Hand Gestures-Based Smooth 3D Trajectories Computation Applied to Real-Time Drone Control by Tracking 2D Hand Landmarks

Umberto Cocca, Alessandro Giusti, Loris Roveda · 2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) · 2022

Robotic systems are increasingly being adopted for filming and photography purposes. In fact, by exploiting robots, it is possible to program complex motions, achieving high-quality videos and photographs. The contribution of the presented paper is an alternative approach for robot motion planning w.r.t. the joystick. Starting from a state-of-the-art hand tracking system, to detect 2D hand reference points, we built a pipeline to reconstruct 3D trajectories. To evaluate the proposed remote control approach, a captured trajectory is tested in a simulation environment to control the motion of a drone. In addition, experiments are provided using the DJI Ryze Tello drone to prove the feasibility of the approach in real conditions.

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