White noise healing wall adjusting system fused with psychoacoustics

Abstract

The invention relates to the technical field of white noise healing, in particular to a white noise healing wall adjusting system fused with psychoacoustics, which comprises a wall device, an audio generation module, a parametric modeling module, a sensor module, a control module and an interactive feedback module. The wall body device is composed of a surface patch made of a light elastic material and an aluminum alloy frame, and a natural sound frequency curve is simulated through mechanical motion; the audio generation module extracts a natural white noise sample and accurately adjusts sound parameters in combination with a mathematical function; the parametric modeling module is used for realizing dynamic adjustment of a wall body by utilizing Grasshopper; the sensor module monitors environment and user behaviors; the interaction feedback module enhances immersion experience through multichannel surround sound and audio visualization. According to the application, by simulating natural auditory experience, dynamically changing sound elements and designing multi-sensory interaction, a user can be helped to recover attention, relieve pressure and improve sleep quality, meanwhile, personalized customization and intelligent environment adaptation are supported, and an innovative solution is provided for healing application in a building environment.

Description

Technical Field

[0001] The present invention belongs to the technical field of sound therapy and architectural environment interaction, and specifically is a white noise therapy wall adaptation system based on attention restoration theory and psychoacoustic principles. Background Art

[0002] In modern society, young people commonly face health problems such as attention fatigue, anxiety, and insomnia due to prolonged cognitive workload and high psychological pressure. Sleep disorders not only impact daytime social functioning but are also closely linked to an increased incidence of various mental illnesses, such as anxiety and depression. Chronic insomnia can also lead to the development of organic diseases such as diabetes, hypertension, and coronary heart disease. According to data released by the China Sleep Research Society, approximately 300 million people in my country suffer from sleep disorders, with 76% reporting difficulty falling asleep. Staying up late has become commonplace among young people, particularly college students, with over half of these individuals frequently or occasionally doing so. Psychological stress and electronic device use are the primary contributing factors. While medication, cognitive behavioral therapy, and non-pharmacological interventions are currently available to improve sleep quality, these approaches have limitations in practical application. For example, medications only provide short-term symptom relief, cognitive behavioral therapy requires a longer intervention period, and the effectiveness of non-pharmacological approaches varies among individuals.

[0003] White noise, a sound signal with a power spectral density uniformly distributed throughout the frequency domain, has shown significant advantages in emotional healing and improving sleep. Studies have shown that white noise can provide a relatively constant and predictable sound environment by blocking out other noises in the environment, helping to relax the body and mind, reduce anxiety, and promote sleep. However, existing white noise products and technologies are mainly mobile applications, focusing on the audio-visual experience, lacking deep integration with real-life scenarios, and have a single sound type, making it difficult to meet users' needs for diverse and personalized healing experiences. In addition, existing white noise is mostly produced by artificial recording or direct playback of natural sounds. The sound quality is easily distorted during the transmission process, making it difficult to achieve large-scale application. At the same time, white noise devices on the market also have shortcomings in terms of intelligence and interactivity. They cannot adjust the sound characteristics in real time according to environmental changes or user needs, limiting their applicability in different scenarios.

[0004] Based on the above problems, the present invention proposes a white noise healing wall adaptation system that integrates psychoacoustics, aiming to combine the core principles of Attention Restoration Theory (ART) to help users restore their attention, reduce stress, and relieve anxiety and insomnia by simulating the auditory experience of the natural environment and dynamically changing sound elements. The present invention innovatively combines the mechanical motion sound generation method with the characteristics of white noise, and uses parametric modeling technology and mathematical function control to generate white noise that approximates the frequency curve of natural sound, and enhances the spatial sense of sound through a multi-channel surround sound system. In addition, the present invention also introduces intelligent interactive design, which enables the wall to automatically adjust the type and volume of white noise according to ambient light, temperature or user behavior, thereby providing a more personalized healing experience. This system can not only be seamlessly integrated into the architectural environment and become part of the interior decoration, but can also combine multi-sensory stimulation such as light and vibration to create a richer immersive experience, solving the shortcomings of existing technologies in flexibility, adaptability and user experience. Summary of the Invention

[0005] The present invention addresses the shortcomings of existing white noise therapy products, such as single sound type, limited propagation mode, and difficulty in deep integration with the architectural environment. To this end, the present invention adopts the following technical solutions:

