KR20170096270A

KR20170096270A - Air conditioner control apparatus using brain wave

Info

Publication number: KR20170096270A
Application number: KR1020160017306A
Authority: KR
Inventors: 송지성; 박수조; 김우형; 정석영; 문예림; 강민욱
Original assignee: 한양대학교 에리카산학협력단; 송지성; 정석영; 문예림; 강민욱; 박수조; 김우형
Priority date: 2016-02-15
Filing date: 2016-02-15
Publication date: 2017-08-24

Abstract

The present invention provides an air conditioner driving apparatus capable of driving an air conditioner using brain waves.
According to an aspect of the present invention, there is provided an air conditioner driving apparatus using an EEG, including an EEG receiving unit for receiving EEG from a user, an EEG analyzing unit for classifying and extracting EEG types according to frequencies from received EEGs, A driving determination unit for determining an affirmative or negative intention and generating an affirmative or negative signal; a temperature controller for comparing a change in brain waves with a pre-stored pattern to determine a match and generating a signal for controlling the temperature; And a signal generator for generating a signal for driving the air conditioner when the pattern matches the pattern.

Description

TECHNICAL FIELD [0001] The present invention relates to an air conditioner driving apparatus using an air conditioner,

The present invention relates to an air conditioner driving apparatus, and more particularly, to an air conditioner driving apparatus 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. Delta waves are typically EEG waves with a frequency of less than 4 Hz and are typical of normal sleep states. Theta waves are those with frequencies in the range of 4 to 8 Hz and are often present when the state is mentally disturbed or distracted, often in adolescents with learning disabilities .

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 an air conditioner driving apparatus capable of driving an air conditioner using brain waves.

According to an aspect of the present invention, there is provided an air conditioner driving apparatus using an EEG, including an EEG receiving unit for receiving EEG from a user, an EEG analyzing unit for classifying and extracting EEG types according to frequencies from received EEGs, A driving determination unit for determining an affirmative or negative intention and generating an affirmative or negative signal; a temperature controller for comparing a change in brain waves with a pre-stored pattern to determine a match and generating a signal for controlling the temperature; And a signal generator for generating a signal for driving the air conditioner when the pattern matches the pattern.

Here, the drive determination unit may include a stress analysis unit that determines whether a beta wave or a gamma wave continuously appears for a preset time.

The driving determination unit may include a question generating module for generating and displaying a question, and an aptitude determining module for determining occurrence of a positive EEG or negative EEG for a question.

In addition, the aptitude judgment module uses a synchronization rate which is a variable indicating a direction of rotation in a phase space composed of EEG components measured at two places and a variable indicating the degree of simultaneous increase or decrease of EEG measured at two places So that it can judge a positive or negative intention.

Further, the synchronization rate

Lt; / RTI >

Here, s1 and s2 are EEG signals measured at two positions, H (x) is a step function having a value of 0 when x is negative or 0, and 1 when it is positive, and w is a step function calculating a synchronization rate Size.

Also,

Lt; / RTI >

Here, the P (t) is biased, the vector s is a two-dimensional vector composed of s1 and s2, and the unit vector [theta] is a unit vector in a direction rotating in the counterclockwise direction about the origin in the phase space consisting of s1 and s2 Lt; / RTI >

In addition, the temperature controller may include a pattern storage module in which a predetermined EEG pattern is stored.

The temperature controller may include a pattern determination module for determining whether the received EEG changes match the pattern stored in the pattern storage module and generating a signal for changing the temperature.

In addition, the pattern determination module may determine that the patterns match when the increase and decrease of the alpha waves are repeated twice within the set time period.

In addition, the pattern determination module determines that the pattern matches when the activity of the left parietal lobe is increased and the activity of the left / right frontal lobe is lowered in the determination of the activity change of the alpha wave twice or more within a predetermined time can do.

In addition, the pattern determination module can determine that the patterns match if the increase of the SMR wave and the middle beta wave is repeated twice within a predetermined period.

The temperature controller may include a gap determination module for storing a background brain wave to determine whether the background brain wave is switched to a background brain wave state when the pattern changes.

The signal generating unit may include an error signal generating module that generates an error signal when a similar pattern is inputted in the temperature adjusting unit but is not determined to be the same.

The signal generator may include an error signal generation module that generates an error signal when the pattern matching module partially and partially does not coincide among a plurality of different patterns stored in the pattern storage module.

The signal generating unit may include a driving signal generating module for generating an on signal for activating the air conditioner, an off signal for deactivating the air conditioner, or a signal for adjusting the temperature.

The air conditioner driving apparatus may further include a drive confirmation unit for determining a change in brain waves by crossing the pictures and characters when it is determined that the patterns match in the temperature controller.

