CN106503517B - A kind of security certification system based on the acquisition of virtual implementing helmet brain line - Google Patents
A kind of security certification system based on the acquisition of virtual implementing helmet brain line Download PDFInfo
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- CN106503517B CN106503517B CN201610889043.9A CN201610889043A CN106503517B CN 106503517 B CN106503517 B CN 106503517B CN 201610889043 A CN201610889043 A CN 201610889043A CN 106503517 B CN106503517 B CN 106503517B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
- G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
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Abstract
It include: data access module, brain line generation module and security authentication module the invention discloses a kind of security certification system based on the acquisition of brain line and method, the system；Data access module generates the first brain line characteristic parameter corresponding with subscriber identity information according to preset brain line local data base；Brain line generation module obtains the second brain line characteristic parameter that user generates under the stimulation of audio-video signal；First brain line characteristic parameter is compared security authentication module with the second brain line characteristic parameter, identification and safety certification are carried out to user identity according to comparison result, solve the problems, such as that there is no a kind of security certification systems based on the acquisition of brain line at present in the prior art, have the advantages that brain line password be not easy it is stolen, be not easy to be replicated and abuse, in extreme circumstances, if brain line password is revealed, the resetting brain line password that user can be convenient.
Description
Technical field
The present invention relates to safety certification field, in particular to a kind of safety certification based on the acquisition of virtual implementing helmet brain line
System.
Background technique
Brain wave (ElectroEncephaloGram, EEG) is a kind of nonlinear random signal, with the period, amplitude and
Phase is to place exploring electrode in the head surface of people, between the paired electrode of record as the Fundamentals for constituting its waveform
Potential difference variation.Confirm that at least there are four different brain waves in brain: " α " (Alpha) by the research of neuroscientist
Brain wave, frequency 8-12Hz, " β " (beta) brain wave, frequency are 14-100Hz, " θ " (Xi Ta) brain wave, frequency
Rate 4-8Hz, " δ " (Delta) brain wave, frequency 0.5-4Hz.The activity (activity) of brain wave refer to EEG wave or
Continuous (such as β activity, α activity etc.) of person's wave；The rhythm and pace of moving things (rhythm) of brain wave refers to the wave institute structure by the constant period
At electrical activity of brain (such as beta response, alpha rhythm, spine rhythm and pace of moving things etc.)；Complex wave (complex) is then defined as, and is had characteristic
Waveform or occur fairly constant waveform repeatedly, with background activity distinguishing 2 or 2 or more wave Xiang Lianxu (such as
The slow complex wave of spine, point slow complex wave, K complex wave etc.).
Brain line is the feature of the eeg signal measured, and the brain of different people has a certain specific matters different anti-
It answers, to produce the brain wave of different characteristic, by the external manifestation feature of brain wave, can be used as particular person or specific thing
The basis of characterization of object.Brain wave be to the reaction of specific matters it is unique, everyone is not quite similar, it by scientist letter
Referred to as " brain line ".If this reaction verified as unique password, cipher round results are very difficult to crack.
Current security certification system mainly uses numerical ciphers certification, picture password certification or living things feature recognition to recognize
Card.Wherein, biological feather recognition method has: fingerprint recognition, recognition of face, iris recognition, voice recognition, hand identification, palmmprint
Identification, signature recognition, Gait Recognition etc..
In various biological feather recognition methods, fingerprint recognition is most widely used.Fingerprint refers to the positive surface skin fovea superior of finger
The lines of convex injustice.Although fingerprint is the sub-fraction of human skin, it has contained a large amount of information.These fingers
The lines of skin be on pattern, breakpoint and crosspoint it is different, they are referred to as " special by we in information processing
Sign ", these features are different each finger.Moreover, the fingerprint characteristic of people be it is inherent, birth 6 months after
It basically forms, hereafter, significant change just no longer occurs for the streakline type of fingerprint, structure, overall distribution of statistical nature etc..According to
By fingerprint characteristic uniqueness feature, we can be mapped a people with his fingerprint, special by comparing his fingerprint
It seeks peace the fingerprint characteristic pre-saved, so that it may verify his true identity.
Compared to fingerprint, brain line has a variety of behavioral characteristics.Brain line may be used as identification terrorist or other danger point
The method of son, by measuring him when specific written document known before showing to him or image (such as training camp or handbook)
" brain line ".Brain line can be also used for identification, as fingerprint, iris, can be applied to numerous safety certification occasions.
