CN107080545A - A kind of lie detection system based on brain electricity - Google Patents

A kind of lie detection system based on brain electricity Download PDF

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Publication number
CN107080545A
CN107080545A CN201710178669.3A CN201710178669A CN107080545A CN 107080545 A CN107080545 A CN 107080545A CN 201710178669 A CN201710178669 A CN 201710178669A CN 107080545 A CN107080545 A CN 107080545A
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eeg signal
lie
data
signal
eeg
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CN107080545B (en
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胡斌
蔡涵书
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Lanzhou University
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Lanzhou University
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    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/16Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state
    • A61B5/164Lie detection
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316Modalities, i.e. specific diagnostic methods
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316Modalities, i.e. specific diagnostic methods
    • A61B5/369Electroencephalography [EEG]

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  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Medical Informatics (AREA)
  • Molecular Biology (AREA)
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  • General Health & Medical Sciences (AREA)
  • Animal Behavior & Ethology (AREA)
  • Physics & Mathematics (AREA)
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  • Pathology (AREA)
  • Biomedical Technology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Psychology (AREA)
  • Psychiatry (AREA)
  • Child & Adolescent Psychology (AREA)
  • Educational Technology (AREA)
  • Developmental Disabilities (AREA)
  • Social Psychology (AREA)
  • Hospice & Palliative Care (AREA)
  • Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)

Abstract

A kind of lie detection system based on brain electricity of disclosure of the invention, belongs to lie detection system field.A kind of lie detection system based on brain electricity, including acquiring brain waves sensing system, eeg signal pretreatment system, eeg signal Feature Extraction System, eeg signal classification model construction system, database support system, Computerized analysis system and calculator display organization.It, which can be realized, utilizes AR model treatment interference signals, and using AR models and the adaptive predictor based on arma modeling effectively evades the error that interference signal is caused, eliminate disturbing factor, gather the data-signal of the strong subject that lies of subject and psychological quality by force that do not lie of multiple psychological qualities respectively using the system simultaneously, substantial amounts of characteristic information will be gathered to be stored in data storage system, the data-signal of suspect will be gathered by Computerized analysis system and the data-signal of subject carries out com-parison and analysis, so as to provide the result of detecting a lie of rationalization.

