Intelligent meditation pad with monitoring function and feedback system thereof

Abstract

The invention provides an intelligent meditation pad with a monitoring function and a feedback system thereof. The intelligent meditation pad comprises a meditation pad body, a piezoelectric sensor, a Bluetooth loudspeaker, a vibration buzzer and a control module, the piezoelectric sensor is arranged in a key supporting area of the meditation pad body and used for indirectly monitoring the heart rate and the breathing frequency of a user through pressure changes. The Bluetooth loudspeaker is arranged at the edge or the bottom of the meditation pad body and is used for being wirelessly connected with intelligent equipment and playing high-quality meditation music; the vibration buzzer is integrated in the meditation pad body and used for analyzing low-frequency signals within 100 Hz in music and generating vibration synchronous with music rhythm in real time. The control module is integrated in the meditation pad body; according to the invention, organic integration of multi-dimensional meditation assisting functions such as physiological monitoring, music playing and vibration feedback is realized. The user can enjoy all-around auxiliary experience in the meditation process without using a plurality of scattered devices, so that the meditation convenience and effect are greatly improved.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent health equipment, and in particular to an intelligent meditation pad with monitoring function and a feedback system thereof. Background Art

[0002] In the fast-paced life of modern society, people are facing increasing stress and anxiety. Meditation, as an ancient and effective method of regulating body and mind, has gradually been widely accepted and applied. However, traditional meditation methods mainly rely on personal subjective feelings and experiences, and lack objective, accurate and comprehensive quantitative evaluation methods. It is difficult for meditators to know exactly the changes in their physiological and psychological states during meditation, as well as the relationship between these changes and the effects of meditation, so they cannot adjust meditation strategies in a targeted manner to improve the effects.

[0003] Although existing meditation assistive devices have attempted to solve these problems to a certain extent, they all have limitations to varying degrees. Some devices only focus on the music playback function, creating a meditation atmosphere by providing soothing music, but cannot monitor and feedback the meditator's physical state, and cannot make personalized adjustments based on individual differences and real-time status. In addition, some devices can only monitor a single physiological indicator, such as only measuring heart rate or breathing rate, and cannot comprehensively evaluate the meditation state based on multiple physiological information. Moreover, most of these devices fail to organically combine immersive experience with accurate personalized feedback, and cannot provide meditators with a complete, efficient and individual meditation assistance solution. In addition, most existing devices only focus on the realization of a single function, such as simple music playback to create an atmosphere, or only monitoring a certain physiological indicator, such as heart rate or breathing rate. The limitation of this single function makes it impossible to comprehensively analyze the meditator's state from multiple dimensions. In addition, even if some devices attempt to design comprehensive functions, they fail to effectively integrate multi-source data in the feedback link, and cannot provide accurate and personalized feedback information based on individual differences and rich monitoring data. For example, when faced with users with different physical characteristics, meditation habits, and mental states, the evaluation criteria and suggestion content cannot be adjusted dynamically, making it difficult to meet diverse user needs and unable to provide meditators with substantial and targeted meditation improvement strategies. Summary of the invention

[0004] The purpose of the present invention is to provide a smart meditation pad with a monitoring function, which integrates a piezoelectric sensor, a Bluetooth speaker, a vibration buzzer and a control module into the meditation pad body, thereby realizing the organic integration of multi-dimensional meditation auxiliary functions such as physiological monitoring, music playback, and vibration feedback. Users no longer need to use multiple scattered devices to enjoy a full range of auxiliary experiences during meditation, which greatly improves the convenience and effect of meditation. At the same time, the present invention provides a feedback system for a smart meditation pad with a monitoring function, which is specifically used for smart meditation pads with a monitoring function. By deeply integrating data collected by multiple types of sensors, intelligent analysis algorithms, and personalized feedback generation mechanisms, a comprehensive, accurate, and personally tailored meditation feedback platform is created for meditators, helping them to gain a deep understanding of their own meditation state and efficiently improve meditation effects and abilities.