In terms of identifying personal identification, brain line has the no potential advantages of some fingerprints.For example, if someone fingerprint
It is stolen, the leeway that he does not just retrieve substantially, because fingerprint is " irrevocable ".Fingerprint exists as safety certification to be usurped
With the possibility of failure.When finger is peeled because of reasons such as dry weathers, cause identification abnormal.After fingerprint is by stamp, it is easy quilt
Abuse.As soon as the event leaked more than 6,000,000 user fingerprints once occurs to the tight famous U.S. in safety measure.And brain
Line is then different, it can be cancelled.In case of extremely individual situations, hacker really tries to steal from authorized user there
" brain line ", authorized user can also reset " brain line ".
Brain line can also be used to identify " cognitive characteristics " of a people, the state of mind of rapid evaluation visitor.To sentence
The cognitive state of disconnected visitor, can whether the state of mind be normal, allow visitor to enter system.For example, an if aerial friendship
Logical controller is too tired or attention is more dispersed, even if his authentication success, he also cannot be introduced into system.If
The state of mind is good before one pilot enters system, occurs abnormal, the then brain line acquisition in aircrew helmet in flight course
After device monitoring to abnormal brain line, it can send a warning message to earth station, to adopt remedial measures.
Although brain line is with having many advantages in terms of safety certification, there is no a kind of peaces based on the acquisition of brain line at present
Full Verification System and method.
Summary of the invention
In view of the above problems, the present invention provides a kind of security certification systems and method based on the acquisition of brain line.
The present invention provides a kind of security certification systems based on the acquisition of brain line, comprising:
Data access module, in conjunction with preset brain line local data base, is generated for receiving the input of subscriber identity information
The first brain line characteristic parameter corresponding with subscriber identity information is stored with several user identity in the brain line local data base
Information and brain line characteristic parameter corresponding with the subscriber identity information；
Brain line generation module, the brain wave digital signal generated under the stimulation of audio-video signal for obtaining user are right
The brain wave digital signal carries out feature extraction and analysis, obtains the second brain line characteristic parameter；
Security authentication module, for the first brain line characteristic parameter to be compared with the second brain line characteristic parameter, according to than
Identification and safety certification are carried out to user identity to result.
The present invention also provides a kind of safety certifying methods based on the acquisition of brain line, comprising the following steps:
The input for receiving subscriber identity information generates and subscriber identity information pair in conjunction with preset brain line local data base
The the first brain line characteristic parameter answered, be stored in the brain line local data base several subscriber identity informations and with the user
The corresponding brain line characteristic parameter of identity information；
The brain wave digital signal that user generates under the stimulation of audio-video signal is obtained, to the brain wave digital signal
Feature extraction and analysis are carried out, the second brain line characteristic parameter is obtained；
First brain line characteristic parameter is compared with the second brain line characteristic parameter, according to comparison result to user identity into
Row identification and safety certification.
The present invention has the beneficial effect that:
Data access module is according to preset brain line local data base, generation and subscriber identity information in the embodiment of the present invention
Corresponding first brain line characteristic parameter；Brain line generation module obtains the second brain line that user generates under the stimulation of audio-video signal
Characteristic parameter；First brain line characteristic parameter is compared security authentication module with the second brain line characteristic parameter, ties according to comparing
Fruit carries out identification and safety certification to user identity, solves in the prior art not a kind of peace based on the acquisition of brain line at present
The problem of full Verification System, have the advantages that brain line password be not easy it is stolen, be not easy to be replicated and abuse, in extreme case
Under, if brain line password is revealed, the resetting brain line password that user can be convenient.
Detailed description of the invention
Fig. 1 is the structural block diagram of the security certification system based on the acquisition of brain line of apparatus of the present invention embodiment；
Fig. 2 is brain wave analogue in the collected certain time interval of apparatus of the present invention embodiment acquiring brain waves submodule
The schematic diagram of signal
Fig. 3 is the structural block diagram of one example of virtual implementing helmet in apparatus of the present invention embodiment；
Fig. 4 is the brain line generation module of the security certification system midbrain line based on the acquisition of brain line in apparatus of the present invention embodiment
With the interaction schematic diagram of batch processing module and other modules；
Fig. 5 is the schematic diagram for the security certification system that apparatus of the present invention embodiment is acquired based on brain line；
Fig. 6 is the flow chart of the safety certifying method based on the acquisition of brain line of embodiment of the present invention method.
Specific embodiment
In order to solve the problems, such as the prior art security certification system and method based on the acquisition of brain line not a kind of at present,
The present invention provides a kind of security certification systems and method based on the acquisition of brain line, below in conjunction with attached drawing and embodiment, to this
Invention is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, not
Limit the present invention.
Apparatus according to the invention embodiment provides a kind of security certification system based on the acquisition of brain line, and Fig. 1 is this hair
The structural schematic diagram of the security certification system based on the acquisition of brain line of bright Installation practice, as shown in Figure 1, device according to the present invention
The security certification system based on the acquisition of brain line of embodiment includes: data access module 110, brain line generation module 120 and safety
Authentication module 130 is below described in detail the modules of apparatus of the present invention embodiment.
