KR101358247B1 - Method for detecting concentration level - Google Patents

Abstract

The present invention relates to a concentration level detection method for detecting a concentration level from brain waves, comprising: (a) registering a plurality of level biasing criteria; (b) calculating concentration based on a signal sensed through the EEG detection electrode; (c) determining a concentration level with respect to the calculated concentration level according to a plurality of concentration level ranges divided between a predetermined maximum concentration level and a minimum concentration level; (d) determining whether the previous concentration level of T ₁ belongs to any one of the plurality of level biasing criteria by repeating steps (b) and (c); (e) When the concentration level of the previous T _one in the step (d) belongs to any one of the plurality of level biasing criteria, the maximum concentration and the maximum concentration in accordance with the first reference conversion rule previously registered for the level biasing criterion; And correcting at least one of the minimum concentration. Accordingly, the concentration level can be calculated by adaptively responding to the user's brainwave bias or the degree of deviation so that even a relatively high or low level of concentration or a relatively low level of concentration can be interesting in the game. This allows for more effective and practical detection of concentration levels.

Description

Concentration level detection method {METHOD FOR DETECTING CONCENTRATION LEVEL}

The present invention relates to a concentration level detection method, and more particularly, a concentration level detection method capable of detecting the concentration level more effectively and practically by calculating the concentration level in response to the degree of deviation or deviation of an EEG of a user. It is about.

The human brain is the most resilient and adaptable in nature with emotions, perceptions, thoughts, and actions. The human brain is made up of hundreds of billions of neurons, each of which is connected in a number of interrelated ways with other neurons, a phenomenon known as synapses.

These interactions are the key to everyone's mental activities, including learning, memory, awareness, behavior, and decision making, and are also responsible for the physical control of the body to maintain good health. These synapses are formed by chemical reactions, which are converted into electrical flow to the scalp to form brain waves. In other words, hundreds of billions of nerve cells interact with other nerve cells around them to transmit information. In the process, electrical signals are generated. So when you plug an electrode into your scalp and measure the change in electricity, the change in electricity is displayed as a wave, which is an EEG.

These brain waves have various shapes depending on the degree of brain activity, and the more the brain is actively active, the higher the frequency of the brain waves, and the lower the frequency of the brain becomes. Such brain waves include gamma waves, beta waves, alpha waves, theta waves, and delta waves.

Gamma waves have a center frequency of 40 Hz and range from 38 to 45 Hz, the fastest of the brain activity waves, and appear when performing complex mental functions with tension and active altitude. The beta wave has a center frequency of 17.3 Hz and its range is from 15 to 38 Hz. It appears when the active brain function is performed in the cerebrum, and when it is subjected to stress and stress.

The alpha frequency is about 10.3Hz in the center frequency, 8 ~ 12Hz in the range, and occurs conspicuously in the occipital occipital lobe in consciousness state, which is neither latent nor unconscious, mainly in relaxation of tension, appear.

The center frequency of the cetapha is about 6.3Hz and its range is 4 ~ 8Hz. It is dominant in the region of the goiters involved in emotion and emotion in the brain region. In other words, since it is mainly dominant in the field of emotions and emotions, it has a great impact on artistic endeavors, heart injuries, joyful and joyful tasks and play.

The delta wave has a center frequency of about 1.3 Hz and a range of 0.5 to 4 Hz. It occurs mainly in the training, pons, and midbrain areas that are directly related to life, and appears predominantly during sleepy sleep that stops the activities of the cortical areas that are involved in emotions and the neocortex (cerebral brain) that is involved in information input and output and thought judgment. .

Recently, SMR (Sensory Motor Rhythm) para between beta wave and alpha wave has been actively studied for a new type of important brain wave. SMR waves have a center frequency of 12.7 Hz and range from 12 to 15 Hz. It occurs predominantly in the cerebral (neocortical) area from below the ear to the center of the brain.

SMR waves are relevant when solving problems that require simple concentration, and appear when tension is required in consciousness. In other words, it appears to be in a state where concentration is made in the state of not being tense, and it is easy, simple and precise to perform without being stressed. The SMR wave was found to be a focused attention brain in that it had the ability to easily solve all tasks with a very low energy compared to the beta wave.