In addition, the drive confirmation unit may include a picture display module for presenting a picture.

The drive confirmation unit may include a character display module for displaying characters.

The driving confirmation unit may include a brain wave change determination module that determines a brain wave change when a picture is presented and a brain wave change when a character is presented.

In addition, the EEG determining module may determine that the intensity of the setter wave is lowered and the intensity of the SMR wave and the middle beta wave are increased when the picture is presented.

In addition, the EEG change determination module can determine that the intention of the driver is to increase the intensity of the setta wave and decrease the intensity of the middle beta wave, as compared with the case where the picture is presented when changing from a picture to a letter.

In addition, the EEG change module reduces the intensity of the alpha wave in the right hemisphere and the change in the alpha wave in the left hemisphere when the figure is presented, and decreases the intensity of the alpha wave in the left hemisphere when the letter is presented, It can be judged that there is a driver who does not have the change of the alpha wave.

As described above, according to the present invention, it is possible to drive the air conditioner or adjust the temperature by using the change of brain waves.

1 is a view illustrating a living room to which an air conditioner driving apparatus according to a first embodiment of the present invention is applied.
2 is a block diagram illustrating an air conditioner driving apparatus using an EEG according to a first embodiment of the present invention.
3 is a flowchart illustrating an air conditioner driving method using an EEG according to the first embodiment of the present invention.
4 is a block diagram illustrating an air conditioner driving apparatus using an EEG according to a second embodiment of the present invention.
5 is a flowchart illustrating an air conditioner driving method 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 view showing a living room to which an air conditioner driving apparatus according to a first embodiment of the present invention is applied, and FIG. 2 is a configuration diagram illustrating an air conditioner driving apparatus using an EEG according to a first embodiment of the present invention.

1 and 2, an air conditioner driving apparatus 100 using an EEG according to the first embodiment includes an EEG receiving unit 110, an EEG analyzing unit 120, a driving determining unit 150, (130), and a signal generator (140).

The air conditioner driving apparatus 100 using the EEG according to the first embodiment is configured such that the user 10 is sitting on the couch in a living room or a room and turns on the air conditioner 30 by using the brain wave measuring instrument 20, Or turn off the device. The brain wave measuring device 20 can be formed in various forms such as a hat, a headset, and the like.

The EEG receiving unit 110 attaches a plurality of electrodes made of a cap or the like to the user's scalp and receives the user's brain waves through the electrodes. For example, a ground electrode among a plurality of electrodes is disposed at the center of a user's scalp, and a right-brain electrode and a left-brain electrode are attached to the scalp of the user on both sides thereof. At this time, the EEG receiving unit 110 selects and receives the EEG for the frontal region of the user except for the EEG or the frontal region. The EEG receiving unit 110 may have a band shape and a hat shape.

The EEG analysis unit 120 extracts the alpha waves, beta waves, theta waves, and gamma waves from the received EEG. The EEG analysis unit 120 includes an amplification module 121, a filter module 123, and an AD conversion module 125.

The amplification module 121 has an amplifier therein and amplifies the brain waves of several tens of μV to tens of mV received by the brain wave receiving unit 110 through the amplifier to 3 to 5 V to facilitate the analysis of the received brain waves.

The filter module 123 includes a plurality of analog filters to filter various noise included in the brain waves amplified by the amplification module 121. At this time, the filter is composed of a high pass filter, a band pass filter, a band stop filter, and a low pass filter. Such a high-pass filter primarily removes noise due to DC voltage, respiration, body movement, eye blinking, and the like, and the band-pass filter filters the EEG having a frequency band range to be measured. The band-stop filter removes noise due to the power supply of 50Hz or 60Hz, and the low-pass filter limits the width of the brain waves to prevent distortion and prevents distortion occurring when the brain waves are restored. The A / D conversion module 125 digitizes the EEG in the analog state extracted through the filter module 123.

The drive determination unit 150 analyzes the EEG to recognize whether or not a stress wave is generated, generates a question, and determines whether the question is positive or negative, thereby generating a drive signal of the electronic device. The driving determination unit 150 includes a stress analysis module 151, a question generation module 152, and a judgment module 153. [ The stress analysis module 151 recognizes the stressful EEG for the unpleasantness that appears when it is hot or cold. The stress analysis module 151 determines whether the beta wave or the gamma wave is in a predetermined range or more. The stress analysis module 151 determines whether or not a Kobe beat having a frequency of 20 Hz to 30 Hz occurs continuously during a predetermined time even in a stress condition among the beta waves.

The question generation module 152 generates a question in such a manner that a character is displayed on the display screen or a sound is generated. The question can be answered by asking whether or not you want to run the air conditioner.