[0005] In order to achieve the above object, the present invention is implemented through the following technical solution: a smart meditation mat with monitoring function, comprising:

[0006] Meditation cushion body,

[0007] A piezoelectric sensor is disposed in a key support area of ​​the meditation mat body and is used to indirectly monitor the user's heart rate and breathing rate through pressure changes;

[0008] A Bluetooth speaker, disposed at the edge or bottom of the meditation cushion body, for wirelessly connecting to a smart device and playing high-quality meditation music;

[0009] A vibration buzzer, integrated into the meditation mat body, is used to analyze low-frequency signals within 100 Hz in the music and generate vibrations synchronized with the music rhythm in real time, and the vibration intensity and frequency are automatically adjusted according to the changes in the music;

[0010] A control module is integrated inside the meditation mat body; the control module is electrically connected to the piezoelectric sensor, the Bluetooth speaker and the vibration buzzer respectively.

[0011] As a further improvement of the technical solution of the present invention, the meditation cushion body is mainly composed of an upper cover, a surround, an upper fabric, a middle fabric, a lower fabric and a bottom cover; the upper cover and the lower cover are respectively covered on the top and bottom of the surround to form a cavity for accommodating the middle fabric; the upper fabric is laid on the top of the middle fabric; the lower fabric is laid on the bottom of the middle fabric; the piezoelectric sensor, the Bluetooth speaker and the vibration buzzer are respectively installed on the middle fabric.

[0012] As a further improvement of the technical solution of the present invention, the upper cover and the bottom cover are both made of sponge.

[0013] As a further improvement of the technical solution of the present invention, the middle layer fabric is made of GT cotton.

[0014] As a further improvement of the technical solution of the present invention, the upper layer fabric and the lower layer fabric are both made of needle-punched cotton.

[0015] As a further improvement of the technical solution of the present invention, the meditation cushion body is provided with a cloth cover.

[0016] As a further improvement of the technical solution of the present invention, a leather cover is provided on the cloth cover.

[0017] As a further improvement of the technical solution of the present invention, the control module includes a physical control panel and a mobile application interface; the physical control panel is arranged on the side wall of the meditation mat body; and the control module adopts a high-performance microprocessor.

[0018] As a further improvement of the technical solution of the present invention, the number of the piezoelectric sensors and the number of the Bluetooth speakers are both two.

[0019] As a further improvement of the technical solution of the present invention, the piezoelectric sensor is arranged at the key supporting parts of the meditation cushion body corresponding to the back, buttocks and legs of the human body.

[0020] As a further improvement of the technical solution of the present invention, a feedback system of a smart meditation mat with monitoring function includes: a multi-source data acquisition and integration module, a deep data analysis and meditation state evaluation module, and a personalized feedback generation and interaction module;

[0021] The multi-source data collection and integration module includes:

[0022] A multi-type physiological data acquisition unit is used to collect the user's heart rate, breathing rate, breathing depth and pressure data related to body posture changes during meditation through the high-precision piezoelectric sensor built into the meditation mat, and to collect the conductivity change data of the skin surface using the skin galvanic response sensor, and transmit the physiological data after preliminary processing;

[0023] An environmental data acquisition unit, which is used to collect environmental data through a temperature sensor, a humidity sensor, and a noise sensor integrated in the meditation mat, and transmit the environmental data synchronously with the physiological data;

[0024] Data fusion and calibration unit, which is used to integrate physiological data and environmental data using advanced data fusion algorithms, and to perform error correction and standardization on the data of each sensor using a calibration model;

[0025] The in-depth data analysis and meditation state assessment module includes:

[0026] Physiological index dynamic analysis unit, which is used to dynamically monitor and analyze key indicators such as heart rate and respiratory rate based on the fused physiological data using time series analysis algorithms, calculate heart rate variability indicators and perform spectrum analysis on respiratory rhythm, and evaluate the trend of physiological state changes in combination with body posture data;

[0027] The environment-physiology correlation analysis unit is used to use the fusion results of environmental data and physiological data to establish a mathematical model between environmental factors and physiological indicators using a multivariate regression analysis method to quantify the impact of environmental changes on the meditator's physiological state;

[0028] The meditation state comprehensive evaluation model unit is used to build a meditation state comprehensive evaluation model based on machine learning, collect multi-source data samples and corresponding meditation effect subjective evaluation data for training, so as to automatically identify the current meditation state of the meditator based on the multi-source data collected in real time and give a quantitative evaluation score;

[0029] The personalized feedback generation and interaction module includes:

[0030] A personalized effect scoring and reporting unit is used to generate a personalized meditation effect score and a detailed meditation state analysis report based on the score of the meditation state comprehensive evaluation model, and present it to the meditator in an intuitive form;

[0031] Targeted improvement suggestion unit, which is used to provide corresponding improvement suggestions for meditators’ abnormal physiological indicators, environmental interference and body posture problems during meditation based on the in-depth analysis results of multi-source data;

[0032] Intelligent meditation plan recommendation unit, which is used to combine the meditator's historical meditation data and current meditation status assessment, and use intelligent recommendation algorithms to develop a personalized meditation plan for the meditator, and can continuously optimize according to new meditation data;

[0033] The user interface unit is used to develop a smartphone app or web platform for meditators to view feedback information, perform settings, and participate in community interactions.

