KR20220089862A - Respiration training system and apparatus for measuring respiration included therein - Google Patents

Abstract

The present invention relates to a breathing training system that provides breathing training contents to a user. The respiratory training system, a display device for displaying the breathing training content, respiration information for the internal pressure of the flow passage to which the user's respiration is applied, and a respiration measurement device for measuring the position change information for the change in the position of the flow passage and Receiving the measurement data, including a control device for controlling the operation of the breathing training content based on the measurement data, the control device, based on the position change information, of the pointer included in the breathing training content Changing the location, based on the respiration information, includes performing an input to the pointer.

Description

Respiration training system and respiration measuring device included therein {Respiration training system and apparatus for measuring respiration included therein}

The present invention relates to a breathing training system that controls the operation of breathing training contents based on the respiration information and position change information measured by the respiration measurement device in connection with the respiration measurement device, and provides customized respiration training contents to the user.

With the development of industry, the number of people suffering from respiratory diseases or respiratory failure due to pollutants discharged from factories or automobiles, yellow dust or fine dust containing heavy metals, etc. is increasing every year. Accordingly, interest in breathing training that improves breathing ability by training breathing accuracy and breathing duration is increasing.

One of the conventional breathing training apparatus, three balls are movably inserted into the body of the trainer, and the user blows air into the body of the trainer by mouth to lift the ball upward. However, since this breathing training repeats only simple breathing, it is difficult for users to lose concentration or interest in the breathing training process and expect continuous training results.

In addition, when using a uniformly set breathing training program, there was a problem in that it was difficult to obtain an improvement effect on the breathing function, and there was a need for customized breathing training contents according to the breathing ability of the user.

An object of the present invention is to provide a breathing training system that can measure the user's respiration and position change using a respiration measurement device, and control the operation of the breathing training contents based on the respiration information and the position change information.

In addition, another object of the present invention is to analyze the user's respiration information measured through the respiration measurement device, and calculate a target value for each user, an increase/decrease unit, or a possible improvement range by using the analysis result of the respiration information, based on this It is to provide a breathing training system that can recommend customized breathing training contents to users.

In addition, another object of the present invention is to provide a breathing training system capable of deriving the expected improvement rate of the user using the deep learning module learned in advance, and recommending the optimal breathing training contents for the user based on this. .

The objects of the present invention are not limited to the above-mentioned objects, and other objects and advantages of the present invention not mentioned may be understood by the following description, and will be more clearly understood by the examples of the present invention. It will also be readily apparent that the objects and advantages of the present invention may be realized by the means and combinations thereof indicated in the appended claims.

Respiratory training system according to some embodiments of the present invention, a display device for displaying breathing training contents, respiration information about the internal pressure of the flow passage to which the user's respiration is applied, and position change information for the position change of the flow passage portion Respiratory measurement device for measuring, and receiving the measurement data, including a control device for controlling the operation of the breathing training content based on the measurement data, the control device, based on the position change information, the respiration Changing the position of the pointer included in the training content, based on the respiration information, includes performing an input to the pointer.

In addition, the control device, based on the respiration information, determines the user's exhalation or inspiration, and when the respiration information is determined to be exhalation, performs a first input with respect to the pointer, and the respiration information is If it is determined, a second input different from the first input may be performed with respect to the pointer.

Also, the first input may correspond to a left-click input with respect to the pointer, and the second input may correspond to a right-click input with respect to the pointer.

In addition, the first input corresponds to a selection input for a character or an item indicated by the pointer in the breathing training content, and the second input corresponds to a predetermined operation for the selected character or item. may correspond to the input.

In addition, the control device, based on the respiration information, analyzes the user's respiration accuracy, respiration duration, or respiration response pattern, and based on the result of the analysis, the respiration time or respiration pressure of the user An average value is derived, and based on the derived average value, a target value or an increase/decrease unit for the user's breathing time or breathing pressure is calculated, and an optimal breathing training content can be selected based on the target value and the increase/decrease unit. .

In addition, the control device analyzes the user's respiration accuracy, respiration duration, or respiration response pattern while performing the respiration training content, and based on the results of the analysis, increase/decrease in lung capacity, increase/decrease in respiration duration Alternatively, it is possible to calculate the improvement possible range for the increase or decrease of the respiratory pressure, and select the optimal breathing training content based on the calculated improvement possible range.

In addition, selecting the optimal breathing training content, based on the improvement possible range, calculating an expected improvement rate according to the user's training level, and selecting the type or level of the breathing training content based on the expected improvement rate may include

In addition, the control device includes calculating the expected improvement rate of the breathing training content using the deep learning module learned in advance, and selecting the optimal breathing training content using the calculated expected improvement rate, the deep learning module , an input layer having the user's personal information, the respiration information, and content information as input nodes, an output layer having the improvement rate as an output node, and one or more hidden layers disposed between the input layer and the output layer and the weights of nodes and edges between the input node and the output node may be updated by a learning process of the deep learning module.

In addition, the respiration measurement device, a pressure sensor unit for measuring the respiration information by measuring the positive pressure or negative pressure of the flow passage, and a position change sensor unit for measuring the position change information by detecting a change in the position of the flow passage, and measurement It may include a communication unit for transmitting the respiration information and the position change information to the control device.

On the other hand, the respiration measurement device according to some embodiments of the present invention, a housing having a through-hole formed therein, a flow passage formed on one side of the housing, an opening formed on one side of the flow passage portion, and fastened to the user's oral cavity, the flow passage A sensor module including a discharge part formed on the other side of the part and having a narrower diameter than the opening part, a pressure sensor part for measuring positive or negative pressure in the flow passage part, and a position change sensor part for detecting a change in the position of the housing, the A through-hole formed on the side of the flow path and a connection unit for connecting the sensor module, and a communication unit for transmitting the respiration information measured by the pressure sensor unit and the position change information measured by the position change sensor to the control device.

Respiratory training system according to the present invention, by manipulating the movement of a character or item provided in the breathing training content based on the change in the position and respiration of the user wearing the breathing apparatus, the user's interest in the breathing training content and concentration can be increased.

