KR101842707B1 - Control mehtod for security system using brain wave - Google Patents

Control mehtod for security system using brain wave Download PDF

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KR101842707B1
KR101842707B1 KR1020160017347A KR20160017347A KR101842707B1 KR 101842707 B1 KR101842707 B1 KR 101842707B1 KR 1020160017347 A KR1020160017347 A KR 1020160017347A KR 20160017347 A KR20160017347 A KR 20160017347A KR 101842707 B1 KR101842707 B1 KR 101842707B1
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eeg
sound wave
frequency
wave
feature
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KR1020160017347A
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Korean (ko)
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KR20170096279A (en
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송지성
박수조
주현필
이가현
이은영
김소리
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한양대학교 에리카산학협력단
송지성
박수조
주현필
이가현
이은영
김소리
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Priority to KR1020160017347A priority Critical patent/KR101842707B1/en
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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
    • A61B5/0476—
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/011—Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
    • G06F3/015—Input arrangements based on nervous system activity detection, e.g. brain waves [EEG] detection, electromyograms [EMG] detection, electrodermal response detection
    • G06K9/00496—

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  • Theoretical Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Computer Security & Cryptography (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • General Health & Medical Sciences (AREA)
  • Neurosurgery (AREA)
  • Human Computer Interaction (AREA)
  • Neurology (AREA)
  • Health & Medical Sciences (AREA)
  • Dermatology (AREA)
  • Biomedical Technology (AREA)
  • Computer Hardware Design (AREA)
  • Software Systems (AREA)
  • Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)

Abstract

The present invention provides a method of operating a security system capable of releasing a lock using an EEG.
According to an aspect of the present invention, there is provided a method of operating a security system using an EEG, the EEG method including a step of storing an EEG in which a user's EEG is received a plurality of times and extracted as a feature in a user's EEG, Determining whether a received EEG is caused by a sound wave, comparing EEGs with stored EEGs to determine whether they are coincident with each other, and comparing the received EEG with stored EEGs And an unlocking step of releasing the unlocking step.

Description

TECHNICAL FIELD [0001] The present invention relates to a security system using a brain wave,

The present invention relates to a method of operating a security system, and more particularly, to a method of operating a security system using an EEG.

Generally, brain waves are biological signals that directly or indirectly reflect human consciousness or unconscious state, and refers to a wavelength having a frequency of 30 Hz or less with a potential difference of tens of microvolts measured in all regions of human scalp.

These EEGs are classified into a delta wave, a theta wave, an alpha wave, a beta wave, and a gamma wave by frequency band. The delta wave is a brain wave with a frequency of less than 4Hz and typically appears in a normal sleep state. Theta wave is an EEG having a frequency of about 4 to 8 Hz, which is mainly observed when the state is disturbed or distracted. .

The alpha wave is an electroencephalogram with a frequency of about 8 to 12 Hz, which is generally stable when the mental state is stable, and the eye is closed and taking a relaxed psychological state. Alpha waves also occur when there is a high degree of concentration to separate from the surrounding situation, or when psychological stabilization has occurred due to meditation. Gamma wave is an EEG having a frequency of 30 to 50 Hz and appears in an excited state.

Beta waves refer to the EEG with a frequency of about 12 to 30 Hz, which is mainly observed when a little tension or attention is paid. Beta waves are widespread throughout the brain when exercising, learning, or performing tasks. The beta wave is divided into an SMR wave having a frequency of 12 to 15 Hz, an intermediate beta wave having a frequency of 15 to 18 Hz, and a high-beta wave having a frequency of 20 Hz or more. Beta waves are more stressful when exposed to stress such as anxiety or tension.

When attention is paid, SMR wave appears. When concentrated and normal activities are performed, middle beta waves with a frequency of 15 to 18 Hz appear in the left brain, and Kobe beat exceeding 20 Hz appears when tension and anxiety continue.

The present invention provides a method of operating a security system capable of releasing a lock using an EEG.

