motion-capture-analyzer

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Motion capture data processing and analysis skill for gait analysis and biomechanical studies

AI & Automation 814 stars 53 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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