In addition, the present invention, by allowing the control of the content that was conventionally controlled through another interface using a respiration measurement device, it is possible to increase the compatibility and versatility of the content. Through this, the user can perform breathing training using various contents, so that accessibility and fun of breathing training can be increased.

In addition, the present invention, by analyzing the user's respiration information measured through the respiration measurement device to calculate a target value, increase/decrease unit or improvement possible range for each user, and select and provide customized breathing training content to the user based on this, It is possible to improve the breathing training effect of the user.

In addition, the present invention derives the user's expected improvement rate using a pre-learned deep learning module, and recommends the optimal breathing training content for the user based on this, thereby increasing the hit rate for selecting the optimal breathing training content for each user , it is possible to reduce the time and resources required for selection of the optimal breathing training contents.

The specific effects of the present invention in addition to the above will be described together while explaining the specific details for carrying out the invention below.

1 is a conceptual diagram for explaining a breathing training system according to some embodiments of the present invention.
Figure 2 is a block diagram for explaining each component of the breathing training system of Figure 1.
3 to 5 is a view for explaining a breathing apparatus according to some embodiments of the present invention.
6 is a flowchart for explaining the operation method of the breathing training system according to some embodiments of the present invention.
7 is a view for explaining an initial positioning method of the display device in the breathing training system according to some embodiments of the present invention.
8 is a flowchart for explaining a content control method of the breathing training system according to some embodiments of the present invention.
9 is a view for explaining an example of the content control method of the breathing training system according to some embodiments of the present invention.
10 is a flowchart for explaining a method for selecting the optimal breathing training content in the breathing training system according to an embodiment of the present invention.
11 is a flowchart for explaining a method of selecting the optimal breathing training content in the breathing training system according to another embodiment of the present invention.
12 is a block diagram for explaining a method for selecting optimal breathing training content using a deep learning module in a breathing training system according to another embodiment of the present invention.
13 is a diagram illustrating the configuration of the deep learning module of FIG. 12 .

Terms or words used in this specification and claims should not be construed as being limited to a general or dictionary meaning. In accordance with the principle that the inventor can define a term or concept of a word in order to best describe his/her invention, it should be interpreted as meaning and concept consistent with the technical idea of the present invention. In addition, since the embodiments described in this specification and the configurations shown in the drawings are only one embodiment in which the present invention is realized, and do not represent all the technical spirit of the present invention, they can be substituted at the time of the present application. It should be understood that there may be various equivalents and modifications and applicable examples.

The respiratory training system of the present invention can be applied and utilized to chronic obstructive pulmonary disease (COPD), asthma patients, and respiratory disease patients in the current disease classification system (DSM-V), and the general public who wants to know their physical ability information; It can be used by the general public who want to improve the lung capacity of their children.

In addition, the respiratory training system of the present invention can use all information that can be collected, such as the user's disease information, age information, gender information, country information, local information and software use information. The respiratory training system of the present invention is artificial intelligence for deriving the optimal scenario for the expected improvement rate for each disease, age, training method, gender and characteristic, or deriving related statistics and main related data by converting the collected information into big data. available for analysis.

Hereinafter, a respiratory training system for controlling the operation of the breathing training contents based on the respiration information and the position change information measured by the respiration measuring device and providing the optimal respiration training contents to the user will be described in detail with reference to the drawings. to do it

1 is a conceptual diagram for explaining a breathing training system according to some embodiments of the present invention.

Referring to FIG. 1 , the respiratory training system according to an embodiment of the present invention includes a control device 100 , a respiration measurement device 200 and a display device 300 .

The control device 100 may control the operation of the breathing training contents using the user's respiration information and position change information measured by the respiration measuring device 200, and select and provide breathing training contents suitable for the user. At this time, the respiration measurement device 200 may measure the user's respiration information and position change information based on the sensor module (210 of FIG. 2) included therein.

In addition, the control device 100 may select and provide optimal breathing training content suitable for the user based on the user's breathing information, location change information, and big data collected from various users.

In addition, the control device 100 uses a machine learning module learned based on the user's breathing information, location change information, and collected big data, by selecting breathing training content that can improve the user's breathing ability to the maximum. can recommend

For example, the control device 100 may receive the user's personal information, respiration information, or content information as input parameters, and receive the expected improvement rate of the user for each breathing training content as an output parameter to train machine learning.

Then, the control device 100, based on the user's personal information, respiration information, and content information, calculates the candidate group of the breathing training contents that can be provided to the user and the increase/decrease or expected improvement rate of the breathing ability, the highest expected improvement rate among the candidate group It is possible to select the indicated breathing training content as the optimal content and provide it to the user.

The control device 100 may provide breathing training content to the display device 300 . Here, the breathing training content may include content that can implement augmented reality (AR) or virtual reality (VR). For example, the user may perform a mission for breathing training by adjusting a character in virtual reality (VR) content provided by the display device 300 .

However, the present invention is not limited thereto, and content that is conventionally controlled using another interface (eg, a mouse) may be used as breathing training content. At this time, the respiration measurement device 200 may perform an operation to control the content in place of the conventional interface.

While the breathing training content is provided to the display device 300, the control device 100 receives the respiration information and position change information (hereinafter, measured data) measured by the respiration measuring device 200 . At this time, the respiration measurement device 200 can transmit the user's respiration information and location change information measured while the content is provided using the sensor module (210 in FIG. 2) included therein to the control device 100 in real time. have.

Then, the control device 100 may control the operation of the breathing training content based on the measurement data. In this case, the operation of the breathing training content may include an operation performed inside the content (eg, movement of a pointer or selection of a character, etc.).

Specifically, the control device 100 may change the position of the pointer displayed in the breathing training content based on the position change information measured by the respiration measurement device (200).

In addition, the control device 100 may determine whether exhalation or inspiration for the respiration information measured by the respiration measurement device (200). The control device 100 may perform a first input or a second input different from the first input with respect to the pointer in the content according to exhalation or inhalation. A detailed description thereof will be provided below.

Then, the control device 100 may provide the operation-controlled breathing training content to the display device (300). The display apparatus 300 may display an operation control process for the received content.

