Ai-driven meditation content generation method and meditation device based on biological data

Abstract

The present invention provides an AI-driven meditation content generation method based on biological data. The method is designed to provide corresponding meditation content to a meditation device, where the meditation content includes scene audio and scene colors. The meditation device comprises a speaker, an eye mask, a smart terminal, and a smart wearable device. The method includes: the smart terminal obtaining meditation scene keywords input by the user; the smart terminal generating multiple segments of scene audio based on the meditation scene keywords; the smart terminal generating corresponding scene colors based on the scene audio; the smart wearable device obtaining the user's breathing frequency; the smart terminal sending the scene audio to the speaker for playback, while simultaneously sending the corresponding scene colors to the eye mask for display. The meditation content generation method and the corresponding meditation device of the present invention can provide personalized meditation content tailored to user needs from three perspectives: personalized content generation, multi-sensory interaction, and real-time biological data feedback.

Description

AI-Driven Meditation Content Generation Method and Meditation Device Based on Biological DataTechnical Field

[0001] This invention pertains to the field of AI data processing, specifically to an AI-driven meditation content generation method and meditation device based on biological data.Background Art

[0002] Meditation, as an effective method for improving mental health and managing stress, has been supported by increasing scientific research. Its regulation of the autonomic nervous system, particularly enhancing the parasympathetic nervous system, has been validated. Meditation can be categorized into immersive meditation and focused meditation. Focused meditation can be practiced by concentrating on breathing, gazing at a particular image, or imagining scenarios. Meditation has been found to improve attention, alleviate negative emotions such as anxiety and depression, and enhance positive emotions.

[0003] Due to individual differences, the same meditation content can have varied effects on different users. Providing personalized or engaging meditation scenarios to users can better activate the associative regions of their brains, reduce stress levels by synchronously stimulating the parasympathetic nervous system, and significantly improve heart rate variability and stress hormone levels.

[0004] However, existing meditation devices offer limited meditation content and presentation methods, which fail to cater to the specific needs of users with personalized meditation content.Technical Problem

[0005] This invention provides an AI-driven meditation content generation method and device based on biological data, capable of offering personalized meditation content tailored to users' specific needs. This addresses the issue of limited meditation content and presentation methods in existing devices, which fail to provide personalized meditation content.

[0006] An embodiment of the invention proposes an AI-driven meditation content generation method based on biological data, designed to supply corresponding meditation content to a meditation device. The meditation content includes scene audio and scene colors. The meditation device comprises speakers for presenting the scene audio, an eye mask for displaying scene colors, and a smart terminal for inputting meditation scenarios and outputting the scene audio and colors.

[0007] The method includes the following steps:

[0008] The smart terminal obtains meditation scenario keywords input by the user.

[0009] The smart terminal generates multiple segments of scene audio based on the keywords.

[0010] The smart terminal generates corresponding scene colors based on the scene audio, with each scene audio segment associated with at least one scene color.

[0011] The smart terminal sends the scene audio to the speakers for playback and simultaneously sends the corresponding scene colors to the eye mask for display.

[0012] If the scene audio includes multiple scene colors, the switching frequency of the scene colors is determined based on the playback rate of the scene audio.

[0013] Additionally, an embodiment of the invention provides a meditation device that includes:

[0014] A smart terminal for inputting meditation scenarios and outputting scene audio, colors, and sounds.

[0015] Speakers connected to the smart terminal to receive and present the scene audio and sounds.

[0016] An eye mask connected to the smart terminal to receive and display the scene colors, with the scene colors corresponding to the scene audio.

[0017] A wearable smart device connected to the smart terminal to detect the user's breathing rate and transmit it to the smart terminal.

[0018] The smart terminal further adjusts the playback rate of the scene audio and sounds and modifies the switching frequency and direction of the scene colors based on the breathing rate.

[0019] This AI-driven meditation content generation method and device based on biological data can generate personalized scene audio, colors, and sounds based on user-input keywords. The specific content of the scene audio and colors corresponds to each other. The playback rate of the scene audio aligns with the switching frequency of the scene colors, achieving personalized settings for both the content and presentation of meditation. The invention addresses user-specific needs from three aspects: personalized content generation, multi-sensory linkage, and real-time biological data feedback.Description of Drawings

[0020] To better illustrate the technical solutions in this invention and the prior art, a brief description of the accompanying drawings used in the embodiments is provided. The drawings described below are only for some embodiments of the invention. Those skilled in the art can derive additional drawings without creative effort based on these figures.