Specifically, data access module 110, it is local in conjunction with preset brain line for receiving the input of subscriber identity information
Database generates the first brain line characteristic parameter corresponding with subscriber identity information, if being stored in the brain line local data base
Dry subscriber identity information and brain line characteristic parameter corresponding with the subscriber identity information.
Data access module 110 can select various terminals, such as computer etc. in apparatus of the present invention embodiment.Data connect
Enter module 110, be also used under the mode of Adding User, when receiving the input for the identity information that Adds User, triggers the brain
Line generation module.
Brain line generation module 120, the brain wave digital signal generated under the stimulation of audio-video signal for obtaining user,
Feature extraction and analysis are carried out to the brain wave digital signal, obtain the second brain line characteristic parameter.
The brain line generation module 120, is also used under the mode of Adding User, receives the touching of data access module 110
After hair, the brain wave digital signal generated under the stimulation of audio-video signal that Adds User is obtained, the brain wave number is believed
Number feature extraction and analysis are carried out, newly-increased brain line characteristic parameter is obtained, by the newly-increased brain line characteristic parameter and the body that Adds User
It is stored in brain line local data base after part information association.
The brain line generation module 120 is also used to, by wireless after the second brain line is associated with subscriber identity information
Transceiver module is stored in brain line local data base, in order to user's quickly checking, handle and dividing to the brain line currently recorded
Analysis.
Current Neuroscience Research proves, the brain of the same person is anti-for same picture or same section of audio-video
It should be almost identical.The principle of Picking video and audio are as follows: make everyone under the stimulation of the video and/or audio signal
Special, different from other people reaction can be generated.
Specifically, the brain line generation module 120 include acquiring brain waves submodule, brain wave feature extraction submodule,
And brain line analyzes submodule.
More specifically, the acquiring brain waves submodule is generated under the stimulation of vision signal for obtaining user
Brain wave analogue signal, and brain wave analogue signal amplification, filtering, analog-to-digital conversion are obtained into brain wave digital signal.Fig. 2
It is the signal of brain wave analogue signal in the collected certain time interval of apparatus of the present invention embodiment acquiring brain waves submodule
Figure.It is common in brain wave to overlap polymorphic composite wave-shape to by β, α, θ, δ wave are unordered, at this time, it is necessary to using compared with
Appropriate method (the gloomy method of such as rattan) come identify and determine waveform and calculate wave quantity (index or index).
Virtual implementing helmet, virtual reality glasses or other wear-type multimedias can be selected in the acquiring brain waves submodule
Equipment.Fig. 3 is the structural block diagram of one example of virtual implementing helmet in apparatus of the present invention embodiment.Specifically, virtual reality head
Helmet include helmet bracket, acquiring brain waves electrode, video playback unit, audio playing unit, low noise amplifier, filter,
High precision analogue conversion chip, DC power supply, brain wave feature extraction submodule, brain line generate submodule, memory module, wireless
Transceiver module etc..Wherein, acquiring brain waves electrode, low noise amplifier, filter, high precision analogue conversion chip, brain wave
Feature extraction submodule, brain line analysis submodule belong to brain line generation module.
Wherein, several acquiring brain waves electrode arrangements are on helmet bracket, for acquiring user in video playback unit
And/or the brain wave analogue signal generated under the stimulation of the content of audio playing unit broadcasting；The low noise amplifier, filtering
Device, modulus conversion chip obtain brain wave number letter for amplifying, filtering to brain wave analogue signal and analog-to-digital conversion
Number.
The internal stent of virtual implementing helmet can arrange that acquiring brain waves electrode, electrode are placed in multiple specific positions
It outside cranium, is contacted with scalp by dry electrode seal, acquires scalp electrode electroencephalogram.Present scalp electrode electroencephalogram is conventional use of
It is international 10-20 system.10-20 system includes 19 recording electrodes and 2 reference electrodes.The arrangement of electrode position and head
Size and shape is proportional, is exactly no matter head major part is small or there are comparativity in the variation of head head dummy, the position of placement, because
10-20 system is placed according to the percentage on itself head.User using in virtual reality (VR) helmet VR glasses it is same
When, electric wave acquisition electrode collects the corresponding brain wave analogue signal of user, and brain wave analogue signal is by amplifier (because of brain
Electric signal is very faint, is mv or uv rank, and obtain the decaying by skull and scalp, so needing by millions of times
Amplification can just be shown), filter (reduce interference), high precision analogue conversion eventually form brain wave digital signal.
In order to obtain more effective brain wave digital signal, in favor of extracting brain line characteristic parameter, apparatus of the present invention are implemented
The brain line generation module of example further includes control submodule, is produced under the stimulation of audio-video signal for analyzing user in a period of time
Raw brain wave digital signal changes audio-video signal if the feature of the brain wave digital signal is unobvious.
