The application discloses an asynchronous
robot hybrid control method and
system based on
motor imagery electroencephalogram and electrooculogram, and the
system comprises three modules of
signal acquisition,
signal preprocessing and decoding and
robot control. First, the signals of a subject are collected through an electroencephalogram device, including electroencephalogram signals and electrooculogram signals, and the electrooculogram signals are added to enrich the control
instruction set of the
system. Then, the collected signals are processed, and the
processing is divided into two stages: the first stage is
signal preprocessing, and the original signals are normalized into the required form; the second stage is
signal decoding, including two branches of electroencephalogram signal recognition and electrooculogram signal recognition, and the recognition results are converted into
robot control commands. Finally, the robot device obtains the recognition results of the signals through a
wireless data receiving module, and then converts the recognition results into control commands to control the robot to make corresponding actions, and the feedback of the robot actions is used to guide the issuance of the next command, so that the comfort of human-computer interaction is improved.