KR102064789B1 - Apparatus for controlling internet usage using eeg and method thereof - Google Patents

Abstract

The present invention relates to an apparatus for controlling an internet usage using brain waves and a method thereof. By analyzing brain waves when surfing the internet web, the user can register an internet web page as a bookmark or register spam as a user by detecting interest and emotional state of the user. The present invention relates to an internet usage control apparatus using a brain wave and a method thereof.

Description

Device for controlling Internet use using EEG and its method {APPARATUS FOR CONTROLLING INTERNET USAGE EEG AND METHOD THEREOF}

The present invention relates to an apparatus and method for controlling Internet use using brain waves. More specifically, the apparatus and method for controlling the use of the Internet using an EEG that can block the Internet web page as a favorite or block it as spam by analyzing the brain wave of the internet web surfing and detecting the interest and emotional state of the user Is about technology.

In modern society, most information is acquired through the Internet due to the development of computers and smart phones. Even while surfing the Internet, users may find information that interests them, easily pass through it, or find it when they need it, and thus cannot use it.

In general, the state of mental activity of a person is measured using an electroencephalogram (EEG), which is a very small signal that measures the electrical activity of brain neurons on the surface of the brain. In particular, the event-related potential is used as a method of measuring the interest of the user through brain waves. Event-related potentials mainly use brain waves that reflect a basic cognitive process called P300. P300 is a positive waveform that occurs about 300 ms after the stimulus is attracted.

As such, the conventional method of measuring the interest of the user by using the event-related potential is difficult to use asynchronously because it is to measure the potential difference rising after the suggested 300ms. In addition, since it responds to various emotional stimuli such as interest or surprise, it is difficult to determine a specific emotional state of the user.

Accordingly, the present invention implements a technique for implementing a simple type dry EEG apparatus capable of measuring user interest and emotion in an Internet environment using only four channel signals, and controlling the use of the Internet using a dry EEG apparatus. To provide.

The present invention described above is an apparatus for controlling Internet use, comprising: an EEG measuring unit for measuring EEG through at least four electrodes, an EEG detecting unit for generating decision information by analyzing the measured EEG, and the Internet according to the decision signal EEG application unit for generating a command signal to control the browser.

The present invention is a device for controlling the use of the Internet using an EEG and a method thereof, by measuring the user's interest and emotional state when surfing the Internet while wearing an EEG measuring device to store the Internet site or screen content as a favorite or spam The effect of classifying and blocking can be achieved.

1 is a block diagram showing an apparatus for controlling Internet use using EEG according to an embodiment of the present invention.
2 is a flowchart illustrating a method for controlling Internet use using EEG according to an embodiment of the present invention.
3 is a view for explaining the attachment position of the electrode for EEG measurement.

DETAILED DESCRIPTION The following detailed description of the invention refers to the accompanying drawings that show, by way of illustration, specific embodiments in which the invention may be practiced. These embodiments are described in sufficient detail to enable those skilled in the art to practice the invention. It is to be understood that the various embodiments of the invention are different but need not be mutually exclusive. For example, certain shapes, structures, and characteristics described herein may be embodied in other embodiments without departing from the spirit and scope of the invention with respect to one embodiment. In addition, it is to be understood that the location or arrangement of individual components within each disclosed embodiment may be changed without departing from the spirit and scope of the invention. The following detailed description, therefore, is not to be taken in a limiting sense, and the scope of the present invention, if properly described, is defined only by the appended claims, along with the full range of equivalents to which such claims are entitled. Like reference numerals in the drawings refer to the same or similar functions throughout the several aspects.

Hereinafter, preferred 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 implement the present invention.

1 is a block diagram illustrating an apparatus for controlling Internet use using EEG according to an exemplary embodiment of the present invention.

Referring to FIG. 1, the apparatus for controlling Internet use according to an embodiment of the present invention includes an EEG measuring unit 100, an EEG detecting unit 200, and an EEG application unit 300. Here, the EEG measuring unit 100 measures the EEG and transmits it to the EEG detecting unit 200. The EEG measuring unit 100 may be provided to the user in the form of a headset or glasses. In addition, the EEG measuring unit 100 may include a wireless communication module (not shown) such as Bluetooth, or a noise sensing module (not shown) such as an accelerometer. Here, the wireless communication module may be attached to the side of the headset or glasses.

The EEG detecting unit 200 generates decision information by analyzing the measured EEG. Specifically, the EEG detecting unit 200 removes the noise included in the measured EEG, and amplifies and converts it into a digital signal. The EEG detecting unit 200 extracts feature points for EEG, and classifies EEG according to the extracted feature points to generate positive or negative decision information.

