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Wi-Fi-based sensing for gesture control applications

Wi-Fi-based sensing for gesture control applications

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This chapter introduces a Wi-Fi-based sensing technology that is able to detect and recognize hand gestures with Wi-Fi signals. It covers the underlying theory and state-of-the-art sensor systems. It also demonstrates several gesture control applications with the additional use of machine learning and sensor fusion techniques.

Chapter Contents:

  • 3.1 Introduction
  • 3.2 Injection locking with a modulated signal
  • 3.2.1 Generalized locking equation
  • 3.2.2 Locking range and lock-in time
  • 3.2.3 Frequency pulling
  • 3.2.4 Synchronization
  • 3.2.5 Discrete-time analysis
  • 3.3 Passive radar using Wi-Fi/LTE signals
  • 3.3.1 System architecture
  • 3.3.2 Sensing principle
  • 3.3.3 System performance simulations and verification
  • 3.3.4 Experimental results
  • 3.4 Applications of Wi-Fi-based gesture sensing
  • 3.4.1 Gesture control
  • 3.4.2 Gesture games
  • 3.4.3 Gesture recognition with machine learning
  • 3.4.4 Sensor fusion with camera
  • 3.4.4.1 Vision-based hand gesture detection
  • 3.4.4.2 Sensor-fusion calibration scheme
  • 3.4.4.3 3D Hand trajectories
  • References

Inspec keywords: wireless LAN; sensor fusion; learning (artificial intelligence); wireless sensor networks; gesture recognition; telecommunication control

Other keywords: sensor fusion technique; hand gesture control applications; Wi-Fi-based sensing systems; machine learning; hand gesture detection; Wi-Fi signals; hand gesture recognition

Subjects: Local area networks; Control applications in data transmission; Wireless sensor networks; Image recognition; Control applications in radio and radar; Computer vision and image processing techniques; Computer communications; Knowledge engineering techniques

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