---
name: motion-capture-analyzer-bad2802fcd36
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


---
Source attribution: a5c-ai
Original project: https://github.com/a5c-ai/babysitter
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Dave AI.

## Upstream license notice

MIT License

Copyright (c) 2026 Gabriel Moreira

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Dave AI resource metadata

Creator / publisher: a5c-ai
Original project: https://github.com/a5c-ai/babysitter
Attribution basis: Upstream repository explicitly recorded in package mirror path

Fields of work: Education & Research, Healthcare & Life Sciences
Roles: Clinical Research, Researcher
Specialties: Specialty not specified
Tools: Matlab, Opensim, Python, Visual3D, Optitrack Motive, Vicon Nexus
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: 97df3066ba77b1c24ea0a2dc4086edcbcbc306389942fabb85c2493b6c957263