An intelligent guidance method and system that combines music and cognitive adjustment

Abstract

This invention provides an intelligent guidance method and system combining music and cognitive adjustment. The system includes: a course library module for storing music-cognitive adjustment course data; an information collection and identification module for acquiring basic user information and test results to determine the user's target demographic category; a music-cognitive guidance scheme generation module for invoking corresponding music-cognitive adjustment courses based on the user's target demographic category, generating a music-cognitive guidance scheme based on course usage data, and generating corresponding 3D digital music in response to user feedback; a data tracking module for acquiring user usage records; and a message reminder module for responding when a music-cognitive guidance scheme exists, generating usage reminder information based on course usage data and user usage records, or responding at set intervals to generate re-evaluation reminder information. This invention features high reliability, convenient and standardized use, and the ability to meet personalized requirements.

Description

Technical Field

[0001] This invention belongs to the field of music application technology, and more specifically, relates to an intelligent guidance method and system that combines music with cognitive adjustment. Background Technology

[0002] Whether for general mental health prevention and treatment interventions or the management of physiological and psychological illnesses, music therapy and cognitive behavioral interventions, as emerging preventative and clinical intervention methods, are gaining increasing recognition for their importance. The music meditation intervention methods developed through music therapy and cognitive behavioral interventions involve cognitive behavioral science, musicology, psychology, and medicine. As a multidisciplinary field, it requires tailored approaches for different groups and is gradually becoming an adjunct therapy in public mental health prevention and clinical treatment. With expanding market demand, more and more people are willing to use music and cognitive therapy. Therefore, exploring an efficient and scientific therapy model, or even a customized experience, for different populations has become an urgent priority. With the development of internet and computer technology, combining software with music cognition has emerged as a new approach.

[0003] However, existing music and cognitive guidance products still face three major technological bottlenecks.

[0004] (1) The difficulty lies in the lack of a systematic intervention process. The existing product content tends to focus on listening to music and meditation. The existing products are mostly just a list and presentation of related content, and the process is not standardized enough to meet the level of clinical use.

[0005] (2) Challenges related to insufficient professional expertise. Both music therapy and cognitive therapy require guidance and instruction from professionals to provide personalized guidance and interaction. Currently, most existing products use light music or classical music as listening content. Although music generally has a certain relaxing effect, the effectiveness of this type of music in psychological adjustment lacks verification.

[0006] (3) The difficulty of integrating music and cognitive therapy. Both music therapy and cognitive behavioral therapy require professionals with specialized backgrounds. Currently, teams with both professional backgrounds are scarce, making it difficult to integrate music and cognitive therapy. Summary of the Invention

[0007] This application provides an intelligent guidance method and system that combines music and cognitive adjustment. This application is a highly reliable, easy-to-use, standardized, and personalized intelligent guidance method and system that combines music and cognitive adjustment.

[0008] In a first aspect, embodiments of this application provide an intelligent guidance system that combines music and cognitive adjustment, including:

[0009] The course library module is used to store music cognition adjustment course data;

[0010] The information collection and identification module is used to acquire the user's basic information and test result information, and determine the target group category corresponding to the user based on the basic information and test result information;

[0011] The music cognition guidance program generation module is used to call the corresponding music cognition adjustment course according to the user's target group category, combine the course usage data to generate a music cognition guidance program, and generate corresponding 3D digital music in response to user feedback.

[0012] The data tracking module is used to obtain user usage records;

[0013] The message reminder module is used to respond when a music cognition guidance program exists, and generate usage reminder information based on the course usage data and user usage records, or respond at a set period to generate review reminder information.

[0014] The music cognition guidance scheme generation module is used to: filter courses from the course library module according to the user's target group category, call the corresponding music cognition adjustment course data, each music cognition adjustment course data has a corresponding tag, and generate corresponding 3D digital music when receiving user instructions. The 3D digital music includes 3D digital pure music, 3D brainwave music, or digital music with 3D sound effects generated based on the guiding text.

[0015] Among them, the brainwave frequencies of 3D brainwave music are Delta waves, Theta waves, or Alpha waves. Using binaural beat frequency technology, two mono sine waves with frequencies that can be masked by the original audio are added to the music, and the two mono sine waves have a frequency difference.

[0016] The process of generating digital music with 3D sound effects based on guide text includes: acquiring guide text, extracting contextual words and auditory location words from the guide text, and acquiring music tracks corresponding to the contextual words; acquiring corresponding 3D sound effects based on the contextual words and auditory location words, adding the 3D sound effects to the corresponding time points of the music tracks to obtain 3D audio; and spatializing the 3D audio to generate 3D digital music.

