Beta brain wave induction method, device, system and storage medium

Abstract

The present invention discloses a beta brain wave induction method, device, system and storage medium, wherein the method comprises constructing a graph database based on materials and related brain wave data; collecting user brain waves and identifying the state of the collected user brain waves; searching the graph database according to the brain wave state to obtain a scene control signal; and playing the scene material according to the obtained scene control signal. The device comprises a brain wave state recognition module, a communication module, a scene control module and a graph database; the system further comprises a brain wave acquisition device based on the beta brain wave induction device; the present invention uses scene materials such as secret realms, fairyland, and polar scenery, and constructs a graph database in combination with brain wave data, and realizes the entire process of beta brain wave induction in combination with brain wave states and the constructed graph database. The present invention, based on the constructed graph database, can enable users to reach the beta brain wave state faster. The present invention provides a method for inducing a specific brain wave state using specific materials in combination with a graph structure, without the need for expert knowledge and saving costs.

Description

Technical Field

[0001] The present invention relates to the field of bioengineering technology, and in particular to a beta brain wave induction method, device, system and storage medium. Background Art

[0002] Brainwaves refer to the electrical oscillations produced by the activity of nerve cells in the human brain. Because this oscillation appears like a wave on scientific instruments, it is called a brainwave. To explain brainwaves in one sentence, perhaps it can be said that it is the biological energy generated by brain cells, or the rhythm of brain cell activity. Every second, no matter what a human is doing, even when sleeping, the brain will produce "brainwaves" like "electric pulses" from time to time. Brainwaves can be divided into five categories according to frequency: beta waves (conscious 14-30HZ), alpha waves (bridge consciousness 8-14HZ), theta waves (subconscious 4-8Hz), delta waves (unconscious below 4Hz) and gamma waves (focusing on something above 30HZ). The combination of these consciousnesses forms a person's internal and external behavior, emotions and learning performance. Beta brainwaves are a conscious brainwave that runs at a frequency of 13 to 25 cycles per second. When people are awake, focused, alert, or thinking, analyzing, speaking and taking positive actions, the mind will emit this kind of brainwave.

[0003] Brainwave entrainment, also known as brain loading, is the process of intervening in people's emotions by changing brainwaves from one mode to another through external stimulation. Common brainwave inductions include binaural beat frequency, monophonic beat tone, isochronous tone, and spectral induction. The first three are also called acoustic induction and are the most commonly used. With the gradual maturity of brainwave acquisition equipment, research on brainwave induction has become more extensive.

[0004] At present, most of the methods for implementing brainwave induction are to study the relationship between changes in stimulation signals and changes in brainwave states through expert laboratories, thereby determining the induction method. However, the current brainwave induction methods mainly rely on expert knowledge for selection, which is costly. Summary of the invention

[0005] The present invention aims to solve one of the technical problems in the related art at least to a certain extent. To this end, one object of the present invention is to provide a beta brain wave induction method, which is a method for inducing a specific brain wave state using specific materials in combination with a graph structure.

[0006] To achieve the above object, the present invention adopts the following technical solutions:

[0007] A beta brain wave induction method comprises the following steps:

[0008] Build a graph database based on the material and related brain wave data;

[0009] Collecting user brain waves and identifying the state of the collected user brain waves;

[0010] Retrieve the graph database according to the brain wave state to obtain the scene control signal;

[0011] Play the scene material according to the acquired scene control signal.

[0012] Furthermore, the construction of a graph database based on the material and related brain wave data includes:

[0013] S11. Collecting data: Select scene materials that express a quiet mood to stimulate the user, and number the scene materials 1, 2, ..., N; play the scene materials on the screen for the user to watch, and the user wears a brain wave acquisition device; record the sequence and serial number of each scene playback; record the brain wave state before and after playing the scene material; each user will record multiple groups of data, each group corresponds to a different scene playback sequence, and each material scene lasts 2-3 seconds;

[0014] S12, constructing a directed graph: after the data collection is completed, the data is screened, and only the data of the brain wave state of β wave and related sub-states after the scene material is played are selected, and the β wave is the conscious mind with a frequency of 14-30HZ; the screened data is composed; the brain wave state and the sequence of scene changes are regarded as a path, and the paths corresponding to multiple data are merged to form a directed graph;

[0015] Furthermore, the data recorded in step S11 is in the form of A1->1->3->4->12->…->B1, wherein A1 represents the brain wave state before the scene material starts playing, B1 represents the brain wave state after the scene material starts playing, and the numbers 1, 3, 4, 12 represent the scene material numbers played in sequence.