Apparatus of the present invention embodiment acquiring brain waves submodule uses virtual implementing helmet, by wearing virtual implementing helmet
The mode of viewing virtual reality video or picture acquires brain wave, and the acquiring brain waves process for keeping tradition uninteresting becomes rich in amusement
Property.By increase audio frequency broadcast system, make the experience of user more pleasant, and be conducive to generate more brain line features, and
Helmet bracket in virtual reality can meet the requirement of acquiring brain waves in specific position of sound production multiple electrodes.
The brain wave feature extraction submodule, for according to the brain line feature transferred from the brain line local data base
Parameter, to the brain wave digital signal carry out feature extraction obtain include brain line characteristic parameter brain wave digital signal.
In apparatus of the present invention embodiment, feature extraction includes but is not limited to following method: EEG signals are clustered,
Multiple linear regression, power spectral density calculate, mean value and variance calculate, carry out time-domain and frequency-domain after wavelet transformation or Fourier transformation
Analysis, Analysis of channel property, Liapunov exponent calculating, principal component analysis and independent component analysis, common space mode
Method, sparse coding, integrated supporting vector machine and matched filter method.
The brain wave feature extraction submodule is also used to intercept part to be believed comprising the brain wave number of brain line characteristic parameter
Number, it is compressed and is exported.The purpose for intercepting partial data is to simplify data, reduces the number of incoming brain line batch processing module
According to.The method for intercepting partial data includes but is not limited to following method: reservation includes the brain wave analogue of brain electrical feature parameter
Signal simultaneously rejects the brain wave analogue signal that repetition includes identical brain electrical feature parameter.The input of brain wave feature extraction submodule
For the brain line characteristic parameter in brain wave digital signal and brain line local data base, the brain to include brain line characteristic parameter is exported
Electric wave digital signal and the brain wave digital signal compressed after filtering.
Further, the security certification system further includes brain line batch processing module, brain line feature and identity information cloud
Client database module.
The brain line batch processing module, the brain wave digital signal for the batch to the same user received carry out
Cluster and processing, obtain the new brain line characteristic parameter of the user.
Specifically, the brain line batch processing module can be deployed on distributed big data cloud platform, it is flat using cloud
The software and hardware resources of platform realize the feature extraction to brain wave, have large sample statistical analysis, depth in big data cloud platform
On the basis of practising the clustering algorithms such as neural network, machine learning, for the actual features of brain wave feature extraction engineering, Ke Yicong
Several aspects such as algorithm operational efficiency, feature extraction accuracy, characteristic validity carry out the performance of cloud platform software and hardware resources
Optimization.Brain line batch processing module includes brain wave cluster submodule, brain wave feature extraction and enhancing submodule.
The brain wave clusters submodule, and the brain wave digital signal for the batch to the same user received carries out
Cluster, obtains brain wave Parameter Clustering result.
Brain wave clusters submodule to the characteristic parameter of the brain wave of active user and used brain line acquisition virtual existing
The characteristic parameter of the brain wave of the user of the real helmet and other brain lines acquisition virtual implementing helmet clusters, and finds out all users
Brain wave parameter characteristic parameter between distribution situation and rule.The input of brain wave cluster module is that brain wave feature mentions
The brain wave digital signal compressed after filtering for taking submodule, exports the brain wave Parameter Clustering result for all users.
The brain wave feature extraction and enhancing submodule, for based between brain wave known features and brain wave parameter
Implicit associations relationship, new brain line characteristic parameter is obtained according to brain wave Parameter Clustering result.
Brain wave feature extraction is associated rule digging using association algorithm with enhancing submodule, is believed using feature critical
Implicit associations relationship and brain wave known features between breath retain the higher effective brain electrical feature parameter of discrimination, by these
Effective brain electrical feature parameter summarizes for brain line characteristic parameter.Brain wave feature extraction and the input of enhancing submodule are brain wave ginseng
Number cluster result and brain wave known features, export as brain line characteristic parameter.
The known features of brain wave have very much, such as: alpha wave frequency is 8-12Hz, and β brain wave frequency is 14-
100Hz, θ brain wave frequency are 4-8Hz, and δ brain wave frequency is 0.5-4Hz.For another example: (odd in " cognition " certain target stimulation
Different stimulation), one group of wave can be recorded from scalp, mainly have N1, P2, N2, P300 (P3), be referred to as event related potential (ERP).Target
Stimulation is shorter than the P300 current potential incubation period that non-target stimulation is drawn, and wave amplitude is high compared with also.Task difficulty size can influence incubation period
And amplitude change, difficulty is bigger, and P300 current potential is more obvious.In addition, the encouragement value stimulated is also whether there is or not reward after completing test
Influence P3 wave.
