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Non-burden question and answer type c-VEP identity recognition method

An identification and question-and-answer technology, applied in the field of biometrics, can solve problems such as insufficient security guarantees

Pending Publication Date: 2022-04-08
FUZHOU UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, these biometric technologies still have problems of one kind or another, and cannot fully guarantee security

Method used

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  • Non-burden question and answer type c-VEP identity recognition method
  • Non-burden question and answer type c-VEP identity recognition method

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Embodiment Construction

[0013] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0014] It should be pointed out that the following detailed description is exemplary and is intended to provide further explanation to the present application. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0015] It should be noted that the terminology used here is only for describing specific implementations, and is not intended to limit the exemplary implementations according to the present application. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprising" and / or "comprising" are used in this specification, they mean There are features, steps, operations, means, components and / or combina...

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Abstract

The invention relates to a non-burden question and answer type c-VEP identity recognition method, the method is composed of two parts of user identity c-VEP model construction and c-VEP-based identity recognition, and both the user identity c-VEP model construction and the c-VEP-based identity recognition require a user to wear an electroencephalogram cap to participate in a set man-machine interaction process. Recording electroencephalogram signals of the user in the interaction process; the user identity c-VEP model construction part is used for converting electroencephalogram signals in the interaction process into c-VEP samples and constructing a user identity c-VEP model on a c-VEP sample set by applying a machine learning method; and the identity recognition part based on the c-VEP converts the electroencephalogram signal of the current user into an identity c-VEP sample, and sends the identity c-VEP sample into a user identity c-VEP model for calculation to recognize the identity of the current user. According to the method, a user is required to answer questions without cognitive burden in the man-machine interaction process, and only electroencephalogram signals generated when the user correctly answers the questions are reserved for identity recognition. The method is beneficial for improving the reliability and accuracy of identity recognition by adopting the electroencephalogram signals.

Description

technical field [0001] The invention belongs to the field of biological identification, and in particular relates to a no-burden question-and-answer type c-VEP identification method. Background technique [0002] Currently, information technology is developing rapidly. Identification is an important prerequisite for ensuring information security. Traditional identification methods include identification based on identification items and identification based on identification knowledge. But the identification items are easy to be lost or counterfeited, and the identification knowledge is easy to forget or be deciphered. Therefore, the identification method based on biometric identification technology has received more and more attention and research because of its better security and reliability. [0003] At present, widely researched and applied biometric recognition technologies include fingerprint recognition, face recognition, iris recognition, voiceprint recognition a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06F3/01G06N20/00
Inventor 黄志华
Owner FUZHOU UNIV