Investigation and data authenticity checking method based on radio wave nerve driving

Abstract

The invention discloses a survey and data authenticity checking method based on electric wave nerve driving in the technical field of medical electric waves. Through the arrangement of the electric wave recognizer and the computer device, the electric wave recognizer can recognize four waveforms of brain waves and respectively record frequency spectrums of the four waveforms and data of the frequency spectrums; the four waveforms can be transmitted to the computer device for one-to-one comparison, so that the authenticity of data is improved, the comparison difficulty is reduced, the computer device can collect big brain waves of each person to form a database, and when the electric wave recognizer transmits the four electric wave data of the sampler to the computer device and the comparison is carried out, if the comparison is correct, positive feedback is carried out on the electric wave nerve driving detection instrument through the peripheral controller, the electric wave nerve driving detection instrument continues sampling, if the comparison is wrong, negative feedback is carried out on the electric wave nerve driving detection instrument through the peripheral controller, the electric wave nerve driving detection instrument stops sampling, so the comparison time is saved, and the checking efficiency is improved.

Description

technical field [0001] The invention discloses a method for investigation and data authenticity checking based on electric wave nerve drive in the field of medical electric wave technology. Background technique [0002] With the development of society, human activities are becoming more and more diversified and intelligent. At the same time, incidents such as information leakage and identity forgery occur frequently, so accurate identification and authentication is particularly important. Traditional authentication techniques, such as the use of access codes, passwords, or IC (Integrated Circuit) cards, while not necessarily capturing more reliable human biometrics, make authentication vulnerable to loss, forgery, theft, or compromise. The available biometric technologies have been widely used in information systems or network environments, including fingerprints, faces (optical and infrared), iris, DNA, key input patterns, and even gait. However, these techniques have only...

AI Technical Summary

Problems solved by technology

[0004] In the existing technology, aiming at collecting human brain waves to authenticate people, in general, human brain waves have four waveforms, namely α wave, β wave, θ wave and δ wave. When performing identity verification, it is necessary to compare these radio waves one by one to see if they are the same as the data, which will increase the difficulty of identification and reduce the accuracy of identity verification

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