Multi-state brain-machine interface system

Abstract

The invention discloses a multi-state brain-machine interface system, which comprises a display module, an electroencephalogram collecting module, a state determining module and a processing module, wherein the display module is used for providing an SSEVP stimulation interface for a subject; the electroencephalogram collecting module is used for collecting the electroencephalogram signals of the subject; the state determining module is used for determining the located state of the currently generated electroencephalogram signals of the subject and determining the electroencephalogram signal generating state of the subject in the next time according to the electroencephalogram signals; the state includes an SSVEP state and a motion imaging state; the processing module is used for performing corresponding feature extraction and mold classification on the electroencephalogram signals according to the located state of the electroencephalogram signals to obtain the final recognition result, and obtaining a control instruction corresponding to the recognition result according to the preset corresponding relationship. The multi-state brain-machine interface system has the advantages that the number of recognizable targets is great; in addition, the recognition state number is increased; the flexibility and the practicability of the use by the subject are improved; the mental fatigue caused by the single mode is effectively avoided.

Description

technical field [0001] The invention relates to the technical field of brain-computer control, in particular to a polymorphic brain-computer interface system. Background technique [0002] With the rapid development of science and technology, brain computer interface (BCI, Brain Computer Interface) technology has been greatly developed. BCI technology refers to the direct connection pathway established between the human or animal brain and external equipment. At present, the EEG control technology based on visually evoked SSVEP (Steady-State Visual Evoked Potentials, Steady-State Visual Evoked Potentials) and the EEG control technology based on motor imagery have both been developed to a certain extent. However, the brain control technology based on SSVEP and motor imagery still has the following disadvantages: [0003] 1) The number of identifiable targets is small [0004] For SSVEP, limited by the low-pass filter effect of the brain and the response amplitude of EEG si...

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Problems solved by technology

[0005] 2) Single mode

[0006] In the prior art, either the SSCEP-based brain-computer interface system or the motor imagery-based brain-computer interface system, the continuous use of a single-mode brain-computer interface system will cause fatigue to the subjects

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