[0006] The present invention provides a white noise therapy wall adaptation system that integrates psychoacoustics, comprising a wall device, an audio generation module, a parametric modeling module, a sensor module, a control module, and an interactive feedback module. The wall device is composed of a surface sheet made of a lightweight elastic material, an aluminum alloy frame, and a drive motor or electromagnetic driver. The audio generation module is used to extract natural white noise samples and perform frequency analysis, combining mechanical motion to produce white noise that approximates the natural sound frequency curve. The parametric modeling module uses the Grasshopper plug-in of Rhino software to achieve fully parametric modeling of the wall and supports dynamic adjustment of the surface sheet motion pattern. The sensor module includes a sound sensor, a light sensor, and a touch sensor for monitoring the environment and user interaction behavior. The control module has a built-in control chip, a power module, and a signal processing unit, responsible for receiving sensor data and adjusting the wall movement and audio-visual output in real time. The interactive feedback module enhances the user's immersion and healing experience through a multi-channel surround sound system and audio visualization technology.

[0007] Furthermore, the audio generation module converts the time domain signal into a frequency domain signal through a fast Fourier transform (FFT), and extracts the main frequency components, bandwidth, and peak frequency to construct a Fourier series to represent its characteristics. The audio generation module obtains sound samples from a natural environment recorded by a high-sensitivity microphone, removes noise through digital signal processing technology, and screens out white noise samples that meet the target spectrum characteristics. In addition, the audio generation module can also analyze the sound types in ASMR videos, extract specific frequency components such as human voices, knocking sounds, and friction sounds, and fit dynamically changing sound elements in combination with mathematical functions.

[0008] In particular, the parametric modeling module simulates the sounds of swaying leaves and falling raindrops in nature by combining random motion and forced vibration. The parametric modeling module first uses the Grasshopper plug-in to build a wall model, divides the surface into patches, and controls the movement direction and speed of each patch through a random number generator. Furthermore, the parametric modeling module sets a periodically changing driving force to make the patches vibrate according to a specific rhythm, simulating regular natural sounds such as flowing streams and waves. The module also uses the Graph Mapper component to fit the function curve and adjust the patch motion pattern to match the spectral characteristics of the target white noise.

[0009] The wall device's surface material is polycarbonate (PC) or acrylic sheet, and the frame is aluminum alloy. The surface material is lightweight, elastic, and has excellent acoustic reflection and scattering properties, producing soft, continuous sound even with low driving force. The frame is designed in a grid pattern to evenly distribute support points, ensuring the surface remains stable during movement. Elastic rubber or silicone connectors are used between the surface and the frame to allow free movement and reduce noise caused by rigid collisions.

[0010] Furthermore, the interactive feedback module enhances the user experience through multi-sensory interaction. It integrates a multi-channel surround sound system, adjusting the volume, delay, and reverberation effects based on the sound signals generated by the movement of the mesh in different areas, enhancing the spatial perception of the sound. Furthermore, the interactive feedback module incorporates a built-in lighting or projection system that creates dynamic visual effects as the mesh moves, further enhancing the sense of immersion. Users can trigger wall movement through touch, gestures, or environmental changes, altering the sound and visual effects.

[0011] In particular, the system automatically adjusts the audio-visual mode based on sensor data: when the ambient noise is loud, the volume of white noise is increased; when the light is dim, the brightness of the light is increased. The system provides a variety of preset sound modes (such as forest, seaside, and rainy days), and users can further fine-tune the parameters to meet personalized needs. Furthermore, the drive motor or electromagnetic drive is integrated inside the frame and connected to the control chip through hidden wiring. The position of the drive device has been optimized to ensure that it can evenly provide power to each surface piece to achieve precise motion control. A control box is set at the bottom or side of the wall, with a built-in control chip, power module and signal processing unit. It communicates with external devices through wired or wireless means, receives user commands and sensor feedback signals, and realizes real-time control of wall movement and sound.

[0012] Specifically, the system uses mathematical functions and algorithms to precisely adjust parameters such as frequency and phase of white noise. For example, Fourier transforms are used to analyze and process sound signals in the frequency domain, enabling precise adjustment of parameters such as frequency and phase, creating a purer and more uniform white noise. Furthermore, the system uses genetic algorithms to optimize patch motion patterns and dynamically adjusts parameters based on user interaction data, ensuring the complexity and rhythmic diversity of the sound.

