Brain-computer integrated intelligent control method and technology of unmanned aerial vehicle

Abstract

The invention discloses a brain-computer integrated intelligent control method and technology of an unmanned aerial vehicle. A brain-computer integrated system comprises a visual stimulation inductionmodule, a real-time picture back-transmission module, an electroencephalogram collecting device, multiple feature EEG processing modules, a brain-computer communication module, the unmanned aerial vehicle and an airborne single-chip computer module. No body gesture or language is needed by an experimental worker to achieve the control of multiple motions of the unmanned aerial vehicle. The EEG ofthe experimental worker is collected by using an electroencephalogram detecting device, electroencephalogram features comprise steady-state visual stimulation and imaging motions, and the steady-state visual stimulation and the imaging motions are switched by blinking eyes. The EEG is converted into a control instruction after preprocessing, feature extraction and classifying recognizing are conducted on the EEG in a processing module, the control instruction is transmitted to the airborne single-chip computer module of the unmanned aerial vehicle through a communication system, the flight situation of the unmanned aerial vehicle is observed by the experimental worker through a global camera, flight routes are planned autonomously, and the unmanned aerial vehicle is finally controlled tocomplete preset flight missions. By means of the multi-mode brain-computer integrated system, flexible control of the unmanned aerial vehicle by a brain is achieved, and the defects of existing unmanned aerial control manners are effectively compensated.

Description

technical field [0001] The invention belongs to the field of brain-computer integration research, and relates to a brain-computer integration intelligent control method and technology for an unmanned aerial vehicle. Background technique [0002] The novel UAV intelligent control system disclosed by the present invention takes brain-computer integration technology as the core, enabling operators to accurately control the UAV to complete complex flight tasks only through brain thinking. Brain-computer integration is an interdisciplinary field of neuroscience and engineering science. It is a brain-computer communication system that does not rely on the normal output pathways composed of peripheral nerves and muscle tissues such as human limbs. It records brain scalp signals in real time, And analyze the electroencephalography (EEG) signal to decode the brain's intention to directly control the external device. This technology has a wide range of applications in military fields...

AI Technical Summary

Problems solved by technology

The brain control of drones is different from the control of simple mechanical systems such as keyboard input and mechanical arms. If the system response is delayed by 1 second, the drone is in danger of colliding with the aircraft and falling.

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