:
domains: [domain:biomedical-engineering]
skillAreas: [skill-area:sensor-fusion, skill-area:statistical-analysis, skill-area:data-analysis]
workflows: [workflow:experiment-design, workflow:peer-review-cycle]
roles: [role:biomedical-engineer, role:research-engineer]
---
# 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-trajectories
- force-plate
- EMG
- pressure-mapping
analysis-outputs:
- joint-angles
- joint-moments
- joint-powers
- spatiotemporal
filtering:
- butterworth
- spline
- moving-average
```
## Output Artifacts
- Processed marker trajectories
- Joint kinematics
- Kinetic data
- Spatiotemporal parameters
- Gait reports
- Normative comparisons
- Statistical analysis results
- Visualization plots
## Quality Criteria
- Marker tracking gaps minimized
- Filtering parameters appropriate
- Model scaling accurate
- Results validated against norms
- Statistical analysis rigorous
- Documentation supports clinical interpretation

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