KR101728469B1

KR101728469B1 - Electronic equipment control device having brain wave pattern synchronization part

Info

Publication number: KR101728469B1
Application number: KR1020150122817A
Authority: KR
Inventors: 송지성; 박수조; 문희준; 나슬기; 이기찬; 최준태
Original assignee: 한양대학교 에리카산학협력단; 송지성; 박수조; 문희준; 나슬기; 이기찬; 최준태
Priority date: 2015-08-31
Filing date: 2015-08-31
Publication date: 2017-04-28
Also published as: KR20170026913A

Abstract

The present invention provides an electronic device driving apparatus having an EEG synchronizing unit and capable of driving an electronic apparatus.
According to an aspect of the present invention, there is provided an apparatus for driving an electronic device having an EEG pattern synchronizing unit, the EEG apparatus including an EEG measuring unit for measuring an EEG, a stimulus generator for generating a stimulus for at least one of a user's five senses, And an instruction execution unit for comparing the received EEG with a previously stored EEG pattern to determine whether or not the EEG matches the stored EEG pattern and generating an instruction execution signal.

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention [0001] The present invention relates to an electronic device driving apparatus having an EEG pattern synchronizing unit,

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an electronic device driving apparatus, and more particularly, to an electronic apparatus driving apparatus having an EEG pattern synchronizing unit.

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 an electronic device driving apparatus having an EEG synchronizing unit and capable of driving an electronic apparatus.

According to an aspect of the present invention, there is provided an apparatus for driving an electronic device having an EEG pattern synchronizing unit, the EEG apparatus including an EEG measuring unit for measuring an EEG, a stimulus generator for generating a stimulus for at least one of a user's five senses, And an instruction execution unit for comparing the received EEG with a previously stored EEG pattern to determine whether or not the EEG matches the stored EEG pattern and generating an instruction execution signal.

Here, the stimulus generator may include a tactile stimulation module that generates tactile stimulation.

The stimulus generation unit may further include an electric stimulation module that generates electric stimulation.

The stimulus generation unit may further include a sound stimulation module for generating auditory stimulation.

The stimulus generator may further include a visual stimulus module for generating a visual stimulus by generating light or an image.

In addition, the EEG synchronizer may include a peak value quantity determination module that measures the number of peak values of the alpha wave, beta wave, theta wave, delta wave, and gamma wave in the received EEG.

The EEG synchronization unit may further include a peak intensity determination module that measures peak intensity of alpha waves, beta waves, ata waves, delta waves, and gamma waves in the received EEG.

In addition, the EEG synchronizer may further include a peak interval determining module that measures an interval at which peak values of alpha waves, beta waves, ata waves, delta waves, and gamma waves appear in the received EEG.

The EEG pattern synchronization unit may further include an average determination module that determines a repeated feature of the EEG that has been received a plurality of times.

In addition, the EEG synchronizer may further include a feature storage module for associating and storing a feature derived from the received EEG and a designated drive command.

The instruction execution unit may include a pairing module that detects a pairing pattern for performing pairing with the electronic device in the received EEG and switches the electronic device to a standby state so as to be controlled by an EEG.

The instruction execution unit may further include a feature determination module for detecting an EEG pattern associated with the stored drive command in the received EEG and executing a drive command associated with the detected EEG pattern.

In addition, the electronic device driving apparatus may further include a menu selection unit for displaying menus indicating a driving command and generating a signal for executing a selected menu according to a change in brain waves.

The menu selection unit may include a menu display module for displaying menus rotating or moving on the screen of the previous apparatus having the display.

The menu selection unit may include a menu execution module for generating a signal for selecting and executing a menu positioned at the center of the screen when an EEG pattern for selecting the menu appears.

As described above, according to the present invention, when a user stores an instruction interlocking with a specific EEG pattern and generates an EEG pattern through association or the like, the electronic apparatus can be driven. Further, when a plurality of menus appear on the screen, one can be selected using the brain waves to execute the commands.