In addition, the control device 100 may analyze the user's respiration accuracy, respiration duration, or respiration response pattern based on the received respiration information. The control device 100 may calculate a target value or an increase/decrease unit for the user's respiration time and respiration pressure based on the derived analysis result. The control device 100 may select the optimal breathing training content based on the calculated target value or the increase/decrease unit.

In addition, the control device 100 may analyze the user's respiration accuracy, respiration duration or respiration response pattern based on the respiration information received while the respiration training content is provided. The control device 100 may calculate a possible improvement range for the increase/decrease in the user's lung capacity, respiration duration, or respiration pressure based on the derived analysis result. Then, the control device 100 may select the type or level of the breathing training content using the expected improvement rate calculated based on the improvement possible range. Then, the control device 100 may provide the optimal breathing training content tailored to the user by applying the selection result to the breathing training content.

Then, the control device 100 may provide the selected optimal breathing training content to the display device 300, the display device 300 may display the received content.

Hereinafter, the detailed configuration of the breathing training system will be described in detail.

Figure 2 is a block diagram for explaining each component of the breathing training system of Figure 1.

Referring to FIG. 2 , the control apparatus 100 of the breathing training system may include a breathing diagnosis unit 110 , a content providing unit 120 , and a database unit 130 .

Respiratory diagnosis unit 110 can determine whether respiration and respiration pressure using the respiration information received from the respiration measurement device 200, based on this, the average value, target value, increase/decrease unit or improvement for each user for respiration is possible range can be calculated.

Specifically, the respiration diagnosis unit 110 determines whether exhalation or inspiration for the user's respiration based on the respiration information received from the respiration measurement device 200 . At this time, the respiration diagnosis unit 110 may determine the user's exhalation or inspiration by using the positive or negative pressure formed inside the respiration measurement device (200). For example, when the internal pressure of the respiration measurement device 200 is measured as positive pressure, the respiration diagnosis unit 110 may determine the user's respiration as exhalation, and when the negative pressure is measured, the user's respiration is inhaled. can be judged as

In addition, the respiration diagnosis unit 110 may extract at least one of a user-specific respiratory training target value, an increase/decrease unit, or a possible improvement range by analyzing the user's respiration accuracy, respiration duration, and respiration response pattern based on respiration information. have.

Specifically, the respiration diagnosis unit 110 may derive an average value for the respiration time and respiration pressure by analyzing the user's respiration information. The respiration diagnosis unit 110 may calculate a user's target value and an increase/decrease unit for respiration time and respiration pressure based on the derived average value.

In addition, the respiration diagnosis unit 110 may analyze the respiration information received while the respiration training content is provided, and calculate a possible improvement range for the increase/decrease in lung capacity, respiration duration, and respiration pressure. The control device 100 may calculate the user's training level and the expected improvement rate based on the calculated improvement possible range.

The content providing unit 120 may select the most suitable breathing training content for the user based on the calculated target value, increase/decrease unit, training level or expected improvement rate, and provide the corresponding breathing training content to the display device 300 . . For example, the content providing unit 120 may change the type or level of the breathing training content provided to the user based on the user's training level and the expected improvement rate extracted by the respiration diagnosis unit 110 .

In addition, the content providing unit 120 may control the operation of the content based on the respiration information or position change information received from the respiration measurement device 200 while the user performs the breathing training content.

The content providing unit 120 may perform a first input or a second input with respect to the pointer in the content based on whether the exhalation or inspiration determination received from the respiration diagnosis unit 110 is determined.

For example, when the respiration information is exhalation, the control device 100 may perform a first input to the pointer, and in the case of inspiration, may perform a second input to the pointer. In this case, the first input may correspond to a left click with respect to the pointer, and the second input may correspond to a right click with respect to the pointer.

More specifically, when recognizing the user's exhalation, the content providing unit 120 is an input (ie, selection) for selecting a component (eg, character or item, etc.) of the content indicated by the pointer in the breathing training content. input) can be provided. Next, when the user's intake is recognized, the content providing unit 120 may provide an input (ie, an execution input) for performing a predetermined operation (eg, forward) with respect to the selected component. However, this is only an example of the present invention, and the present invention is not limited thereto.

In addition, the content providing unit 120 may change the position of the pointer displayed in the breathing training content based on the position change information received from the respiration measurement device (200).

Subsequently, the content providing unit 120 may provide the operation performing process of the breathing training content to the display device 300 .

The database unit 130 may store and manage the user's personal information, respiration information, location change information, and content information. In this case, the user's personal information may include information about the user's age, gender, country, region, and disease. The above-described content providing unit 120 may comprehensively analyze the user's personal information and content information stored in the database unit 130 to select and provide the most suitable breathing training content for the user.

The information collected while performing the breathing training contents includes the user's unique information (ID), user medical history, current state information, respiration information (exhalation or inspiration, respiration time and respiration pressure), location change information, training information (gaming content curriculum creation and execution information), and the like. However, this is only an example, and the information collected in the present invention may be variously modified and implemented.

Respiratory measurement device 200 may include a sensor module 210, a communication unit 220 and a battery unit 230.

The sensor module 210 is disposed inside the respiration measuring device 200, it is possible to measure the user's respiration information and location change information. The sensor module 210 may include a pressure sensor unit 211 and a position change sensor unit 212 .

The pressure sensor unit 211 may measure the internal pressure of the respiration measurement device (200). Specifically, when the user exhales (ie, in the case of exhalation), the internal pressure of the respiration measuring device 200 increases, so the positive pressure can be measured in the pressure sensor unit 211 . Conversely, when the user breathes in (ie, in the case of inhalation), the internal pressure of the respiration measurement device 200 decreases, the pressure sensor unit 211 may measure the negative pressure.

The control device 100 may determine whether exhalation or inhalation with respect to the user's respiration information based on the measured positive or negative pressure, and may perform an input (eg, an input to a pointer) accordingly.

The position change sensor unit 212 may detect a change in the position, angle, speed, or acceleration of the respiration measurement device 200 that changes while the user performs the breathing training content.