[0034] As a further improvement of the technical solution of the present invention, the piezoelectric sensors in the multi-type physiological data acquisition unit are arranged in the key support areas of the meditation mat, including the head, neck, back, buttocks and leg areas of the human body.

[0035] As a further improvement of the technical solution of the present invention, the calibration model in the data fusion and calibration unit is a correlation model between heart rate data and skin electrical response data established based on a large amount of experimental data and a compensation model for changes in ambient temperature and respiratory rate.

[0036] As a further improvement of the technical solution of the present invention, the machine learning model in the meditation state comprehensive evaluation model unit is a deep neural network model.

[0037] The present invention has the following beneficial effects:

[0038] The present invention integrates a piezoelectric sensor, a Bluetooth speaker, a vibration buzzer, and a control module into the meditation mat body, realizing the organic integration of multi-dimensional meditation auxiliary functions such as physiological monitoring, music playback, and vibration feedback. Users no longer need to use multiple scattered devices to enjoy a full range of auxiliary experiences during meditation, greatly improving the convenience and effectiveness of meditation. For example, during meditation, users can play soothing music through a Bluetooth speaker, while the piezoelectric sensor monitors heart rate and breathing rate in real time, and the vibration buzzer provides tactile feedback according to the rhythm of the music, helping users to enter a more in-depth state of meditation and achieve comprehensive relaxation and adjustment of the body and mind.

[0039] The feedback system of the present invention integrates multiple types of physiological data acquisition units and environmental data acquisition units. The high-precision piezoelectric sensor collects heart rate, breathing rate, breathing depth and body posture related pressure data, and the skin galvanic response sensor obtains skin conductivity changes to reflect emotional state. Combined with environmental temperature, humidity and noise data, using advanced data fusion and calibration technology, it can comprehensively and accurately capture the meditator's physical and psychological state during meditation and the impact of the environment on it. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Other features, objects and advantages of the present invention will become more apparent from the detailed description of non-limiting embodiments made with reference to the following drawings:

[0041] Figure 1 It is a schematic diagram of the three-dimensional structure of a smart meditation mat with monitoring function according to the present invention;

[0042] Figure 2 This is a schematic diagram of the structure of a smart meditation mat with monitoring function according to the present invention;

[0043] Figure 3 This is a structural framework diagram of a smart meditation mat with monitoring function according to the present invention.

[0044] In the attached figure: 1-meditation cushion body; 2-piezoelectric sensor; 3-Bluetooth speaker; 4-vibration buzzer; 5-control module; 6-cloth cover; 7-leather cover; 11-upper cover; 12-enclosure; 13-upper fabric; 14-middle fabric; 15-lower fabric; 16-bottom cover; 71-handle; 100-feedback system; 101-multi-source data acquisition and integration module; 102-deep data analysis and meditation state evaluation module; 103-personalized feedback generation and interaction module; 1011-multi-type physiological data acquisition unit; 1012-environmental data acquisition unit; 1013-data fusion and calibration unit; 1021-physiological indicator dynamic analysis unit; 1022-environment-physiological correlation analysis unit; 1023-meditation state comprehensive evaluation model unit; 1031-personalized effect scoring and reporting unit; 1032-targeted improvement suggestion unit; 1033-intelligent meditation plan recommendation unit; 1034-user interaction interface unit. DETAILED DESCRIPTION

[0045] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments. The exemplary embodiments and descriptions of the present invention are used to explain the present invention, but are not intended to limit the present invention.

[0046] It should be noted that all directional indications in the embodiments of the present invention (such as up, down, left, right, front, back, upper end, lower end, top, bottom...) are only used to explain the relative position relationship, movement status, etc. between the components in a certain specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication will also change accordingly.