The positive decision module 153 diagnoses the occurrence of positive EEG or negative EEG for the question. Since the change of the beta wave in the negative EEG rather than the positive EEG is definite, the positive decision module 153 can judge whether or not the negative pattern of the EEG occurs. In addition, the aptitude judgment module 153 calculates the temporal / spatial correlation of brain waves to determine whether the brain waves are positive or negative. The positive decision module 153 can determine the positive and negative by calculating the bias and synchronization rate and using it as a logic decision variable of the neural network. Here, the bias refers to the direction of rotation in the phase space composed of EEG components measured at two places, and the synchronization rate is a variable indicating the degree of simultaneous increase or decrease of EEG measured at two places.

The synchronization rate

(X) is a step function having a value of 0 when x is negative or 0, and a positive value when x is positive, and w is a step function having a synchronization rate .

On the other hand,

, Wherein P (t) is biased, the vector s is a two-dimensional vector consisting of s1 and s2, and the unit vector [theta] is rotated counterclockwise about the origin in the phase space consisting of s1 and s2 Direction unit vector.

The positive decision module 153 determines the positive and negative by assigning the synchronization rate and the bias to the variables of the classification method such as the neural network and the linear decision function. The synchronization rate and bias can be used individually, and both variables can be input. The neural network consists of a multilayer perceptron with an input layer, a hidden layer, and a node level output layer, and is already learned for logic judgment. The affirmative determination module 153 transmits an affirmative signal to the signal generator when it is determined to be affirmative.

The temperature controller 130 compares the change of the EEG with a pre-stored pattern to determine whether or not the EEG is consistent, and generates a signal for controlling the temperature. The temperature control unit 130 compares the increase / decrease of the alpha wave, beta wave, theta wave, and gamma wave among the EEG signals and compares the extracted EEG changes with pre-stored patterns to determine coincidence. The temperature control unit 130 includes a pattern storage module 131, a pattern determination module 132, and a gap determination module 134.

The pattern storage module 131 stores a predetermined EEG pattern. The EEG change pattern may be composed of a change pattern of an alpha wave, a change pattern of an SMR wave, a change pattern of a middle beta wave, a change pattern of a high beta wave, a change pattern of a setta wave, a change pattern of a gamma wave, or a combination thereof.

For example, when counting numbers from 1 to 10 in the head, and when calling a national anthem in the head, different EEGs are generated. These EEG patterns are stored in the pattern storage module. In addition, patterns of EEG that change when eyes are closed and patterns of EEG that change when recognizing characters or pictures are stored in the pattern storage module. The pattern is set such that the same pattern is repeated at least twice during a predetermined time, and the time can be set in various ranges from 10 seconds to 1 minute. The pattern storage module 131 may store different primary and secondary patterns to be subjected to continuous determination.

The pattern determination module 132 determines whether the received pattern changes with the pattern stored in the pattern storage module 131. The pattern determination module 132 determines that the patterns match when the increase and decrease of the alpha waves are repeated two or more times within the set period. When the user repeats the operation of closing and closing the eyes at intervals of 3 seconds, the alpha wave increases in the closed eye and the alpha wave decreases in the closed eye. The change pattern of the alpha wave is stored in the pattern storage module 131, The pattern determination module 132 can determine whether the pattern matches.

In determining the change in the activity of the alpha wave, the pattern determination module 132 determines that the pattern matches when the activity of the left parietal lobe is increased and the activity of the left / right frontal lobe is lowered at least twice within a preset time It can be judged. The activity of the left parietal lobe is increased and the activity of the left / right frontal lobe becomes very low. Such an increase / decrease pattern of the alpha waves is stored in the pattern storage module 131, and a pattern determination module 132 can determine whether or not such patterns match.

In addition, the pattern determination module 132 may determine that the patterns match when the increase of the SMR wave and the middle beta wave is repeated twice or more within a predetermined period. When the user recognizes a picture or a character, the SMR wave and the middle beta wave increase, and the pattern determination module 132 can determine whether the pattern matches. In addition, the pattern determination module 132 may determine whether different primary and secondary patterns are generated in succession.

The gap determination module 134 stores the background brain waves and determines whether or not the state changes to a background brain wave state when the pattern changes. Background EEG includes the EEG during open eye and EEG during relaxation, and may vary from person to person. Thus, the user registers background brain waves in advance. The gap determination module determines whether the pattern is switched to the background EEG state when the pattern is determined, and determines whether the pattern is formed repeatedly or accidentally. The user may intentionally generate an EEG pattern, and the gap determination module can determine whether the pattern is accidental or intentional in relation to the background EEG.