In the field of using SMR waves, a variety of attempts are being made to detect concentration of human SMR waves and to concentrate concentration tests on games.

When using the SMR wave, etc. in the game as an indicator of concentration, for example, when a headset-type brain wave measuring device is used as the input device of the game, the headset-type brain wave measuring device measures the value measured from the applied brain waves. It may be necessary to convert the concentration to a certain level and use it.

By the way, it is known that many people have different EEG characteristics, and even if they are the same person, EEG characteristics change according to the current physical and mental state, so that the concentration level is measured and applied to the game on a fixed basis. In some cases, it may not be suitable as an input for executing a game.

For example, in the case of people with high or low concentration indicators, converting the measured EEG to a concentration level based on a fixed standard can be continuously measured at a high level or a low level, which is always in the progress of the game. As the score goes higher or lower, the user may feel bored with the game.

In addition, even in the case of a person having a relatively small variation in concentration, the level of concentration input to the game is maintained at a constant level, so that the progress of the game is kept constant, so that the user may lose interest in the game.

This phenomenon does not meet the purpose of the game itself, such as improving the concentration through the brain wave measurement and progress of the game, it is natural that the new game industry field called the game using the brain wave measurement is not desirable to settle in the market.

Accordingly, the present invention has been made to solve the above problems, so that people with a relatively high or low concentration of concentration, or even a relatively small variation in concentration can be interested in the game, the bias of the user's brain waves or It is an object of the present invention to provide a concentration level detection method capable of detecting the concentration level more effectively and practically by calculating the concentration level in response to the degree of deviation.

According to the present invention, there is provided a concentration level detection method for calculating concentration level from brain waves, the method comprising: (a) registering a plurality of level biasing criteria; (b) calculating concentration based on a signal sensed through the EEG detection electrode; (c) determining a concentration level with respect to the calculated concentration level according to a plurality of concentration level ranges divided between a predetermined maximum concentration level and a minimum concentration level; (d) determining whether the previous concentration level of T ₁ belongs to any one of the plurality of level biasing criteria by repeating steps (b) and (c); (e) When the concentration level of the previous T _one in the step (d) belongs to any one of the plurality of level biasing criteria, the maximum concentration and the maximum concentration in accordance with the first reference conversion rule previously registered for the level biasing criterion; Comprising the step of correcting at least one of the minimum concentration is achieved by the concentration level detection method for calculating the concentration level from the brain waves.

In this case, when step (e) is performed, steps (b) to (e) are detected after the EEG detection electrode is detected according to the maximum concentration and minimum concentration corrected through the step (e). Can be performed from a signal.

And (f) if the concentration level of the previous T _one in step (d) is not included in any one of the plurality of level biasing criteria, repeating steps (b) and (c) Determining whether just prior T ₂ (where T ₂ > T ₁ ) concentration levels have been collected; (g) If it is determined in step (f) that the T ₂ concentration levels are collected, the maximum concentration power and the minimum concentration power may be corrected according to a pre-registered second reference conversion rule.

In this case, if it is determined that the concentration levels of T ₂ are collected in step (f), steps (b) to (g) may be performed.

And, if the step (g) is performed, after the steps (b) to (g) is detected through the EEG detection electrode according to the maximum concentration and minimum concentration corrected through the step (g) Can be performed from a signal.

The plurality of level biasing criteria may include a VH biasing criterion belonging to a case where all T ₁ concentration levels exceed the concentration level h; An MH bias criterion belonging to a case where T ₁ concentration levels all exceed concentration levels i (i &lt;h); An ML biasing criterion belonging to a case where all of the T ₁ concentration levels are less than the concentration level j (j <i); It may include a VL bias criterion that belongs to the case where all T ₁ concentration levels are less than concentration level k (k <j).

The first reference conversion rule further includes: when the concentration level of T ₁ belongs to the VH bias criterion, the maximum concentration force and the minimum concentration force are increased; When the T ₁ concentration level falls within the MH bias criterion, the maximum concentration is increased; If T ₁ concentration level falls within the ML biasing criterion, the minimum concentration is reduced; When the concentration level of T ₁ belongs to the VL bias reference, the maximum concentration and the minimum concentration may be set to be reduced.