For example, the position change sensor unit 212 may be configured as a 9-axis sensor, and accordingly, a position for each axis (eg, an x-axis, a y-axis, and a z-axis in the xyz coordinate system) for the user's movement. , velocity and acceleration can be measured. Accordingly, the position change sensor unit 212 can measure the change in position, speed, and acceleration for the point indicated by the discharge unit 203 of the respiration measurement device 200 .

The position change information measured by the position change sensor unit 212 may be used to change the position of the pointer within the breathing training content. Here, the position change information includes information about the position and angle for each time unit of the respiration measurement device (200). Therefore, a typical device can derive the movement speed and acceleration for each axis of the respiration measurement device 200 based on the position change information, of course.

As another example, the position change sensor unit 212 may be configured as a 6-axis sensor. The 6-axis sensor is a model with a geomagnetic sensor added, and it may be possible to track the direction of movement.

The communication unit 220 may transmit the respiration information and the position change information measured by the sensor module 210 to the control device 100 . In this case, the communication unit may transmit/receive data using Bluetooth or Wi-Fi. However, the present invention is not limited thereto.

The battery unit 230 may be connected to the sensor module 210 and the communication unit 220 to provide power to the sensor module 210 and the communication unit 220 .

The display device 300 may include a display unit 310 and a memory unit 320 . The display device 300 may display the breathing training content received from the control device 100 on the display unit 310 . In this case, data related to the content used in the content execution process may be stored in the memory unit 320 .

The display device 300 may receive the operation-controlled breathing training content from the control device 100 in real time and display it on the display unit 310 , and the control device 100 in the content stored in advance in the memory unit 320 . It goes without saying that the operation of the content can be displayed by applying the control signal received from the .

The software linked to the control device 100 may be software for cognitive training based on visual software mainly implemented as a breathing-related functional game. That is, the present invention can proceed with the breathing training of the user through the software.

However, the present invention is not limited thereto, and the control device 100 can control content that was previously controlled through another interface (eg, a mouse) using the respiration measurement device 300 . .

Through this, the present invention can increase the compatibility and versatility of the contents, and the user can perform breathing training using various contents, so that accessibility and fun of breathing training can be increased.

Hereinafter, the configuration of the respiration measurement device 200 associated with the respiratory training system will be described in detail.

3 to 5 is a view for explaining a respiration measurement device according to some embodiments of the present invention. Here, Figure 3 shows the outer surface of the respiration measurement device, Figure 4 shows the internal configuration of the respiration measurement device, Figure 5 is a view showing the connection relationship of each component related to the flow path portion of the respiration measurement device.

In addition, <a1> of FIG. 3 is a plan view of the respiration measuring device 200, <a2> is a left side view of the respiration measuring device 200, <a3> is a front view of the respiration measuring device 200, <a4 > is a right side view of the respiration measurement device (200).

3 to 5, the respiration measurement device 200 is a flow path portion 201, an opening 202, a discharge portion 203, a connection portion 204, a housing 205, a through hole 206, a sensor It includes a module 210 , a communication unit 220 , and a battery unit 230 .

The flow path part 201 may have an open tube structure, and may transmit air injected from one side to the other side. In this case, the diameters of one side and the other side of the flow passage may be set to be different. That is, the flow path part 201 may have different diameters on one side and the other side, thereby amplifying the pressure of air formed inside the flow path part 201 .

For example, the diameter of one side (ie, the opening 202 ) of the flow path part 201 may be larger than the diameter of the other side (ie, the discharge part 203 ). More specifically, the diameter ratio of one side and the other side of the flow path part 201 may be 2:1. However, this is only an example, and the present invention is not limited thereto.

The opening 202 may be formed on one side of the flow path part 201 , and the discharge part 203 may be formed on the other side of the flow path part 201 . The opening 202 and the discharge unit 203 may deliver air to the inside of the flow path unit 201 according to the user's breathing. The opening 202 may include an oral fastening portion 202a. The oral fastening portion 202a may be coupled to one side of the opening 202 and may connect the user's oral cavity to the opening 202 . The oral fastening portion 202a is formed to be replaceable with the opening 202 , and may be coupled to or separated from the opening 202 .

For reference, in FIGS. 4 and 5, the diameter of the opening 202 fastened with the oral cavity fastening portion 202a is shown to be narrower toward the distal end, but the present invention is not limited thereto, and the opening 202 and the oral cavity fastening unit are not limited thereto. Of course, the diameter of the (202a) can be variously modified and implemented.

Specifically, when the user exhales, the user's exhalation (bo) may be transmitted to the flow passage 201 through the opening 202 . Subsequently, the positive pressure formed inside the flow path part 201 may be formed, and the air inside the flow path part 201 may be discharged to the outside through the discharge part 203 .

On the other hand, when the user inhales, a negative pressure is formed inside the flow passage 201 , and external air flows into the other side of the flow passage 201 (that is, the discharge portion 203 ) to the flow passage 201 . and through the opening 202 .

The connection part 204 connects the flow path part 201 and the sensor module 210 . The connection part 204 may include a flow path connection part 204a and a sensor connection part 204b.

Specifically, the flow path connection part 204a may be formed to protrude from the flow path part 201 to be coupled to the sensor connection part 204b. One side of the sensor connection part 204b may be coupled to the flow path connection part 204a , and the other side may be coupled to the sensor module 210 . Accordingly, the sensor module 210 may measure the air pressure inside the flow passage 201 .

The housing 205 may be formed to include a part of the flow path unit 201 , the sensor module 210 , the communication unit 220 , and the battery unit 230 . In this case, the opening 202 and the discharge port 203 of the flow passage 201 may be formed to be exposed to the outside.

The housing 205 may have a through hole 206 on the inside so that the user can easily grip it by hand. For example, the through hole 206 may be formed in a triangular shape inside the housing 205 . However, this is only an example and the present invention is not limited thereto.

The sensor module 210 is coupled to the flow path unit 201 through the connection unit 204 , and may measure the user's respiration information and the position change information of the flow path unit 201 .

