  In this work, we propose the use of a Natural User Interface (NUI) through
body gestures using the open source library OpenPose, looking for a more
dynamic and intuitive way to control a drone. For the implementation, we use
the Robotic Operative System (ROS) to control and manage the different
components of the project. Wrapped inside ROS, OpenPose (OP) processes the
video obtained in real-time by a commercial drone, allowing to obtain the
user's pose. Finally, the keypoints from OpenPose are obtained and translated,
using geometric constraints, to specify high-level commands to the drone.
Real-time experiments validate the full strategy.