In addition, the first reference conversion rule may be set such that the maximum concentration force and the minimum concentration force increase or decrease at a preset ratio.

The second reference conversion rule may be set such that the maximum concentration is reduced and the minimum concentration is increased.

In addition, the maximum concentration and the minimum concentration set in the step (c) may be set by the maximum value and the minimum value of a predetermined range centered on the average value of the predetermined number of concentrations collected sequentially from the initial EEG detection. .

According to the present invention by the configuration as described above, so that people with a relatively high or low concentration of concentration, or a person with a relatively small variation in concentration can be interested in the game, adaptive to the degree of deviation or deviation of the brainwave of the user By calculating the concentration level in response, the concentration level detection method is provided which enables the detection of the concentration level more effectively and practically.

1 is a view showing the configuration of a brain wave measurement game system according to the present invention,
2 is a control block diagram illustrating an example of a configuration of an EEG detecting apparatus according to the present invention;
3 is a view showing an EEG detecting headset as an example of an EEG detecting apparatus according to the present invention,
4 is a control flowchart of a concentration level detection method according to the present invention;
5 is a diagram illustrating examples of concentration, concentration level, maximum concentration, and minimum concentration calculated through the concentration level detection method according to the present invention.

Hereinafter, the present invention will be described in detail with reference to the accompanying drawings.

1 is a view showing an example of the configuration of the EEG measurement game system to which the concentration level detection method according to the present invention is applied. As shown in FIG. 1, an EEG measuring game system according to the present invention may include an EEG detecting device, such as an EEG detecting headset 10 and a game device 30. Here, the present invention is applied to the concentration level detection method to be described later to the brain wave detection headset 10 as an example.

The brain wave detection headset 10 according to the present invention is provided to be worn by the user on the head and detects the brain wave of the user when the user wears it on the head. As illustrated in FIGS. 2 and 3, the brain wave detection headset 10 according to the present invention includes at least one brain wave detection electrode 11a and 11b, an electrode signal processor 12, a concentration level detector 13, and a level. The reference corrector 14 and the headset interface 15 may be included.

In addition, the brain wave detection headset 10 according to the present invention, as shown in FIG. 3, may externally include a head band portion 19 and a module receiving portion 18.

Head band portion 19 of the external configuration is provided to be worn to wrap around the user's head, as shown in Figures 1 and 2, the band form to wrap around the forehead of the person easy to detect brain waves Take the example provided by. In FIG. 2, the EEG headset 10 is manufactured in the form of a hat. However, the EEG detection headset 10 may be manufactured in a band form or other external structure.

As illustrated in FIG. 3, the EEG detection electrodes 11a and 11b are provided inside the head band part 19 to be in contact with a human head, that is, around the forehead when the user wears the head band part 19. do. Here, in FIG. 3, two EEG detection electrodes 11a and 11b are provided at the head band unit 19 at a predetermined interval, and if the EEG of a human being can be detected, the number is not limited. In addition, an example in which two EEG detection electrodes 11a and 11b are provided in a two-channel form in which EEG is detected is provided.

Meanwhile, the headset interface unit 16 is connected to the game device 30 to transmit the concentration level detected by the concentration level detection unit 13 to the game device 30. Here, the headset interface unit 16 according to the present invention is an example of transmitting a digital signal to the game device 30 by the UART (Universal Asynchronous Receiver / Transmitter) method of the asynchronous serial communication method, as shown in FIG. In the brain wave detection headset 10, a serial port for UART communication is installed.

The module accommodating part 18 is installed in the head band part 19 to accommodate and support the electrical components of the EEG headset 10. In FIG. 3, the module accommodating part 18 is provided in the form of a hat window in front of the head band part 19. In addition, the electrical components of the EEG headset 10 are mounted on one printed circuit board 20 and accommodated and supported by the module accommodating part 18.

The electrode signal processor 12 processes the brain waves detected by the brain wave detection electrodes 11a and 11b, that is, the detected brain wave signals in the form of analog signals. Here, the electrode signal processor 12 may include an analog processor 12a and an A / D converter 12b.

