Development and Applications of Gesture-Controlled Drones: Advances in Hand Gesture Recognition for Aerial Navigation

This paper explores the feasibility of using hand gestures to control drones instead of traditional joystick control methods. As drones become more popular and accessible, the need for a more intuitive and simple control method increases. The paper analyses existing technologies and evaluates different methods of gesture control, using open-source computer vision libraries to track the user's hand and map the hand gestures to the controls of the drone. The paper also identifies limitations and challenges in implementing gesture control for drones and proposes solutions to improve its effectiveness. The system allows users to control the drone's movement in three axes, as well as raw movement, landing, and an emergency stop gesture. The paper concludes that gesture-based drone control can provide an alternative and more accessible control method for drones.