1 is a block diagram illustrating an electronic device driving apparatus having an EEG synchronizing unit according to a first embodiment of the present invention.
2 is a flowchart for explaining a method of driving an electronic device according to the first embodiment of the present invention.
FIG. 3 is a diagram illustrating repeated generation of a stimulus in an electronic device driving apparatus according to the first embodiment of the present invention.
4 is a graph showing the peak values of EEG measured by the electronic apparatus driving apparatus according to the first embodiment of the present invention.
5 is a block diagram illustrating an electronic device driving apparatus having an EEG synchronizing unit according to a second embodiment of the present invention.
6 is a flowchart illustrating a method of driving an electronic device 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.

1 is a block diagram illustrating an electronic device driving apparatus having an EEG synchronizing unit according to a first embodiment of the present invention.

1, the electronic device driving apparatus 101 according to the first embodiment includes an EEG measuring unit 10, an EEG transmitting unit 20, an EEG pattern synchronizing unit 30, an instruction executing unit 40 ), And a stimulus generator 50.

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 a user's scalp and measure the EEG 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, a hair band, or a pair of glasses, and may be a hat. The brain-wave transmitting unit 20 transmits the brain waves to the electronic apparatus using wireless communication.

The stimulus generator 50 generates a stimulus for at least one of the five senses of the user. The stimulus generator 50 may generate only one stimulus, and may generate two or more stimuli at a time. As shown in FIG. 3, the stimulus generator 50 provides the stimulus to the user a plurality of times and measures the brain waves accordingly.

The stimulation generating unit 50 includes a tactile stimulation module 51, an electric stimulation module 52, a sound stimulation module 53, and a visual stimulation module 54.

The tactile stimulation module 51 protrudes the protrusions or forms a rough surface to stimulate the tactile sense of the user. The tactile stimulation module 51 may be a device integrally formed with the EEG measurement unit, and the user may push the button while pressing the button to project the projection or the like. The electrical stimulation module 52 stimulates the user by applying a low amount of electricity to the user which is not harmful to the user but is recognizable to the user. The electrical stimulation module may be a handle or the like.

On the other hand, the sound stimulation module 53 can generate auditory stimulation of the user by generating a cry of an animal, a sound appearing in nature, and a voice of a person using a smart phone or the like. The visual stimulation module 54 may generate light to cause a visual stimulus or display an image on the screen of a smartphone to cause a visual stimulus.

The brain wave pattern synchronization unit 30 interlocks the brain wave pattern responsive to the stimulation and the execution command. The EEG pattern synchronization unit 30 includes a peak value quantity determination module 31, a peak value intensity determination module 32, a peak value interval determination module 33, an average determination module 34, and a feature storage module 35. As shown in FIG. 4, the received EEG has a plurality of peak values. Here, the peak EEG means the maximum amplitude that appears in the vibration of the EEG.

The peak value quantity determination module 31 measures the number of peak values of the alpha waves, beta waves, theta waves, delta waves, and gamma waves in the received EEG. The peak intensity determination module 32 measures peak intensity of alpha waves, beta waves, ata waves, delta waves, and gamma waves in the received EEG. The peak-value interval determination module 33 measures the intervals at which peak values of alpha waves, beta waves, theta waves, delta waves, and gamma waves appear in the received EEG.

The average determination module 34 determines characteristics repeatedly appearing in a plurality of received EEGs. Even if a feature appears in the received EEG, the one-time occurrence may be different according to time and situation, so that the average determination module 34 extracts the EEG characteristics common to various situations.

The feature storage module 35 stores a feature derived from the received brain wave and a designated drive command in association with each other. The characteristic storage module 35 compares the average brain waves of the general public with the brain waves of the user, and extracts portions of the user's brain waves that are different from the general human brain. For example, the feature storage module 35 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. The feature storage module 35 stores the feature in association with the drive instruction designated by the user so that the instruction can be executed when the thus derived characteristic EEG pattern appears.

The instruction execution unit 40 includes a pairing module 41 and a feature determination module 42. The pairing module 41 compares the received EEG with the previously stored EEG patterns to determine whether they match or not.