The analog processor 12a may process the EEG signal in the form of an analog signal in a form that the A / D converter 12b may process, such as amplifying the analog signal sensed by the brain wave detection electrodes 11a and 11b or removing certain noise. Processing.

The A / D converter 12b converts the brain wave signal processed by the analog processor into a digital signal and outputs the digital signal to the concentration level detector 13. In this case, when the EEG of the two channels is detected as described above, the digital signal output from the A / D converter 12b is output to the concentration level detector 13 by the digital signal corresponding to the EEG detected in each channel.

The concentration level detector 13 detects the concentration level of the user based on the digital signal transmitted from the A / D converter 12b of the electrode signal processor. As shown in FIG. 2, the concentration level detector 13 according to the present invention may include an average value calculator 13a, a concentration calculator 13b, and a level determiner 13c.

The average value calculator 13a calculates an average value of the two channels of digital signals transmitted from the A / D converter 12b and calculates the average value of the currently detected brain waves. The concentration calculating unit 13b calculates the concentration of the user by using the average value calculated by the average pack calculating unit.

In the present invention, the concentration calculating unit 13b calculates the concentration using the beta wave (β wave), the mid beta wave (Mid-β wave), theta wave (θ wave), including the SMR wave, among the brain waves. For example, it is calculated through Equation 1].

[Equation 1]

Concentration =

On the other hand, the level determining unit 13c calculates the concentration level of the user by using the concentration power calculated by the concentration power calculating unit 13b. Here, the level determiner 13c according to the present invention may be configured for the concentration force calculated by the concentration force calculation unit 13b according to a plurality of concentration level sections divided between a predetermined maximum concentration force Max and a minimum concentration force Min. Determine your level of concentration.

In the present invention, an example of dividing the concentration level into 10 steps of 1 to 10, and the maximum concentration (Max) and the minimum concentration (Min) divided into 10 equal parts at equal intervals to set each concentration level section as an example do.

In addition, the maximum concentration (Max) and the minimum concentration (Min) is an example of calculating using the average value of the L concentration of the initial concentration of EEG. For example, if ten concentrations are calculated from the initial use of the EEG game system, ten average values are calculated, and the average value ㅁ R (e.g., R = 1) is calculated as the maximum concentration (Min) and the minimum concentration (Min). Can be set to).

Accordingly, a suitable maximum concentration and minimum concentration can be set according to the user and the current brain wave state even if the same user is the same. Done.

Meanwhile, the level reference corrector 14 corrects the maximum concentration force Max and the minimum concentration force Min based on the concentration level detected by the concentration level detector 13. Here, the detailed description of the level reference corrector 14 will be described in detail through the concentration level detection method to be described below, which is applied to the brain wave detection headset 10.

Hereinafter, the concentration level detection method applied to the EEG headset 10 according to the above configuration will be described in detail with reference to FIGS. 4 and 5.

First, EEG is measured for each channel through the EEG detection electrodes 11a and 11b (S10). Here, the average value of the brain waves measured for each channel is calculated by the average value calculator 13a through the analog processing module and the A / D converter 12b (S11).

Then, when the calculation of the average value is completed, the concentration is calculated through the above [Equation 1] (S12). Here, the beta wave (β wave), the mid beta wave (Mid-β wave), and theta wave (θ wave) applied to Equation 1 are respectively calculated through an analog processing module and an A / D converter 12b. An average value is calculated by the unit 13a and applied to [Equation 1].

As described above, when the concentration is calculated, the concentration level for the concentration may be determined according to the plurality of concentration level intervals divided between the maximum concentration and the minimum concentration (Min) (S13). Here, the maximum concentration force Max and the minimum concentration force Min that are initially applied may be set to a predetermined value, and as described above, the detection is sequentially performed when the user wears the EEG detection electrodes 11a and 11b. The sum of -1 of the average values of the ten concentrations can be set as the minimum concentration (Min) and the sum of +1 can be set as the maximum concentration (Max). The minimum concentration force Min and the maximum concentration force Max applied from inx 1 to FIG. 5 are taken as an example using 10 average values.