The EEG application unit 300 controls the Internet browser (browser) according to the decision information. To this end, the EEG application unit 300 generates a command signal corresponding to the decision information, and transmits the generated command signal to the computer program or the application of the smartphone.

FIG. 2 is a flowchart illustrating a method for controlling Internet use using EEG according to an embodiment of the present invention, and FIG. 3 is a view for explaining an attachment position of an electrode for EEG measurement.

Referring to FIG. 2, first, the brain wave measuring unit 100 is worn on a head 1 of a person to measure brain waves (step S1). At this time, the EEG measurement unit 100, as shown in Figure 3, the reference channel is located in the yolk or temple play of the human head (1), the ground channel to the nose support of the glasses or the head of the headset Position it. And, according to the international electrode placement method, EEG is measured at the channel positions of P7, T7, P8, and T8, that is, at the earring portion of the glasses or at the speaker portion of the headset. That is, a total of seven electrodes including a reference electrode, two ground electrodes, P7, T7, P8, and T8 are attached to the headset or glasses, and the EEG measuring unit 100 includes four total of P7, T7, P8, and T8. Measure EEG through the channel.

Next, the EEG measuring unit 100 transmits the EEG measured through the wireless communication module to the EEG detecting unit 200 (step S2). Then, the EEG detecting unit 200 removes the noise contained in the measured EEG, and amplifies and converts the digital signal (step S3). An EEG is a signal having an amplitude of several tens of microvolts and is vulnerable to noise because it has a very small amplitude compared to muscle artifacts and motion artifacts. For example, the blink signal has an amplitude that is several orders of magnitude greater than that of the EEG. In this case, the EEG detection unit 200 may determine a portion having a large change in the waveform above the threshold by applying a threshold value as noise due to a blinking signal, and remove the corresponding portion. Similarly, for the shaking of the head or the body, the part with large change in waveform can be determined as noise and the corresponding part can be removed. The embodiment of the present invention is not limited thereto, and the EEG detection unit 200 may separate the EEG and the noise by using Independent Component Analysis (ICA). In addition, the EEG detecting unit 200 may detect and separate noise by using a noise detection module included in the EEG measuring unit 100. In other words, the EEG detection unit 200 according to the embodiment of the present invention adds an electrode to measure EMG (electromyogram) or safety (EOG) and removes noise instead of removing noise to process signals for the measured EEG. It is possible to simplify the measuring device.

Next, the EEG detecting unit 200 extracts a feature point for the EEG (step S4). EEG can be divided into δ wave (~ 4Hz), θ wave (4 ~ 8Hz), α wave (8 ~ 13Hz), β wave (13 ~ 30Hz) and γ wave (30 ~ 100Hz) according to the magnitude of frequency. The brain wave detector 200 according to an embodiment of the present invention extracts 16 feature points for four channels into four frequency bands of θ wave, α wave, β wave, and γ wave except for δ wave. In addition, the EEG detector 200 extracts the difference between the P7 channel and the P8 channel and the difference between the T7 channel and the T8 channel as feature points in order to determine the asymmetry of the alpha power of the left and right brains related to emotion. That is, the EEG detecting unit 200 extracts a total of 18 feature points.

Next, the EEG detecting unit 200 classifies the EEG according to the extracted 18 feature points, and generates positive or negative decision information according to the classification result (step S5). In this case, the EEG detector 200 may use a Bayesian classifier. For example, during the training process, independent component analysis is used to update the mean and covariance, leaving only the brainwave portion where the noise is removed. The probability distribution function may be generated using the updated mean and the covariance, and the brain waves may be classified by substituting data into the probability distribution function in the classification process.

Next, the EEG application unit 300 utilizes the computer program or the application of the smartphone according to the decision information (step S6). For example, in the case of affirmative decision information, the EEG application unit 300 stores a URL (uniform resource locator) address of an Internet site viewed by the user, and generates a command signal for storing an image included in the screen of the site. can do. In addition, in the case of negative decision information, the EEG application unit 300 may store a URL address of the corresponding Internet site and generate a command signal for blocking access to the corresponding site. In addition, the EEG application unit 300 may include an interface (not shown) for a user to designate a favorite folder or a spam folder in which a URL address or an image is stored.

In addition, the embodiment of the present invention is not limited thereto, and the EEG application unit 300 of the present invention may photograph the screen asynchronously according to the decision information, store the picture as a picture, and display a positive or negative tag. have. To this end, the present invention may be attached to a camera (not shown) to the glasses or headset. In addition, the EEG application unit 300 may include a gaze tracking module (not shown) to store a specific picture or content rather than the entire screen.