The air conditioner driving apparatus 100 further includes a camera 160. The temperature controlling unit analyzes the movement of the user's head through the camera and generates a signal for raising the temperature when the user pushes the chin forward and raises the head , The user can generate a signal to lower the temperature when pulling the jaw down the head.

The signal generating unit 140 generates a signal for driving the air conditioner when the extracted EEG coincides with the pre-stored pattern, and generates an error signal if the EEG does not match. The signal generating unit 140 generates infrared rays in the same manner as the remote control. The signal generation unit 140 includes an error signal generation module 141 and a drive signal generation module 143.

The error signal generation module 141 generates an error signal when a similar pattern is input in the temperature regulator 130 but is not judged to be the same. In addition, the error signal generation module 141 generates an error signal when the patterns stored in the pattern storage module 131 are partially identical to each other and partially different from each other. The error signal generation module 141 can display an error signal through the change of the LED lamp and generate a sound.

The drive signal generation module 143 generates an ON signal for activating the air conditioner or an OFF signal for deactivating the air conditioner when an affirmative signal is received. The driving signal generation module 143 generates a signal for controlling the temperature when it is determined that the patterns match.

3 is a flowchart illustrating an air conditioner driving method using an EEG according to the first embodiment of the present invention.

1 and 3, the air conditioner driving method using the EEG according to the first embodiment includes EEG receiving step S101, EEG analysis step S102, driving determination step S103, pattern determination step S104), and a signal generation step (S105).

The EEG receiving step S101 is performed by the EEG receiving unit 110 and attaches a plurality of electrodes to the user's scalp to receive the user's brain waves through the electrodes. For example, when the ground electrode of the plurality of electrodes is disposed at the center of the user's scalp, and both right and left brain electrodes are attached to the scalp of the user in the same number on both sides thereof, (S101) may be selected by receiving an EEG for the frontal region of the user or an EEG for the region excluding the frontal lobe.

The EEG analysis step (S102) extracts the alpha waves, beta waves, theta waves, and gamma waves from the received EEG. The EEG analysis step S102 includes an amplification step, a filtering step, and an AD conversion step.

The amplifying step is performed by the amplifying module 121 and amplifies the brain waves of several tens of μV to tens of mV received by the EEG receiving unit 110 to 3 to 5 V by using an amplifier.

The filtering step is performed by the filter module 123 and filters various noise included in the EEG amplified by using a plurality of analog filters. In this case, the filter may be a high pass filter, a band pass filter, a band stop filter, or a low pass filter. In this filtering step S103, a high-pass filtering step of primarily removing noise due to DC voltage, respiration, body movement, eye flickering, etc. using a high-pass filter and a frequency band range And a bandpass filtering step of filtering an EEG wave having the EEG signal.

In the filtering step, a band-stop filtering step of removing noise due to power supply of 50 Hz or 60 Hz using a band-stop filter and a bandpass filtering of a low-pass filter are used to prevent distortion, And a low-pass filtering step for preventing the low-pass filter. The A / D conversion step digitizes the EEG in the analog state using the A / D conversion module 125.

The drive determination step (S103) determines whether or not stress is received from the received EEG, generates a question, and determines whether the question is affirmative or negative, thereby generating an affirmative or negative signal.

The driving determination step S103 analyzes the EEG to recognize whether or not a stress wave is generated, generates a question, and determines whether the question is positive or negative, thereby generating a driving signal of the electronic device. The drive determination step S103 includes a stress analysis step, a question generation step, and a determination step. The stress analysis step recognizes stressful EEG for the unpleasantness that appears when it is hot or cold. The stress analysis step determines whether the beta wave or gamma wave is above a predetermined range. The stress analysis step occurs in a stress situation among the beta waves and judges whether Kobe beat having a frequency of 20 Hz to 30 Hz continuously appears for a predetermined time.

The question generating step generates a question in such a manner that a character is displayed on the display screen or a sound is generated. The question can be answered by asking whether or not you want to run the air conditioner.

The positive judgment stage diagnoses the occurrence of positive EEG or negative EEG for the question. Since the change of the beta wave in the negative EEG rather than the positive EEG is clear, the judgment step can judge only whether the negative pattern of the EEG occurs. In addition, the positive judgment step calculates the temporal and spatial correlation of brain waves to determine whether they are positive brain waves or negative brain waves. In the affirmative judgment step, positive and negative can be judged by calculating the bias and synchronization rate and using it as a logical decision variable of the neural network. Here, the bias refers to the direction of rotation in the phase space composed of EEG components measured at two places, and the synchronization rate is a variable indicating the degree of simultaneous increase or decrease of EEG measured at two places.