As described above, in the process of repeatedly performing the steps S10 to S13, it is determined whether or not the concentration level T of the previous T ₁ is collected (S14). In the present invention, setting T ₁ to four is taken as an example. That is, when four concentration levels are sequentially detected, step S14 is performed.

Then, it is determined whether the concentration level of T ₁ immediately before belongs to any one of the plurality of level determination criteria. In the present invention, it is assumed that the plurality of level determination criteria include the VH bias criterion, the MH bias criterion, the ML bias criterion, and the VL bias criterion.

First, the VH bias criterion satisfies when all of the collected T ₁ concentration levels exceed the concentration level h, and the MH bias criteria indicates that all of the collected T ₁ concentration levels exceed the concentration level i (i <h). If you are satisfied.

For example, when the concentration level according to the present invention is set in 10 steps from level 1 to 10, h and i may be set to 8 and 7, respectively. Therefore, when T ₁ , that is, the four concentration levels exceeding 8 as in the above-described example, it can be determined that the concentration level continues to be quite high, and that all four concentration levels exceed 7 In this case, it is relatively lower than the VH bias criterion, but it may be judged to appear slightly higher in the entire level section.

Similarly, the ML biasing criterion is met if all of the collected T ₁ concentration levels are less than the concentration level j (j <i), and the VL bias criteria are all of the T ₁ concentration levels are less than the concentration level k (k <j). It is an example to meet the case. In the present invention, it is assumed that j and k are set to 6 and 3, respectively.

Again, when it is determined in step S15 of FIG. 4 that the concentration level of the previous T ₁ belongs to any one of the plurality of level biasing criteria, the maximum concentration force (Max) according to the first reference conversion rule previously registered for the corresponding level biasing criterion. ) And at least one of the minimum concentration (Min) is corrected, and the subsequent EEG is detected and reflected in the concentration level determination (S16).

Here, the first reference conversion rule according to the present invention is as shown in [Table 1].

Level bias First criteria conversion rule VH bias standard Increased maximum concentration and minimum concentration MH bias standard Max concentration increase ML bias standard Minimal Concentration (Min) Decrease VL bias standard Reduction of maximum concentration (Min) and minimum concentration (Min)

Referring to Table 1, when the concentration level of T ₁ falls within the VH bias standard, that is, when the concentration level is measured very high, both the maximum concentration level (Max) and the minimum concentration level (Min) are increased. Through this, the section for evaluating the concentration level is adjusted upward as a whole, and the concentration level is lowered as a whole for the same concentration.

When the concentration level of T ₁ belongs to the MH bias standard, that is, when the concentration level is measured relatively high, only the maximum concentration level Max is increased. In this case, the concentration level is increased to the higher side of the section for evaluating the concentration level, and the lower the concentration level is, the lower the level appears.

In the same way, if the concentration levels of T ₁ belong to the ML biasing criteria, that is, when the concentration level is measured relatively low, only the minimum concentration Min is reduced. In this case, the concentration level is increased to the lower side of the section for evaluating the concentration level, so that the higher concentration level appears at the lower side.

In addition, when the concentration level of T ₁ falls within the VL bias reference, that is, when the concentration level is measured very low, both the maximum concentration level Max and the minimum concentration level Min are reduced. As a result, the section for evaluating the concentration level is overall lowered, so that the concentration level is increased overall for the same concentration.

Through the above process, when the concentration level of T ₁ is evaluated by measuring the concentration level of the previous T _one high or low, it is reflected in the evaluation of the concentration level later, and thus, more effective and practical concentration level detection is possible. .

Herein, the increase and decrease of the maximum concentration force Max and the minimum concentration force Min according to the first reference conversion rule may be set to increase and decrease according to a preset ratio, for example, an increase of the maximum concentration force Max. And decrease may be set to increase and decrease to 5% of the current maximum concentration (Max), and likewise increase and decrease of minimum concentration (Min) may also be set to increase and decrease to 5% of the current minimum concentration (Min). have.