[0016] Furthermore, collecting the user's brain waves and identifying the state of the collected user's brain waves includes:

[0017] The user's brain waves are acquired through a brain wave acquisition device worn by the user, and the brain wave state recognition algorithm is used to identify the state;

[0018] Among them, the implementation method of the brain wave state recognition algorithm is as follows:

[0019] The brain waves are analyzed by spectrum, and the states are divided according to the proportion of various frequencies. Specifically, the brain waves focus on five types of frequencies: beta waves are conscious, with a frequency of 14-30HZ, alpha waves are bridge consciousness, with a frequency of 8-14HZ, theta waves are subconscious, with a frequency of 4-8Hz, delta waves are unconscious, with a frequency below 4Hz, and gamma waves are the state of focusing on something above 30HZ.

[0020] When a brain wave of one frequency in the brain wave data is the main component, that is, when it has the largest proportion, it is considered that the brain wave is in the state of the corresponding frequency; the five major frequency categories are further divided, that is, according to the proportion of the main component brain wave, the threshold is set and the new state is divided.

[0021] Further, according to the brain wave state, the graph database is searched to obtain the scene control signal; including:

[0022] According to the identified brain wave state, communicate with the graph database to retrieve the shortest path starting from the brain wave state and ending at the β brain wave state, and find the minimum number of edges.

[0023] Furthermore, according to the acquired scene control signal, playing the scene material specifically includes selecting a scene from the material library for playing according to the material number and sequence according to the acquired scene control signal.

[0024] In another aspect, the present invention further discloses a beta brain wave induction device for implementing the above beta brain wave induction method, comprising a brain wave state recognition module, a communication module, a scene control module and a graph database;

[0025] The brainwave state recognition module is used to recognize the state of the user's brainwaves;

[0026] The communication module is used to search and query the graph database according to the user's brain wave state to obtain the scene control signal;

[0027] The scene control module is used to play the corresponding scene material according to the scene control signal;

[0028] The graph database is used to store in the form of a graph the scene change process that can cause the brain wave to reach β waves, where β waves are conscious and have a frequency of 14-30 Hz.

[0029] In another aspect, the present invention further discloses a beta brain wave induction system, based on the above-mentioned beta brain wave induction device, further comprising a brain wave acquisition device;

[0030] The brain wave acquisition device is connected to the brain wave state recognition module in the beta brain wave induction device, and is used to collect brain wave data and input the brain wave data into the brain wave state recognition module;

[0031] The scene control module in the beta brainwave induction device is connected to the communication module, and is used to search and query the graph database according to the user's brainwave state, obtain the scene control signal, and play the corresponding scene material according to the scene control signal.

[0032] Finally, the present invention further discloses a computer-readable storage medium storing a computer program, wherein when the computer program is executed by a processor, the processor executes the steps of the beta brain wave induction method as described above.

[0033] It can be seen from the above technical solutions that the beta brain wave induction method, device and system of the present invention have the following beneficial effects:

[0034] The present invention uses scene materials such as secret places, fairylands, and polar scenery, and combines brain wave data to construct a graph database, and at the same time combines brain wave states and the constructed graph database to realize the entire process of beta brain wave induction. Based on the constructed graph database, the present invention can enable users to reach the beta brain wave state faster. The present invention provides a method for inducing a specific brain wave state using specific materials in combination with a graph structure, without the need for expert knowledge and saving costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 is a flow chart of the method of the present invention;

[0036] Figure 2 This is a schematic diagram of a directed graph constructed in an embodiment of the present invention. Figure 1 ;

[0037] Figure 3 This is a schematic diagram of a directed graph constructed in an embodiment of the present invention. Figure 2 ;

[0038] Figure 4 is a structural principle diagram of a device according to an embodiment of the present invention;

[0039] Figure 5 It is a system block diagram of an embodiment of the present invention. DETAILED DESCRIPTION

[0040] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments.