The synchronization rate

On the other hand,

In the affirmative judgment step, positive and negative are judged by assigning the synchronization rate and bias to the variables of the classification method such as the neural network and the linear decision function. The synchronization rate and bias can be used individually, and both variables can be input. The neural network consists of a multilayer perceptron with an input layer, a hidden layer, and a node level output layer, and is already learned for logic judgment. If it is determined in the affirmative decision step, the positive signal is transmitted to the signal generation unit.

The pattern determination step S104 compares the extracted EEG changes with a pre-stored pattern to determine a coincidence, and generates a signal for controlling the temperature.

In the pattern determination step (S104), the temperature change unit 130 is used to compare the increase / decrease of the alpha wave, beta wave, theta wave, and gamma wave among the EEG signals and compare the change of the extracted EEG with the pre- . The pattern determination step S104 includes a pattern comparison step of determining whether or not the pre-stored pattern and the received EEG change coincide with each other, and a gap determination step of determining whether the background EEG state is switched to the background EEG state when the pattern is changed .

The pattern comparison step determines that the patterns match when the increase and decrease of the alpha waves are repeated twice or more within the set period of stunning. When the user repeats the operation of closing and closing the eyes at intervals of 3 seconds, the alpha wave is increased in the closed eye and the alpha wave is decreased in the closed eye, and the pattern determination step (S104) .

In the pattern comparison step, when the activity of the left parietal lobe is increased and the activity of the left / right frontal lobe is lowered in the determination of the activity change of the alpha wave, it can be judged that the patterns match when the pattern is repeated at least twice within a preset time have. When a character is read or a character is considered in the head, the activity of the left parietal lobe becomes higher and the activity of the left / right frontal lobe becomes lower. In the pattern judgment step (S104)

Also, in the pattern comparing step, it can be determined that the patterns match when the increase of the SMR wave and the middle beta wave is repeated twice or more within a preset period. When the user recognizes the picture or the character, the SMR wave and the middle beta wave increase, and the pattern comparing step can determine whether or not the pattern matches. In addition, the pattern comparison step can determine whether or not the primary patterns and the secondary patterns, which are different from each other, occur consecutively.

The gap determination step determines whether to switch to a background EEG state when the pattern changes according to the stored background EEG reference. Background EEG includes the EEG during open eye and EEG during relaxation, and may vary from person to person. Thus, the user registers background brain waves in advance. The gap determination step (S104) determines whether the pattern is switched to the background EEG state and determines whether the pattern is formed repeatedly or accidentally.

In the signal generation step S105, when an irregular signal is received using the signal generation unit 140 or an error signal or an affirmative signal is received when patterns are inconsistent, or a pattern is matched, a driving signal is generated. The signal generation step S105 includes an error signal generation step and a drive signal generation step.

The error signal generation step generates an error signal when a similar pattern is input using the error signal generation module 141 but is not determined to be the same. Also, in the error signal generation step (S105), an error signal is generated when a plurality of patterns that are different from each other are partially matched and partially not matched. The error signal generation step can display an error signal through the change of the LED lamp and generate a sound.

The driving signal generating step generates an ON signal for activating the air conditioner or an OFF signal for deactivating the air conditioner when an affirmative signal is received. In addition, the drive signal generating step generates a signal for controlling the temperature when it is determined that the patterns match.

Hereinafter, an air conditioner driving apparatus using an EEG according to a second embodiment of the present invention will be described. 4 is a block diagram illustrating an air conditioner driving apparatus using an EEG according to a second embodiment of the present invention.

Referring to FIG. 4, the air conditioner driving apparatus 200 using the brain waves according to the second embodiment

And includes a brain wave receiving unit 110, an EEG analysis unit 120, a driving determination unit 150, a temperature control unit 130, a signal generation unit 140, and a drive verification unit 210.

The air conditioner driving apparatus 100 using the EEG according to the first embodiment is configured such that the user 10 is sitting on a couch in a living room or a living room and turns on the air conditioner 30 by using the brain wave measuring device 20, Or turn off the device. The brain wave measuring device 20 can be formed in various forms such as a hat, a headset, and the like.

The synchronization rate (X) is a step function having a value of 0 when x is negative or 0, and a positive value when x is positive, and w is a step function having a synchronization rate .

On the other hand,

The temperature controller 130 compares the change of the EEG with a pre-stored pattern to determine whether or not the EEG is consistent, and generates a signal for controlling the temperature.

The temperature control unit 130 compares the increase / decrease of the alpha wave, beta wave, theta wave, and gamma wave among the EEG signals and compares the extracted EEG changes with pre-stored patterns to determine coincidence. The temperature control unit 130 includes a pattern storage module 131, a pattern determination module 132, and a gap determination module 134.