According to an aspect of the present invention, there is provided a method of operating a security system using an EEG, the EEG method including a step of storing an EEG in which a user's EEG is received a plurality of times and extracted as a feature in a user's EEG, Determining whether a received EEG is caused by a sound wave, comparing EEGs with stored EEGs to determine whether they are coincident with each other, and comparing the received EEG with stored EEGs And an unlocking step of releasing the unlocking step.

Here, the sound wave generating step may generate a sound wave having a non-audible frequency.

Further, the sound wave generating step may generate a sound wave having a frequency of 1 Hz to 30 Hz.

In addition, the sound wave generator may generate a sound wave having a frequency of 20 kHz to 500 kHz.

In addition, the sound wave generating step may include a uniform sound wave step of generating a sound wave having a uniform frequency.

The sound wave generating step may include a frequency converting step of generating a sound wave while changing a frequency.

The sound wave generating step may include a gap generating step of periodically generating a sound wave to generate a gap which is a section in which sound waves are not generated.

In addition, the EEG storage step may include a feature extraction step of extracting a user's brain wave characteristic by comparing the input user's brain wave with pre-stored generalized brain waves.

In addition, the EEG storage step may further include an average determination step of determining a feature repeatedly appearing in the user's EEG inputted a plurality of times, and a storing step of storing the EEG feature of the user as a feature EEG.

Also, the EEG comparison step may include a reaction time determination step of comparing the EEG received in response to the sound wave and the stored EEG, and determining whether the time is in agreement with the stimulus.

The EEG comparison step may include a peak value determination step of comparing the received EEG in response to the sound wave and the stored EEP, and determining whether the maximum intensity of the EEG matches.

The EEG comparison step may include a rest period determination step of comparing the received EEG in response to the sound wave and the stored EEG, and determining whether the EEG changes according to the frequency change of the sound wave.

In addition, the method of driving the security system may further include a display step of informing a display installed on a door or a wall of the generation of a sound wave, wherein the displaying step may display the wavelength of the sound wave on the display.

As described above, according to the present invention, it is possible to provide a security system that is more secure and can be easily unlocked by storing the user's brain wave characteristics and comparing the received brain waves with the stored brain waves to unlock the security system, and a driving method thereof.

1 is a schematic view for explaining a security system using EEG according to a first embodiment of the present invention.
2 is a block diagram illustrating a security system using EEG according to a first embodiment of the present invention.
3 is a flowchart illustrating a method of operating a security system using an EEG according to the first embodiment of the present invention.
4 is a schematic view for explaining a security system using EEG according to a second embodiment of the present invention.
5 is a block diagram illustrating a security system using EEG according to a second embodiment of the present invention.
6 is a flowchart illustrating a method of driving a security system using an EEG according to a second embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those skilled in the art can easily carry out the present invention. The present invention can be variously modified and may have various embodiments, and specific embodiments will be described in detail with reference to the drawings. It should be understood, however, that the invention is not intended to be limited to the particular embodiments, but includes all modifications, equivalents, and alternatives falling within the spirit and scope of the invention.

Terms including ordinals, such as first, second, etc., may be used to describe various elements, but the elements are not limited to these terms. The terms are used only for the purpose of distinguishing one component from another.

For example, without departing from the scope of the present invention, the first component may be referred to as a second component, and similarly, the second component may also be referred to as a first component. And / or < / RTI > includes any combination of a plurality of related listed items or any of a plurality of related listed items.

Unless defined otherwise, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Terms such as those defined in commonly used dictionaries are to be interpreted as having a meaning consistent with the contextual meaning of the related art and are to be interpreted as either ideal or overly formal in the sense of the present application Do not.

FIG. 1 is a schematic diagram for explaining a security system using an EEG according to a first embodiment of the present invention. FIG. 2 is a block diagram illustrating a security system using an EEG according to the first embodiment of the present invention.

1 and 2, the security system 100 using the EEG according to the first embodiment includes an EEG measuring unit 10, an EEG transmitting unit 30, and a locking device 20 .