Referring back to FIG. 4, in the case where at least one of the maximum concentration force Max and the minimum concentration force Min is corrected and reflected according to the first reference conversion rule in step S16, when an EEG is received later, the correction is corrected. The concentration level of T ₁ immediately before reflected in is initialized (S18). That is, the concentration level of immediately preceding T ₁ collected for the correction of the maximum concentration and / or minimum concentration Min is not used for the correction of the subsequent maximum concentration and / or minimum concentration Min, The concentration level detected by the newly applied maximum concentration (Max) and minimum concentration (Min) is collected and reflected through the process of collecting again, that is, performing steps S10 to S16.

On the other hand, when the immediately preceding T ₁ level of concentration, in step S15 it is determined as not included in any of a plurality of levels based on a bias, it is determined whether the T immediately before the acquisition of _two concentration levels (S19). Herein, T ₂ is set to be larger than T _{1. In the} present invention, T ₁ is set to 4 and T ₂ is set to 10 as described above.

More specifically, when the concentration level of each of the previous 4 (T ₁ ) is not included in the level bias criterion continues and 10 (T ₂ ) concentration levels are collected, that is, the concentration level is medium to large. If there is no change, the maximum concentration (Max) and the minimum concentration (Min) is corrected according to the pre-registered second reference conversion rule and reflected in the concentration level determination (S16).

Here, the second reference conversion rule is set such that the maximum concentration force Max is decreased and the minimum concentration force Min is increased. That is, as the interval between the maximum concentration force Max and the minimum concentration force Min decreases, the concentration level may change even if the concentration force calculated in step S12 changes relatively little.

Herein, the decrease in the maximum concentration force Max and the increase in the minimum concentration force Min according to the second reference conversion rule may be set to decrease and increase according to a preset ratio, similar to the first reference conversion rule described above. It may be set to decrease and increase to 5% of the maximum concentration (Min) and the minimum concentration (Min).

Referring back to FIG. 4, in the step S16, when the maximum concentration force Max and the minimum concentration force Min are corrected and reflected according to the second reference conversion rule, and after the EEG is received, the first reference conversion rule is applied to the first reference conversion rule. As with the correction accordingly, the concentration levels of the immediately preceding T ₂ are initialized (S18). That is, the previous T ₂ concentration levels that were collected for the correction of the maximum concentration and the minimum concentration Min are not used for the correction of the subsequent maximum concentration and / or the minimum concentration. The concentration level detected by the maximum concentration force Max and the minimum concentration force Min is collected and reflected through the process of being collected again, that is, performing steps S10 to S19.

Figure 5 shows an example of the concentration, concentration level, maximum concentration (Max) and minimum concentration (Min) calculated through the above process. Here, as in the above example, it is assumed that the variables of the level bias reference, h, i, j, k are set to 8, 7, 6, and 3, respectively. In addition, it is assumed that T1 and T2 are set to 4 and 10, respectively.

First, all four concentration levels calculated from idx 1 to idx 4 are detected as 6 so that they are not included anywhere in the level biasing criteria. Idx 2 to idx 5, idx 3 to idx 6, idx 4 to idx 7, idx 5 to In the intervals of idx 8, idx 6 to idx 7, idx 7 to idx 10, all six are equally detected and are not included in the level bias criteria.

Therefore, the concentration level detection process of idx 11, that is, 10 concentration levels immediately before the maximum concentration (Max) and minimum concentration (Min) is reduced and increased respectively according to the second reference change rule to detect the concentration level of idx 12 Is reflected from In FIG. 5, as described above, the increase and decrease to 5% are taken as an example.

Again, as described above, the same process is performed from the idx 12th detection in the initialized state. Even in the process where 10 concentration levels from idx 12 to idx 21 are detected, they are not included in the level bias criterion. In accordance with the second standard change rule, the maximum concentration (Max) and the minimum concentration (Min) were decreased and increased, respectively, to reflect the concentration level detection of idx 22.

Then, in the reinitialized state, the same process is performed from the idx 23rd detection, and the concentration levels from idx 23 to idx 26 are all detected as 1, and are included in the VL bias rule among the level bias rules, and thus, the first reference conversion rule. The maximum concentration and the minimum concentration were both reduced and reflected from idx 27.

In addition, all concentration levels of idx 27 to idx 30 were detected as less than 3, that is, 2,2,1,2, and included in the ML biasing rule among the level biasing rules, and thus the minimum concentration value according to the first reference conversion rule. Only reduced.