The pairing module 41 detects a pairing pattern for performing pairing with the electronic device in the received EEG, and converts the pairing pattern into a standby state so that the electronic device is controlled by the brain waves. A different pairing pattern is stored for each electronic device installed in the house. The user can generate the pairing pattern of the electronic device to be driven through an action reminiscent of a stimulus.

The user can artificially generate an EEG connected to the drive command in order to execute the drive command. For example, in the case of a driving command associated with a visual stimulus, a brain wave may be generated by associating a stimulus to execute a driving command associated with the stimulus.

The feature determination module 42 detects a brain wave pattern connected to the stored drive command and executes a drive command associated with the detected brain wave pattern.

The feature determination module 42 compares the received EEG with the stored EEG patterns to determine whether they match or not, and determines whether the number of the peak values, the intensity of the peak values, and the intervals of the peak values coincide with each other. If it is determined that the features match, the feature determination module 42 generates a signal for driving the electronic device and transmits the signal to the electronic device. At this time, the driving signal to be transmitted may be performed in the same manner as the remote controller transmits the signal.

Hereinafter, a method of driving an electronic device according to a first embodiment of the present invention will be described with reference to FIG. 2 is a flowchart for explaining a method of driving an electronic device according to the first embodiment of the present invention.

Referring to FIG. 2, the electronic device driving method according to the first embodiment includes an EEG measurement step S101, an EEG transmission step S102, a stimulus generation step S103, an EEP pattern synchronization step S104, And an execution step S105.

In the EEG measurement step S101, a plurality of electrodes are attached to the scalp of the user, and the user's EEG is measured through the electrodes. In the brain wave transmission step (S102), brain waves are transmitted to an electronic device using wireless communication.

The stimulus generation step (S103) generates a stimulus for at least one of the five senses of the user. The stimulus generation step (S103) may generate only one stimulus, and may generate two or more stimuli at a time. As shown in FIG. 3, the stimulus generation step (S103) provides stimulation to the user a plurality of times and measures the brain waves resulting therefrom.

The stimulus generation step S103 includes a tactile stimulation step, an electric stimulation step, a sound stimulation step, and a visual stimulation step.

The tactile stimulation step stimulates the tactile sense of the user by projecting the protrusions or forming a rough surface. The electrical stimulation step stimulates the user by applying a low amount of electricity to the user which is not harmful to the user but is recognizable.

On the other hand, the sound stimulation stage can generate auditory stimulation of the user by generating a cry of an animal, a sound appearing in nature, and a human voice using a smart phone or the like. The visual stimulation step can cause visual stimulation by generating light, or by displaying an image on the screen of a smartphone.

The step of synchronizing the EEG pattern synchronizes the EEG pattern in response to the stimulation and the execution command. The step of synchronizing the EEG pattern includes a peak amount determination step, a peak intensity determination step, a peak value interval determination step, an average determination step, and a feature storage step. As shown in FIG. 4, the received EEG has a plurality of peak values. Here, the peak EEG means the maximum amplitude that appears in the vibration of the EEG.

The peak quantity determination step measures the number of peaks of the alpha waves, beta waves, theta waves, delta waves, and gamma waves in the received EEG. The peak intensity determination step measures the peak intensity of the alpha waves, beta waves, theta waves, delta waves, and gamma waves in the received EEG. The peak interval determination step measures the intervals at which the peak values of the alpha waves, beta waves, theta waves, delta waves, and gamma waves appear in the received EEG.

The average determination step determines a feature that repeatedly appears in the received EEG. Even if the feature appears in the received EEG, the one-time occurrence may be different according to time and situation. Therefore, the average decision step extracts the EEG characteristics common to various situations.

In the feature storage step, a feature derived from the received EEG is associated with a designated drive command and stored. In the characteristic storage step, the average brain wave of the general public is compared with the user's brain wave, and the user's brain wave is extracted from the common people. For example, the characteristic storing step 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. In the feature storage step, the feature is stored in association with a drive command designated by the user so that the command can be executed when the thus derived characteristic brainwave pattern appears.