[0013] Furthermore, the flexible connectors on the wall device are designed to be made of elastic rubber or silicone, allowing the surface to move freely within a certain range while providing appropriate damping for smoother movement. The movable joints are designed with a spherical joint structure, allowing the surface to rotate freely in multiple directions, achieving a richer range of motion and thus producing a variety of sounds.

[0014] Specifically, the system utilizes a spatially layered design similar to a multi-channel surround sound system, dividing the wall panels into multiple zones based on spatial location, with each zone corresponding to a channel. Based on the distance and direction of the panels from the listener, the system adjusts the volume, delay, and reverberation of the sound, simulating the propagation and reflection of sound in space and enhancing the sense of space.

[0015] Furthermore, the system supports dynamically changing sound elements, dynamically adjusting the parameters controlling the patch's motion, such as the range of random movement, vibration frequency, and amplitude, either periodically or based on user interaction. Furthermore, the system incorporates specific event triggers. When a user approaches a wall, touches the wall, or performs specific actions, the patch's motion pattern changes, thereby engaging the user.

[0016] Specifically, the system combines sound and visuals through audio visualization technology, further enhancing the user's immersive and therapeutic experience. Based on TouchDesigner software, this audio visualization technology creates a real-time visualization experience combining audio and particle effects through programming. By inputting audio signals, mathematically mapping them to the particle system, and adjusting particle properties such as emitters, lifespan, speed, and color, unique visual effects are created that sync with the music.

[0017] The beneficial effects of the present invention are as follows: by simulating the auditory experience of a natural environment, dynamically changing sound elements, and multi-sensory interactive design, users can get closer to nature and relieve attention fatigue and psychological stress. The system uses mathematical functions and algorithms to accurately adjust the frequency, phase and other parameters of white noise to improve the healing effect. The system supports personalized customization, and users can independently adjust the volume, frequency, rhythm and other parameters of white noise according to different scenarios and needs to obtain a personalized healing experience. The system provides more intelligent environmental control by intelligently adapting to ambient light, temperature or user behavior. Through multi-sensory interactive design, the system integrates multi-sensory stimulation such as sound, light, and touch to create a richer healing experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 A comparison diagram of the original audio signal and the sine wave reconstructed signal of the present invention;

[0019] Figure 2 This is the design process and theoretical framework diagram of the present invention;

[0020] Figure 3 This is a parameterized modeling flow chart of the present invention.

[0021] The reference numerals are as follows:

[0022] 1. Original audio signal; 2. Sine wave reconstruction signal; 3. Design flow chart; 4. Theoretical framework diagram; 5. Parametric modeling process; 6. Rectangle component; 7. Brep Box component; 8. Fragments component; 9. Number Slider component; 10. Random cell; 11. Graph Mapper component. DETAILED DESCRIPTION

[0023] This invention provides a psychoacoustic white noise therapy wall adaptation system. Its core is to simulate natural environmental sounds and provide a personalized therapeutic experience through parametric modeling, mechanical motion, and multi-sensory interaction design. The following describes the specific implementation steps and operating principles of this invention in detail, combined with the specific figures in the accompanying description of the figures and the Arabic numerals of the various components in the figures.

[0024] The overall structure of the wall device includes panels, aluminum alloy frames, drive motors or electromagnetic drives, and flexible connectors. The panel material is made of polycarbonate (PC) sheets or acrylic sheets. These materials are lightweight, elastic, and have good acoustic reflection and scattering properties, and can produce soft and continuous sound with small driving force. The aluminum alloy frame adopts a grid design with evenly distributed support points to ensure that the panels remain stable during movement. The connection between the panel and the frame uses flexible connectors made of elastic rubber or silicone. This connector allows the panel to swing or rotate freely within a certain range while reducing the noise generated by rigid collisions. The movable joint adopts a spherical joint design, which enables the panel to rotate freely in multiple directions, thereby achieving richer movement effects and generating diverse sounds.