The brain line feature and identity information cloud database module, for receiving the new brain line characteristic parameter, and
It feeds back in brain line local data base, is updated the brain line local data base to the corresponding brain line of the user.
All brain lines in certain period of time are stored in brain line feature and identity information cloud database acquires virtual reality head
The collected brain line of helmet institute, subscriber identity information and brain line characteristic parameter.Brain line is obtained from brain line local data base carries out brain
Line database update, increase cloud platform midbrain line feature and identity information cloud database data volume, convenient for statistical analysis with
Network inquiry.Brain wave feature extraction and enhancing submodule output brain line characteristic parameter are into cloud database.Brain line feature with
Identity information cloud database exports brain line characteristic parameter into brain line local data base.Brain line feature and identity information cloud number
Brain line database interface is provided according to library, is called for software programs such as scientific research, medical treatment, sport, amusement, business applications.Brain line feature
Input with identity information cloud database is brain wave feature extraction and the brain line characteristic parameter and brain line sheet for enhancing submodule
The brain line data of ground database export as brain line database interface and brain line clock rate.
The brain line analyzes submodule, for it is described include that the brain wave digital signal of brain line characteristic parameter is divided
Analysis processing, obtains brain line characteristic parameter, and the brain line characteristic parameter is believed with the user identity transferred from brain line local data base
Breath obtains brain line characteristic parameter corresponding to the user after being associated, and according to the judgement of preset normal brain activity line characteristic parameter
Brain line characteristic parameter corresponding to the user is normal or abnormal, and if normal, then the brain line characteristic parameter corresponding to the user is
For the second brain line characteristic parameter, the second brain line characteristic parameter is sent to the security authentication module；It, will be with if abnormal
The corresponding brain line characteristic parameter of user is sent in preset abnormal brain line information interface.
The input that brain line analyzes submodule is the brain wave digital signal and brain line local number for including brain line characteristic parameter
According to the subscriber identity information in library, export as the second brain line characteristic parameter and abnormal brain line characteristic parameter.The abnormal brain line
Whether the brain line that characteristic parameter is used to judge to record at present is effective, and user can also be judged with the presence or absence of the state of mind or cognition shape
The situation of state exception.
Fig. 4 is the security certification system midbrain line generation module and batch based on the acquisition of brain line in apparatus of the present invention embodiment
The interaction schematic diagram of processing module and other modules.It is stored in brain line local data base a certain number of using when forebrain line acquires
Virtual implementing helmet brain line characteristic parameter generated and subscriber identity information.Brain line based on brain line acquisition virtual implementing helmet
Brain line is transferred to brain line local data base by radio receiving transmitting module by the brain line characteristic parameter that generation module generates, and is convenient for user
Quickly checking, handle and analyzing to the brain line characteristic parameter currently recorded.Brain line local data base exports subscriber identity information
Submodule is analyzed to brain line, is associated for brain line characteristic parameter with identity information.Brain line local data base exports brain line feature
Parameter quickly handles brain wave information to brain line feature extraction submodule, for brain line characteristic extracting module, obtains brain line parameter.Brain
The identity information when input of line local data base is the brain line characteristic parameter that brain line generation module generates and user's login, output
For user's body in brain line local data bank interface, the brain line characteristic parameter of brain line generation module generation, brain line local data base
Part information and brain line characteristic parameter.
Security authentication module 130, for the first brain line characteristic parameter to be compared with the second brain line characteristic parameter, according to
Comparison result carries out identification and safety certification to user identity.
Specifically, the security authentication module 130 includes comparing submodule, identification submodule and safety certification
Module；
The comparison submodule is obtained for the first brain line characteristic parameter to be compared with the second brain line characteristic parameter
Comparison result；
The identification submodule, for according to comparison result, judging that user identity is authorized user or unauthorized
User should if the similarity of the first brain line characteristic parameter of user and the second brain line characteristic parameter is within an acceptable range
User is authorized user；If the similarity of the first brain line characteristic parameter of user and the second brain line characteristic parameter is unacceptable
In range or the second brain line characteristic parameter of user is mismatched with brain line characteristic parameters all in brain line local data base,
Then the user is unauthorized user；
It is pre- to carry out visitor's invasion to unauthorized user for giving authorized user open permission for the safety certification submodule
It is alert, the second brain line characteristic parameter is stored in preset non-real-name authentication brain line subdata base.
Fig. 5 is the schematic diagram for the security certification system that apparatus of the present invention embodiment is acquired based on brain line, as shown in figure 5, logical
It crosses brain line acquisition virtual implementing helmet or other brain line sampling instruments collects brain line, the brain line and user identity are claimed
Information carries out the comparison of brain line, if a certain brain line in the similarity of brain line and brain line database is within an acceptable range, recognizes
It is certain user pre-registered in brain line database for the user.