Specifically, when the user performs an exhalation operation through the opening 202, air moves from the opening 202 having a relatively large diameter to the discharge unit 203 having a relatively small diameter. Internal pressure can increase rapidly. In proportion to the internal pressure of the flow path part 201 , the internal pressure of the connection part 204 connected to one side of the flow path part 201 may increase, and the sensor module 210 controls the pressure formed inside the flow path part 201 . can be measured

Conversely, when the user performs an intake operation through the opening 202, the air introduced into the discharge unit 203 with a diameter moves to the opening 202, so that the internal pressure of the flow path unit 201 can be rapidly reduced. have. Accordingly, a negative pressure may be formed inside the flow path 201 , and the sensor module 210 may measure the negative pressure inside the flow path 201 .

The sensor module 210 may detect a change in the position of the respiration measurement device 200 . For example, a 9-axis sensor is mounted inside the sensor module 210, it is possible to measure the angular velocity and acceleration of the movement of the respiration measurement device (200).

The communication unit 220 may be connected to the sensor module 210 , and may transmit respiration information and position change information measured by the sensor module 210 to the control device 100 . In this case, the communication unit may transmit/receive data using a wireless communication protocol.

The battery unit 230 may be connected to the sensor module 210 and the communication unit 220 to provide power to the sensor module 210 and the communication unit 220 . In this case, the battery unit 230 may be individually connected to the sensor module 210 and the communication unit 220 to provide power.

Hereinafter, the overall operation sequence of the respiratory training system using the respiration measurement device of the present invention will be described.

6 is a flowchart for explaining the operation method of the breathing training system according to some embodiments of the present invention.

Referring to Figure 6, in the respiratory training system of the present invention, first, the control device 100 and the respiration measurement device 200 performs pairing with each other (S110). At this time, the respiration measurement device 200 and the control device 100 may be connected to each other by wire or wireless to exchange data.

Next, the respiratory training system measures the user's basic respiration data using the respiration measurement device 200 (S121). Here, the basic respiration data is data collected for the user's respiration when the user uses the respiration training system for the first time, and may include the number of respirations per reference time, or respiration pressure.

Subsequently, the respiration measurement device 200 transmits the measured basic respiration data to the control device 100 (S125).

Then, the control device 100 selects the breathing training content (hereinafter, the content) suitable for the user using the basic breathing data (S129). A detailed description of how to select the breathing training content will be described later.

Steps S121 to S129 of selecting the optimal content using the basic breathing data may be a step provided to a user who uses the breathing training system for the first time. Therefore, in the case of a user who has a history of using the existing breathing training system, it can be omitted and carried out, of course.

Then, the control device 100 provides the selected content to the display device 300 (S131). The display device 300 displays the received content (S132).

Then, while the user performs the content, the respiration measurement device 200 measures the user's respiration information and location change information (S133). Here, the respiration measurement device 200 may measure the respiration information and the position change information through the pressure sensor unit and the position change sensor unit included in the sensor module.

Then, the respiration measurement device 200 transmits the measured data to the control device 100 (S134). Respiratory measurement device 200 may transmit all measurement data generated while the content is performed to the control device 100 in real time.

Then, the control device 100 controls the operation of the content based on the received measurement data (S135).

At this time, the control device 100 may perform an input to the object indicated by the pointer displayed in the content based on the respiration information included in the measurement data, and may change the position of the pointer based on the position change information .

Then, the control device 100 provides a change in content controlled based on the input of the respiration measurement device 200 to the display device 300 (S136).

Then, the display apparatus 300 displays the operation execution process of the content (S137).

At this time, steps S131 to S137 may be performed immediately according to the change in the data measured by the respiration measurement device (200).

That is, the control device 100 performs an operation of selecting a character or item corresponding to the pointer in the content, based on the respiration information received from the respiration measurement device 200, and can display it on the display device 300. have.

Subsequently, the control device 100 for the selected character or item may display on the display device 300 a process of performing a predetermined operation based on the received respiration information. In this case, the control device 100 may change the position of the pointer displayed in the content based on the received position change information.

This operation may be performed through the pairing and initial positioning process between the display device 300 and the respiration measurement device (200). Hereinafter, the method of initial positioning between the respiration measurement device 200 and the display device 300 will be described.

7 is a view for explaining an initial positioning method of the display device in the breathing training system according to some embodiments of the present invention.

For reference, the initial positioning of the display device 300 may be performed during the initial pairing between the display device 300 and the respiration measurement device 200 to perform a respiratory training system. However, the present invention is not limited thereto.

Referring to FIG. 7 , the display device 300 and the respiration measurement device 200 may be paired with each other. After pairing is completed, the control device 100 may transmit the initial positioning content to the display device 300 . That is, the display apparatus 300 may display the received initial positioning content.

For example, the initial positioning content may provide five initial positioning points to the display device 300 . The display apparatus 300 may display a third point P3 serving as a reference point in the center of the display apparatus 300 .

Subsequently, the display apparatus 300 may display a limit point within the screen based on the third point P3 . For example, the display apparatus 300 may display the first point P1 at the uppermost end of the left end of the display apparatus 300 , and display the second point P2 at the lowermost end of the left end of the display apparatus 300 . Also, the display apparatus 300 may display the fourth point P4 at the uppermost end of the right end and the fifth point P5 at the lower right end.

When the first to fifth points (P1 to P5) are displayed, the user may aim at each of the first to fifth points (P1 to P5) using the respiration measuring device 200 . At this time, the respiration measurement device 200 may output an aiming signal using an output device (eg, a laser light source), and the user may use the outputted aiming signal to accurately aim each point.

Then, the control device 100 is based on the position coordinates when the user aimed each of the first to fifth points (P1 to P5), the initial position setting between the respiration measurement device 200 and the display device 300 carry out

That is, the respiration measurement device 200 is displayed on the display device 300 according to the coordinate change included in the position change information received from the respiration measurement device 200, based on the position coordinates when each point was hyalated. Calculate the change in the position of the pointer.

Based on this, the control device 100 may calculate and display a change in the position of the pointer displayed in the content by using the position change information received in the process of performing the content.

Hereinafter, after the initial location setting and optimal content selection are completed, a method of internally driving the content according to the user's content execution will be described.

8 is a flowchart for explaining a content control method of the breathing training system according to some embodiments of the present invention.