Description

A kind of lie detection system based on brain electricity
Technical field
Invention is related to lie detection system field, more specifically to a kind of lie detection system based on brain electricity.
Background technology
A lie detector is a kind of instrument for recording multinomial physiological reaction, can be used for assisting investigation in crime survey, so that Judge whether it is related to punishment case, analysing whether to lie using brain wave collector collection brain wave is also applied, but for The degree of accuracy is not high when the strong trained suspect of psychological quality detects a lie, on the one hand because brain wave is easily by environmental factor Interference causes degree of accuracy decline of detecting a lie, on the other hand for the strong suspect of psychological quality because the information content that can be referred to compares Few, not very clearly, the fluctuation only according to brain wave is difficult to accurate judgement to feature.
The content of the invention
1. the technical problem to be solved
The not high problem of the degree of accuracy, invention during for being detected a lie present in prior art to the strong trained suspect of psychological quality Purpose be to provide a kind of lie detection system based on brain electricity, it can realize that trained suspect strong to psychological quality surveys The degree of accuracy is high during lie.
2. technical scheme
To solve the above problems, invention is adopted the following technical scheme that.
It is a kind of based on brain electricity lie detection system, including acquiring brain waves sensing system, eeg signal pretreatment system, Eeg signal Feature Extraction System, eeg signal classification model construction system, database support system, Computerized analysis system and Calculator display organization, the acquiring brain waves sensing system, eeg signal pretreatment system, eeg signal feature are carried System, eeg signal classification model construction system is taken to be sequentially connected, the eeg signal classification model construction system and database are supported System is connected with Computerized analysis system, and the Computerized analysis system is connected with calculator display organization, the brain wave Signal pre-processing system includes removing interference Wavelet Transformation Algorithm, AR models and the adaptive predictor based on AR models, the number According to storehouse support that system includes data storage system, it is strong that the acquiring brain waves sensing system gathers a large amount of psychological qualities respectively Do not lie the eeg signal of the subject that lies of subject and psychological quality by force, the data storage system stores psychology respectively The strong treated eeg signal of the subject that lies of subject and psychological quality by force of not lying of quality, the computer point Analysis system includes data extractor, data sink and data comparator, and acquiring brain waves sensing system gathers EEG signals, Interference signal disturbs Wavelet Transformation Algorithm preliminary treatment interference signal by going, and using AR model treatment interference signals, and utilizes AR models and adaptive predictor based on AR models effectively evade the error that interference signal is caused, and eliminate disturbing factor, simultaneously Gather the data of the strong subject that lies of subject and psychological quality by force that do not lie of multiple psychological qualities respectively using the system Signal, will gather substantial amounts of characteristic information and is stored in data storage system, suspect will be gathered by Computerized analysis system Data-signal and subject data-signal carry out com-parison and analysis, so as to provide the result of detecting a lie of rationalization.
Preferably, the acquiring brain waves sensing system uses 3 conductive electrode sensors, pre-amplification circuit, filtered electrical Road and AD converter, 3 are led after brain electrode sensor collection signal, and faint EEG signals are put by pre-amplification circuit Greatly, processing is filtered to original EEG signals by filter circuit, signal is converted into data signal by 16 bit A/D converters.
Preferably, the filter circuit is made up of low pass circuit and trap circuit, and trap circuit effectively tackles brain telecommunications Number collection when Hz noise.
Preferably, the eeg signal classification model construction system uses the number of newest " 973 " project analysis of experimental data According to index parameter based on model, the data model of the huge experimental data system of " 973 " project has precision height, data mould The low feature of disequilibrium of type, user is understandable easy-to-use, can carry out cross validation with data with existing, further increase and detect a lie The degree of accuracy.
Preferably, the acquiring brain waves sensing system is counted using bluetooth 2.0 EEG signals collected sending into brain EEG signals are sent into computer, efficiency of transmission is high by electric wave signal pretreatment system by bluetooth 2.0.
Preferably, calculator display organization is histogrammic dynamic using the index such as EEG power spectrum array of figure or brain electricity θ, α, β State is shown, realizes that the electric index of brain is real-time by the histogrammic Dynamic Announce of index such as EEG power spectrum array of figure or brain electricity θ, α, β Monitoring, intuitively, grasps suspect's cerebral functional lateralitv exactly.
3. beneficial effect
Compared to prior art, the advantage of invention is:
(1)The acquiring brain waves sensing system collection EEG signals of this programme, interference signal is by going interference wavelet transformation to calculate Method preliminary treatment interference signal, using AR model treatment interference signals, and using AR models and based on the adaptive pre- of AR models Survey device and effectively evade the error that interference signal is caused, eliminate disturbing factor, while gathering multiple psychology elements respectively using the system The strong subject that lies of subject and psychological quality by force that do not lie of matter, will gather substantial amounts of characteristic information and is stored in data storage In system, the data-signal of suspect will be gathered by Computerized analysis system and the data-signal of subject carries out analysis ratio Compared with so as to provide the result of detecting a lie of rationalization.
(2)3 are led after brain electrode sensor collection signal, and faint EEG signals are put by pre-amplification circuit Greatly, processing is filtered to original EEG signals by filter circuit, signal is converted into data signal by 16 bit A/D converters.
(3)Trap circuit effectively tackles Hz noise during eeg signal acquisition.
(4)The data model of the huge experimental data system of " 973 " project has precision height, the disequilibrium of data model Low feature, user is understandable easy-to-use, can carry out cross validation with data with existing, further increase the degree of accuracy of detecting a lie.