In the above-described embodiment, as illustrated in FIG. 3, an example of applying the concentration level detecting method according to the present invention to an EEG detecting apparatus, that is, an EEG detecting headset 10 is taken as an example. This is only an embodiment according to the present invention, and the functions of the average value calculator 13a, the concentration calculator 13b, the level determiner 13c and the level reference corrector 14 are selectively selected. Of course it can be implemented in).

Although several embodiments of the present invention have been shown and described, those skilled in the art will appreciate that various modifications may be made without departing from the principles and spirit of the invention . The scope of the invention will be determined by the appended claims and their equivalents.

10: EEG detection headset 11a, 11b, 11c, 11d: EEG detection electrode
12: EEG signal processor 13: concentration level detector
14 level reference correction unit 15 headset interface unit
30: game device

Claims (10)

In the concentration level detection method for calculating the concentration level from the brain waves,
(a) registering a plurality of level biasing criteria;
(b) calculating concentration based on a signal sensed through the EEG detection electrode;
(c) determining a concentration level with respect to the calculated concentration level according to a plurality of concentration level ranges divided between a predetermined maximum concentration level and a minimum concentration level;
(d) determining whether the previous concentration level of T ₁ belongs to any one of the plurality of level biasing criteria by repeating steps (b) and (c);
(e) When the concentration level of the previous T _one in the step (d) belongs to any one of the plurality of level biasing criteria, the maximum concentration and the maximum concentration in accordance with the first reference conversion rule previously registered for the level biasing criterion; Comprising the step of correcting at least one of the minimum concentration, concentration level detection method for calculating the concentration level from the EEG. The method of claim 1,
When the step (e) is performed, the steps (b) to (e) from the signal after being detected through the EEG detection electrode according to the maximum concentration and minimum concentration corrected through the step (e) A concentration level detection method, characterized in that performed. 3. The method of claim 2,
(f) immediately before through the immediately preceding T ₁ performing one of concentration, if the level is not contained in any one of the plurality of level bias reference, the step (b) and (c) the repetition of steps in the step (d) T Determining whether ₂ (where T ₂ > T ₁ ) concentration levels have been collected;
(g) if it is determined in step (f) that the T ₂ concentration levels are collected, the concentration level detection is corrected according to the registered second reference conversion rule; Way. The method of claim 3,
If it is determined in step (f) that the T ₂ concentration levels are not collected, steps (b) to (g) are performed. 5. The method of claim 4,
When the step (g) is performed, the steps (b) to (g) from the signal after being detected through the EEG detection electrode according to the maximum concentration and minimum concentration corrected through the step (g) A concentration level detection method, characterized in that performed. The method according to any one of claims 1 to 5,
The plurality of level bias criteria,
It belongs when the T ₁ level of concentration of both exceed the concentration level h VH bias reference and;
An MH bias criterion belonging to a case where T ₁ concentration levels all exceed concentration levels i (i &lt;h);
An ML biasing criterion belonging to a case where all of the T ₁ concentration levels are less than the concentration level j (j <i);
T ₁ level of concentration of both the concentration level k concentration level detecting method comprising the VL belongs to the reference bias if (k <j) below. The method according to claim 6,
The first reference conversion rule is,
If T ₁ level of concentration of the belonging to the VH reference bias, and increases the maximum concentration and the minimum concentration;
When the T ₁ concentration level falls within the MH bias criterion, the maximum concentration is increased;
If T ₁ concentration level falls within the ML biasing criterion, the minimum concentration is reduced;
And when the concentration level of T ₁ falls within the VL bias criterion, the maximum concentration level and the minimum concentration level are set to be reduced. 8. The method of claim 7,
And the first reference conversion rule is set such that the maximum concentration force and the minimum concentration force increase or decrease at a predetermined ratio. 6. The method according to any one of claims 3 to 5,
And the second reference conversion rule is set such that the maximum concentration is reduced and the minimum concentration is increased. The method according to any one of claims 1 to 5,
The maximum concentration and the minimum concentration set in the step (c) is set by the maximum value and the minimum value of a predetermined range centered on the average value of the predetermined number of concentrations collected sequentially from the first EEG detection How to detect concentration level.

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