[0021] Figure 1 illustrates the structural schematic of a specific embodiment of the meditation device in this invention.

[0022] Figure 2 is the flowchart of the specific embodiment of the AI-driven meditation content generation method based on biological data.

[0023] Figure 3 illustrates the structural diagram of the eye mask of the meditation device in this invention.

[0024] Figure 4 shows the specific process of a user performing meditation using the meditation device of this invention.Best Mode

[0025] Below, the technical solutions of the embodiment of this invention will be described clearly and completely in conjunction with the accompanying drawings. It is obvious that the described embodiment is only one part of the embodiments of the invention, not all embodiments. All other embodiments derived by those skilled in the art based on the embodiments of the invention without requiring inventive efforts are within the scope of protection of this invention.

[0026] Unless otherwise defined, all technical and scientific terms used in this document have the meanings commonly understood by those skilled in the art within the technical field of the invention.

[0027] As shown in Figure 1, it illustrates the structural schematic of a specific embodiment of the meditation device of the invention. In this embodiment, the meditation device 10 includes a smart terminal 11, speakers 12, an eye mask 13, and a wearable smart device 14.

[0028] The smart terminal 11 can be a terminal device with computing capabilities, such as a PC, smartphone, tablet computer, e-reader, MP3 player (Moving Picture Experts Group Audio Layer III), MP4 player (Moving Picture Experts Group Audio Layer IV), or other portable devices with display capabilities. The smart terminal 11 may have input devices like a microphone and a touch screen, allowing the user to input meditation scenarios. Based on these inputs, the smart terminal 11 generates the corresponding scene audio, scene colors, and scene sounds.

[0029] The speakers 12 can be portable speakers, home audio systems, or wearable headphones. These speakers 12 are connected to the smart terminal 11 to receive and play the scene audio and sounds, displaying the scene audio and sounds accordingly.

[0030] The eye mask 13 is an electronic eye mask with multi-colored LEDs inside. This eye mask 13 is connected to the smart terminal 11 and displays the scene colors received from the terminal. The scene colors correspond to the scene audio, ensuring the content of the colors matches that of the audio.

[0031] The wearable smart device 14 can be an electronic watch or wristband capable of detecting real-time user data such as heart rate, blood pressure, and blood oxygen levels. This smart wearable device 14 is connected to the smart terminal 11 to detect the user’s breathing rate and transmit it to the smart terminal. Based on the breathing rate, the smart terminal adjusts the playback rate of the scene audio and sounds and modifies the switching frequency and direction of the scene colors.

[0032] Below is a detailed explanation of the personalized meditation using the meditation device of the present invention, or the AI-driven method for generating personalized meditation content. Please refer to Figure 2, which is the flowchart of the specific implementation of the AI-driven meditation content generation method based on biological data. The meditation content generation method in this embodiment includes:

[0033] Step S201: The smart terminal receives the meditation scene keywords input by the user;

[0034] Step S202: The smart terminal generates multiple segments of scene audio based on the meditation scene keywords;

[0035] Step S203: The smart terminal generates corresponding scene colors based on the scene audio, where the scene audio corresponds to at least one scene color;

[0036] Step S204: The smart terminal sends the scene audio to the speaker for playback, while sending the corresponding scene colors to the eye mask for display.

[0037] Now, let's explain the specific process of the AI-driven meditation content generation method based on biological data in more detail.

[0038] In Step S201, the user can input the meditation scene keywords to the smart terminal via voice or touchscreen. For example, the user may input keywords such as "seaside Zen temple, full moon, waves" through voice or written text.

[0039] In Step S202, the smart terminal may analyze the meditation scene keywords using a GPT-like model or other large language models to construct a detailed and visualized meditation scene. The terminal will then use multiple segments of scene audio and background sounds to describe the meditation scene. The scene audio may consist of a human voice describing objects in the meditation scene, while the scene sounds may include background music or natural environmental sound effects, such as wind or ocean waves.