The EEG measuring unit 10 comprises an apparatus for receiving an EEG attached to a user. The EEG measuring unit 10 may attach a plurality of electrodes to the scalp of the user 80 to measure the brain waves of the user 80 through the electrodes. In addition, the brain-wave measuring unit 10 can indirectly measure brain waves using ultraviolet rays, infrared rays, or the like. The EEG measuring unit 10 may be a headphone 60, a hair band, or a pair of glasses, and may be a hat. The brain wave transmitting unit 30 transmits the brain waves to the lock unit 20 using wireless communication.

The locking device 20 includes a sound wave generating unit 21, a feature storing unit 23, a feature determining unit 24, a pairing determining unit 25, an EEG extractor 26, .

The locking device 20 may be a door lock provided on the front door 70, and may be a locking device of the safe. The locking device 20 may also be a locking device of a laptop computer or a desktop computer.

The sound wave generating section 21 can generate a sound wave having a non-audible frequency. The sound wave generating unit 21 generates a sound wave through a speaker installed on a door or a wall, and can generate a sound wave when the user presses a button or when it is determined that a person is positioned on the proximity sensor.

The sound wave generating section 21 can generate a sound wave having a frequency of 1 Hz to 30 Hz and a sound wave having a frequency of 20 kHz to 500 kHz. When an ultrasonic wave having a frequency in the non-audible range is generated, the alpha wave is increased, and the sound wave generating part generates a sound wave which can not be heard but can change the brain waves. In addition, even when a sound wave having a frequency of a very low non-audible frequency is generated, the alpha wave is increased.

The sound wave generation unit 21 may include a uniform sound wave module 211, a frequency conversion module 212, and a gap generation module 213. The uniform sound wave module 211 generates a sound wave having a uniform frequency without changing the frequency.

The frequency conversion module 212 generates a sound wave and changes the frequency of the sound wave. The gap generation module 213 generates a sound wave intermittently to generate a gap that is a section in which sound waves are not generated.

On the other hand, the feature storage unit 23 stores a characteristic EEG capable of unlocking the locking device 20. [ The feature storage unit 23 may store a change pattern of an alpha wave generated by a sound wave.

The feature storage unit 23 includes a feature extraction module 231 that compares a user's brain wave generated in response to a sound wave with brain waves of an ordinary user and extracts a user's brain wave feature, An average determination module 232 for determining a feature to be displayed, and a storage module 233 for storing a user's brain wave feature as a feature brain wave.

The feature extraction module 231 compares the average brain waves of the general public with the brain waves of the user and extracts a portion of the user's brain wave that is different from that of the ordinary human. For example, the feature extraction module may determine whether a user's brain wave exhibits a strong intensity at a measurement frequency to calculate a frequency band having a characteristic peak value.

On the other hand, the average determination module 232 determines characteristics repeatedly appearing in the user's brain waves inputted a plurality of times. Even if the feature is calculated by the feature extraction module 231, the one-time appearance may be different depending on time and situation. Therefore, the average determination module 232 extracts the user's brain wave characteristics commonly appearing in various situations. The storage module 233 stores the EEG patterns of the user extracted from the feature extraction module 231 and the average determination module 232 as feature EEGs.

The feature determination unit 24 compares the EEG received in response to the sound wave with the stored feature EEG to determine whether the EEG is coincident or not. In particular, the feature determination unit 24 may extract an alpha wave among brain waves and determine whether the extracted alpha wave is consistent with the stored pattern. The feature determination unit 24 includes a reaction time determination module 241, a peak value determination module 242, a reaction frequency determination module 243, and a pause determination module 244.

The reaction time determination module 241 compares the inputted EEG with the stored feature EEG, determines whether or not the time corresponding to the stimulus matches, and determines whether the input EEG matches the feature EEG. Here, " matching time " does not necessarily mean exactly the same thing, but means that the time difference is within a predetermined range.

The peak value determination module 242 compares the input EEG with the stored feature EEG, compares the maximum intensity of the EEG in a predetermined frequency band, and determines whether the input EEG matches the feature EEG.