[0041] like Figure 1 As shown, the beta brain wave induction method described in this embodiment includes the following steps:

[0042] Build a graph database based on the material and related brain wave data;

[0043] Collecting user brain waves and identifying the state of the collected user brain waves;

[0044] Retrieve the graph database according to the brain wave state to obtain the scene control signal;

[0045] Play the scene material according to the acquired scene control signal.

[0046] The following are respectively explained:

[0047] S1. Build a graph database based on the material and related brain wave data;

[0048] This step is a pre-step and can be separated from the subsequent steps. Generally, the graph database is built according to fixed rules before it can be used as an external database for subsequent steps.

[0049] The construction method is as follows:

[0050] (1) Data collection: In order to induce β brain waves, scene materials expressing quiet moods such as secret places, fairylands, and polar scenery are selected to stimulate users (acquisition methods include: expert special design or selection based on expert knowledge) and the scene materials are numbered 1, 2, ..., N. The scene materials are played on the screen for users to watch, and the users wear brain wave collection equipment. The order and serial number of each scene are recorded. The brain wave state is recorded before and after the scene material is played. Each user will record multiple sets of data, each set corresponds to a different scene playback order, and each material scene lasts 2-3 seconds. The recorded data format is A1->1->3->4->12->...->B1, where A1 represents the brain wave state before the scene material starts playing, B1 represents the brain wave state after the scene material is played, and the numbers 1, 3, 12, etc. represent the numbers of the scene materials played in sequence.

[0051] It should be noted that the scene materials related to the secret realm, fairyland, and polar scenery in the embodiments of the present invention generally need to be specifically selected by relevant experts, and can also be generated through deep learning methods.

[0052] (2) Construct a directed graph. After collecting data, filter the data and select only the data whose brain wave state is β wave and related sub-states (refer to the definition of brain wave state in S2 for details) after the scene material is played. Graph the filtered data. Treat the brain wave state and the sequence of scene changes as a path, and merge the paths corresponding to multiple data to form a directed graph.

[0053] For example, the process is as follows:

[0054] For the data:

[0055] (A1->1->4->6->25->B1), (A2->2->4->6->22->B2), (A2->2->3->25->B2);

[0056] Can be constructed as Figure 2 The figure shown:

[0057] Figure 2 Both the diamond and the circle are nodes in the directed graph structure, but they have different meanings. The diamond node represents the user's brainwave state, and is generally the starting point or end point of the edge in the graph. The circular node represents the scene material number. A directed edge connects two nodes in the order of front and back.

[0058] The edge weights of the constructed directed graph are the same because the default scene materials have the same effect on beta brainwave induction.

[0059] S2. Identify the state of the collected user's brain waves

[0060] The user's brain waves are acquired through a brain wave acquisition device worn by the user. Usually, brain wave data of L seconds in length are selected according to the situation, and a brain wave state recognition algorithm is used to identify the state.

[0061] For simplicity, the implementation method of the brainwave state recognition algorithm is as follows: perform spectrum analysis on brainwaves and divide the states according to the proportion of various frequencies. Brainwaves generally focus on five major frequency categories: beta waves (conscious 14-30HZ), alpha waves (bridge consciousness 8-14HZ), theta waves (subconscious 4-8Hz), delta waves (unconscious below 4Hz) and gamma waves (focusing on something above 30HZ). When a brainwave of a certain frequency in the brainwave data is the main component, that is, when the proportion is the largest, it is considered that the brainwave is in the state of the corresponding frequency. Therefore, if the beta wave and related sub-states account for 60% and are the largest, then the current brainwave is considered to be in the beta wave state. Here, the five major frequency categories are further divided. That is, according to the proportion of the main component brainwave, the threshold is set and the new state is segmented. For example, when the beta wave is the main component, if the beta wave accounts for 30~50%, then its state can be considered to be A1, if the beta wave accounts for 51~60%, then its state is considered to be A2, and so on.