[0025] The design process of the audio generation module is as follows Figure 2 As shown in the figure, a high-sensitivity microphone is first used to record sound samples in the natural environment, such as rain, waves, birdsong, etc. After the recording is completed, digital signal processing technology is used to remove noise, and the time domain signal is converted into a frequency domain signal through fast Fourier transform (FFT). After extracting the main frequency components, bandwidth and peak frequency, a Fourier series is constructed to represent its characteristics. This process is as follows Figure 1 As shown in the figure, the original audio signal is marked as 1 and the sine wave reconstructed signal is marked as 2. In addition, the audio generation module also analyzes the sound types in ASMR videos, extracts specific frequency components such as human voices, percussion sounds, and friction sounds, and combines mathematical functions to fit dynamically changing sound elements.

[0026] The parametric modeling module is implemented based on the Grasshopper plug-in of Rhino software. The process is as follows: Figure 3 As shown. First, a rectangular plane is generated through the Rectangle component, and then converted into a solid through the Brep Box component. Then, the Fragments component is used to divide the extruded curtain wall surface into multiple small patches, and the Number Slider component controls the number of patches. The Random battery generates random numbers to control the movement direction and speed of each patch, simulating the sound of leaves shaking or grass swaying in nature. The Graph Mapper component is used to fit the function curve and adjust the patch movement pattern to match the spectral characteristics of the target white noise. The Timer battery combines mathematical operations to set a periodically changing driving force, allowing the patch to vibrate at a specific rhythm, simulating the sound of flowing streams or falling raindrops.

[0027] The sensor module includes sound sensors, light sensors, and touch sensors, which monitor ambient noise levels, light intensity, and direct user interaction, respectively. The sound sensor captures ambient noise data and transmits it to the control box. When ambient noise is high, the system automatically increases the volume of white noise to provide a soothing auditory masking effect. The light sensor detects ambient light intensity and, in dim conditions, increases lighting brightness to optimize the visual experience. The touch sensor detects user actions. For example, tapping the wall can trigger specific audiovisual feedback, such as playing a specific sound clip or changing the color of the light. The control module, which houses a control chip, power module, and signal processing unit, receives sensor data and adjusts the wall's movement and audiovisual output in real time. The drive motor or electromagnetic actuator is integrated within the frame and connected to the control chip via concealed wiring. The drive unit is optimally positioned to ensure uniform power distribution across all panels. A control box is located at the base or side of the wall, communicating with external devices via wired or wireless means, receiving user commands and sensor feedback signals to achieve real-time control of the wall's movement and sound.

[0028] The interactive feedback module enhances the user experience through a multi-channel surround sound system and audio visualization technology. The wall panels are divided into multiple zones based on their spatial location, with each zone corresponding to a channel. The volume, delay, and reverberation of the sound are adjusted based on the distance and direction of the panels from the listener's position, simulating the propagation and reflection of sound in space and enhancing the spatial perception of sound. Lighting or projection systems create dynamic visual effects as the panels move, further enhancing the sense of immersion. Users can trigger wall movement through touch, gestures, or environmental changes, altering the sound and visuals. For example, when a user approaches the wall, the system increases the speed and amplitude of the panel's movement, making the sound more dynamic and encouraging engagement.

[0029] The system supports a variety of preset sound modes, such as forest, seaside, and rainy day. Users can select a mode and fine-tune parameters according to their needs. For example, in the bedroom, a soft and soothing white noise can help with sleep; in the office, a light and refreshing white noise can improve work efficiency. Dynamically changing sound elements adjust the parameters that control the movement of the patch, such as random movement range, vibration frequency, and amplitude, periodically or in response to user interaction. Specific event triggers can be set to trigger changes in the patch's movement mode when the user approaches a wall, touches the wall, or performs specific actions.

[0030] Audio visualization technology, powered by TouchDesigner software, uses programming to create a real-time visualization experience that combines audio with particle effects. After the audio signal is input, it is mathematically mapped to a particle system, adjusting particle properties such as emitter, lifespan, speed, and color to create unique visual effects that sync with the music. For example, high-frequency sounds correspond to small, fast-moving particles, while low-frequency sounds correspond to larger, slowly floating particles, creating a dynamic image that aligns with the rhythm of the sound.

[0031] A genetic algorithm is used to optimize patch motion patterns, dynamically adjusting parameters based on user interaction data. For example, if a user remains in a certain area for an extended period, the system analyzes their preferences and adjusts the patch motion pattern to produce a sound pattern that matches their preferences. Furthermore, the system uses Fourier transforms to analyze and process sound signals in the frequency domain, precisely adjusting parameters like frequency and phase to create a purer, more uniform white noise.

