5 Feature Extraction and Selection

How do you turn a stream of noisy data into something a computer can chew on?

• 5.1 Introduction
• 5.2 Getting a clean signal
• 5.3 Feature extraction and validation
  • 5.3.1 Validation methodology
  • 5.3.2 Distance, energy and time
    • Principle
    • Results
    • Discussion
  • 5.3.3 Bounding boxes
    • Principle
    • Results
    • Discussion
  • 5.3.4 Positional histograms
    • Principle
    • Results
    • Discussion
  • 5.3.5 Rotation and finger position histograms
    • Principle
    • Results
    • Discussion
  • 5.3.6 Synthesised histograms
    • Principle
    • Results
    • Discussion
  • 5.3.7 Octant count
    • Principle
    • Results
    • Conclusion
  • 5.3.8 Simple time division
    • Principle
    • Results
    • Discussion
  • 5.3.9 Using synthesised features with time-division
    • Principle
    • Results
    • Discussion
  • 5.3.10 Other approaches considered but untested