[0062] Other implementation methods can also use machine learning and deep learning training to obtain brain wave state recognition models.

[0063] S3. The communication module searches the graph database according to the brain wave state to obtain the scene control signal.

[0064] The communication module communicates with the graph database based on the identified brain wave state, and retrieves the shortest path starting from the brain wave state and ending at the β brain wave state. Since the edge weights in the constructed directed graph are the same, only the minimum number of edges needs to be found. Figure 3 :

[0065] If the initial brainwave is A2, then selecting scenes 2->3->25 and playing them in order may allow you to reach the B1 state the fastest.

[0066] S4, scene control module plays scene materials

[0067] The scene control module selects a scene from the material library for playback according to the material number and sequence based on the scene control signal obtained in S3.

[0068] like Figure 4 As shown, the embodiment of the present invention also discloses a beta brain wave induction device for implementing the above-mentioned beta brain wave induction method, comprising a brain wave state recognition module, a communication module, a scene control module and a graph database; the brain wave state recognition module, the scene control module and the graph database are respectively connected to the communication module for communication;

[0069] The brainwave state recognition module is used to recognize the state of the user's brainwaves;

[0070] The communication module is used to search and query the graph database according to the user's brain wave state to obtain the scene control signal;

[0071] The scene control module is used to play the corresponding scene material according to the scene control signal;

[0072] The graph database is used to store in the form of a graph the scene change process that can cause the brain wave to reach β waves, where β waves are conscious and have a frequency of 14-30 Hz.

[0073] It should be noted that the brain wave state recognition module can also be implemented through deep learning and machine learning methods.

[0074] Among them, the recognition process of the brain wave state recognition module refers to the state process of identifying the collected user brain waves in step S2; the working process of the communication module refers to the above S3, the process of the communication module retrieving the graph database according to the brain wave state and obtaining the scene control signal; the working process of the scene control module refers to the above S4, the process of the scene control module playing the scene material. Similarly, the construction step of the graph database refers to the above S1, the construction process of the graph database based on the material and related brain wave data. Then a β brain wave induction device of this embodiment is used to implement the above β brain wave induction method.

[0075] like Figure 5As shown, in specific applications, this embodiment also discloses a β brain wave induction system, based on the above-mentioned β brain wave induction device, and also includes a brain wave acquisition device;

[0076] The brain wave acquisition device is connected to the brain wave state recognition module in the beta brain wave induction device, and is used to collect brain wave data and input the brain wave data into the brain wave state recognition module;

[0077] The scene control module in the beta brainwave induction device is connected to the communication module, and is used to search and query the graph database according to the user's brainwave state, obtain the scene control signal, and play the corresponding scene material according to the scene control signal.

[0078] The user's brain waves are acquired through a brain wave acquisition device worn by the user. Usually, brain wave data of a length of L seconds are selected according to the situation, and a brain wave state recognition algorithm is used to identify the state.

[0079] As can be seen from the above, the present invention uses scene materials such as secret places, fairyland, and polar scenery, combines brain wave data to construct a graph database, and combines brain wave states and the constructed graph database to realize the entire process of beta brain wave induction. Based on the constructed graph database, the present invention can enable users to reach the beta brain wave state faster. The present invention provides a method for inducing a specific brain wave state using specific materials in combination with a graph structure, without the need for expert knowledge and saving costs.

[0080] On the other hand, the present invention further discloses a computer-readable storage medium storing a computer program, wherein when the computer program is executed by a processor, the processor executes the steps of any of the above methods.

[0081] On the other hand, the present invention further discloses a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of any of the above methods.

[0082] In another embodiment provided by the present application, a computer program product including instructions is also provided, which, when executed on a computer, enables the computer to execute the steps of any method in the above embodiments.

[0083] It is understandable that the system provided by the embodiment of the present invention corresponds to the method provided by the embodiment of the present invention, and the explanation, examples and beneficial effects of the relevant contents can refer to the corresponding parts in the above method.