The instruction execution step (S105) compares the received EEG with the previously stored EEG patterns to determine whether they match, and generates an instruction execution signal, and includes a pairing step and a feature determining step.

The pairing step detects a pairing pattern for performing pairing with the electronic device in the received EEG, and converts the electronic pattern into a standby state so that the electronic device is controlled by the brain waves. A different pairing pattern is stored for each electronic device installed in the house. The user can generate the pairing pattern of the electronic device to be driven through an action reminiscent of a stimulus.

The feature determination step detects an EEG pattern associated with the stored drive command and executes a drive command associated with the detected EEG pattern. In the feature determining step, the received EEG is compared with the stored EEG pattern to determine whether the EEG matches or not, and whether the number of the peak values, the intensity of the peak values, and the intervals of the peak values coincide with each other is determined. The feature determination step generates a signal for driving the corresponding electronic device and transmits the generated signal to the electronic device when it is determined that the features match. At this time, the driving signal to be transmitted may be performed in the same manner as the remote controller transmits the signal.

As described above, according to the first embodiment, a user can synchronize a desired driving command with an EEG pattern to drive an electronic device using an EEG.

Hereinafter, an electronic apparatus driving apparatus having an EEG synchronizing unit according to a second embodiment of the present invention will be described with reference to FIG. 5 is a block diagram illustrating an electronic device driving apparatus having an EEG synchronizing unit according to a second embodiment of the present invention.

5, the electronic device driving apparatus 102 according to the second embodiment includes an EEG measuring unit 110, an EEG transmitting unit 120, an EEG pattern synchronizing unit 130, an instruction executing unit 140, A stimulus generator 150, and a menu selector 160.

The EEG measuring unit 110 comprises an apparatus for receiving an EEG attached to a user. The EEG measuring unit 110 may attach a plurality of electrodes to the user's scalp and measure the user's brain waves through the electrodes. The EEG measurer 110 can indirectly measure brain waves using ultraviolet rays, infrared rays, or the like. The EEG measuring unit 110 may be a headphone, a hair band, or a pair of glasses, and may be a hat. The brain-wave transmitting unit 120 transmits brain waves to the electronic apparatus using wireless communication.

The stimulus generator 150 generates a stimulus for at least one of the five senses of the user. The stimulus generator 150 may generate only one stimulus, or may generate more than one stimulus at a time. The stimulus generator 150 provides stimulation to the user a plurality of times and measures the brain waves accordingly.

The stimulation generating unit 150 includes a tactile stimulation module 151, an electric stimulation module 152, a sound stimulation module 153, and a visual stimulation module 154.

The tactile stimulation module 151 protrudes the protrusions or forms a rough surface to stimulate the tactile sense of the user. The tactile stimulation module 151 may be a device integrally formed with the EEG measuring unit, and the user may press the button while the user protrudes the protrusion or the like. The electrical stimulation module 152 stimulates the user by applying a low amount of electricity that is not harmful to the user, but is low enough to be perceived by the user. The electrical stimulation module may be a handle or the like.

On the other hand, the sound stimulation module 153 can generate auditory stimulation of the user by generating a cry of an animal, a sound appearing in nature, a human voice, etc. using a smart phone or the like. The visual stimulation module 154 may generate light to cause a visual stimulus or an image on the screen of a smartphone, thereby causing a visual stimulus.

The EEG synchronizer 130 synchronizes the EEG pattern responsive to the stimulation with the execution command. The EEG pattern synchronization unit 130 includes a peak value quantity determination module 131, a peak value intensity determination module 132, a peak value interval determination module 133, an average determination module 134, and a feature storage module 135. As shown in FIG. 4, the received EEG has a plurality of peak values. Here, the peak EEG means the maximum amplitude that appears in the vibration of the EEG.