The reaction frequency determination module 243 compares the received EEG in response to the sound wave and the stored EEG, and determines whether the EEG changes according to the frequency change of the sound wave.

Also, the idle period determination module 244 compares the received EEG in response to the sound waves and the stored feature EEG, and determines whether or not the patterns of the noise EEG appear during the idle period in which the sound waves are not generated.

On the other hand, the EEG extractor 26 amplifies, filters, and AD-converts the received EEG waves, and extracts the alpha waves, beta waves, theta waves, and delta waves from the received EEG waves. Also, the pairing determination unit 27 determines whether the received EEG is caused by the stimulation inducing unit, and pairs the received EEG with the locking device. The security releasing unit 27 releases the locking device when it is determined that the received EEG coincides with the EEG stored in the characteristic deciding unit 24.

Hereinafter, a method of operating a security system using EEG according to the first embodiment of the present invention will be described. 3 is a flowchart illustrating a method of operating a security system using an EEG according to the first embodiment of the present invention.

Referring to FIG. 3, the method for driving the locking device using the EEG according to the first embodiment includes storing EEG waves 101 (S101), generating a sound wave (S102), determining a pairing (S103) ), And an unlocking step (S105).

In the step of storing brain waves (S101), the received user's brain waves are received a plurality of times in response to a sound wave to extract features from the user's brain waves and store them as feature brain waves. The EEG storage step (S101) can store the characteristics of the ALPHA waves that change in response to the sound waves.

The EEG storage step (S101) includes a feature extraction step of extracting a user's EEG characteristics by comparing an input EEG of the user and pre-stored EEGs of the user, and an average determination step of determining repeated features of the EEG input And a storing step of storing the user's brain wave characteristic as a characteristic brain wave.

The sound wave generation step (S102) can generate a sound wave having the non-audible frequency. The sound wave generation step (S102) generates a sound wave through a speaker installed on a door or a wall, and can generate a sound wave when the user presses a button or when it is determined that a person is positioned on the proximity sensor.

The sound wave generation step (S102) can generate a sound wave having a frequency of 1 Hz to 30 Hz and a sound wave having a frequency of 20 kHz to 500 kHz. When an ultrasonic wave having a frequency in the non-audible range is generated, the alpha wave is increased, and the sound wave generating part generates a sound wave which can not be heard but can change the brain waves. In addition, even when a sound wave having a frequency of a very low non-audible frequency is generated, the alpha wave is increased.

The sound wave generating step (S102) may include at least one of a uniform sound wave step, a frequency converting step, and a gap generating step. The uniform sound wave step generates a sound wave having a uniform frequency without changing the frequency.

The frequency conversion step generates a sound wave and changes the frequency of the sound wave. The gap generation step generates a sound wave intermittently to generate a gap that is a section in which sound waves are not generated.

Meanwhile, the pairing determination step (S103) determines whether the received EEG has been induced by stimulation, and pairs the EEG with the user's EEG.

In the EEG comparison step (S104), the EEG received in response to the sound wave is compared with the characteristic EEG stored in the lock device to determine whether the EEG is coincident or not. In the EEG comparison step (S104), the pattern of the ALPHA wave that is changed by the sound wave can be compared with the stored characteristic EEG.

The EEG comparison step S104 may include a reaction time determination step of comparing the EEG received in response to the sound wave with the stored EEG, and determining whether the time corresponding to the stimulus is matched.

The EEG comparison step S104 compares the EEG received in response to the sound wave with the stored EEG, compares the maximum intensity of the EEG in a predetermined frequency band, and determines whether the input EEG matches the EEG Step < / RTI >

The EEG comparison step S104 may include a peak value determination step of determining whether or not the maximum intensity of the received EEG is consistent with the sound wave. The EEG comparison step S104 may include a noise determination step of comparing the EEG received in response to the sound wave and the stored feature EEG to determine whether the pattern of the EEG exhibits a fine intensity less than a predetermined intensity .

The unlocking step (S105) releases the locking device when it is determined that the received EEG coincides with the stored characteristic EEG.

