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Two-person cooperative P300-BCI target decision-making system and method

A P300-BCI and decision-making system technology, applied in the field of P300-BCI target decision-making system, can solve the problem of low decision-making efficiency, achieve the effect of improving work efficiency, decision-making efficiency, and self-care ability

Active Publication Date: 2021-03-02
NAT UNIV OF DEFENSE TECH
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention provides a P300-BCI target decision-making system and method in which two people cooperate, and its purpose is to solve the technical problem of low decision-making efficiency in the background technology

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  • Two-person cooperative P300-BCI target decision-making system and method

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Embodiment Construction

[0038] In order to make the technical problems, technical solutions and advantages to be solved by the present invention clearer, the following will describe in detail with reference to the drawings and specific embodiments.

[0039] Aiming at the existing problems, the present invention provides a two-person cooperative P300-BCI target decision-making system, including a brain-computer interface, a task recognition mechanism and a data processing system, the brain-computer interface is connected to the task recognition mechanism, and the The data processing system is connected with the task recognition mechanism, and the brain-computer interface can receive the EEG information of two subjects, and the task recognition mechanism is a 6×6 two-dimensional RC paradigm interface screen, such as image 3 For the stimulus interface shown in (a), each subject corresponds to a 6×6 two-dimensional RC paradigm interface screen, and the two 6×6 two-dimensional RC paradigm interface screen...

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Abstract

The invention provides a two-person cooperative P300-BCI target decision-making system and method. The two-person cooperative P300-BCI target decision-making system comprises a brain-computer interface, a task recognition mechanism and a data processing system. The brain-computer interface is connected with the task recognition mechanism, the data processing system is connected with the task recognition mechanism, the brain-computer interface can receive electroencephalogram information of two testees. Each testee correspondingly identifies whether a to-be-identified task appears on a row coordinate or a column coordinate of the N * N two-dimensional RC normal form interface screen, and the data processing system comprises a normal form test system and a testee electroencephalogram signaldata processing module, so that the row coordinate or the column coordinate of the to-be-identified task identified by each testee can be known; and identification results are obtained. Decision is optimized in a brain-computer interface two-person collaborative decision mode, so that the recognition efficiency is improved.

Description

technical field [0001] The invention relates to the field of artificial intelligence brain science and computer technology, in particular to a P300-BCI target decision-making system and method in which two people cooperate. Background technique [0002] Brain computer interface (brain computer interface, BCI), also known as "brain port" or "brain-computer fusion perception", aims to establish a connection path between people and external devices. In the experiment, when the subjects received external When visual stimulation occurs, the internal neural activity of the brain will undergo corresponding changes, and these passive responses will form different EEG spatiotemporal scale patterns. Using computers to collect and analyze EEG signals, the corresponding stimulation signals will be be identified and judged.Through the analysis of these stimulation signals, they can be used as instructions for people to control external equipment, so as to realize the identification of sp...

Claims

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Application Information

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IPC IPC(8): G06F3/01G06F9/451G06K9/00G06K9/62
CPCG06F3/015G06F9/451G06F2218/12G06F18/214
Inventor 于扬叶泽祺周宗潭胡德文沈辉党新龙
Owner NAT UNIV OF DEFENSE TECH
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