[0017] The information collection and identification module obtains the user's test results based on the received questionnaires and scale completion results. The questionnaires include the McGill Pain Questionnaire, and the scales include the ISI Insomnia Scale, the SAS Anxiety Scale, and the SDS Depression Scale. The information collection and identification module identifies the target population category to which the user belongs based on the statistical results of the questionnaires and scales, combined with the scoring criteria of each scale.

[0018] The message reminder module includes mid-term re-evaluation reminders and post-term re-evaluation reminders.

[0019] It also includes an intelligent recommendation module, which is connected to the information collection and recognition module and the music cognition guidance scheme generation module, respectively, and is used to update the music cognition guidance scheme based on user usage records and review results.

[0020] It also includes a check-in module, which is connected to the data tracking module and is used to receive the check-in information of users after completing the cognitive guidance program each day. When a user fails to check in, the system sends a message to the user to remind them.

[0021] Secondly, this application provides an intelligent guidance method that combines music and cognitive adjustment, including:

[0022] Store music cognition adjustment course data;

[0023] Obtain the user's basic information and test results, and determine the target group category corresponding to the user based on the basic information and test results;

[0024] Based on the target user group category, the corresponding music cognition adjustment course is invoked, and combined with the course usage data, a music cognition guidance plan is generated, and corresponding 3D digital music is generated in response to user feedback.

[0025] Obtain user usage records;

[0026] When a music cognition guidance program is available, the system responds by generating usage reminders based on the course usage data and user usage records, or by generating re-evaluation reminders according to a set cycle.

[0027] Thirdly, embodiments of this application provide a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of any of the methods described above.

[0028] The intelligent guidance method and system combining music and cognitive adjustment in this application have the following beneficial effects:

[0029] 1. This invention is equipped with an information collection and identification module, which can accurately determine the target group category of the user and provide personalized solutions based on the different feedback from the user's preliminary assessment. This makes it easier to meet the user's personalized and customized needs, makes the intervention process more targeted, and improves the intervention effect.

[0030] 2. This invention constructs a professional and scientific course database for storing music cognition adjustment course data. Based on the results of the information collection and identification module, effective courses are selected to form a music cognition guidance plan, which is highly reliable.

[0031] 3. This invention is equipped with a message reminder module, which can facilitate the review of the mid-term and post-term tests, effectively utilize the psychological test results of the pre-test, mid-test and post-test, and achieve a more professional matching of music cognition guidance programs, truly realizing the systematization, systematization and standardization of the intervention process.

[0032] 4. This invention combines music with cognitive therapy, providing professional healing music and mindfulness meditation content tailored to different needs, offering a positive and constructive psychological environment. Compared to traditional music meditation, it is more professional and scientific.

[0033] 5. This invention can help realize remote online listening therapy, making it convenient for patients in need to receive intervention at home.

[0034] 6. This invention can be applied to people with sleep disorders, pain, mental illnesses, neurological diseases, and those seeking to improve cognition, and has no side effects. Attached Figure Description

[0035] Figure 1 This is a schematic diagram of the intelligent guidance system that combines music and cognitive adjustment according to an embodiment of this application;

[0036] Figure 2 This is another structural schematic diagram of the intelligent guidance system that combines music and cognitive adjustment according to an embodiment of this application;

[0037] Figure 3 This is a flowchart illustrating the intelligent guidance method combining music and cognitive adjustment, as described in an embodiment of this application.

[0038] Figure 4 This is a flowchart illustrating the music cognition guidance scheme generation module in an embodiment of this application. Detailed Implementation

[0039] The present application will be further described below with reference to the accompanying drawings and embodiments.

[0040] The following description provides several embodiments of the present invention. Different embodiments can be substituted or combined. Therefore, this application can also be considered to include all possible combinations of the same and / or different embodiments described. Thus, if one embodiment includes features A, B, and C, and another embodiment includes features B and D, then this application should also be considered to include embodiments containing one or more other possible combinations of features A, B, C, and D, even if such embodiments are not explicitly described in the following text.

[0041] The following description provides examples and does not limit the scope, applicability, or examples set forth in the claims. Changes may be made to the function and arrangement of the described elements without departing from the scope of this application. Various processes or components may be appropriately omitted, substituted, or added to the examples. For example, the described methods may be performed in a different order than described, and various steps may be added, omitted, or combined. Furthermore, features described with respect to some examples may be combined into other examples.