[0040] For example, for the meditation scene keywords "seaside Zen temple, full moon, waves," the smart terminal might generate the following description: "Imagine yourself in a tranquil Zen temple, located by the seaside in Japan. A full moon hangs high in the sky, its silver light spreading over the courtyard, illuminating the lush pine trees and smooth stone pathways. Everything around you is bathed in a soft silver glow. You hear the sound of the waves, gently but powerfully crashing against the shore... feel the steady rhythm, like the heartbeat of the earth. Above the waves, you can also hear the pine trees rustling, a gentle breeze brushing the pine needles, creating a deep, whispering sound."

[0041] At the same time, the smart terminal can also call a natural sound library based on the meditation scene keywords, selecting natural sound effects such as ocean waves, wind, and the rustling of pine trees.

[0042] In Step S203, the smart terminal generates corresponding scene colors based on the scene audio.

[0043] For instance, the scene audio for "seaside Zen temple, full moon" might generate silver and cool white scene colors, while the audio for "waves and pine trees" might generate deep blue and pine green colors, reflecting the blending of sea and forest colors. Each segment of scene audio may correspond to one or more scene colors.

[0044] In Step S204, the smart terminal sends the scene audio and music to the speakers for playback, while sending the scene colors to the eye mask for display.

[0045] At this point, the user can listen to the audio related to "seaside Zen temple, full moon, and waves" from the speakers, along with the background sounds of ocean waves, wind, and pine trees.

[0046] The user can also experience the scene colors through the eye mask, such as the alternating silver and cool white colors, as well as the alternating deep blue and pine green colors.

[0047] To ensure the user perceives the consistency between the scene audio and the scene colors, the playback rate of the scene audio should match the switching frequency of the scene colors

[0048] If the scene audio corresponds to only one scene color, the frequency of brightness changes of the scene color can be used to replace the scene color switching frequency. For example, in the scene of the full moon, if the scene color is set to silver-white, the effect of adjusting the user's breathing frequency can be achieved by alternately switching between high and low brightness levels of the silver-white color.

[0049] Similarly, the switching direction of the scene color can be set to correspond to the user’s inhalation and exhalation actions. For instance, when the user exhales, the scene color can switch from the inside out; when the user inhales, the scene color can switch from the outside in. This approach helps the user better perceive the consistency between the scene color change and their breathing action. The synchronized visual effects from the eye mask and the auditory effects from the speaker can enhance the user's immersive experience.

[0050] Furthermore, the smart wearable device in this embodiment will also acquire the user’s breathing frequency and send it to the smart terminal. The smart terminal can then adjust the playback rate of the scene audio and the switching frequency and direction of the scene color based on the user’s breathing frequency.

[0051] Since users may have different initial states, the smart terminal can adjust the playback rate of the scene audio and the switching frequency of the scene color based on the user's current breathing frequency. Based on the corresponding relationship between the scene audio playback rate, the scene color switching frequency, and the user's breathing frequency, the smart terminal can first set the scene color switching frequency and scene audio playback rate to values that closely match the user’s breathing frequency, then slowly adjust these values to influence the user’s breathing frequency.

[0052] Additionally, when the smart terminal acquires the meditation scene keywords input by the user in Step S201, the user can also input the duration for which they wish to meditate, such as ten minutes or twenty minutes. The smart terminal can then set the specific times for entering the meditation stage, the meditation stage itself, and the end of the meditation stage based on the user's input. For instance, if the user inputs a meditation time of ten minutes, the smart terminal can set the time for entering the meditation stage to two minutes, the meditation stage to six minutes, and the end of meditation stage to two minutes.

[0053] The "entering meditation stage" is designed to guide the user from a normal state (normal breathing state) into a relaxed state (deep breathing state), while the "ending meditation stage" is designed to guide the user from the relaxed state back to the normal state. The "meditation stage" is meant to guide the user through meditation operations.

[0054] Due to the different purposes of the entering meditation stage, meditation stage, and ending meditation stage, the smart terminal will generate corresponding scene audio for each of these stages based on the meditation scene keywords.