When the temperature control unit 130 determines that the patterns match, the drive verification unit 210 determines whether the temperature control unit 130 ultimately desires to control the temperature by presenting a picture and a letter. The driving confirmation unit 210 includes a picture display module 211 for displaying a picture, a character display module 212 for displaying a picture, and a change of brain waves when a picture is presented and a character is presented And an EEG change determination module 213 for determining EEGs.

The picture display module 211 displays pictures on a TV, air conditioner or other display panel. The picture may be displayed on the screen or in the form of an LED lamp 31. The figure can be made up of figures, and it can be composed of figure painting, watercolor painting, oil painting and so on.

The character display module 212 displays pictures on a TV, an air conditioner, or other display panel. The picture may be displayed on the screen or in the form of an LED lamp (32). The letters can be made up of one word, or a word or a sentence.

The EEG change determination module 213 determines a change in the EEG when the picture is presented and a change in the EEG when the character is presented. The EEG change determination module 213 may determine that the intensity of the setter wave is lowered and the intensity of the SMR wave and the middle beta wave are increased when the picture is presented. , It can be judged that there is a willingness to drive the intensity of the cetapha and the intensity of the middle beta wave to be lower than that of the case where the picture is presented.

In addition, the EEG change determination module 213 reduces the intensity of the alpha wave in the right hemisphere, does not change in the left hemisphere, and decreases the intensity of the alpha wave in the left hemisphere when presenting the letter, It can be judged that there is a willingness to drive that there is no change of the alpha wave in the right hemisphere.

When a person recognizes a picture and a character, they show different EEG patterns. In the case of recognizing a picture and a character, the intensity of the seta is reduced compared to the background EEG. In the case of recognizing a picture, the SMR wave and the middle beta wave The intensity increases significantly. The intensity of the SMR wave and the middle beta wave can be measured by the intensity of the voltage. In addition, when a person recognizes a character, the intensity of a seta wave increases and the intensity of a middle beta wave becomes significantly lower than when a picture is presented.

In addition, judging the change of the ALPHA rather than the type of ALPA, the intensity of the ALPHA is decreased in the left hemisphere, the ALPA is not changed in the right hemisphere, During the task, the intensity of the alpha wave is decreased in the right hemisphere and there is no change in the alpha wave in the left hemisphere.

The signal generator 140 generates a signal for driving the air conditioner when an affirmative signal is received or an EEG coincides with a pre-stored pattern, and generates an error signal if the EEPROM does not match. The signal generating unit 140 generates infrared rays in the same manner as the remote control. The signal generation unit 140 includes an error signal generation module 141 and a drive signal generation module 143.

The drive signal generation module 143 generates an ON signal for activating the air conditioner or an OFF signal for deactivating the air conditioner when an affirmative signal is received. In addition, the drive signal generation module 143 generates a signal for controlling the temperature or when the EEPROM pattern matches the EEPROM.

Hereinafter, an air conditioner driving method using an EEG according to a second embodiment of the present invention will be described. 5 is a flowchart illustrating an air conditioner driving method using an EEG according to a second embodiment of the present invention.

4 and 5, the air conditioner driving method using the EEG according to the first embodiment includes EEG reception step S201, EEG analysis step S202, driving determination step S203, pattern determination step S204), a drive confirmation step S205, and a signal generation step S206.

The EEG receiving step S201 is performed by the EEG receiving unit 110 and attaches a plurality of electrodes to the user's scalp to receive the user's brain waves through the electrodes. For example, when the ground electrode of the plurality of electrodes is disposed at the center of the user's scalp, and both right and left brain electrodes are attached to the scalp of the user in the same number on both sides thereof, (S201) can select and receive brain waves for the frontal region of the user or brain waves for the region excluding the frontal lobe.

The EEG analysis step (S202) extracts the alpha waves, beta waves, theta waves, and gamma waves from the received EEG. The EEG analysis step S202 includes an amplification step, a filtering step, and an AD conversion step.

The filtering step is performed by the filter module 123 and filters various noise included in the EEG amplified by using a plurality of analog filters. In this case, the filter may be a high pass filter, a band pass filter, a band stop filter, or a low pass filter. In the filtering step S203, a high-pass filtering step of primarily removing noise due to DC voltage, respiration, body movement, eye flickering, etc. using a high-pass filter and a frequency band range And a bandpass filtering step of filtering an EEG wave having the EEG signal.

The drive determination step (S203) determines whether or not the received EEG is stressed, generates a question, and determines whether the question is positive or negative, thereby generating an affirmative or negative signal.