[0042] Example 1

[0043] like Figure 1 As shown, the intelligent guidance system combining music and cognitive adjustment in this application includes: a course library module 1, used to store music cognitive adjustment course data; an information collection and identification module 2, used to obtain the user's basic information and test results, and determine the user's target group category based on the basic information and test results; a music cognitive adjustment plan generation module 3, used to call the corresponding music cognitive adjustment course according to the user's target group category, generate a music cognitive adjustment plan based on the course usage data, and generate corresponding 3D digital music in response to user feedback; a data tracking module 4, used to obtain user usage records; and a message reminder module 5, used to respond when a music cognitive adjustment plan exists, generate usage reminder information based on course usage data and user usage records, or respond at a set period to generate re-evaluation reminder information.

[0044] This application presents an intelligent guidance system that combines music and cognitive adjustment, which is highly reliable, easy to use, standardized, and able to meet personalized requirements.

[0045] Example 2

[0046] like Figure 2As shown, the intelligent guidance system combining music and cognitive adjustment in this application includes a course library module 1, an information collection and identification module 2, a music cognitive adjustment scheme generation module 3, a data tracking module 4, and a message reminder module 5. The course library module 1 stores music cognitive adjustment course data; the information collection and identification module 2 acquires the user's basic information and test results, and identifies the user's target population category based on these information; the music cognitive adjustment scheme generation module 3 connects to both the course library module 1 and the information collection and identification module 2, and is used to call the corresponding music cognitive adjustment course according to the user's target population category, combine course usage data (including usage methods and usage cycles), generate a music cognitive adjustment scheme, and generate corresponding 3D digital music in response to user feedback; the data tracking module 4 connects to the music cognitive adjustment scheme generation module 3, and is used to acquire user usage records, including usage date, usage duration, usage logs, and whether the scheme was used according to the plan; the message reminder module 5 connects to both the music cognitive adjustment scheme generation module 3 and the data tracking module 4, and responds when a music cognitive adjustment scheme exists, generating usage reminder information based on course usage data and user usage records; or, responds at a set period, generating review reminder information.

[0047] Course library module 1 includes, for example, music meditation courses for general users and sleep and pain management courses designed under the guidance of doctors. The sleep courses include systematic sleep cognitive adjustment courses for 7 days, 14 days, and 21 days. The pain management courses include a 7-day body scan course. In this embodiment, cognitive adjustment is, for example, cognitive behavioral therapy (CBT).

[0048] The information collection and identification module 2 obtains the user's test results information based on the received questionnaires and scales. The questionnaires include the McGill Pain Questionnaire, and the scales include the ISI Insomnia Scale, the SAS Anxiety Scale, and the SDS Depression Scale. Based on the statistical results of the questionnaires and scales, and in conjunction with the scoring criteria of each scale, the information collection and identification module identifies the target population category to which the user belongs.

[0049] The music cognition guidance program generation module 3 filters courses from the course library module 1 based on the user's real-time status, and personalizedly calls the corresponding music cognition adjustment course data. Each music cognition adjustment course data has a corresponding tag, and when it receives a user's instruction, it generates corresponding 3D digital music. The 3D digital music can be 3D digital instrumental music, 3D brainwave music, or digital music with 3D sound effects generated based on guided text. In this embodiment, different types of 3D digital music are generated by different sub-modules and stored in the course library module 1.

[0050] 3D digital instrumental music utilizes digital music designed for psychological adjustment and intervention, combined with a 3D auditory experience, making it suitable for individuals with depression, anxiety, Parkinson's / Alzheimer's disease, and sleep disorders. The tags accompanying 3D digital instrumental music include user preference information, user needs information, and audio parameters.

[0051] 3D brainwave music uses Delta, Theta, or Alpha waves as its brainwave frequencies. It employs binaural beat frequency technology, adding two mono sine waves with frequencies masked by the original audio frequency to the music as the left and right channels of stereo sound. These two mono sine waves have a frequency difference, altering the brainwave state. It is suitable for individuals seeking solutions for poor attention, anxiety, pain, and sleep disorders. Tags associated with 3D brainwave music include brainwave frequency bands, user preferences, and audio parameters.