[0032] This embodiment demonstrates how the above modules can work together to achieve a complete healing experience. For example, in a nighttime sleep scenario, the user starts the system and selects the "Rainy Day" preset mode. The sound sensor detects that there is slight background noise in the room, so the system automatically increases the volume of white noise. The light sensor detects that the room is dimly lit, and the light brightness is automatically increased. After the user taps the wall, the system plays a sound clip simulating thunder and flashes blue lights to create a realistic rainy night atmosphere. At the same time, the surface vibrates according to the periodic driving force, simulating the sound of falling raindrops. The user can further adjust the sound frequency and light color by touching the wall until the optimal healing state is achieved.

[0033] In the office scene, the user selects the "Forest" preset mode, and the system generates sounds similar to the wind blowing through the leaves and the birds singing. When the user approaches the wall, the speed and amplitude of the surface movement increase, and the sound becomes more active, attracting the user's attention. At this time, the user can switch to the "Focus" mode through gestures. The system generates low-frequency white noise to block external interference, and the light is adjusted to warm yellow to help users concentrate on completing work tasks. In summary, the present invention realizes the simulation of natural environment sounds and personalized healing experience through parametric modeling, mechanical movement and multi-sensory interaction design. The modules work together, and they are highly intelligent and flexible from sound generation to user interaction to meet the healing needs in different scenarios.

Claims

1. A white noise therapy wall adaptation system integrating psychoacoustics, characterized by The system includes a wall device, an audio generation module, a parametric modeling module, a sensor module, a control module and an interactive feedback module. The wall device is composed of a surface made of a lightweight elastic material, an aluminum alloy frame, a drive motor or an electromagnetic driver. The audio generation module is used to extract natural white noise samples and perform frequency analysis to combine mechanical movement to generate white noise that approximates the natural sound frequency curve. The parametric modeling module uses the Grasshopper plug-in of Rhino software to achieve full parametric modeling of the wall and supports dynamic adjustment of the surface motion mode. The sensor module includes a sound sensor, a light sensor and a touch sensor to monitor the environment and user interaction behavior. The control module has a built-in control chip, a power module and a signal processing unit to receive sensor data and adjust the wall movement and audio-visual output in real time. The interactive feedback module enhances the user's immersion through a multi-channel surround sound system and audio visualization technology.

2. The white noise therapy wall adaptation system according to claim 1, characterized in that The audio generation module converts the time domain signal into the frequency domain signal through fast Fourier transform and extracts the main frequency components, bandwidth and peak frequency to construct a Fourier series to represent its characteristics.

3. The white noise therapy wall adaptation system according to claim 2, characterized in that The audio generation module obtains sound samples from a natural environment recorded by a high-sensitivity microphone and removes noise through digital signal processing technology to screen out white noise samples that meet the target spectrum characteristics.

4. The white noise therapy wall adaptation system according to claim 1, characterized in that The parameterized modeling module simulates the sounds of leaves shaking, raindrops falling, etc. in nature by combining random motion and forced vibration.

5. The white noise therapy wall adaptation system according to claim 4, characterized in that The parametric modeling module uses the Grasshopper plug-in to build the wall model and generates random numbers through the Random battery to control the movement direction and speed of each surface.

6. The white noise therapy wall adaptation system according to claim 1, characterized in that The surface material of the wall device is polycarbonate sheet or acrylic sheet and the frame is made of aluminum alloy material.

7. The white noise therapy wall adaptation system according to claim 6, characterized in that Elastic rubber or silicone connectors are used between the face piece and the frame to allow free movement and reduce noise caused by rigid collisions.

8. The white noise therapy wall adaptation system according to claim 1, characterized in that The interactive feedback module integrates a multi-channel surround sound system and adjusts the volume, delay and reverberation effects according to the sound signals generated by the movement of the patches in different areas to enhance the spatial sense of the sound.

9. The white noise therapy wall adaptation system according to claim 1, characterized in that The drive motor or electromagnetic driver is integrated inside the frame and connected to the control chip through hidden wiring.

10. The white noise therapy wall adaptation system according to claim 1, characterized in that The system accurately adjusts parameters such as frequency and phase of white noise through mathematical functions and algorithms.

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