Hereinafter, a security system using an EEG according to a second embodiment of the present invention will be described.

FIG. 4 is a schematic diagram for explaining a security system using an EEG according to a second embodiment of the present invention, and FIG. 5 is a configuration diagram illustrating a security system using EEG according to a second embodiment of the present invention.

4 and 5, the security system 200 using the EEG according to the second embodiment includes an EEG measuring unit 10, an EEG transmitting unit 30, and a locking device 20 .

The EEG measuring unit 10 comprises an apparatus for receiving an EEG attached to a user. The EEG measuring unit 10 may attach a plurality of electrodes to the scalp of the user 80 to measure the brain waves of the user 80 through the electrodes. In addition, the brain-wave measuring unit 10 can indirectly measure brain waves using ultraviolet rays, infrared rays, or the like. The EEG measuring unit 10 may be a headphone 60, a hair band, or a pair of glasses, and may be a hat. The brain wave transmitting unit 30 transmits the brain waves to the lock unit 20 using wireless communication.

The locking device 20 includes a sound wave generating unit 21, a feature storing unit 23, a feature determining unit 24, a pairing determining unit 25, an EEG extracting unit 26, a security releasing unit 27, (28).

The locking device 20 may be a door lock provided on the front door 70, and may be a locking device of the safe. The locking device 20 may also be a locking device of a laptop computer or a desktop computer.

The sound wave generating section 21 can generate a sound wave having a non-audible frequency. The sound wave generating unit 21 generates a sound wave through a speaker installed on a door or a wall, and can generate a sound wave when the user presses a button or when it is determined that a person is positioned on the proximity sensor.

The sound wave generating section 21 can generate a sound wave having a frequency of 1 Hz to 30 Hz and a sound wave having a frequency of 20 kHz to 500 kHz. When an ultrasonic wave having a frequency in the non-audible range is generated, the alpha wave is increased, and the sound wave generating part generates a sound wave which can not be heard but can change the brain waves. In addition, even when a sound wave having a frequency of a very low non-audible frequency is generated, the alpha wave is increased.

The sound wave generation unit 21 may include a uniform sound wave module 211, a frequency conversion module 212, and a gap generation module 213. The uniform sound wave module 211 generates a sound wave having a uniform frequency without changing the frequency.

The frequency conversion module 212 generates a sound wave and changes the frequency of the sound wave. The gap generation module 213 generates a sound wave intermittently to generate a gap that is a section in which sound waves are not generated.

On the other hand, the feature storage unit 23 stores a characteristic EEG capable of unlocking the locking device 20. [ The feature storage unit 23 may store a change pattern of an alpha wave generated by a sound wave.

The feature storage unit 23 includes a feature extraction module 231 that compares a user's brain wave generated in response to a sound wave with brain waves of an ordinary user and extracts a user's brain wave feature, An average determination module 232 for determining a feature to be displayed, and a storage module 233 for storing a user's brain wave feature as a feature brain wave.

The feature extraction module 231 compares the average brain waves of the general public with the brain waves of the user and extracts a portion of the user's brain wave that is different from that of the ordinary human. For example, the feature extraction module may determine whether a user's brain wave exhibits a strong intensity at a measurement frequency to calculate a frequency band having a characteristic peak value.

On the other hand, the average determination module 232 determines characteristics repeatedly appearing in the user's brain waves inputted a plurality of times. Even if the feature is calculated by the feature extraction module 231, the one-time appearance may be different depending on time and situation. Therefore, the average determination module 232 extracts the user's brain wave characteristics commonly appearing in various situations. The storage module 233 stores the EEG patterns of the user extracted from the feature extraction module 231 and the average determination module 232 as feature EEGs.

The feature determination unit 24 compares the EEG received in response to the sound wave with the stored feature EEG to determine whether the EEG is coincident or not. In particular, the feature determination unit 24 may extract an alpha wave among brain waves and determine whether the extracted alpha wave is consistent with the stored pattern. The feature determination unit 24 includes a reaction time determination module 241, a peak value determination module 242, a reaction frequency determination module 243, and a pause determination module 244.

