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This study introduces an intuitive drone control system using web technology and hand gestures. It simplifies remote operation for users without professional knowledge, enhancing accessibility.

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Area of Science:

  • Robotics and Human-Computer Interaction
  • Web Technologies and Drone Control

Background:

  • Traditional drone operation often requires specialized knowledge and complex interfaces.
  • There is a need for more intuitive and accessible human-computer interaction methods for drone control.

Purpose of the Study:

  • To develop a novel drone control prototype utilizing web technology and hand gesture recognition.
  • To create an intuitive and user-friendly interface for remote drone operation.
  • To explore both hand gesture and web-based automatic control modes.

Main Methods:

  • Implementation of a quadrotor drone system with a computer vision-based hand gesture sensor.
  • Development of a web-based user interface for command translation and data transmission via WiFi.
  • Integration of hand gesture recognition for uplink control commands and video downlink.

Main Results:

  • The system effectively translates hand gestures into drone control commands.
  • Experimental results validated control accuracy and low operation latency.
  • No additional software installation is required for the computer interface.

Conclusions:

  • The proposed web-based hand gesture control system offers an intuitive and efficient method for drone operation.
  • This technology lowers the barrier to entry for drone piloting, enabling use in GPS-denied environments or by novice operators.
  • The system demonstrates significant potential for broader drone application accessibility.