The drive determination step S203 analyzes the EEG, recognizes whether or not a stress wave is generated, generates a question, and determines whether the question is affirmative or negative, thereby generating a driving signal of the electronic device. The drive determination step S203 includes a stress analysis step, a question generation step, and a determination step. The stress analysis step recognizes stressful EEG for the unpleasantness that appears when it is hot or cold. The stress analysis step determines whether the beta wave or gamma wave is above a predetermined range. The stress analysis step occurs in a stress situation among the beta waves and judges whether Kobe beat having a frequency of 20 Hz to 30 Hz continuously appears for a predetermined time.

The synchronization rate

On the other hand,

The pattern determination step S204 compares the extracted EEG changes with a pre-stored pattern to determine a match, and generates a signal for controlling the temperature.

The pattern determining step S204 compares the change of the EEG waves, the beta waves, the theta waves, and the gamma waves among the EEG signals using the temperature controller 130, . In the pattern determination step S204, a pattern comparison step of determining whether or not the pre-stored pattern and a received EEG change coincide with each other, and a gap determination step of determining whether to switch to a background EEG state when the pattern is changed by storing the background EEG .

The pattern comparison step determines that the patterns match when the increase and decrease of the alpha waves are repeated twice or more within the set period of stunning. When the user repeats the operation of closing and closing the eyes at intervals of 3 seconds, the alpha wave increases in the closed eye and the alpha wave decreases in the closed eye, and the pattern determination step (S204) .

In the pattern comparison step, when the activity of the left parietal lobe is increased and the activity of the left / right frontal lobe is lowered in the determination of the activity change of the alpha wave, it can be judged that the patterns match when the pattern is repeated at least twice within a preset time have. When a character is read or a character is considered in the head, the activity of the left parietal lobe becomes higher and the activity of the left / right frontal lobe becomes lower. In the pattern judgment step (S204)

The gap determination step determines whether to switch to a background EEG state when the pattern changes according to the stored background EEG reference. Background EEG includes the EEG during open eye and EEG during relaxation, and may vary from person to person. Thus, the user registers background brain waves in advance. The gap determination step (S204) determines whether the pattern is switched to the background EEG state and determines whether the pattern is formed repeatedly or accidentally.

If it is determined that the patterns match in the temperature control step (S205), the drive confirmation step (S205) is performed to determine whether there is a temperature control intention finally by presenting a figure and a letter. The driving confirmation step (S205) includes a display step of displaying a picture or a character on the screen, and a step of determining the change of the brain wave when the picture is presented and the step of determining the change of the brain wave to judge the change of the brain wave when the character is presented.

The display step displays pictures or characters on a TV, air conditioner or other display panel or air conditioner. The figure or character may be displayed on the screen or in the form of an LED lamp 31. The figure can be made up of figures, and it can be composed of figure painting, watercolor painting, oil painting and so on. The letters can be made up of one word, or a word or a sentence.

The EEG decision step determines the EEG changes when presenting pictures and the EEG changes when presenting text. In the step of judging the EEG change, it can be judged that the intensity of the setter wave is lowered and the intensity of the SMR wave and the middle beta wave are increased when the picture is presented. In the determination step of the EEG change, , It can be judged that there is a willingness to drive the intensity of the seta waves and the intensity of the middle beta waves to be lower than when the pictures are presented.

In the step of judging the EEG change, the intensity of the alpha wave is decreased in the right hemisphere while the intensity of the alpha wave is not changed in the left hemisphere. When the letter is presented, the intensity of the alpha wave is decreased in the left hemisphere, It can be judged that there is a willingness to drive that there is no change of ALPHA.

In the signal generating step S206, when an irregular signal is received using the signal generating unit 140 or an error signal or an affirmative signal is received when patterns are inconsistent, or a pattern is matched, a driving signal is generated. The signal generating step S206 includes an error signal generating step and a driving signal generating step.

The error signal generation step generates an error signal when a similar pattern is input using the error signal generation module 141 but is not determined to be the same. Also, in the error signal generation step (S206), an error signal is generated when a plurality of patterns that are different from each other are partially matched and partially not matched. The error signal generation step can display an error signal through the change of the LED lamp and generate a sound.

The driving signal generating step generates an ON signal for activating the air conditioner or an OFF signal for deactivating the air conditioner when an affirmative signal is received. In addition, the drive signal generating step generates a signal for adjusting the temperature when the brain wave pattern coincides with the drive confirmation step.