As described above, the apparatus for controlling Internet use using brain waves and the method according to an embodiment of the present invention, by measuring the interest and emotional state of the user when surfing the Internet on the Internet while wearing the EEG measuring the Internet site or screen The contents can be saved as favorites or classified as spam and blocked. Therefore, the user does not need a separate key operation and can unknowingly store or block information with interest or emotion even if the user does not recognize it. Thus, the user may check the information stored or blocked at a desired time, and may check his / her interests. The present invention is not limited to web surfing and can be applied to various applications.

Although the present invention has been described by specific embodiments such as specific components and the like, but the embodiments and the drawings are provided to assist in a more general understanding of the present invention, the present invention is not limited to the above embodiments. For those skilled in the art, various modifications and variations can be made from these descriptions.

Accordingly, the spirit of the present invention should not be limited to the above-described embodiments, and all of the equivalents or equivalents of the claims, as well as the appended claims, fall within the scope of the spirit of the present invention. I will say.

100: brain wave measuring unit
200: brain wave detection unit
300: brain wave application unit

Claims (15)

An EEG measuring unit for measuring the EEG of the user using the Internet service through a plurality of electrodes in contact with different locations on the body surface of the user;
An electroencephalogram detection unit for performing analysis on the measured brainwaves and using the result of the analysis, to generate decision information including the intention of the user about the Internet content that the user encounters through the internet service; And
Based on the decision information, EEG application unit for generating a command signal for controlling the Internet site providing the Internet service,
The EEG application unit,
When the user's intention extracted from the decision information is interpreted as affirmative, the bookmark for the address of the Internet content or the download of the Internet content is performed, and when the user's intention is interpreted as negative, Blocking or spamming Internet content
Internet use control device using brain waves. delete The method of claim 1,
The EEG application unit,
And a gaze tracking module that tracks the gaze of the user, and downloads a part including a point where the gaze touches among the internet contents visualized through the internet site.
Internet use control device using brain waves. The method of claim 1,
The EEG application unit,
And a photographing apparatus for capturing an image of the Internet content visualized through the Internet site, and displaying a positive or negative tag on the image based on the user's intention.
Internet use control device using brain waves. The method of claim 1,
The brain wave detection unit,
Determining the user's intention to the Internet content by analyzing the measured EEG on the basis of the probability distribution function for EEG classification calculated using the EEG data previously collected for each emotional state type
Internet use control device using brain waves. The method of claim 1,
The brain wave measuring unit,
It is provided to be worn by the user in the form of a headset or glasses equipped with the plurality of electrodes
Internet use control device using brain waves. The method of claim 1,
The brain wave detection unit,
The EEG is classified into a plurality of components according to the type and frequency of the electrodes used for the measurement among the plurality of electrodes, the feature points of each of the plurality of components are extracted, and the brain waves are analyzed using the feature points.
Internet use control device using brain waves. The method of claim 1,
The brain wave detection unit, before the analysis of the brain wave, determines that the component of the waveform change is greater than the predetermined threshold in the brain wave as noise to remove from the brain wave
Internet use control device using brain waves. Measuring brain waves of a user using an Internet service through a plurality of electrodes in contact with different locations on the body surface of the user;
Performing analysis on the measured brain waves, and using the results of the analysis, generating decision information including the user's intention about the Internet content that the user encounters through the Internet service; And
Based on the decision information, generating a command signal for controlling an internet site that provides the internet service,
Generating the command signal,
When the user's intention extracted from the decision information is interpreted as affirmative, the bookmark for the address of the Internet content or the download of the Internet content is performed, and when the user's intention is interpreted as negative, Performing blocking or spamming of the address of the Internet content.
Method of controlling Internet usage using EEG. delete The method of claim 9,
Generating the command signal,
Tracing the gaze of the user, and downloading a portion including the point where the gaze touches among the internet contents visualized through the internet site;
Method of controlling Internet usage using EEG. The method of claim 9,
Generating the command signal,
Photographing an image of the internet content visualized through the internet site, and displaying a positive or negative tag on the image based on the user's intention;
Method of controlling Internet usage using EEG. The method of claim 9,
Generating the decision information,
And determining the user's intention of the Internet content by analyzing the measured EEG based on a probability distribution function for EEG classification calculated using EEG data previously collected for each emotional state type.
Method of controlling Internet usage using EEG. The method of claim 9,
Generating the decision information,
Classifying the brain waves into a plurality of components according to the type and frequency of the electrodes used for the measurement among the plurality of electrodes, extracting feature points of each of the plurality of components, and analyzing the brain waves using the feature points. doing
Method of controlling Internet usage using EEG. The method of claim 9,
Generating the decision information,
Before the analysis of the EEG, the component having a large waveform change above the predetermined threshold in the EEG is determined as noise and removed from the EEG.
Method of controlling Internet usage using EEG.

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