In apparatus of the present invention embodiment, brain line processing is carried out by the way of cloud platform and big data, so that brain wave
Data can preferably be scientific research and Engineering Service, so that the brain line extracted is more acurrate.Meanwhile it being stored in the database of cloud platform
After more brain line data, be conducive to the statistical analysis technique by large sample, find some unknown brain line features and its
His brain wave phenomenon.And brain line batch processing module passes through the methods of large sample statistical analysis, deep learning neural network essence
The feature of true extraction and prediction brain wave, to provide parameter foundation for online brain line.Off-line system is flat using cloud
Software and hardware resources in platform are calculated.
Embodiment according to the method for the present invention provides a kind of safety certifying method based on the acquisition of brain line, and Fig. 6 is this hair
The flow chart of the safety certifying method based on the acquisition of brain line of bright embodiment of the method, as shown in fig. 6, according to an embodiment of the present invention
Safety certifying method based on the acquisition of brain line includes following processing:
Step 601, the input for receiving subscriber identity information generates and user's body in conjunction with preset brain line local data base
The corresponding first brain line characteristic parameter of part information, be stored in the brain line local data base several subscriber identity informations and with
The corresponding brain line characteristic parameter of the subscriber identity information；
Step 602, the brain wave digital signal that user generates under the stimulation of audio-video signal is obtained, to the brain wave
Digital signal carries out feature extraction and analysis, obtains the second brain line characteristic parameter；
Step 603, the first brain line characteristic parameter is compared with the second brain line characteristic parameter, according to comparison result to
Family identity carries out identification and safety certification.
The safety certifying method based on the acquisition of brain line of embodiment of the present invention method is further comprising the steps of:
Under the mode of Adding User, the input for the identity information that Adds User is received；
The brain wave digital signal generated under the stimulation of vision signal that Adds User is obtained, the brain wave number is believed
Number feature extraction and analysis are carried out, newly-increased brain line characteristic parameter is obtained, by the newly-increased brain line characteristic parameter and the body that Adds User
It is stored in brain line local data base after part information association.
Specifically, step 602 specifically includes following steps；
The brain wave analogue signal that user generates under the stimulation of audio-video signal is obtained, and the brain wave analogue is believed
Number amplification, filtering, analog-to-digital conversion obtain brain wave digital signal；
According to the brain line characteristic parameter transferred from the brain line local data base, the brain wave digital signal is carried out
Feature extraction obtain include brain line characteristic parameter brain wave digital signal；
To it is described include that the brain wave digital signal of brain line characteristic parameter is analyzed and processed, obtain brain line feature ginseng
Number, the brain line characteristic parameter and obtains after being associated from the subscriber identity information transferred in brain line local data base and user
Corresponding brain line characteristic parameter, and judge that the brain line feature corresponding to the user is joined according to preset normal brain activity line characteristic parameter
Number is normal or abnormal, and if normal, then the brain line characteristic parameter corresponding to the user is the second brain line characteristic parameter；If different
Often, then brain line characteristic parameter corresponding to the user is sent in preset abnormal brain line information interface.
The safety certifying method based on the acquisition of brain line of embodiment of the present invention method is further comprising the steps of:
Partial data is intercepted in brain wave digital signal, is compressed the brain wave digital signal for obtaining batch；
The brain wave digital signal of the batch of the same user received is clustered and handled, the new of the user is obtained
Brain line characteristic parameter；
The new brain line characteristic parameter is received, and is fed back in brain line local data base, the brain line local data is made
Library is updated the corresponding brain line characteristic parameter of the user.
Specifically, the brain wave digital signal of the batch of the described couple of same user received is clustered and handled, obtain
New brain line characteristic parameter to the user specifically includes following steps；
The brain wave digital signal of the batch of the same user received is clustered, brain wave Parameter Clustering knot is obtained
Fruit；
Based on the implicit associations relationship between brain wave known features and brain wave parameter, according to brain wave Parameter Clustering knot
Fruit obtains new brain line characteristic parameter.
Specifically, step 603 the following steps are included:
First brain line characteristic parameter is compared with the second brain line characteristic parameter, obtains comparison result；
According to comparison result, judge that user identity is authorized user or unauthorized user, if the first brain line of user
Within an acceptable range, then the user is authorized user to the similarity of characteristic parameter and the second brain line characteristic parameter；If user
The first brain line characteristic parameter and the second brain line characteristic parameter similarity in unacceptable range or the second brain of user
Line characteristic parameter is mismatched with brain line characteristic parameters all in brain line local data base, then the user is unauthorized user；
It gives authorized user open permission, visitor's attack early warning is carried out to unauthorized user, the second brain line feature is joined
Number is stored in preset non-real-name authentication brain line subdata base.
