Interactive Drone Control with Gesture and Posture on the Edge Computing Platform

This paper designs a system that combines sensor and multiple neural network models to achieve the function of interactive drones, such as user tracking, gesture and posture control of the drone, and emergency safety protection. To run on the edge computing platform, Jetson Nano, and control the drone, the neural network models such as object detection, face recognition, and gesture recognition were optimized. The drone could be controlled by the user's gestures and postures successfully.