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This study introduces a portable computer vision hand-tracking system using a Leap Motion Controller 2 and single-board computer. The mobile solution offers natural interaction for various applications without external power.

Area of Science:

  • Computer Science
  • Human-Computer Interaction
  • Robotics

Background:

  • Computer vision (CV) hand tracking offers touchless interaction but traditional systems lack portability.
  • Stationary cameras and high computing demands limit CV systems in mobile applications.

Purpose of the Study:

  • To develop a portable, self-powered hand-tracking system for mobile applications.
  • To evaluate the system's performance and robustness under various conditions.

Main Methods:

  • A portable system was designed using a Leap Motion Controller 2 (LMC) mounted on the head.
  • A single-board computer (SBC) powered by a compact power bank controlled the system.
  • Experimental tests assessed robustness against variable lighting, power consumption, CPU usage, temperature, and frame rate.
Keywords:
Raspberry Pihand trackingleap motion controllerportable devicewearable device

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Main Results:

  • The system demonstrated robustness under variable lighting conditions.
  • Low power consumption and CPU usage were observed.
  • The system maintained a suitable frame rate for mobile applications.

Conclusions:

  • The developed portable hand-tracking system is lightweight and self-sufficient.
  • This solution is suitable for mobile applications requiring natural, touchless interaction.
  • The system overcomes limitations of traditional CV-based hand tracking.