Brain wave interaction method based on artificial intelligence and brain-computer interface cloud server

Abstract

The invention discloses a brain wave interaction method based on artificial intelligence and a brain-computer interface cloud server, and belongs to the technical field of brain wave interaction. The method comprises the following steps: S1, brain wave data acquisition, S2, signal analysis and transmission, S3, artificial intelligence signal interaction, S4, signal content error correction, and S5, feedback information finishing. The brain wave interaction method based on artificial intelligence and the brain-computer interface cloud server can be used for medical treatment and exploration of potential intentions of people, manual control is not needed, control is directly carried out through a central nervous system induction signal, interaction of a brain-computer interface and brain waves is achieved, inconvenience caused by analysis is reduced, time is saved, instruction transmission can be carried out more quickly, the control efficiency is improved, wrong information is deleted, the accuracy of instructions is ensured, and when brain wave signals are collected, external signal interference can be reduced, the collection efficiency can be improved, and the stability of signal transmission can be ensured.

Description

technical field [0001] The invention relates to the technical field of brain wave interaction, in particular to an artificial intelligence-based brain wave interaction method and a brain-computer interface cloud server. Background technique [0002] With the rapid development of brain-computer interface and industrial Internet, the number of edge terminal devices has increased rapidly, and the amount of data generated by edge terminal devices has reached the Zettabyte (ZB) level. Brain-computer interface, also known as "brain port" or "brain-computer fusion perception", is an interface method for the brain to control external devices established by analyzing EEG signals. A direct information path is established between external devices. The biggest problem with existing human-computer interaction is that it is difficult for computers to understand the dialogue scene, and it is difficult to discover the deep meaning behind the language, which leads to the need for human inter...

AI Technical Summary

Problems solved by technology

Brain-computer interface, also known as "brain port" or "brain-computer fusion perception", is an interface method for the brain to control external devices established by analyzing EEG signals. A direct information path is established between external devices. The biggest problem with existing human-computer interaction is that it is difficult for computers to understand the dialogue scene, and it is difficult to discover the deep meaning behind the language, which leads to the need for human intervention and complicates the interaction process.

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