(5)EEG signals are sent into by computer by bluetooth 2.0, efficiency of transmission is high.
(6)The electric index of brain is realized by the histogrammic Dynamic Announce of index such as EEG power spectrum array of figure or brain electricity θ, α, β Monitoring in real time, intuitively, grasps suspect's cerebral functional lateralitv exactly.
Brief description of the drawings
Fig. 1 is systematic schematic diagram of the invention;
Fig. 2 is acquiring brain waves sensing system block diagram of the invention;
Fig. 3 is eeg signal pretreatment system schematic diagram of the invention;
Fig. 4 supports system block diagram for the database of the present invention;
Fig. 5 is Computerized analysis system block diagram of the invention.
Embodiment
Below in conjunction with the accompanying drawing in inventive embodiments;Technical scheme in inventive embodiments is carried out clearly and completely Description;Obviously;Described embodiment is only a part of embodiment of invention;Rather than whole embodiments.Based in invention Embodiment;The every other embodiment that those of ordinary skill in the art are obtained under the premise of creative work is not made; Belong to the scope of invention protection.
Embodiment 1:
Fig. 1-5 are referred to, a kind of lie detection system based on brain electricity, including acquiring brain waves sensing system, eeg signal are pre- Processing system, eeg signal Feature Extraction System, eeg signal classification model construction system, database support system, computer Analysis system and calculator display organization, acquiring brain waves sensing system, eeg signal pretreatment system, eeg signal Feature Extraction System, eeg signal classification model construction system are sequentially connected, eeg signal classification model construction system and database branch Hold system with Computerized analysis system to be connected, Computerized analysis system is connected with calculator display organization, and eeg signal is pre- Processing system includes removing interference Wavelet Transformation Algorithm, AR models and the adaptive predictor based on AR models, and database supports system System includes data storage system, acquiring brain waves sensing system gather respectively a large amount of psychological qualities it is strong do not lie subject with The eeg signal of the subject that lies of psychological quality by force, data storage system store respectively psychological quality it is strong do not lie tested The treated eeg signal of the subject that lies of person and psychological quality by force, Computerized analysis system include data extractor, Data sink and data comparator, acquiring brain waves sensing system collection EEG signals, interference signal is by going interference small Wave conversion algorithmic preliminaries handle interference signal, using AR model treatment interference signals, and using AR models and based on AR models Adaptive predictor effectively evades the error that interference signal is caused, and disturbing factor is eliminated, while gathering many respectively using the system The data-signal of the strong subject that lies of subject and psychological quality by force that do not lie of individual psychological quality, will gather substantial amounts of feature Information is stored in data storage system, by Computerized analysis system by gather suspect data-signal and subject number It is believed that number progress com-parison and analysis, so as to provide the result of detecting a lie of rationalization.
Acquiring brain waves sensing system uses 3 conductive electrode sensors, pre-amplification circuit, filter circuit and AD conversion Device, 3 are led after brain electrode sensor collection signal, and faint EEG signals are amplified by pre-amplification circuit, pass through filter Wave circuit is filtered processing to original EEG signals, and signal is converted into data signal, filter circuit by 16 bit A/D converters It is made up of low pass circuit and trap circuit, trap circuit effectively tackles Hz noise during eeg signal acquisition, brain wave letter Number classification model construction system is using index parameter, " 973 " based on the data model of newest " 973 " project analysis of experimental data The data model of the huge experimental data system of project has precision height, the low feature of disequilibrium of data model, Yong Huyi Understand easy-to-use, cross validation can be carried out with data with existing, the degree of accuracy of detecting a lie, acquiring brain waves sensing system is further increased Counted using bluetooth 2.0 and the EEG signals collected are sent into eeg signal pretreatment system, by bluetooth 2.0 by EEG signals Computer is sent into, efficiency of transmission is high, and calculator display organization uses the index Nogata such as EEG power spectrum array of figure or brain electricity θ, α, β The Dynamic Announce of figure, realizes that brain electricity refers to by the histogrammic Dynamic Announce of index such as EEG power spectrum array of figure or brain electricity θ, α, β Mark monitoring in real time, intuitively, grasps suspect's cerebral functional lateralitv exactly.
Operation principle:Strong do not lie subject and the psychological quality of multiple psychological qualities is gathered by the system respectively first Strong subject data signal of lying, will gather substantial amounts of characteristic information and is stored in data storage system, so as to be configured to one Individual rational database supports system, when the suspect strong to psychological quality detects a lie, passes through acquiring brain waves sensing system Eeg signal is gathered, and the signal of collection is sent to eeg signal pretreatment system by bluetooth 2.0, by disturbing small echo Convert algorithmic preliminaries processing interference signal, using AR model treatment interference signals, and using AR models and based on AR models from Adaptive prediction device effectively evades the error that interference signal is caused, and eliminates disturbing factor, the eeg signal of pretreatment is passed through into brain Signal characteristics extraction system extracts substantial amounts of characteristic information, using the data mould of newest " 973 " project analysis of experimental data The data sink that index parameter is carried out in classification model construction, Computerized analysis system based on type receives modeling information, and leads to The mass data information crossed in data extractor extraction database support system, utilizes data analysis comparator com-parison and analysis suspicion The brain electric information of people and the brain electric information of subject, and shown by calculator display organization, so as to provide detecting a lie for rationalization As a result.
It is described above, only invention preferably embodiment;But the protection domain of invention is not limited thereto;It is any Those familiar with the art is in the technical scope that invention is disclosed;According to the technical scheme of invention and its improvement design It is subject to equivalent substitution or change;It should all cover in the protection domain of invention.