[0055] The scene audio for the entering meditation stage is primarily aimed at helping the user relax, and thus it does not focus on a specific meditation scene but is mainly designed to adjust the user's breathing state. The scene audio for this stage may include phrases such as: "Find a quiet place to sit or lie down, making your body comfortable. Gently close your eyes and start to relax. Take a deep breath…1…2…3…4… Let this fresh air fill your body, awakening your senses. Then slowly exhale…1…2…3…4…5…6, letting go of all tension and stress. Take another deep breath…1…2…3…4… Let calmness flow through your entire body. Then exhale…1…2…3…4…5…6." As such, the playback speed of the scene audio in the meditation stage is slower than the scene audio for the entering meditation stage. The breathing instructions in the scene audio can serve as effective guiding prompts to slow down the user's breathing frequency.

[0056] Since the user is more focused during the meditation stage, they are more sensitive to the volume of the scene audio. Therefore, the volume of the scene audio during the meditation stage should be lower than that of the entering meditation stage.

[0057] The scene audio for the meditation stage is mainly designed to guide the user in performing meditation operations. Since the scene audio for the entering meditation stage has already adjusted the user's breathing frequency, this stage only needs to effectively present the scene audio, scene music, and scene colors of the meditation scene. Typically, the playback speed and volume of the scene audio in the meditation stage should remain stable and consistent.

[0058] For example, the scene audio during the meditation stage could be: "Now, imagine yourself in a peaceful Zen garden located by the sea in Japan. A bright full moon hangs high in the sky, casting its pure light over the garden, illuminating the green pine trees and smooth stone path. Everything around you is enveloped in a soft silver glow. The sound of the ocean waves gently and powerfully crash against the shore… Feel the steady rhythm, like the heartbeat of the earth. Above the waves, you can hear the sound of the pine trees in the wind, the breeze gently brushing the pine needles, creating a deep, rustling sound. Let these natural sounds surround you, soothing your spirit. Maintain this calm breathing and feel your body gradually merge into the harmony of nature. The sounds of the waves and the pine trees, each one like a gentle greeting to your soul. In this moment, you need not do anything; just be with the tranquility.

[0059] The scene audio for the ending meditation stage is primarily designed to guide the user out of the meditation scene, so this part of the scene audio does not focus on specific meditation scenes. Its main goal is to adjust the user's breathing state. The scene audio for this stage may include phrases such as: "As time passes, slowly bring your awareness back to the present space. Feel your body’s contact with the ground once again. Listen to the sounds around you and feel the natural flow of your breath. Finally, take a deep breath…1…2…3…4… Gently exhale…1…2…3…4…5…6. Gently move your fingers and toes, allowing your body to regain some movement. You can stretch out and thank yourself for taking the time to nourish your inner self. When you're ready, open your eyes and continue your journey with this sense of tranquility.

[0060] As such, the playback speed of the scene audio in the ending meditation stage should be faster than that of the meditation stage. The breathing instructions in the audio can serve as effective guiding prompts to increase the user's breathing frequency.

[0061] Additionally, since the goal is for the user to leave the meditation state, the volume of the scene audio during the ending meditation stage should be higher than that during the meditation stage, helping the user quickly transition from the relaxed state back to normal breathing.

[0062] Further, the meditation content in this embodiment also includes breathing guidance audio. If the user’s breathing frequency is abnormal during the meditation phase, such as breathing too fast, it may affect the user's meditation experience. When the smart terminal detects such abnormal breathing frequencies through the smart wearable device, it will directly play breathing guidance audio to adjust the user’s breathing frequency during the meditation phase. The scene audio could include: "With each breath, try to connect with this tranquility. As you inhale, imagine the moonlight and sea breeze flowing into your body, bringing freshness and calmness…1…2…3…4… As you exhale, imagine releasing all worries and tension into the endless sea…1…2…3…4…5…6." By playing the exhalation and inhalation guidance audio, the user’s breathing frequency can be effectively guided. If the smart terminal continues to detect abnormal breathing frequency, it can repeatedly play this scene audio to help the user achieve the desired breathing effect.

[0063] Additionally, the smart terminal can assign different scene colors to the inhalation and exhalation guidance audio. For example, when the user inhales, the multi-color LED eye mask can display silver and cool white to represent the moonlight entering the body; when the user exhales, the multi-color LED eye mask can display deep blue and pine green to represent the sea absorbing all worries. Different scene colors can further guide the user's breathing frequency.

