A visual evoked brain-computer interface method incorporating an asynchronous eye movement switch

Abstract

The invention relates to a visual evoked brain-computer interface method combined with an asynchronous eye movement switch, which comprises the following steps: firstly, an electrode is arranged and an eye movement meter is installed; the eye movement meter is calibrated; then, a double-layer structure is constructed: an asynchronous eye movement switch interface of an upper structure and a visualevoked brain-computer interface of a lower structure; Then the collected EEG waves are recognized. In the lower structure, the computer records the start and end time of stimulation synchronously. And then determine whether to end the task or not; After multiple identification tasks, close the program and end the task; The invention combines the quick and sensitive eye position positioning with the visual evoked brain-computer interface, utilizes the asynchronous eye movement switch to increase the comfort degree of the user, and reduces the fatigue and cognitive load to a certain extent.

Description

technical field [0001] The invention relates to the technical field of neural engineering and brain-computer interface in biomedical engineering, and in particular to a visually induced brain-computer interface method combined with an asynchronous eye movement switch. Background technique [0002] Brain-computer interface is a new type of human-computer interaction. Because it does not rely on human muscle tissue and peripheral nerve pathways, it enables direct information exchange and effective interaction between the brain and the external environment, so it has been widely used in medical rehabilitation and industrial control. widely used. Among them, the steady-state visually evoked brain-computer interface is a method of eliciting brain responses by gazing at specific frequency visual stimuli. It has the advantages of strong anti-interference ability, high information transmission rate, and can be induced by ordinary users without training. The most practical signal ty...

AI Technical Summary

Problems solved by technology

Asynchronous brain-computer interfaces are usually implemented in the form of "brain-computer switches". For example, using multiple modal brain responses as an asynchronous "brain-computer switch", the disadvantage is that the switch signal is of the same type as the task signal, which may easily cause errors in the asynchronous brain-computer interface. Trigger, reduce task accuracy

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