[0084] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the program can be stored in a non-volatile computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0085] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0086] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A beta brain wave induction method, characterized in that: The following steps are included: Build a graph database based on the material and related brain wave data, The method of constructing a graph database based on the material and related brain wave data includes: S11. Collecting data: Select scene materials that express a quiet mood to stimulate the user, and number the scene materials 1, 2, ..., N; play the scene materials on the screen for the user to watch, and the user wears a brain wave acquisition device; record the sequence and serial number of each scene playback; record the brain wave state before and after playing the scene material; each user will record multiple groups of data, each group corresponds to a different scene playback sequence, and each material scene lasts 2-3 seconds; S12, constructing a directed graph: after the data collection is completed, the data is screened, and only the data of the brain wave state of β wave and related sub-states after the scene material is played are selected, and the β wave is the conscious mind with a frequency of 14-30HZ; the screened data is composed; the brain wave state and the sequence of scene changes are regarded as a path, and the paths corresponding to multiple data are merged to form a directed graph; Collecting user brain waves and identifying the state of the collected user brain waves; Retrieving a graph database according to the brain wave state to obtain a scene control signal includes: communicating with the graph database according to the identified brain wave state, retrieving the shortest path starting from the brain wave state and ending at the β brain wave state, and finding the minimum number of edges; Play the scene material according to the acquired scene control signal.

2. The beta brain wave induction method according to claim 1, characterized in that: The data recorded in step S11 is in the form of A1->1->3->4->12->…->B1, where A1 represents the brain wave state before the scene material starts playing, B1 represents the brain wave state after the scene material starts playing, and the numbers 1, 3, 4, 12 represent the scene material numbers played in sequence.

3. The beta brain wave induction method according to claim 1, characterized in that: The collecting of user brain waves and identifying the state of the collected user brain waves include: The user's brain waves are acquired through a brain wave acquisition device worn by the user, and the brain wave state recognition algorithm is used to identify the state; Among them, the implementation method of the brain wave state recognition algorithm is as follows: The brain waves are analyzed by spectrum, and the states are divided according to the proportion of various frequencies. Specifically, the brain waves focus on five types of frequencies: beta waves are conscious, with a frequency of 14-30HZ, alpha waves are bridge consciousness, with a frequency of 8-14HZ, theta waves are subconscious, with a frequency of 4-8Hz, delta waves are unconscious, with a frequency below 4Hz, and gamma waves are the state of focusing on something above 30HZ. When a brain wave of one frequency in the brain wave data is the main component, that is, when it has the largest proportion, it is considered that the brain wave is in the state of the corresponding frequency; the five major frequency categories are further divided, that is, according to the proportion of the main component brain wave, the threshold is set and the new state is divided.

4. The beta brain wave induction method according to claim 1, characterized in that: Playing the scene material according to the acquired scene control signal specifically includes selecting a scene from a material library for playing according to the material number and sequence according to the acquired scene control signal.

5. A beta brain wave induction device, used to implement the beta brain wave induction method according to any one of claims 1 to 4, characterized in that: It includes brain wave state recognition module, communication module, scene control module and graph database; The brainwave state recognition module is used to recognize the state of the user's brainwaves; The communication module is used to search and query the graph database according to the user's brain wave state to obtain the scene control signal; The scene control module is used to play the corresponding scene material according to the scene control signal; The graph database is used to store in the form of a graph the scene change process that can cause the brain wave to reach β waves, where β waves are conscious and have a frequency of 14-30 Hz.

6. A beta brain wave induction system, characterized in that: A beta brainwave induction device according to claim 5, further comprising a brainwave acquisition device; The brain wave acquisition device is connected to the brain wave state recognition module in the beta brain wave induction device, and is used to collect brain wave data and input the brain wave data into the brain wave state recognition module; The scene control module in the beta brainwave induction device is connected to the communication module, and is used to search and query the graph database according to the user's brainwave state, obtain the scene control signal, and play the corresponding scene material according to the scene control signal.

7. A computer-readable storage medium storing a computer program, wherein when the computer program is executed by a processor, the processor executes the steps of the beta brain wave induction method according to any one of claims 1 to 4.

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