Two-dimensional cursor control method and device for brain-computer interface

Abstract

The invention discloses a two-dimensional cursor control method and a two-dimensional cursor control device for a brain-computer interface. The method comprises that: a user generates a scalp electroencephalogram signal according to a working interface command in a display device; an electrode cap acquires the scalp electroencephalogram signal, and the scalp electroencephalogram signal is converted by an analog-to-digital conversion module and amplified by a signal amplifier and is transmitted to a computer; a signal processing module in the computer respectively preprocesses the transmitted signal, extracts characteristics of the transmitted signal and sorts the transmitted signal; and a control module in the computer converts the classified information into a control command to control a cursor to move on the display device. The device comprises the electrode cap, the signal amplifier, the computer and the display device; and a preprocessing module, a characteristic extraction module and a sorting algorithm module are respectively arranged inside the computer according to P300 information and motor imagery ERD / ERS information. The two-dimensional cursor control method and the two-dimensional cursor control device have the advantages of high control accuracy, good effect, stable work and capacity of realizing continuous two-dimensional motion of the cursor, and can be applied to motion control of a computer mouse, a wheel chair, a mechanical arm and the like.

Description

technical field [0001] The invention relates to the field of brain-computer interface, in particular to a method and device for controlling a two-dimensional cursor of a brain-computer interface. Background technique [0002] Brain computer interface (brain computer interface, BCI) refers to the direct communication and control channel established between the human brain and computers or other electronic devices, which does not depend on the normal neural output pathways of the brain (peripheral nervous system and muscle tissue) , is a brand-new human-computer interface method, and is a hot topic in brain function research in recent years. There are two types of brain-computer interfaces: implantable and non-implantable. The signal accuracy obtained by the implantable brain-computer interface is relatively high, the signal-to-noise ratio is high, and it is easy to analyze and process. However, craniotomy is required on the user, which is relatively dangerous. Currently, it ...

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Problems solved by technology

[0004] There are currently two methods to realize the two-dimensional cursor control of the brain-computer interface. One is to use steady-state visual evoked potentials or P300 information features, etc., to detect whether there is a corresponding EEG signal in the user's brain after receiving visual stimulation. Response features are used to make discrete classification decisions. This type of control method is time-consuming, the system is unresponsive, and continuous control cannot be realized, that is, the cursor cannot be moved from any point to another point; the other is to use mu and beta rhythms to extract two This method can realize continuous control, but it is difficult and requires users to go through a long time of training, so it is more difficult in the actual application process

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