[0052] The process of masking binaural beats with the original audio: The prerequisite is that the generated binaural beat frequency range is between 100-300Hz. 1. First, identify the frequency characteristics of the called track. Find a target region with relatively high frequency loudness within the 100-300Hz range. This target region is the frequency band with the largest amplitude in the 100-300Hz spectrum. Generate and superimpose binaural beats within this range; that is, generate and superimpose binaural beats within the target region of the called track. 2. On the frequency band where the binaural beats are added, increase the frequency loudness of this band in the original track using an EQ effect, triggering the masking effect of the binaural beats, thus achieving masking of the binaural beats by using the called track. Increasing the energy of the target frequency band in the original track using an EQ effect can improve the masking effect. 3. Since low frequencies can effectively mask high frequencies, while high frequencies have a smaller masking effect on low frequencies, and the listening experience of binaural beat frequencies generally requires low frequencies (100-300Hz) for human auditory comfort, the processing of the original audio needs to increase the loudness of frequencies in a lower frequency band (30-100Hz) than binaural beat frequencies. This can radiate to the 100-300Hz frequency band, increase energy, and enhance the masking effect.

[0053] Digital music with 3D sound effects, generated from guided text, is a type of music used in conjunction with cognitive behavioral therapy for psychological adjustment. It combines auditory immersion with visual imagery to stimulate synesthetic experiences across the senses, evoking emotional responses and ultimately influencing physiological and psychological states. It is suitable for individuals with depression, anxiety, Parkinson's / Alzheimer's disease, and sleep disorders. This digital music, generated from guided text with 3D sound effects, can guide cognitive restructuring through language, resolving dysfunctional thoughts or guiding towards positive and uplifting imagery. It combines music with cognitive adjustment, reinforcing the semantic information in the guided text. The music is composed according to the emotion and fluctuations of the language, strengthening the tone and enhancing the semantic effect, thereby promoting brain activity. The process of generating digital music with 3D sound effects based on guide text includes: acquiring guide text, extracting contextual words and auditory location words from the guide text, and acquiring music tracks corresponding to the contextual words; acquiring corresponding 3D sound effects based on the contextual words and auditory location words, adding the 3D sound effects to the corresponding time points of the music tracks to obtain 3D audio; and spatializing the 3D audio to generate 3D digital music.

[0054] Regarding the overall atmosphere: keywords defining the atmosphere are extracted from the introductory text (using natural language processing), such as contextual terms (late night, meditation, coffee, forest, city, seaside, etc.). The music library already contains many tags; once matched, the corresponding music tracks are retrieved. Regarding auditory location words, these include both sound effects and location terms, such as "a bird flies in from the left," or "there's a stream on the left." Once these specific objects and locations are identified, sound effects and real-time 3D spatial mixing are automatically added. Regarding timing: one approach is to use pre-recorded voiceovers with time markers for each sentence (or system recognition). When auditory location words (sound effects + location) appear, the sound effects and real-time 3D spatial mixing are added to the corresponding time marker. Alternatively, AI-generated speech synthesis can be used, inserting the audio based on the timing of the speech. The digital music with 3D sound effects generated from the introductory text in this application creates a sense of presence and immersion for the user, giving them a feeling of being there, highly focused on the "scene," and simultaneously creating a pleasant mood.

[0055] like Figure 4 As shown, the music cognition guidance scheme generation module is used for: step S1, extracting guidance features; step S2, selecting corresponding music tracks based on the first scene features and adjusting music parameters; step S3, selecting corresponding sound effects based on the second scene features and realizing 3D design based on auditory orientation features; step S4, spatialization processing; and step S5, final mixing processing.

[0056] The message reminder module 5 includes mid-test and post-test re-evaluation reminders. Periodic re-evaluations are reminders to conduct further psychological testing on the user after a period of use, as required by the prescription. When a re-evaluation reminder is generated, the user can re-identify the target population using the information collection and recognition module 2 and generate a new music cognition guidance plan through the music cognition guidance plan generation module 3. Specifically, mid-test re-evaluation reminders can be generated after one month of use, and post-test re-evaluation reminders can be generated after two months of use.

[0057] like Figure 2 As shown, the intelligent guidance system combining music and cognitive adjustment in this application also includes an intelligent recommendation module 6. The intelligent recommendation module 6 is connected to the information collection and recognition module 2 and the music cognitive guidance scheme generation module 3, respectively, and is used to update the music cognitive guidance scheme based on user usage records and review results.

[0058] In some embodiments, the intelligent recommendation module 6 can update the music cognition guidance plan based on the mid-test results. If the user's scale score reaches the normal value after the mid-test, the listening time and frequency are reduced. If the user's scale score still does not reach the normal value after the mid-test, the original plan is continued to be pushed. If the user's scale score does not reach the normal value after the mid-test, the plan is changed and the corresponding intervention therapy is pushed.