The reaction time determination module 241 compares the inputted EEG with the stored feature EEG, determines whether or not the time corresponding to the stimulus matches, and determines whether the input EEG matches the feature EEG. Here, " matching time " does not necessarily mean exactly the same thing, but means that the time difference is within a predetermined range.

The peak value determination module 242 compares the input EEG with the stored feature EEG, compares the maximum intensity of the EEG in a predetermined frequency band, and determines whether the input EEG matches the feature EEG.

The reaction frequency determination module 243 compares the received EEG in response to the sound wave and the stored EEG, and determines whether the EEG changes according to the frequency change of the sound wave.

Also, the idle period determination module 244 compares the received EEG in response to the sound waves and the stored feature EEG, and determines whether or not the patterns of the noise EEG appear during the idle period in which the sound waves are not generated.

On the other hand, the EEG extractor 26 amplifies, filters, and AD-converts the received EEG waves, and extracts the alpha waves, beta waves, theta waves, and delta waves from the received EEG waves. Also, the pairing determination unit 27 determines whether the received EEG is caused by the stimulation inducing unit, and pairs the received EEG with the locking device. The security releasing unit 27 releases the locking device when it is determined that the received EEG coincides with the EEG stored in the characteristic deciding unit 24.

The security system 200 using the EEG may further include a display unit 28 installed on a door or a wall to inform the user of the occurrence of a sound wave. As shown in FIG. 4, the display unit 28 may display the wavelength of the sound wave on the display 80. [

Hereinafter, a method of operating a security system using an EEG according to a second embodiment of the present invention will be described. 6 is a flowchart illustrating a method of driving a security system using an EEG according to a second embodiment of the present invention.

Referring to FIG. 3, the method for driving the locking device using the EEG according to the first embodiment includes storing EEG waves (S201), generating sound waves (S202), displaying (S203), determining a pairing (S204) An EEG comparison step S205, and an unlocking step S206.

In the step of storing brain waves (S201), a received user's brain wave is received a plurality of times in response to a sound wave, and a feature is extracted from a user's brain wave and stored as a feature brain wave. The EEG storage step (S201) can store the characteristics of the ALPHA waves that change in response to the sound waves.

The EEG storage step S201 includes a feature extraction step of extracting a user's EEG feature by comparing an input EEG of the user and pre-stored EEGs of the user, and an average determination step of determining repeated features of the EEG input of the user And a storing step of storing the user's brain wave characteristic as a characteristic brain wave.

The sound wave generating step (S202) can generate a sound wave having the non-audible frequency. The sound wave generation step (S202) generates a sound wave through a speaker installed on a door or a wall, and can generate a sound wave when the user presses a button or when it is determined that a person is positioned on the proximity sensor.

The sound wave generation step (S202) can generate a sound wave having a frequency of 1 Hz to 30 Hz and a sound wave having a frequency of 20 kHz to 500 kHz. When an ultrasonic wave having a frequency in the non-audible range is generated, the alpha wave is increased, and the sound wave generating part generates a sound wave which can not be heard but can change the brain waves. In addition, even when a sound wave having a frequency of a very low non-audible frequency is generated, the alpha wave is increased.

The sound wave generation step S202 may include at least one of a uniform sound wave step, a frequency conversion step, and a gap generation step. The uniform sound wave step generates a sound wave having a uniform frequency without changing the frequency.

The frequency conversion step generates a sound wave and changes the frequency of the sound wave. The gap generation step generates a sound wave intermittently to generate a gap that is a section in which sound waves are not generated.

In the display step S203, the fact that the sound wave is generated on the door or the display provided on the wall surface is notified, and the wavelength of the sound wave can be displayed on the display.

Meanwhile, the pairing determination step (S204) determines whether the received EEG has been induced by stimulation, and pairs the EEG with the user's brain wave.

In the EEG comparison step (S205), the EEG received in response to the sound wave is compared with the feature EEG stored in the lock device to determine coincidence. In the EEP comparison step (S205), the pattern of the ALPHA wave that is changed by the sound wave can be compared with the stored characteristic EEG.