Obviously, various changes and modifications can be made to the invention without departing from essence of the invention by those skilled in the art
Mind and range.In this way, if these modifications and changes of the present invention belongs to the range of the claims in the present invention and its equivalent technologies
Within, then the present invention is also intended to include these modifications and variations.
Claims (8)
1. a kind of security certification system based on the acquisition of brain line characterized by comprising
Data access module, in conjunction with preset brain line local data base, is generated and is used for receiving the input of subscriber identity information
Identity information corresponding first brain line characteristic parameter in family is stored with several subscriber identity informations in the brain line local data base
And brain line characteristic parameter corresponding with the subscriber identity information；
Brain line generation module, the brain wave digital signal generated under the stimulation of audio-video signal for obtaining the user are right
The brain wave digital signal carries out feature extraction and analysis, obtains the second brain line characteristic parameter；
Security authentication module is tied for being compared the first brain line characteristic parameter with the second brain line characteristic parameter according to comparing
Fruit carries out identification and safety certification to user identity；
The brain line generation module includes acquiring brain waves submodule, brain wave feature extraction submodule and brain line analysis
Module；
The acquiring brain waves submodule, the brain wave analogue letter generated under the stimulation of audio-video signal for obtaining user
Number, and brain wave analogue signal amplification, filtering, analog-to-digital conversion are obtained into brain wave digital signal；
The brain wave feature extraction submodule, for according to the brain line feature ginseng transferred from the brain line local data base
Number, to the brain wave digital signal carry out feature extraction obtain include brain line characteristic parameter brain wave digital signal；
The brain line analyzes submodule, for it is described include that the brain wave digital signal of brain line characteristic parameter carries out at analysis
Reason, obtains brain line characteristic parameter, the brain line characteristic parameter and the subscriber identity information transferred from brain line local data base into
Brain line characteristic parameter corresponding to the user is obtained after row association, and is judged described according to preset normal brain activity line characteristic parameter and used
The corresponding brain line characteristic parameter in family is normal or abnormal, and if normal, then the brain line characteristic parameter corresponding to the user is the
The second brain line characteristic parameter is sent to the security authentication module by two brain line characteristic parameters；It, will be with user if abnormal
Corresponding brain line characteristic parameter is sent in preset abnormal brain line information interface.
2. security certification system as described in claim 1, which is characterized in that
Data access module is also used under the mode of Adding User, when receiving the input for the identity information that Adds User, triggering
The brain line generation module；
The brain line generation module is also used to obtain the brain wave number for Adding User and generating under the stimulation of sound audio-video signal
Signal carries out feature extraction and analysis to the brain wave digital signal, newly-increased brain line characteristic parameter is obtained, by the newly-increased brain
Line characteristic parameter is stored in brain line local data base after being associated with the identity information that Adds User.
3. security certification system as claimed in claim 1 or 2, which is characterized in that the security certification system further includes brain line
Batch processing module, brain line feature and identity information cloud database module:
The brain wave feature extraction submodule is also used to the brain wave digital signal acquired in the acquiring brain waves submodule
Middle interception partial data is compressed and is exported to the brain line batch processing module；
The brain line batch processing module, the brain wave digital signal for the batch to the same user received cluster
And processing, obtain the new brain line characteristic parameter of the user；
The brain line feature and identity information cloud database module, for receiving the new brain line characteristic parameter, and feed back
Into brain line local data base, it is updated the brain line local data base to the corresponding brain line characteristic parameter of the user.
4. security certification system as claimed in claim 3, which is characterized in that the brain line batch processing module includes brain wave
Cluster submodule, brain wave feature extraction and enhancing submodule；
The brain wave clusters submodule, and the brain wave digital signal for the batch to the same user received is gathered
Class obtains brain wave Parameter Clustering result；
The brain wave feature extraction and enhancing submodule, for based on hidden between brain wave known features and brain wave parameter
Containing incidence relation, new brain line characteristic parameter is obtained according to brain wave Parameter Clustering result.
5. security certification system as claimed in claim 1 or 2, which is characterized in that the security authentication module includes comparer
Module, identification submodule and safety certification submodule；
The comparison submodule is compared for the first brain line characteristic parameter to be compared with the second brain line characteristic parameter
As a result；
The identification submodule, for according to comparison result, judging that user identity is authorized user or unauthorized user,
If the similarity of the first brain line characteristic parameter of user and the second brain line characteristic parameter is within an acceptable range, which is
Authorized user；If the similarity of the first brain line characteristic parameter of user and the second brain line characteristic parameter is in unacceptable range
Interior or user the second brain line characteristic parameter is mismatched with brain line characteristic parameters all in brain line local data base, then should
User is unauthorized user；
The safety certification submodule, will to unauthorized user progress visitor's attack early warning for giving the open permission of authorized user
The second brain line characteristic parameter is stored in preset non-real-name authentication brain line subdata base.