[0059] The intelligent recommendation module 6 can also combine the initial test results, the retest results, and the user's proficiency to adjust the plan for the user. For example, it can increase or decrease the listening content and frequency based on the results of the psychological scale, or adjust the guided meditation course to a pure music course based on the user's proficiency in meditation (calculated by the duration of listening to the meditation course, the longer the duration, the higher the proficiency).

[0060] like Figure 2 As shown, the intelligent guidance system combining music and cognitive adjustment in this application also includes a check-in module 7, which is connected to the data tracking module 4. The check-in module 7 is used to receive the check-in information of the user after completing the cognitive guidance plan every day, upload the user's check-in information, and send a message to the user to remind them when the user does not check in.

[0061] This application's intelligent guidance system integrates professional clinical processes, including preliminary assessment, customized plans, mid-to-late-stage follow-up and feedback, etc. The system is more complete, and users' personalized needs are more easily met. It provides personalized plans based on different users' preliminary assessment feedback, making the intervention process more standardized and professional.

[0062] Compared with the prior art, the present invention has the following beneficial effects:

[0063] 1. This invention is equipped with an information collection and identification module, which can accurately determine the target group category of the user and provide personalized solutions based on the different feedback from the user's preliminary assessment. This makes it easier to meet the user's personalized and customized needs, makes the intervention process more targeted, and improves the intervention effect.

[0064] 2. This invention constructs a professional and scientific course database for storing music cognition adjustment course data. Based on the results of the information collection and identification module, effective courses are selected to form a music cognition guidance plan, which is highly reliable.

[0065] 3. This invention is equipped with a message reminder module, which can facilitate the review of the mid-term and post-term tests, effectively utilize the psychological test results of the pre-test, mid-test and post-test, and achieve a more professional matching of music cognition guidance programs, truly realizing the systematization, systematization and standardization of the intervention process.

[0066] 4. This invention combines music with cognitive therapy, providing professional healing music and mindfulness meditation content to meet different needs, offering a positive and constructive psychological correction environment that is more professional and scientific than traditional music meditation.

[0067] 5. This invention can help realize remote online listening therapy, making it convenient for patients in need to receive intervention at home.

[0068] 6. This invention can be applied to people with sleep disorders, pain, mental illnesses, neurological diseases, and those seeking to improve cognition, and has no side effects.

[0069] like Figure 3 As shown, this application provides an intelligent guidance method combining music and cognitive adjustment, including: S101, storing music cognitive adjustment course data; S103, obtaining the user's basic information and test result information, and determining the user's target group category based on the basic information and test result information; S105, calling the corresponding music cognitive adjustment course according to the user's target group category, generating a music cognitive guidance plan based on the course usage data, and generating corresponding 3D digital music in response to user feedback; S107, obtaining user usage records; S109, responding when a music cognitive guidance plan exists, generating usage reminder information based on course usage data and user usage records, or responding according to a set period, generating re-evaluation reminder information.

[0070] In this application, the embodiments of the intelligent guidance method combining music and cognitive adjustment are basically similar to the embodiments of the intelligent guidance system combining music and cognitive adjustment. For relevant details, please refer to the description of the embodiments of the intelligent guidance system combining music and cognitive adjustment.

[0071] This invention also provides a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the steps of the aforementioned intelligent guidance method combining music and cognitive adjustment. The computer-readable storage medium may include, but is not limited to, any type of disk, including floppy disks, optical disks, DVDs, CD-ROMs, microdrives, as well as magneto-optical disks, ROMs, RAMs, EPROMs, EEPROMs, DRAMs, VRAMs, flash memory devices, magnetic cards or optical cards, nanosystems (including molecular memory ICs), or any type of medium or device suitable for storing instructions and / or data.

[0072] In the several embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. The apparatus embodiments described above are merely illustrative. For example, the division of units is only a logical functional division, and in actual implementation, there may be other division methods, such as: multiple units or components may be combined, or integrated into another system, or some features may be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the various components shown or discussed may be through some interfaces, indirect coupling or communication connection of devices or units, and may be electrical, mechanical, or other forms.