The EEG comparison step S205 may include a reaction time determination step of comparing the EEG received in response to the sound wave with the stored EEG, and determining whether the time corresponding to the stimulus is matched.

The EEG comparison step S205 compares the EEG received in response to the sound wave with the stored EEG, compares the maximum intensity of the EEG in a predetermined frequency band, and determines whether the input EEG matches the characteristic EEG Step < / RTI >

The EEG comparison step S205 may include a peak value determination step of determining whether or not the maximum intensity of the received EEG in the response to the sound waves coincides with each other. The EEG comparison step S205 may include a noise determination step of comparing the EEG received in response to the sound wave with the stored feature EEG to determine whether or not a pattern of a noise EEG exhibits a minute intensity below a predetermined intensity .

In the unlocking step S206, when it is determined that the received EEG coincides with the stored feature EEG, the lock device is unlocked.

As described above, preferred embodiments of the present invention have been disclosed in the present specification and drawings, and although specific terms have been used, they have been used only in a general sense to easily describe the technical contents of the present invention and to facilitate understanding of the invention , And are not intended to limit the scope of the present invention. It is to be understood by those skilled in the art that other modifications based on the technical idea of the present invention are possible in addition to the embodiments disclosed herein.

100, 200: Security system
10: EEG measurement unit
20: Locking device
21: Sound wave generator
23: Feature storage unit
24:
25:
26: EEG extractor
27:
28:
30: EEG transmission unit

Claims (13)

A brain wave storing step of receiving user's brain waves a plurality of times and extracting them as characteristics from the user's brain waves and storing them as characteristic brain waves;
A sound wave generating step of generating a sound wave;
A pairing determination step of determining whether a received EEG is caused by a sound wave;
Comparing the received EEG with stored EEG; And
And releasing the lock if it is determined that the received EEG coincides with the stored feature EEG,
Wherein the EEG storing step includes a feature extracting step of extracting an EEG feature of a user by comparing an EEG wave of an input user with an EEG wave of an ordinary user.
The method according to claim 1,
Wherein the sound wave generating step generates a sound wave having a non-audible frequency.
The method according to claim 1,
Wherein the sound wave generating step generates a sound wave having a frequency of 1 Hz to 30 Hz.
The method according to claim 1,
Wherein the sound wave generating step generates a sound wave having a frequency of 20 kHz to 500 kHz.
The method according to claim 1,
Wherein the sound wave generating step includes a uniform sound wave step of generating a sound wave having a uniform frequency.
The method according to claim 1,
Wherein the sound wave generating step includes a frequency converting step of generating a sound wave while changing a frequency.
The method according to claim 1,
Wherein the generating of the sound wave includes generating a gap, which is a section in which a sound wave is not generated by periodically generating a sound wave.
delete The method according to claim 1,
Wherein the EEG storing step further comprises an average determining step of determining a feature repeatedly appearing in a user's EEG inputted a plurality of times and a storing step of storing a user's EEG feature as a feature EEG. Driving method.
10. The method of claim 9,
Wherein the EEG comparison step includes a reaction time determination step of comparing the EEG received in response to the sound wave with the stored EEG, and determining whether the time is in agreement with the stimulus.
11. The method of claim 10,
Wherein the comparing step includes comparing a received EEG in response to a sound wave and a stored feature EEG to determine whether the maximum EEG intensity coincides with each other.
12. The method of claim 11,
Wherein the EEG comparison step includes a rest period determination step of comparing the EEG waves received in response to the sound waves and the stored characteristic EEGs to determine whether the EEG changes according to the frequency change of the sound waves are consistent with each other .
The method according to claim 1,
The method of driving the security system may further include a display step of informing a display installed on a door or a wall of the generation of a sound wave, and the displaying step displays the wavelength of a sound wave on the display. Way.
KR1020160017347A 2016-02-15 2016-02-15 Control mehtod for security system using brain wave KR101842707B1 (en)

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