[0064] Further, as shown in Figure 3, which is a schematic diagram of the structure of the eye mask of the meditation device in the present invention. The eye mask 13 of the meditation device in this embodiment includes a blocking part 131 positioned directly in front of the user’s eyes and multiple LED light-emitting sections surrounding the user's eyes: the first LED light-emitting section 132 and the second LED light-emitting section 133. The first LED light-emitting section 132 is positioned closer to the user's eyes than the second LED light-emitting section 133.

[0065] When the scene colors change, the LED light-emitting sections can switch the scene colors from left to right or from right to left, to reflect the user's perception of different scene colors from the left or right side of the scene.

[0066] Of course, when switching the scene colors, the LED light-emitting sections can also switch from the outside to the inside (from the second LED light-emitting section 133 to the first LED light-emitting section 132), or from the inside to the outside (from the first LED light-emitting section 132 to the second LED light-emitting section 133). This can better represent the scene color that is further away from the user (coordinating with the exhalation guidance voice) and the scene color that is closer to the user (coordinating with the inhalation guidance voice).

[0067] Next, an embodiment of the meditation device and its corresponding AI-driven meditation content generation method based on biological data will be described in detail. Specifically, please refer to Figure 4, which shows the specific process when the user operates the meditation device of the present invention. The process includes the following steps:

[0068] Step S401: The user wears the eye mask, turns on the speaker, and puts on the smart wearable device.

[0069] Step S402: The user enters the meditation keyword into the smart terminal, such as "Generate a 10-minute meditation voice guide with keywords: Japanese seaside Zen temple, tranquility, bright moon, sound of waves, and sound of pine wind."

[0070] Step S403: The smart terminal generates multiple scene audios and scene music, specifically:

[0071] Entering meditation phase: "Find a comfortable and quiet place to sit or lie down, gently close your eyes, and let your body slowly relax. Take a deep breath, filling your lungs with fresh air…1…2…3…4… Then slowly exhale…1…2…3…4…5…6. Once again, take a deep breath…1…2…3…4… Let the tranquility of this moment flow into your body. Then gently exhale…1…2…3…4…5…6."

[0072] Meditation phase: "Now, imagine yourself in a tranquil Zen temple located by the Japanese seaside. A bright moon hangs high in the sky, its silver light bathing the courtyard, illuminating the green pine trees and smooth stone paths. Everything around you is enveloped in a soft silver glow. You can hear the sound of the ocean waves, gentle yet powerful, crashing against the shore... Feel that steady rhythm, like the heartbeat of the earth. Above the waves, you can also hear the sound of the pine wind, the breeze gently brushing the pine needles, creating a soft rustling sound. Let these natural sounds surround you and gently soothe your mind. Maintain this peaceful breath, feel your body gradually merging with this natural harmony. The sound of the waves, the sound of the pine wind, each one is like a gentle greeting to your soul. At this moment, you don't need to do anything, just be with this tranquility."

[0073] "Now, try to turn your attention inward. Ask yourself: what kind of mood do I want to carry out of this meditation? Peace? Joy? Or strength? Whatever it is, let that feeling deepen with every breath into your heart."

[0074] "As time passes, slowly bring your awareness back to the present space. Feel the contact between your body and the ground again. Listen to the sounds around you and feel the natural flow of your breath."

[0075] Ending meditation phase: "Finally, take a deep breath...1...2...3...4... Gently exhale...1...2...3...4...5...6. Gently move your fingers and toes to bring some movement back to your body. You can stretch and thank yourself for taking the time to nourish your inner self. When you're ready, open your eyes and continue your journey with this sense of tranquility."

