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gaitmap 2.5.0 documentation - Home

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  • Getting Started
  • User Guide
  • API Reference
  • Examples
  • Development
    • Changelog
  • GitHub

Site Navigation

  • Getting Started
  • User Guide
  • API Reference
  • Examples
  • Development
    • Changelog
  • GitHub

Section Navigation

  • Full pipelines
    • MaD DiGait Pipeline
  • Preprocessing
    • Manual Sensor Alignment
    • Automatic sensor alignment
    • Automatic sensor alignment (detailed)
  • Gait Detection
    • Ullrich gait sequence detection
  • Stride Segmentation
    • BarthDtw stride segmentation
    • Constrained BarthDtw stride segmentation
    • Stride segmentation with Regions of Interest
    • HMM stride segmentation - Prediction with pre-trained model
    • SegmentationModel Training
    • BarthDtw stride segmentation with Custom Template
  • Event Detection
    • Herzer event detection
    • Rampp event detection
  • Trajectory Reconstruction
    • Stride Level Trajectory reconstruction
    • Region Level Trajectory reconstruction
    • ZUPT Dependency of the Trajectory Estimation
    • Advanced Kalman Filter Usage
  • Parameter Calculations
    • Temporal parameters calculation
    • Spatial parameters calculation
  • Datasets and Pipelines
    • Grid Search optimal Algorithm Parameter
    • Optimizable Pipelines
    • Cross Validation
    • Custom Dataset
    • GridSearchCV
  • Advanced Features
    • Running multiple pipelines in parallel
    • Export Algorithms to JSON
    • Caching algorithm outputs
  • Generic Algorithm
    • BaseDtw simple segmentation
  • Examples
  • Preprocessing

Preprocessing#

Examples that demonstrate the recommended preprocessing steps for typical gait analysis tasks.

Manual Sensor Alignment

Manual Sensor Alignment

Manual Sensor Alignment
Automatic sensor alignment

Automatic sensor alignment

Automatic sensor alignment
Automatic sensor alignment (detailed)

Automatic sensor alignment (detailed)

Automatic sensor alignment (detailed)
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