The peak value quantity determination module 131 measures the number of peak values of alpha waves, beta waves, seta waves, delta waves, and gamma waves in the received EEG. The peak intensity determination module 132 measures the peak intensity of the alpha waves, beta waves, theta waves, delta waves, and gamma waves in the received EEG. The peak value interval determination module 133 measures the intervals at which peak values of alpha waves, beta waves, theta waves, delta waves, and gamma waves appear in the received EEG.

The average determination module 134 determines the features that repeatedly appear in the received EEG. Even if a feature appears in the received EEG, since the one-time occurrence may be different according to time and situation, the averaging module 134 extracts a user's EEG feature common in various situations.

The feature storage module 135 stores a feature derived from the received brain wave and a designated drive command in association with each other. The feature storage module 135 compares an average brain wave of a general person with a brain wave of a user, and extracts a portion of the user's brain wave that is different from that of a general person. For example, the feature storage module 135 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. The feature storage module 135 stores the feature in association with a drive command designated by the user so that the command can be executed when the thus derived characteristic brainwave pattern appears.

The instruction execution unit 140 includes a pairing module 141 and a feature determination module 142. The pairing module 141 and the feature determination module 142 compare the received EEG with the previously stored EEG patterns to determine whether or not they match.

The pairing module 141 detects a pairing pattern for performing pairing with the electronic device in the received EEG, and converts the pairing pattern into a standby state so that the electronic device is controlled by the brain waves. A different pairing pattern is stored for each electronic device installed in the house. The user can generate the pairing pattern of the electronic device to be driven through an action reminiscent of a stimulus.

The feature determination module 142 detects a brain wave pattern connected to the stored drive command and executes a drive command associated with the detected brain wave pattern.

The feature determination module 142 compares the received EEG with the stored EEG patterns to determine whether they match or not, and determines whether the number of peaks, the intensity of the peaks, and the intervals of the peaks coincide with each other. If it is determined that the features match, the feature determination module 142 generates a signal for driving the electronic device and transmits the signal to the electronic device. At this time, the driving signal to be transmitted may be performed in the same manner as the remote controller transmits the signal.

The menu selection unit 160 displays menus representing driving commands and generates a signal for executing the selected menu according to the change of brain waves. The menu selection unit 160 includes a menu display module 161 and a menu execution module 162.

The menu display module 161 displays menus rotating or moving on the screen of the electronic device having the display. The menus may be menus representing driving commands, for example, menus for executing functions of an application, menus for selecting channels in a smart TV, or menus for selecting a volume. The menus are divided into sub menus by upper menus, When a menu is selected, submenus can be displayed on the screen.

The menu display module displays a plurality of menus on one screen, enlarging and displaying the menus in the center, and sequentially displaying different menus in the center according to the passage of time.

The menu execution module 162 generates a signal for selecting and executing a menu located at the center of the screen when a brain wave pattern for selecting a menu appears. When various menus are displayed, the user can find the desired menu. At this time, since the concentration of the user is increased, the beta wave instantaneously increases, and an EEG that gives a positive indication occurs. The menu execution module 162 generates a signal for executing the menu when the EEG pattern appears.

Hereinafter, an electronic device driving method according to a second embodiment of the present invention will be described with reference to FIG. 6 is a flowchart illustrating a method of driving an electronic device according to a second embodiment of the present invention.

Referring to FIG. 6, the electronic device driving method according to the second embodiment includes an EEG measurement step S201, an EEG transmission step S202, a stimulus generation step S203, an EEG pattern synchronization step S204, An execution step S205, and a menu selection step S206.

In the EEG measurement step S201, a plurality of electrodes are attached to the user's scalp, and the user's EEG is measured through the electrodes. In the brain wave transmission step (S202), brain waves are transmitted to an electronic device using wireless communication.

The stimulus generation step (S203) generates a stimulus for at least one of the five senses of the user. The stimulus generation step S203 may generate only one stimulus, and may generate two or more stimuli at a time. As shown in FIG. 3, the stimulus generation step (S203) provides stimulation to the user a plurality of times and measures the EEG according to the stimulation.

The stimulus generation step S203 includes a tactile stimulation step, an electric stimulation step, a sound stimulation step, and a visual stimulation step.