[0076] Simultaneously generating corresponding natural environmental sounds such as ocean waves, wind, and pine forest sounds. Step S404: The smart terminal generates corresponding scene colors. For the "Entering Meditation Phase," the scene colors may be: Deep, soft purples and warm golden light intertwined, representing tranquility and comfort. Gentle light blue hues, symbolizing fresh, pure air, carry a hint of the coolness of a morning breeze. For the "Meditation Phase," the scene colors may be: Silver and cool white light radiating from the moon, creating a sense of calm and sanctity. Deep blue and pine green hues, merging the colors of the deep sea and forest, evoke the vastness and power of nature. For the "Ending Meditation Phase," the scene colors may be: The light softens and becomes more peaceful, with silver and deep blue gradually blending together, symbolizing inner peace and self-acceptance. Step S405: The smart terminal sends the above scene sounds and music to the speakers for playback, while simultaneously transmitting the corresponding scene colors to the eye mask for display. The playback rate of the scene sounds should match the frequency of the scene color transitions. Step S406: During the meditation session, the wearable device acquires the user's breathing frequency and sends it as feedback to the smart terminal. If the smart terminal detects any abnormal breathing patterns during the meditation phase, it will play breathing guidance audio to help adjust the user's breathing rate. The breathing guidance audio is as follows: "With every breath, try to connect with this tranquility. As you inhale, imagine the moonlight and sea breeze flowing into your body, bringing freshness and calmness... 1... 2... 3... 4... As you exhale, imagine releasing all your worries and tensions into the endless sea... 1... 2... 3... 4... 5... 6."  The multi-color LED eye mask displays scene colors corresponding to the breathing guidance audio: As you inhale, silver moonlight and clear seawater intertwine, with warm, light cyan hues flowing into your body, bringing peace and comfort; as you exhale, the deep blue sea absorbs all your worries, and the colors gradually become deeper and more profound.

[0077] After completing the meditation session, the user can upload the meditation content to the cloud for future use or sharing with other users. This allows the meditation content shared among multiple users to form a dynamically optimized meditation content database in the cloud.

[0078] This completes the entire process for a user to perform meditation using the meditation device of this embodiment. The AI-driven meditation content generation method based on biological data and the meditation device of the present invention can generate personalized scene audio, scene colors, and ambient sounds based on user-inputted meditation scene keywords. The content of these scene audio and scene colors is correlated, with the playback rate of the scene audio matching the frequency of scene color transitions. This results in personalized meditation content settings, as well as personalized configurations for the presentation of such content. From the perspectives of personalized content generation, multi-sensory integration, and real-time biological data feedback, the present invention provides tailored meditation content that responds to the specific needs of the user. The meditation device can effectively reduce anxiety, enhance focus, assist users in achieving sleep onset, and offer personalized meditation and relaxation solutions.

[0079] In the embodiments provided above, it should be understood that the disclosed system, devices, and methods can be implemented in various alternative ways. For example, the device embodiments described above are illustrative and the division of units is one possible logical functional partitioning. In actual implementations, different forms of partitioning may be used, such as combining or integrating multiple units or components into a single system, or omitting certain features or functions. Additionally, the coupling or communication between components discussed or shown can involve indirect coupling through interfaces or other methods, such as electrical, mechanical, or other types of connections.

[0080] The units described as separate components may or may not be physically distinct. Components shown as units may or may not be physical units, meaning they could either be located together or distributed across multiple network units. Depending on the actual needs, some or all of the units may be selected to fulfill the objectives of the embodiment of the present invention.

[0081] Additionally, in the various embodiments of the present application, the functional units can be integrated into a single processing unit, or they can physically exist as separate units, or two or more units can be integrated into a single unit. These integrated units may be implemented in hardware form or as software functional units. If the integrated units are implemented as software functional units and sold or used as standalone products, they can be stored in a computer-readable storage medium.

[0082] Based on this understanding, the technical solutions of the present application, or the contributions made by these technical solutions, or the entirety or a part of these solutions can be embodied as a software product. The computer software product is stored in a storage medium and includes instructions that enable a computing device (such as a mobile terminal, personal computer, server, or network device) to execute all or part of the steps of the methods described in the various embodiments of this application. The storage medium includes: U-disks, mobile hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, optical disks, and other mediums capable of storing program code.

[0083] In conclusion, although the present invention has been disclosed with preferred embodiments as described above, the scope of protection of the present invention is not limited to these examples. Any person skilled in the art may make equivalent substitutions or modifications based on the technical solutions disclosed within the scope of the present invention, and such modifications or substitutions should be included within the protection scope of this invention.

[0084] The technical features of the embodiments described above may be combined in any manner. For simplicity, not all possible combinations of the technical features of the embodiments are explicitly described. However, any combination of features that does not present a contradiction should be considered within the scope of this specification.

