Aircraft control system based on hybrid brain-computer interface and control method thereof

Abstract

The invention discloses an aircraft control system based on a hybrid brain-computer interface. The aircraft control system comprises a main control module, a wireless communication module and an aircraft module. The invention further discloses an aircraft control method based on the hybrid brain-computer interface. The aircraft control system and method have the beneficial effects that remote control over an aircraft can be achieved through the hybrid brain-computer interface, the hybrid brain-computer interface has the advantages of being high in accuracy, variability and control efficiency compared with a single brain-computer interface, the false alarm rate is reduced, and meanwhile the types and number of control instructions are greatly enriched; the aircraft is controlled through thebrain-computer interface, a traditional manual control mode is omitted, the problem that the two hands cannot execute multiple instructions at the same time can be solved through the manual control and brain control modes, the control sensitivity is improved, people with two-hand dyskinesia can be benefited simply through the brain control mode, and the system has wide application prospects in the fields of aircraft control and medical rehabilitation.

Description

technical field [0001] The invention belongs to the technical field of flight control, and in particular relates to an aircraft control system based on a hybrid brain-computer interface and also relates to an aircraft control method based on a hybrid brain-computer interface. Background technique [0002] The invention patent with the application number 201810580721.2 designs a portable brain-controlled drone system based on motor imagination, which controls the flight of the drone by collecting the EEG (brain electricity) signal generated by the user's imagination of his own limb movement, but the system Four types of motor imagery EEG features (left hand, right hand, left leg, and right leg) are extracted for UAV control. Compared with the two types of motor imagery EEG features (left hand and right hand) control scheme used in this system , the recognition accuracy rate is low and the misuse rate is also high. [0003] The invention patent with the application number 201...

AI Technical Summary

Problems solved by technology

[0006] The object of the present invention is to provide an aircraft control system based on a hybrid brain-computer interface and a control method thereof, so as to solve the problem of simply using EEG for aircraft control proposed in the above-mentioned background technology, whether it is based on motor imagery or based on SSVEP (steady-state visual evoked potential) or a combination of the two, both have certain limitations (SSVEP is likely to cause discomfort to the user's eyes; motor imagery cannot provide more control commands, and the accuracy rate will decrease with the increase of motor imagery categories. lower) problem

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