Brain-Computer Interaction(BCI)using electroencephalogram directly,not dependent on the normal output channels(peripheral nerves and muscles),and external environmental communication and control technology of the human brain.Brain-computer interface allows the brain sciences,information science and control science interdisciplinary studies,has become the forefront of major international breakthrough.This technology is expected not only to strategic use for military purposes,patients with severe motion disabilities is also expected to provide a new communication channel and control,so as to improve their quality of life.This paper studies based on motor imagery(Motor imagery,MI)and steady-state visual evoked potentials(SSVEP)mix of EEG brain-machine interface systems.Design based on motor imagery asynchronous BCI EEG system,SSVEP based BCI systems based on motor imagery mixed with the SSVEP and BCI systems.Asynchronous BCI system based on motion picture EEG,EEG in motor imagery,compared different models of pre-processing and feature extraction and recognition method based on three-channel EEG asynchronous BCI system right hand motor imagery is effective.SSVEP BCI system using generally recognized canonical correlation analysis(CCA),studied the effects of different stimulus paradigms for pattern recognition and further control the-direction and speed of the robot design systems research,brain-computer interaction based on SSVEP is expected to apply ratings or fine ideas for controlling the robot’s direction and speed.Hybrid BCI systems based on motor imagery and SSVEP is designed for sport SSVEP and fusion of two different modes of EEG systems using serial,based on specific modes of EEG signals classification and recognition,the system can switch to another mode-based BCI systems.This multimodal brain-computer interface system is expected to provide some inspiration to develop and for brain-computer interfaces to certain basis for the practical application. |