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Real-time security authentication method based on EEG data features

A technology of security authentication and data characteristics, applied in the field of brain waves, can solve problems such as brain waves cannot be guaranteed, inappropriate, and schemes are prone to deviations, and achieve the effects of improving accuracy, safety, and complexity

Active Publication Date: 2022-02-18
XIAMEN UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Based on the above description, it can be known that the existing technology assumes that when a person is emotionally stable, the same person's brain responds almost the same to the same picture or the same piece of audio and video; but if the mood fluctuates, the brain wave It is impossible to ensure whether the correspondence can be obtained, which will lead to the deviation of the existing scheme. At the same time, based on the brain wave classification of emotional fluctuations, it can be known from the existing literature that the selection of the transition-dependent algorithm is very different; and the existing research It is found that human emotions include six basic emotions of happiness, sadness, anger, surprise, fear and disgust, and also include admiration, worship, appreciation, entertainment, anxiety, awe, embarrassment, boredom, calmness, confusion, desire, disgust, empathy Pain, fascination, jealousy, excitement, fear, hate, fun, joy, nostalgia, romance, sadness, satisfaction, sexuality, sympathy and gratification 27 different extended emotions, and each emotion can coexist; The emotions derived from observing the same audio and video data in different age groups may be different, such as being happy when young and calm when middle-aged; therefore, it can be judged that it is not appropriate to use emotions as a means of security certification; therefore, the applicant proposes a The new technical means solves the authentication method that relies on emotion as the core in the existing technology, and at the same time realizes the random authentication method through the new technical means to ensure the security and real-time performance of the authentication

Method used

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  • Real-time security authentication method based on EEG data features
  • Real-time security authentication method based on EEG data features
  • Real-time security authentication method based on EEG data features

Examples

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Embodiment 1

[0064] see figure 1 , figure 2 , image 3 , Figure 6 , Figure 7 What this embodiment adopts is the Emotiv Epoc X brain wave collection and analysis helmet as the device of brain wave collection in this embodiment; Real-time security authentication method based on EEG data feature; Said method comprises the following steps:

[0065] Step 100: building a personal security authentication library;

[0066] The step 100 also includes the following steps:

[0067] Step 110: Determine the type of the user's handheld terminal and the left and right hands used; first of all, it needs to be further explained that the source of stimulation in this embodiment is vibration, so it is necessary to use an additional handheld device that can trigger vibration, and this vibration can be The purpose of the present invention can only be achieved by adjusting according to the instructions. Based on the handheld device mentioned here, it can be a mobile phone, a smart bracelet, or a vibrati...

Embodiment 2

[0120] see Figure 4 , Figure 5 , the difference between it and the embodiment is that the brain wave detection device used is a relatively cheap brain wave detection device; the difference between the two is that the device used in embodiment 1 uses 14 detection electrodes, which can detect the brain wave of the whole head signal, the result of the final verification is relatively accurate; while the number of brain wave detection electrodes in Example 2 is 3, which are distributed on the forehead; the two devices deal with different usage scenarios, and Example 1 can be applied to environments with higher safety requirements, such as Banks, safes and other environments; and the corresponding scene of embodiment 2 can be micropayment, unlocking and other environments; based on the accuracy of the equipment used in embodiment 2, corresponding changes are also made for the frequency setting; the frequency range It is 150Hz-250Hz; the way of the vibration signal of different f...

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Abstract

The invention discloses a real-time security authentication method based on EEG data features, and belongs to the technical field of brain waves. A personal safety certification library is constructed, a certification terminal sends a safety certification request to a safety certification server based on an instruction, the safety certification server sends at least one vibration frequency based on the instruction, a user holds the terminal to acquire the vibration frequency, vibration is sent based on the frequency, and at least one brain wave signal generated by the user under vibration stimulation is obtained; data are encrypted and transmitted to a security authentication server for feature extraction and analysis, comparison is performed based on features of at least one brain wave signal generated under vibration for authentication, and an instruction is sent to the authentication terminal based on a comparison result; vibration is adopted as a stimulation source, so that the influence of emotion on a result is avoided, and the verification accuracy is improved; and meanwhile, based on frequency mapping, a random verification password can be generated in real time during each security authentication, and then a corresponding vibration frequency is generated based on the verification password, so that real-time authentication is realized.

Description

technical field [0001] The invention belongs to the field of brain wave technology, in particular to a real-time security authentication method based on EEG data features. Background technique [0002] Electroencephalogram (Electroencephalogram, EEG) is a method that uses electrophysiological indicators to record brain activity. When the brain is active, the synchronous post-synaptic potentials of a large number of neurons are summed and formed. Everyone's brain waves are different, so with the development of science and technology, researchers gradually apply brain wave technology to security authentication, perception and other technical fields; such as CN201510813543. The most important is to use the image verification information as a stimulus source, so that when the user observes the image, he will induce corresponding emotional fluctuations, radiate brain waves, collect this part of the brain waves for verification, and judge whether he is an authenticated user; emot...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/369A61B5/374
CPCA61B5/369A61B5/374
Inventor 刘斌肖伟东童海周
Owner XIAMEN UNIV OF TECH
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