8, the control device 100 of the breathing training system according to some embodiments of the present invention displays the content on the display device 300 (S210). As described above, the content displayed on the display device 300 may be the optimal content selected by the control device 100 using the basic respiration data measured through the respiration measurement device (200).

Then, as the user performs the content using the respiration measuring device 200, the control device 100 receives the user's respiration information and location change information from the respiration measuring device 200 (S220).

Here, the respiration information may include whether exhalation or inhalation, respiration time and respiration pressure, and the like, and the position change information may include position coordinates, inclination and angular velocity. Respiratory measurement device 300 may transmit the measured respiration information and location change information to the control device 100 connected to the wired or wireless.

Next, the control device 100 changes the location of the pointer included in the content based on the location change information (S230).

For example, when the control device 100 receives the position change information including the information moved to the left with respect to the respiration measurement device 200, the control device 100 calculates the coordinates corresponding to the movement complete position. can Then, the control device 100 may change the location of the existing pointer displayed in the content to the location of the calculated coordinates and display it on the display device 300 .

Then, the control device 100 determines the exhalation or inspiration for the user's respiration based on the respiration information (S240).

Specifically, the control device 100 may determine exhalation or inspiration by using the user's respiration pressure included in the respiration information. When the respiration pressure of the respiration information is positive pressure, the control device 100 may determine the user's respiration as exhalation. In addition, when the respiration pressure is negative pressure, the control device 100 may determine the user's respiration as inhalation.

Next, when the user's respiration information is exhalation, the control device 100 performs a first input to the pointer (S250a). For example, the first input may correspond to a left-click input with respect to the pointer. By the first input, the control device 100 may perform an input of selecting a character or item indicated by the pointer in the breathing training content. However, this is only an example of the present invention, and the present invention is not limited thereto.

Conversely, when the user's respiration information is inspiration, the control device 100 performs a second input to the pointer (S250b). For example, the second input may correspond to a right-click input with respect to the pointer. In response to the second input, the control device 100 may perform a predetermined operation on the selected character or item. Here, the predetermined operation may include various operations such as moving forward and jumping of a character or item.

However, this is only an example, and it goes without saying that the first input and the second input may be variously modified and implemented according to a user's setting or the type of content.

9 is a view for explaining an example of the content control method of the breathing training system according to some embodiments of the present invention. Here, <b1> of FIG. 9 is a diagram illustrating a content connection screen, <b2> is a diagram illustrating a screen for selecting a character in the content, and <b3> is a diagram of manipulating a character in the content.

Referring to FIG. 9 , when the user executes the content, the breathing training system may display the user-customized content on the display device 300 . In this case, the content may be displayed on the display apparatus 300 including a pointer PT that moves within the screen, a character CR that can be manipulated when performing the content, and a mission performance chart MN.

Then, the control device 100 based on the position change information received from the respiration measurement device 300, the control device 100 may change the position of the pointer (PT). For example, the respiration measurement device 200 may measure a change in position to move the position of the pointer PT in the content to the position of the character CR and transmit it to the control device 100 . Subsequently, the control device 100 may move the pointer PT displayed in the content toward the character CR based on the received position change information.

Then, based on the respiration information received from the respiration measurement device 300, the control device 100 may perform a selection input for the character (CR).

Specifically, the control device 100 may determine whether the user's respiration is exhalation or inspiration based on the received respiration information. In this case, the control device 100 may perform a first input by recognizing the user's respiration as an exhalation when the respiratory pressure is positive pressure, and may perform a second input according to inspiration when negative pressure.

For example, when the respiratory pressure is positive pressure, the control device 100 may select the character CR by performing a selection input, which is the first input, with respect to the character CR where the pointer PT is located.

When the character CR is selected, the control device 100 may display the selection mark SM above the character CR.

Subsequently, when the position change information is transmitted from the respiration measurement device 200, the control device 100 may control the direction or inclination of the character CR marked with the selection mark SM.

For example, when receiving the position change information moving to the left from the respiration measurement device 200, the control device 100 can switch the direction or position of the character CR marked with the selection mark SM to the left have.

Subsequently, when receiving respiration information including sound pressure from the respiration measurement device 200, the control device 100 may perform a second input corresponding to the inhalation for the character CR marked with the selection mark SM. have.

For example, by the second input, the character CR on which the selection mark SM is displayed may perform a movement operation that is a preset operation within the content.

As another example, when the second input is continuously input after the character CR is selected, the character CR marked with the selection mark SM may perform a jump operation, which is another preset operation.

However, this is only an example of an embodiment of the present invention, and the present invention is not limited to this exemplary operation.

In summary, the respiratory training system according to the present invention, based on the breathing and position change of the user wearing the respiration measuring device 200, by manipulating the movement of characters or items provided in the breathing training content, the user's content It is possible to increase interest and concentration, and to improve the effectiveness of breathing training.

Hereinafter, a method of selecting the user's optimal breathing training contents based on the respiration information and position change information measured according to the contents performance will be described.

10 is a flowchart for explaining a method for selecting the optimal breathing training content in the breathing training system according to an embodiment of the present invention.

Referring to Figure 10, the control device 100 of the breathing training system provides the breathing training content to the display device 300 (S310). The content displayed on the display device 300 may be content selected by the control device 100 using the basic respiration data measured through the respiration measurement device (200).

Then, the control device 100 receives the user's respiration information for the breathing training content from the respiration measurement device 200 (S320). Here, the respiration information may include whether exhalation or inhalation, respiration time or respiration pressure.

Then, the control device 100 analyzes the user's breathing accuracy, breathing duration, and breathing response pattern (S330).

Specifically, the control device 100 may analyze the breathing accuracy by determining how accurately the user performed breathing in the respiration measurement device 200 with respect to the user's exhalation or inhalation within the content. In addition, the control device 100 may analyze the duration of each user's exhalation or inspiration in seconds, and analyze a respiratory response pattern including a time for switching to expiration or inspiration.

Next, the control device 100 derives an average value for the user's respiration time and respiration pressure based on the analysis result (S340). For example, the control device 100 may derive an average value for the respiration time by dividing the user's total respiration time by the number of respirations. In addition, the control device 100 may calculate the total sum of positive pressure as the number of exhalations. Divide and divide the sum of negative pressures by the number of inspirations to derive the average value for the respiratory pressure. However, the present invention is not limited thereto, and may be implemented with various modifications.