Claims

1. An AI-driven meditation content generation method based on biological data, characterized in that the method is used to provide corresponding meditation content to a meditation device, the meditation content including scene audio and scene colors; the meditation device comprising:a speaker for presenting the scene audio,an eye mask for displaying the scene colors, anda smart terminal for inputting the meditation scene and outputting the scene audio and scene colors;wherein the method comprises:the smart terminal obtaining meditation scene keywords inputted by the user;the smart terminal generating multiple segments of the scene audio based on the meditation scene keywords;the smart terminal generating corresponding scene colors based on the scene audio, with each segment of the scene audio corresponding to at least one scene color;the smart terminal sending the scene audio to the speaker for playback, and simultaneously sending the corresponding scene colors to the eye mask for display;wherein, if the scene audio includes multiple scene colors, the switching frequency of the scene colors is determined based on the playback rate of the scene audio.2.The AI-driven meditation content generation method based on biological data according to Claim 1, characterized in that:if the scene audio corresponds to a single scene color, the brightness change frequency of the scene color is determined based on the playback rate of the scene audio.3.The AI-driven meditation content generation method based on biological data according to Claim 1, characterized in that:the meditation content further includes scene sounds;the method further comprises:the smart terminal generating corresponding scene sounds based on the meditation scene keywords;the smart terminal sending the scene audio and the corresponding scene sounds to the speaker for playback.4.The AI-driven meditation content generation method based on biological data according to Claim 1, characterized in that:the meditation device further includes a smart wearable device for detecting the breathing frequency of the user;the method further comprises:the smart wearable device obtaining the user's breathing frequency and sending the breathing frequency to the smart terminal;the smart terminal adjusting the current playback rate of the scene audio based on the breathing frequency; andthe smart terminal adjusting the switching frequency and direction of the scene colors based on the breathing frequency.5.The AI-driven meditation content generation method based on biological data according to Claim 4, characterized in that the method further comprises:the smart terminal obtaining a meditation duration inputted by the user;the smart terminal setting an entering meditation phase, a meditation phase, and an ending meditation phase based on the meditation duration;the smart terminal generating scene audio for the entering meditation phase, the meditation phase, and the ending meditation phase based on the meditation scene keywords;the playback rate of the scene audio in the meditation phase being lower than that of the entering meditation phase;the playback rate of the scene audio in the meditation phase being lower than that of the ending meditation phase;the volume of the scene audio in the meditation phase being lower than that of the entering meditation phase;the volume of the scene audio in the meditation phase being lower than that of the ending meditation phase.6.The AI-driven meditation content generation method based on biological data according to Claim 5, characterized in that:the scene audio in the entering meditation phase includes entering meditation guidance audio for reducing the user's breathing frequency;the scene audio in the ending meditation phase includes ending meditation guidance audio for increasing the user's breathing frequency.7.The AI-driven meditation content generation method based on biological data according to Claim 4, characterized in that:the meditation content further includes breathing guidance audio;if the smart terminal determines that the user's breathing frequency is abnormal, it plays the breathing guidance audio to adjust the breathing frequency.8.The AI-driven meditation content generation method based on biological data according to Claim 7, characterized in that:the scene colors associated with the exhalation guidance audio in the breathing guidance audio are different from the scene colors associated with the inhalation guidance audio.9.The AI-driven meditation content generation method based on biological data according to Claim 1, characterized in that:the eye mask comprises a blocking part positioned directly in front of the user's eyes and multiple LED light-emitting sections arranged around the user's eyes;when the scene colors switch, the LED light-emitting sections display the scene colors in a switching sequence from left to right, right to left, from outside to inside, or from inside to outside.10.A meditation device, characterized by comprising:a smart terminal configured to input a meditation scene and output the scene audio, the scene colors, and the scene sounds;a speaker connected to the smart terminal and configured to receive the scene audio and the scene sounds, and to present the scene audio and the scene sounds;an eye mask connected to the smart terminal and configured to receive the scene colors and to display the scene colors, wherein the scene colors correspond to the scene audio; anda smart wearable device connected to the smart terminal and configured to obtain the user's breathing frequency and transmit the breathing frequency to the smart terminal;wherein the smart terminal is further configured to adjust the playback rate of the scene audio and the scene sounds based on the breathing frequency and to adjust the switching frequency and switching direction of the scene colors.

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