6. a kind of safety certifying method based on the acquisition of brain line, which comprises the following steps:
The input for receiving subscriber identity information generates corresponding with subscriber identity information in conjunction with preset brain line local data base
First brain line characteristic parameter, be stored in the brain line local data base several subscriber identity informations and with the user identity
The corresponding brain line characteristic parameter of information；
The brain wave digital signal that user generates under the stimulation of audio-video signal is obtained, the brain wave digital signal is carried out
Feature extraction and analysis obtain the second brain line characteristic parameter；
First brain line characteristic parameter is compared with the second brain line characteristic parameter, user identity is known according to comparison result
Other and safety certification；
The brain wave digital signal for obtaining user and being generated under the stimulation of audio-video signal, to the brain wave digital signal
Feature extraction and analysis are carried out, the second brain line characteristic parameter is obtained and specifically includes following steps；
The brain wave analogue signal that user generates under the stimulation of audio-video signal is obtained, and the brain wave analogue signal is put
Greatly, filtering, analog-to-digital conversion obtain brain wave digital signal；
According to the brain line characteristic parameter transferred from the brain line local data base, feature is carried out to the brain wave digital signal
Extract obtain include brain line characteristic parameter brain wave digital signal；
To it is described include that the brain wave digital signal of brain line characteristic parameter is analyzed and processed, obtain brain line characteristic parameter, institute
State brain line characteristic parameter be associated from the subscriber identity information transferred in brain line local data base after obtain it is corresponding with user
Brain line characteristic parameter, and the brain line characteristic parameter corresponding to the user is being judged just according to preset normal brain activity line characteristic parameter
Often or abnormal, if normal, then the brain line characteristic parameter corresponding to the user is the second brain line characteristic parameter；If abnormal,
Then brain line characteristic parameter corresponding to the user is sent in preset abnormal brain line information interface.
7. safety certifying method as claimed in claim 6, which is characterized in that further comprising the steps of:
Under the mode of Adding User, the input for the identity information that Adds User is received；
The brain wave digital signal generated under the stimulation of audio-video signal that Adds User is obtained, to the brain wave digital signal
Feature extraction and analysis are carried out, newly-increased brain line characteristic parameter is obtained, by the newly-increased brain line characteristic parameter and the identity that Adds User
It is stored in after information association in brain line local data base.
8. safety certifying method as claimed in claims 6 or 7, which is characterized in that further comprising the steps of:
Partial data is intercepted in brain wave digital signal, is compressed the brain wave digital signal for obtaining batch；
The brain wave digital signal of the batch of the same user received is clustered and handled, the new brain of the user is obtained
Line characteristic parameter；
The new brain line characteristic parameter is received, and is fed back in brain line local data base, the brain line local data base pair is made
The corresponding brain line characteristic parameter of the user is updated；
It is described that first brain line characteristic parameter is compared with the second brain line characteristic parameter, according to comparison result to user identity into
Row identification and safety certification specifically includes the following steps:
First brain line characteristic parameter is compared with the second brain line characteristic parameter, obtains comparison result；
According to comparison result, judge that user identity is authorized user or unauthorized user, if the first brain line feature of user
Within an acceptable range, then the user is authorized user for parameter and the similarity of the second brain line characteristic parameter；If the of user
The similarity of one brain line characteristic parameter and the second brain line characteristic parameter is in unacceptable range or the second brain line of user is special
Sign parameter is mismatched with brain line characteristic parameters all in brain line local data base, then the user is unauthorized user；
It gives authorized user open permission, visitor's attack early warning is carried out to unauthorized user, the second brain line characteristic parameter is deposited
Enter in preset non-real-name authentication brain line subdata base.
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| CN108108603A (en) | 2017-12-04 | 2018-06-01 | 阿里巴巴集团控股有限公司 | Login method and device and electronic equipment |
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| CN109684296A (en) * | 2018-12-14 | 2019-04-26 | 深圳大学 | Brain line identification database construction method, device, computer equipment and storage medium |
| CN110321691B (en) * | 2019-07-30 | 2022-03-11 | 东南大学 | User authentication device and method suitable for brain-computer interface |
| CN111031057B (en) * | 2019-12-21 | 2020-10-09 | 北京理工大学 | Information transmission method for inducing brain waves based on stimulation signals |
| CN113705277B (en) * | 2020-05-20 | 2024-03-12 | 江苏集萃脑机融合智能技术研究所有限公司 | Brain pattern recognition system and method |
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