[0073] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. An intelligent guidance system combining music and cognitive adjustment, characterized in that, include: The course library module is used to store music cognition adjustment course data; The information collection and identification module is used to acquire the user's basic information and test result information, and determine the target group category corresponding to the user based on the basic information and test result information; The music cognition guidance program generation module is used to call the corresponding music cognition adjustment course according to the user's target group category, combine the course usage data to generate a music cognition guidance program, and generate corresponding 3D digital music in response to user feedback. The data tracking module is used to obtain user usage records; The message reminder module is used to respond when a music cognition guidance program exists, and generate usage reminder information based on the course usage data and user usage records, or respond at a set period to generate re-evaluation reminder information; The music cognition guidance scheme generation module is used to: filter courses from the course library module according to the user's target group category, call the corresponding music cognition adjustment course data, each music cognition adjustment course data has a corresponding tag, and generate corresponding 3D digital music when receiving user instructions. The 3D digital music includes 3D digital pure music, 3D brainwave music or digital music with 3D sound effects generated based on the guiding text. The process of generating digital music with 3D sound effects based on guide text includes: acquiring guide text, extracting scene-specific words and auditory location words from the guide text, and acquiring music tracks corresponding to the scene-specific words; acquiring corresponding 3D sound effects based on the scene-specific words and auditory location words, adding the 3D sound effects to the corresponding time points of the music tracks to obtain 3D audio; and spatializing the 3D audio to generate 3D digital music. Among them, the brainwave frequencies of 3D brainwave music are Delta waves, Theta waves, or Alpha waves. Using binaural beat frequency technology, two mono sine waves with frequencies that can be masked by the original audio are added to the music, and the two mono sine waves have a frequency difference.

2. The intelligent guidance system combining music and cognitive adjustment according to claim 1, characterized in that, The information collection and identification module obtains the user's test results information based on the received questionnaires and scale completion results. The questionnaires include the McGill Pain Questionnaire, and the scales include the ISI Insomnia Scale, the SAS Anxiety Scale, and the SDS Depression Scale. The information collection and identification module identifies the target population category to which the user belongs based on the statistical results of the questionnaires and scales, combined with the scoring criteria of each scale.

3. The intelligent guidance system combining music and cognitive adjustment according to claim 1, characterized in that, The message notification module provides review notification information, including mid-term review notification information and post-term review notification information.

4. The intelligent guidance system combining music and cognitive adjustment according to claim 1, characterized in that, It also includes an intelligent recommendation module, which is connected to the information collection and recognition module and the music cognition guidance scheme generation module, respectively, and is used to update the music cognition guidance scheme based on user usage records and review results.

5. The intelligent guidance system combining music and cognitive adjustment according to claim 1, characterized in that, It also includes a check-in module, which is connected to the data tracking module and is used to receive the check-in information of users after completing the cognitive guidance program each day. When a user fails to check in, the system sends a message to the user to remind them.

6. An intelligent guidance method combining music and cognitive adjustment, characterized in that, include: Store data from music cognition adjustment courses; Obtain the user's basic information and test results, and determine the target group category corresponding to the user based on the basic information and test results; Based on the target user group category, the corresponding music cognition adjustment course is invoked, and combined with the course usage data, a music cognition guidance plan is generated, and corresponding 3D digital music is generated in response to user feedback. Obtain user usage records; When a music cognition guidance program exists, the system responds by generating usage reminders based on the course usage data and user usage records; or, it responds according to a set period and generates re-evaluation reminders. This includes, based on the target user group category, calling up corresponding music cognition adjustment courses, combining course usage data to generate music cognition guidance plans, and responding to user feedback to generate corresponding 3D digital music, including: Based on the user's target audience category, courses are filtered from the course library module, and corresponding music cognition adjustment course data is called. Each music cognition adjustment course data has a corresponding tag, and when a user's usage instruction is received, corresponding 3D digital music is generated. The 3D digital music includes 3D digital pure music, 3D brainwave music, or digital music with 3D sound effects generated based on the guided text. The process of generating digital music with 3D sound effects based on guide text includes: acquiring guide text, extracting scene-specific words and auditory location words from the guide text, and acquiring music tracks corresponding to the scene-specific words; acquiring corresponding 3D sound effects based on the scene-specific words and auditory location words, adding the 3D sound effects to the corresponding time points of the music tracks to obtain 3D audio; and spatializing the 3D audio to generate 3D digital music. Among them, the brainwave frequencies of 3D brainwave music are Delta waves, Theta waves, or Alpha waves. Using binaural beat frequency technology, two mono sine waves with frequencies that can be masked by the original audio are added to the music, and the two mono sine waves have a frequency difference.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the steps of the method of claim 6.

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