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

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