Then, based on the derived average value, the control device 100 calculates a target value and an increase/decrease unit for the user's respiration time and respiration pressure (S350).

For example, based on the user's personal information including the user's country, gender, and age, the control device 100 may extract an individual average value of users similar to the user (hereinafter referred to as a comparison target). Next, the control device 100 may compare the average value of the comparison target with the average value of the user to calculate the target value of the user and the increase/decrease unit. However, the method for calculating the target value and the increase/decrease unit may be variously modified and implemented according to the invention.

Next, the control device 100 selects the optimal breathing training content based on the calculated target value and the increase/decrease unit (S360). The selected breathing training content may be automatically displayed on the display device 300 or provided in the form of a list selectable by the user to the user terminal (not shown).

Hereinafter, another embodiment of the present invention for selecting the optimal breathing training content using the improvement possible range will be described.

11 is a flowchart for explaining a method of selecting the optimal breathing training content in the breathing training system according to another embodiment of the present invention. Hereinafter, content overlapping with FIG. 10 will be omitted, and differences will be mainly described.

Referring to FIG. 11 , the control device 100 provides the breathing training content to the display device 300 ( S410 ).

Then, based on the respiration information measured by the respiration measurement device 200 in the content performance process, the control device 100 analyzes respiration accuracy, respiration duration and respiration response pattern (S420). As described above, the control device 100 may analyze how accurately the user performed respiration, the duration of the user's respiration, the respiration conversion time, and the like.

Then, the control device 100 calculates an improvement possible range for the increase/decrease in lung capacity, respiration duration, or respiration pressure (S430).

In this case, the control device 100 may calculate the improvement possible range based on the minimum value and the maximum value for each item. Specifically, the control device 100 may extract the average value of the user's lung capacity, the lowest vital capacity, and the highest vital capacity based on the received respiration information. Then, the control device 100 may derive a difference value between the minimum vital capacity and the highest vital capacity, and calculate an improvement possible range for the user's lung capacity by comparing the value with the average value of the lung capacity.

Then, the control device 100 may repeat the above process for the respiration duration and respiration pressure. However, the method of calculating the improvement possible range for each parameter of the user may be variously modified and implemented.

Next, the control device 100 calculates an expected improvement rate according to the training level based on the derived improvement possible range ( S440 ).

Here, the training level of the user may be calculated based on the breathing accuracy, breathing duration and breathing response pattern included in the breathing information. Also, the control device 100 may calculate an expected improvement rate using the user's personal information and training level.

Next, the control device 100 selects the type or level of the breathing training content based on the calculated expected improvement rate (S450). The control device 100 may calculate the expected improvement rate for each type or level of content to be performed by the user by substituting the user's training level and expected improvement rate into the type or level of breathing training content.

Then, the control device 100 may select the type or level of the content for which the highest expected improvement rate is calculated and provide it to the display device 300 .

Through this, the respiratory training system analyzes the user's respiration information measured through the respiration measurement device, calculates a target value for each user, an increase/decrease unit or a possible improvement range, and selects and provides customized breathing training contents to the user based on this. , it is possible to improve the breathing training effect of the user.

Hereinafter, a method of deriving optimal breathing training contents using a deep learning module according to another embodiment of the present invention will be described in detail.

12 is a block diagram for explaining a method for selecting optimal breathing training contents using a deep learning module in a breathing training system according to another embodiment of the present invention.

Specifically, referring to FIG. 12 , the above-described content providing unit 120 of the control device 100 may include a deep learning module (DM).

The deep learning module (DM) may receive the user's personal information, respiration information, and content information, and output an expected improvement rate as an output thereof. In this case, the deep learning module (DM) may derive an expected improvement rate for each user's breathing ability by using an artificial neural network learned based on big data.

Specifically, the deep learning module (DM) may perform artificial neural network learning using mapping data for a separate parameter derived based on input data. The deep learning module DM may perform machine learning on parameters input as learning factors. In this case, data used for machine learning and result data may be stored in the memory of the control device 100 .

To be more specific, Deep Learning, a type of machine learning, learns by going down to a deep level in multiple stages based on data.

Deep learning refers to a set of machine learning algorithms that extract core data from a plurality of data while increasing the level.

The deep learning module (DM) may use various well-known deep learning structures. For example, the deep learning module (DM) may use a structure such as a Convolutional Neural Network (CNN), a Recurrent Neural Network (RNN), a Deep Belief Network (DBN), or a Graph Neural Network (GNN).

Specifically, CNN (Convolutional Neural Network) is a human brain function created based on the assumption that when a person recognizes an object, it extracts the basic features of the object, then performs complex calculations in the brain and recognizes the object based on the result. It is a simulated model.

RNN (Recurrent Neural Network) is widely used for natural language processing, etc., and is an effective structure for processing time-series data that changes with time.

DBN (Deep Belief Network) is a deep learning structure composed of multi-layered Restricted Boltzman Machine (RBM), a deep learning technique. When a certain number of layers is obtained by repeating Restricted Boltzman Machine (RBM) learning, a Deep Belief Network (DBN) having the corresponding number of layers may be configured.

GNN (Graphic Neural Network, hereinafter, GNN) represents an artificial neural network structure implemented in such a way that similarities and feature points between modeling data are derived using modeling data modeled based on data mapped between specific parameters. .

On the other hand, artificial neural network learning of the deep learning module (DM) can be made by adjusting the weight of the connection line between nodes (and adjusting the bias value if necessary) so that a desired output is obtained for a given input. In addition, the artificial neural network may continuously update a weight value by learning. In addition, a method such as back propagation may be used for learning the artificial neural network.

On the other hand, the database unit 130 of the control device 100 may be loaded with an artificial neural network (Artificial Neural Network) pre-trained by machine learning.

The deep learning module (DM) may perform a machine learning-based improvement process recommendation operation using modeling data for the derived parameters as input data. In this case, both semi-supervised learning and supervised learning may be used as the machine learning method of the artificial neural network. In addition, the deep learning module (DM) may be controlled to automatically update the artificial neural network structure for outputting voice similarity for each section after learning according to settings.