The step of synchronizing the brain wave pattern (S204) synchronizes the brain wave pattern responsive to the stimulation with the execution command. The step of synchronizing the EEG pattern includes a peak amount determination step, a peak intensity determination step, a peak value interval determination step, an average determination step, and a feature storage step. As shown in FIG. 4, the received EEG has a plurality of peak values. Here, the peak EEG means the maximum amplitude that appears in the vibration of the EEG.

The instruction execution step (S205) compares the received EEG with the previously stored EEG patterns to determine whether they match, and generates an instruction execution signal, and includes a pairing step and a feature determining step.

The menu selection step (S106) displays the menus indicating the driving command and generates a signal for executing the selected menu according to the change of the brain waves. The menu selection step S106 includes a menu display step and a menu execution step.

The menu display step displays menus rotating or moving on the screen of the previous apparatus having the display. The menu display module displays a plurality of menus on one screen, enlarging and displaying the menus in the center, and sequentially displaying different menus in the center according to the passage of time.

In the menu execution step, when a brain wave pattern for selecting a menu is displayed, a menu positioned at the center of the screen is selected and a signal is generated to be executed. When various menus are displayed, the user can find the desired menu. At this time, since the concentration of the user is increased, the beta wave instantaneously increases, and an EEG that gives a positive indication occurs. The menu execution step generates a signal to execute the menu when the EEG pattern appears.

As described above, according to the second embodiment, when a plurality of menus are displayed, a user can perform a desired menu by measuring a change in the brain waves.

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.

101, 102: Electronic device driving device
10, 110: EEG measurement unit
20, 120: EEG transmission unit
30, and 130: an EEG pattern synchronization unit
31, 131: Quantity determination module
32, 132: intensity determination module
33, 133: interval determination module
34, 134: average judgment module
35, 135: Feature storage module
40, 140: instruction execution unit
41, 141: Pairing module
42, 142: Feature determination module
50, 150: stimulus generator
51, 151: tactile stimulation module
52, 152: electrical stimulation module
53, 153: sound stimulation module
54, 154: Visual stimulus module
160: Menu selection unit
161: Menu display module
162: Menu execution module

Claims

An EEG measuring unit for measuring EEG; A stimulus generator for generating a stimulus for at least one of a user ' s five senses; An EEG pattern synchronization unit operable to synchronize an EEG pattern responsive to stimulation and a driving command; And an instruction execution unit for comparing the received EEG with a previously stored EEG pattern to determine whether or not the EEG match is made and generating an instruction execution signal,
The EEG pattern synchronization unit may further include an average determination module for determining a feature repeatedly appearing in a plurality of received EEG waves,
Wherein the instruction execution unit includes a pairing module for detecting a pairing pattern for performing pairing with the electronic device in the received EEG and switching the electronic device to a standby state so as to be controlled by the EEG. Device.

The method according to claim 1,
Wherein the stimulus generator includes a tactile stimulation module for generating tactile stimulation.

Claim 3 has been abandoned due to the setting registration fee.

Claim 4 has been abandoned due to the setting registration fee.

Claim 5 has been abandoned due to the setting registration fee.

The method according to claim 1,
Wherein the EEG pattern synchronization unit includes a peak value quantity determination module for measuring a peak number of alpha waves, beta waves, ata waves, delta waves, and gamma waves in the received EEG.

Claim 7 has been abandoned due to the setting registration fee.

Claim 8 has been abandoned due to the setting registration fee.

delete

Claim 10 has been abandoned due to the setting registration fee.

delete

The method according to claim 1,
Wherein the instruction execution unit further includes a feature determination module that detects an EEG pattern associated with the stored drive command in the received EEG and executes a drive command associated with the detected EEG pattern, .

The method according to claim 1,
Wherein the electronic device driving apparatus further comprises a menu selection unit for displaying menus representing a driving command and generating a signal for executing a selected menu according to a change in brain waves.

Claim 14 has been abandoned due to the setting registration fee.

Claim 15 is abandoned in the setting registration fee payment.