Abstract: A lower limb rehabilitation system based on augmented reality and a brain computer interface includes a display, a plurality of motion sensors, a brain wave monitor, and an analysis platform. The display is configured to receive and play a virtual scene video to guide a user to perform gait rehabilitation training. The plurality of motion sensors is configured to sense gait data. The brain wave monitor is configured to record an electroencephalogram signal by detecting an electric current change in a brain wave of the user. The analysis platform is configured to compare the gait data with the virtual scene video to determine the accuracy of footsteps of the user and provide feedback. The analysis platform inputs the electroencephalogram signal to a machine learning model to quantify the electroencephalogram signal into an index value representing a lower limb motor function of the user.

Abstract: A control system includes at least one guiding device including a long range guiding water jet generator having a plurality of first nozzles each projecting a jet of water upwardly and a first illumination apparatus projecting a plurality of beams of light upwardly each in concert with the jet of water projected from each of the first nozzles so as to guide the flight vehicle along a predetermined direction when the flight vehicle is located at a longer distance relative to the guiding device and a short range guiding water jet generator having a plurality of second nozzles each projecting a jet of water upwardly and a second illumination apparatus projecting a plurality of beams of light upwardly each in concert with the jet of water projected from each of the second nozzles so as to guide the flight vehicle along the predetermined direction when the flight vehicle is located at a shorter distance relative to the guiding device.