Additionally, although not clearly shown in the drawings, in another embodiment of the present invention, the operation of the deep learning module (DM) may be performed in the control device 100 or a separate cloud device or server (not shown). Hereinafter, the configuration of the deep learning module (DM) according to the embodiment of the present invention will be described.

13 is a diagram illustrating the configuration of the deep learning module of FIG. 12 .

Referring to Figure 13, the deep learning module (DM) is an input layer (input) using the user's personal information, breathing information, and information about the breathing training content (hereinafter, content information) as an input node, and the improvement rate (or expected improvement rate) as an output node, and M hidden layers disposed between the input layer and the output layer.

Here, a weight may be set on an edge connecting the nodes of each layer. The presence or absence of such weights or edges may be added, removed, or updated during the learning process. Accordingly, through the learning process, weights of nodes and edges disposed between k input nodes and i output nodes may be updated.

Before the deep learning module (DM) performs learning, all nodes and edges can be set to initial values. However, when cumulative information is input, the weights of nodes and edges are changed, and in this process, parameters input as learning factors (ie, user personal information, respiration information, and content information) and values assigned to output nodes (ie, improvement rate) can be matched.

Additionally, when using a cloud device or server (not shown), the deep learning module (DM) may receive and process a large number of parameters. Therefore, the deep learning module (DM) can perform learning based on massive data.

The weights of nodes and edges between the input and output nodes constituting the deep learning module (DM) may be updated by the learning process of the deep learning module (DM). In addition, it goes without saying that the parameters output from the deep learning module (DM) can be further expanded with various data in addition to the expected improvement rate.

The control device 100 applies input data (ie, personal information, breathing information, content information) for a plurality of users to the input node, and applies the output data (ie, improvement rate) to the output node, so that the deep learning module ( DM) can be learned.

Next, the control device 100 uses the pre-learned deep learning module (DM) to derive the expected improvement rate for each content of the user, and based on this, the optimal breathing training content that can most improve the user's breathing ability can be derived

Through this, the present invention can increase the hit rate for selecting the optimal breathing training content for each user, and reduce the time and resources required for the selection of the optimal breathing training content.

It is to be understood that the above-described embodiments are illustrative in all respects and not restrictive, and the scope of the present invention will be indicated by the appended claims rather than the foregoing detailed description. And it should be construed to be included in the scope of the present invention, as well as the meaning and scope of the claims to be described later, as well as all changes and modifications derived from the equivalent concept.

100: control device
200: respiration measurement device
300: display device

Claims (10)

In a breathing training system that provides breathing training contents to a user,
a display device for displaying the breathing training contents;
Respiratory measurement device for measuring respiration information about the internal pressure of the flow path part to which the user's respiration is applied, and position change information for the position change of the flow path part; and
Receiving the measurement data, including a control device for controlling the operation of the breathing training content based on the measurement data,
The control device is
Based on the position change information, change the position of the pointer included in the breathing training content,
Based on the respiration information, comprising performing an input to the pointer
breathing training system.
According to claim 1,
The control device is
Based on the respiration information, determining the user's exhalation or inspiration,
When it is determined that the respiration information is exhalation, a first input is performed with respect to the pointer,
When it is determined that the respiration information is inspiration, performing a second input different from the first input with respect to the pointer
breathing training system.
3. The method of claim 2,
The first input corresponds to a left-click input with respect to the pointer,
The second input corresponds to a right-click input with respect to the pointer.
breathing training system.
3. The method of claim 2,
The first input corresponds to a selection input for a character or item indicated by the pointer in the breathing training content,
The second input corresponds to an input for performing a predetermined operation with respect to the selected character or item.
breathing training system.
According to claim 1,
The control device is
Based on the respiration information, analyzing the user's respiration accuracy, respiration duration, or respiration response pattern,
Based on the result of the analysis, an average value for the user's respiration time or respiration pressure is derived,
Based on the derived average value, calculating a target value or an increase/decrease unit for the user's respiration time or respiration pressure,
Based on the target value and the increase/decrease unit, the optimal breathing training content is selected.
breathing training system.
According to claim 1,
The control device is
Analyze the user's breathing accuracy, breathing duration, or breathing response pattern while performing the breathing training contents,
Based on the results of the analysis, calculate the improvement possible range for the increase or decrease in lung capacity, increase or decrease in breathing duration, or increase or decrease in respiratory pressure,
Based on the calculated improvement possible range, the optimal breathing training content is selected.
breathing training system.
7. The method of claim 6,
Selecting the optimal breathing training content is,
Calculating an expected improvement rate according to the user's training level based on the improvement possible range,
Based on the expected improvement rate, comprising selecting the type or level of the breathing training content
breathing training system.
According to claim 1,
The control device is
Calculating the expected improvement rate of the breathing training contents using a pre-learned deep learning module, and selecting the optimal breathing training contents using the calculated expected improvement rate,
The deep learning module,
an input layer using the user's personal information, the respiration information, and content information as input nodes;
an output layer using the improvement rate as an output node;
one or more hidden layers disposed between the input layer and the output layer;
The weights of nodes and edges between the input node and the output node are updated by the learning process of the deep learning module.
breathing training system.
According to claim 1,
The respiration measurement device,
A pressure sensor unit for measuring the respiration information by measuring the positive or negative pressure of the flow passage;
a position change sensor unit for detecting the position change of the flow path and measuring the position change information;
Comprising a communication unit for transmitting the measured respiration information and the position change information to the control device
breathing training system.
a housing having a through hole formed therein;
a flow passage formed on one side of the housing;
an opening formed on one side of the flow passage and fastened to the user's oral cavity;
a discharge part formed on the other side of the flow path part and having a smaller diameter than the opening part;
a sensor module including a pressure sensor unit for measuring positive or negative pressure in the flow path, and a position change sensor unit for sensing a change in the position of the housing;
a connection part for connecting the through hole formed on the side of the flow passage and the sensor module; and
Respiratory information measured by the pressure sensor unit and the position change information measured by the position change sensor comprising a communication unit for transmitting to a control device
breathing device.

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