BCI-based aircraft control system

Abstract

The invention discloses a BCI-based aircraft control system including an EEG acquisition device, a portable EEG signal processing controller and a four-rotor aircraft. The EEG acquisition device includes an open-source brain wave device and a serial communication module. When a user issues a command, the EEG signal is transmitted to the portable EEG signal processing controller. The portable EEG signal processing controller includes a Linux embedded processor and a wireless communication module, when the Linux embedded processor receives the EEG signal and identifies the corresponding instruction, the instruction is sent to the four-rotor aircraft via the wireless transmission module. The four-rotor aircraft is equipped with a flight controller and attitude sensors, and the flight controller receives the corresponding construction through the wireless port and controls the aircraft to generate the specified action and the corrections is carried out according to the feedback attitude of the attitude sensors. The system is suitable for aerial photography, rescue, entertainment and other application scenes, and is helpful for simplify the flight control of the four-rotor aircraft and reduce the accidental crash.

Description

technical field [0001] The invention relates to the technical field of an EEG signal acquisition and analysis system and a quadrotor unmanned aerial vehicle control system, in particular to a BCI-based aircraft control system. Background technique [0002] Brain-computer interface (BCI) is a kind of human-computer interface developed in recent years. A system that communicates directly with the outside world (computer or other external device). The emergence of BCI technology has made it possible to use brain signals to directly control the external environment. To achieve BCI, there are three necessary conditions: first, there must be a signal that can reliably reflect the brain's thinking; second, this signal can be collected in real time and quickly; third, this signal has a clear classification. The human brain signals currently available for BCI include: EEG (electroencephalogram), MEG (magnetoencephalogram) and fMRI (functional nuclear magnetic resonance image). The...

AI Technical Summary

Problems solved by technology

However, due to its complex structure, unstable flight status and sensitive response to remote control, the overall control of quadrotor aircraft is relatively difficult.

Its main limitation is that for a quadrotor aircraft in flight, its flight attitude is jointly controlled by the outputs of the four channels of throttle, heading, pitch, and roll in the remote controller. Great changes, improper operation can easily cause a crash

Images