Emotional brain-computer interface system based on N170 component of face recognition electroencephalogram

Abstract

The invention relates to an emotional brain-computer interface system based on the N170 component of face recognition electroencephalogram, belonging to the field of brain-computer interaction. The system mainly includes a picture stimulator, a head EEG signal collector, a face recognition specific wave N170 detector, a positive and negative emotion classifier, an emotion music player and an emotion regulator. The picture visual stimulator mixes positive and negative emotion pictures of a human face and presents them to a user in a visual stimulation manner, the EEG signal of the user is collected, after amplification and analog-to-digital conversion is performed and processing and analysis is carried out by the face recognition specific wave N170 detector, the specific EEG signals relatedto positive and negative emotion pictures are detected and extracted, the classifier is used to classify positive and negative emotion EEG signals, and then the signals are converted into control commands to complete the control of positive and negative emotion music. The characteristic of the EEG specific wave is relatively stable, the recognition effect is high, and the brain-computer interfacewith high availability can be realized.

Description

technical field [0001] The invention belongs to the field of brain-computer interaction, and relates to an emotional brain-computer interface system based on the N170 component of human face recognition brain electricity. Background technique [0002] Brain-computer interface technology was formed in the 1970s. After nearly half a century of development, it is now able to capture the complex neural signals of the brain in real time and use them to directly control external devices, so that humans and machines can coexist as different components of a life. [0003] The human brain is a highly complex information processing system. It consists of billions of neurons connected to each other for information exchange, and completes various cognitive tasks in an overall coordinated manner. In the process of human evolution, scientists have discovered that when the human brain is performing thinking activities, generating consciousness, or receiving external stimuli (such as vision...

AI Technical Summary

Problems solved by technology

The above-mentioned system has more or less problems in the correct rate of judgment and real-time effect. Although the correct rate of judgment using the above-mentioned method is better than that of random guessing, it is far from practical application.

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