Stable state vision inducting brain-machine interface method based on two frequency stimulation of left and right view field

Abstract

A steady-state visual evoked brain-computer interface method is based on the stimulation of two frequencies of left and right visual fields, and relates to a visual evoked presentation method of a visual brain-computer interface. The brain-computer interface method is characterized in that four different targets are combined through two blinking frequencies by utilizing a principle of the crossing of the left and the right visual fields; and a correlational analysis method is used to identify which target is watched by a user after brain electrical acquisition equipment records a multi-brain electrical signal in the visual brain area. The equipment and the method of the invention comprise a recording mode of the brain electrical signal, lead selection and signal preprocessing, and a feature extraction method. The visual target presentation method of the invention can be realized through a screen display of a common computer, and the size, the brightness and even the color of the target can be controlled easily. Compared with other steady-state visual evoked brain-computer interfaces, the presentation method can increase the number of the targets under a condition that the usable frequencies are limited, thereby improving the brain-computer interaction ability.

Description

Steady-state visual evoked brain-computer interface method based on two frequency stimulations of left and right visual fields Technical field The present invention belongs to the technical field of human-computer interaction, which can help the disabled to operate external devices such as computers, and can also be used for new brain-computer interaction electronic entertainment. Background technique The brain-computer interface system is a communication system that does not require peripheral muscles and nerves to participate. It aims to establish a direct communication channel between the human brain and the peripheral world. By extracting the characteristics of the brain electrical signal, the recognized brain instructions Or the information is transferred to the controlled external device, and finally the brain directly controls the external device. EEG signals are usually obtained by non-invasive scalp EEG recording. Visual steady-state evoked potential is a signal ofte...

AI Technical Summary

Problems solved by technology

In order to make the brain-computer interface system more portable and practical, it is a good way to use a computer screen as a stimulus, but when using a computer screen as a target presentation method, due to the inherent refresh rate problem, the frequency of stimulating the steady-state visual evoked potential The range of options is small, making the number of target presentations limited

For disabled users, fewer objects mean an increased level of choice, which increases user fatigue and complexity of system menus

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