Design and implementation of a control system using hand tracking on model cars

Abstract

In recent years, hand-tracking technology, which enables real-time hand gesture detection and recognition, has rapidly advanced thanks to progress in computer vision, deep learning, and high-performance embedded hardware platforms. One promising application of this technology is remote vehicle control, particularly for RC cars and mobile robots, where it can serve as an alternative to traditional controllers such as joysticks, gamepads, or physical buttons, offering a more natural and intuitive interaction interface. The present research presents the design and implementation of a hand-tracking-based control system for remotely operated vehicles, especially model cars, mobile robots, and small autonomous vehicles, with the aim of moving toward practical applications in research-oriented remote control systems.