Claims (6)

1. a kind of lie detection system based on brain electricity, it is characterised in that:It is pre- including acquiring brain waves sensing system, eeg signal Processing system, eeg signal Feature Extraction System, eeg signal classification model construction system, database support system, computer Analysis system and calculator display organization, the acquiring brain waves sensing system, eeg signal pretreatment system, brain wave Signal characteristic abstraction system, eeg signal classification model construction system are sequentially connected, the eeg signal classification model construction system and Database supports system to be connected with Computerized analysis system, and the Computerized analysis system is connected with calculator display organization, The eeg signal pretreatment system includes removing interference Wavelet Transformation Algorithm, AR models and the adaptive prediction based on AR models Device, the database supports system to include data storage system, and the acquiring brain waves sensing system gathers a large amount of hearts respectively Manage the eeg signal of the strong subject that lies of subject and psychological quality by force that do not lie of quality, the data storage system point Cun Chu not psychological quality strong the do not lie treated eeg signal of the subject that lies of subject and psychological quality by force, institute Stating Computerized analysis system includes data extractor, data sink and data comparator.
2. a kind of lie detection system based on brain electricity according to claim 1, it is characterised in that:The acquiring brain waves sensing Device system uses 3 conductive electrode sensors, pre-amplification circuit, filter circuit and AD converter.
3. a kind of lie detection system based on brain electricity according to claim 2, it is characterised in that:The filter circuit is by low pass Circuit and trap circuit composition.
4. a kind of lie detection system based on brain electricity according to claim 1, it is characterised in that:The eeg signal classification Modeling is using index parameter based on the data model of newest " 973 " project analysis of experimental data.
5. a kind of lie detection system based on brain electricity according to claim 1 or 2, it is characterised in that:The acquiring brain waves Sensing system is counted using bluetooth 2.0 EEG signals collected sending into eeg signal pretreatment system.
6. a kind of lie detection system based on brain electricity according to claim 1, it is characterised in that:Calculator display organization is used The histogrammic Dynamic Announce of index such as EEG power spectrum array of figure or brain electricity θ, α, β.
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Cited By (6)

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CN107510888A (en) * 2017-08-17 2017-12-26 天津大学 The local field potentials for removing DBS artefacts based on DSP+FPGA test and analyze platform in real time
CN108403112A (en) * 2018-04-02 2018-08-17 东北电力大学 The method for carrying out organoleptic substances classification based on smell brain wave and GS-SVM
CN108836325A (en) * 2018-04-02 2018-11-20 东北电力大学 A method of organoleptic substances classification is carried out based on smell brain wave and random forest
CN110192877A (en) * 2019-05-24 2019-09-03 中南民族大学 Based on the lie detecting method for more leading the EEG signals degree of bias
CN110192880A (en) * 2019-05-24 2019-09-03 中南民族大学 Based on the lie detecting method for more leading EEG signals Granger Causality
CN113317802A (en) * 2021-05-21 2021-08-31 上海六河创意设计有限公司 Information early warning system and method based on brain waves

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Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107510888A (en) * 2017-08-17 2017-12-26 天津大学 The local field potentials for removing DBS artefacts based on DSP+FPGA test and analyze platform in real time
CN108403112A (en) * 2018-04-02 2018-08-17 东北电力大学 The method for carrying out organoleptic substances classification based on smell brain wave and GS-SVM
CN108836325A (en) * 2018-04-02 2018-11-20 东北电力大学 A method of organoleptic substances classification is carried out based on smell brain wave and random forest
CN110192877A (en) * 2019-05-24 2019-09-03 中南民族大学 Based on the lie detecting method for more leading the EEG signals degree of bias
CN110192880A (en) * 2019-05-24 2019-09-03 中南民族大学 Based on the lie detecting method for more leading EEG signals Granger Causality
CN113317802A (en) * 2021-05-21 2021-08-31 上海六河创意设计有限公司 Information early warning system and method based on brain waves

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