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: air conditioner driving device
110: EEG receiver
120: EEG analysis unit
121: Amplification module
123: Filter module
125: AD conversion module
130: Temperature control unit
131: Pattern storage module
132: pattern determination module
134: gap determination module
140:
141: error signal generation module
143: drive signal generating module
150:
151: Stress Analysis Module
153: Question Generation Module
154:
210:
211: Picture display module
212: Character display module
214: EEG change recognition module

Claims

An EEG receiving unit receiving the user's brain waves;
An EEG analyzing unit for classifying and extracting EEG types according to frequencies from received EEG;
A driving determination unit for generating a question and generating an affirmative or negative signal by judging whether the question is positive or negative;
A temperature controller for comparing a change in brain waves with a pre-stored pattern to determine a match and generating a signal for controlling the temperature; And
A signal generator for generating a signal for driving the air conditioner when the EEG coincides with the pre-stored pattern;
And a controller for controlling the operation of the air conditioner.

The method according to claim 1,
Wherein the driving determination unit includes a stress analysis unit that determines whether a beta wave or gamma wave continuously appears for a predetermined time.

The method according to claim 1,
Wherein the drive determining unit includes a question generating module for generating and displaying a question and an aptitude determining module for determining occurrence of a positive EEG or negative EEG for a question.

The method of claim 3,
The positive decision module uses the synchronization rate, which is a variable indicating the direction of rotation in the phase space consisting of the EEG components measured at two places and a variable indicating the degree of simultaneous increase or decrease of EEG measured at two places, Wherein the controller determines whether the doctor or the doctor is negative.

5. The method of claim 4,
The synchronization rate

Lt; / RTI >
Here, s1 and s2 are EEG signals measured at two positions, H (x) is a step function having a value of 0 when x is negative or 0, and 1 when it is positive, and w is a step function calculating a synchronization rate Wherein the controller is configured to control the operation of the air conditioner.

6. The method of claim 5,
The bias

Lt; / RTI >
Here, the P (t) is biased, the vector s is a two-dimensional vector composed of s1 and s2, and the unit vector [theta] is a unit vector in a direction rotating in the counterclockwise direction about the origin in the phase space consisting of s1 and s2 Wherein the air conditioner driving apparatus comprises:

The method according to claim 1,
Wherein the temperature controller includes a pattern storage module storing a predetermined EEG pattern.

8. The method of claim 7,
Wherein the temperature control unit comprises a pattern determination module for determining whether a received EEG change is consistent with a pattern stored in the pattern storage module and generating a signal for changing the temperature.

9. The method of claim 8,
Wherein the pattern determination module determines that the patterns match when the increase and decrease of the alpha waves are repeated twice within the set period of stunning.

9. The method of claim 8,
The pattern determining module determines that the pattern matches when the activity of the left parietal lobe is increased and the activity of the left / right frontal lobe is lowered in the determination of the activity change of the alpha wave twice or more within a preset time The air conditioner driving apparatus using the EEG.

9. The method of claim 8,
Wherein the pattern determination module determines that the pattern matches when the increase of the SMR wave and the middle beta wave is repeated twice within a predetermined period.

9. The method of claim 8,
Wherein the temperature controller includes a gap determination module for storing a background brain wave and determining whether the background brain wave is switched to a background brain wave state when the pattern changes.

The method according to claim 1,
Wherein the signal generating unit includes an error signal generating module that generates an error signal when a similar pattern is input in the temperature adjusting unit but is not determined to be the same.

The method according to claim 1,
Wherein the signal generating unit includes an error signal generating module that generates an error signal when the pattern matching unit partially and partially does not coincide among a plurality of different patterns stored in the pattern storing module.

The method according to claim 1,
Wherein the signal generating unit includes a driving signal generating module for generating an ON signal for activating the air conditioner or an OFF signal for deactivating the air conditioner or a signal for adjusting the temperature.

The method according to claim 1,
Wherein the air conditioner driving apparatus further comprises a drive confirmation unit for determining a change in brain waves by crossing a figure and a letter when it is determined that the pattern matches the pattern in the temperature controller.

17. The method of claim 16,
Wherein the drive confirmation unit includes a picture display module for presenting a picture.

18. The method of claim 17,
Wherein the drive confirmation unit includes a character display module for displaying characters.

19. The method of claim 18,
Wherein the driving confirmation unit includes a brain wave change determination module that determines a brain wave change when a picture is presented and a brain wave change when a character is presented.

20. The method of claim 19,
Wherein the EEG determining module determines that the intensity of the setter wave is low and the intensity of the SMR wave and the middle beta wave are high when the picture is presented.

20. The method of claim 19,
The EEG change determination module determines that the intention is to operate the EEG when the intensity of the EEG is higher and the intensity of the EEG is lower than that when the EEG is changed to a letter in the drawing. Used air conditioner driving device.

20. The method of claim 19,
The EEG change module reduces the intensity of the alpha wave in the right hemisphere and the change in the alpha wave in the left hemisphere when the picture is presented. When the letter is presented, the intensity of the alpha wave decreases in the left hemisphere, And judges that there is a driver who does not change the papa.