libemg

Introduction:

  • Introduction

Modules:

  • Data
  • Filtering
  • Feature Extraction
  • Feature Selection
  • Classification
  • Evaluation

Tools:

  • Screen Guided Training
  • Supported Hardware
  • Visualizations

API:

  • Data Handling
  • Filtering
  • Feature Extraction
  • Feature Selection
  • Classification
  • Offline Evaluation Metrics
  • Utils
  • Streamers
  • Screen Guided Training

Offline Examples:

  • Simple Offline Analysis
  • Exploring Features
  • Optimizing Feature Params
  • Deep Learning

Online Examples:

  • Continuous Control (Snake)
  • Cross Platform Control (Unity)
  • Proportional Control (Mouse Interface)
  • Mixed Reality (Hololens 2)
  • Online Evaluation (Iso Fitts)
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