[0047] In the present invention, unless otherwise clearly defined and limited, the term "connection" should be understood in a broad sense, for example, "connection" can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements, unless otherwise clearly defined. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0048] In addition, in the present invention, the descriptions of "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or implying their relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features; in addition, the technical solutions between the various embodiments can be combined with each other, but they must be based on the ability of ordinary technicians in the field to implement them. When the combination of technical solutions is contradictory or cannot be implemented, it should be considered that such a combination of technical solutions does not exist and is not within the scope of protection required by the present invention.

[0049] The present invention is further described in detail below in conjunction with the accompanying drawings.

[0050] See also Figure 1 and Figure 2 The present invention provides a technical solution: a smart meditation mat with monitoring function, comprising:

[0051] Meditation cushion body 1,

[0052] A piezoelectric sensor 2 is disposed in a key support area of ​​the meditation mat body 1 and is used to indirectly monitor the user's heart rate and breathing rate through pressure changes;

[0053] A Bluetooth speaker 3 is disposed at the edge or bottom of the meditation cushion body 1 and is used for wirelessly connecting to a smart device and playing high-quality meditation music;

[0054] A vibration buzzer 4 is integrated in the meditation mat body 1, and is used to analyze low-frequency signals within 100 Hz in the music and generate vibrations synchronized with the music rhythm in real time, and the vibration intensity and frequency are automatically adjusted according to the changes in the music;

[0055] The control module 5 is integrated inside the meditation mat body 1; the control module 5 is electrically connected to the piezoelectric sensor 2, the Bluetooth speaker 3 and the vibration buzzer 4 respectively.

[0056] The present invention integrates a piezoelectric sensor 2, a Bluetooth speaker 3, a vibration buzzer 4, and a control module 5 into the meditation mat body 1, realizing the organic integration of multi-dimensional meditation auxiliary functions such as physiological monitoring, music playback, and vibration feedback. Users no longer need to use multiple scattered devices to enjoy a full range of auxiliary experiences during meditation, which greatly improves the convenience and effect of meditation. For example, during meditation, users can play soothing music through a Bluetooth speaker 3, while the piezoelectric sensor 2 monitors the heart rate and breathing rate in real time, and the vibration buzzer 4 provides physical tactile feedback according to the rhythm of the music, helping users to enter a more in-depth state of meditation and achieve comprehensive relaxation and adjustment of the body and mind.

[0057] Specifically, in the present embodiment, the number of the piezoelectric sensors 2 and the number of the Bluetooth speakers 3 are both two. It should be noted that the two high-precision piezoelectric sensors 2 are arranged in the key support area of ​​the meditation mat, which can accurately capture the pressure changes of the human body caused by heartbeat and breathing, thereby indirectly and accurately monitoring the user's heart rate and breathing rate. Based on these monitoring data, combined with the data analysis function of the mobile application, personalized meditation effect evaluation and feedback suggestions can be provided to users. For example, if it is monitored that the user's heart rate fluctuates greatly or the breathing rate is unstable during meditation, the application can recommend methods to adjust the breathing rhythm or replace more suitable meditation music for the user based on historical data and preset algorithms, so as to help users gradually improve their meditation state, improve the meditation effect, and achieve personalized meditation training and improvement.

[0058] It should be noted that the reasonable layout of the two Bluetooth speakers 3 at the edge or bottom of the meditation mat and its wireless connection function with smart devices provide users with a rich and diverse selection of high-quality meditation music resources, and can create a surround audio environment, making the music seem to surround from all directions, enhancing the user's auditory immersion. At the same time, the vibration effect of the vibration buzzer 4 synchronized with the rhythm of the music further stimulates the user's physical senses, allowing the user to focus more on the meditation situation under the dual effects of hearing and touch, effectively eliminating external interference, and improving the depth and quality of meditation. For example, when playing meditation music with natural sound effects, the vibration buzzer 4 can simulate the vibration feeling of a breeze blowing over the body or waves hitting the shore, echoing the sound of the wind and waves in the music, making the user feel as if they are personally on the scene and fully immersed in the atmosphere of meditation.

[0059] Specifically, in this embodiment, the meditation cushion body 1 is mainly composed of an upper cover 11, a baffle 12, an upper fabric 13, a middle fabric 14, a lower fabric 15 and a bottom cover 16; the upper cover 11 and the lower cover are respectively covered on the top and bottom of the baffle 12 to form a cavity for accommodating the middle fabric 14; the upper fabric 13 is laid on the top of the middle fabric 14; the lower fabric 15 is laid on the bottom of the middle fabric 14; the piezoelectric sensor 2, the Bluetooth speaker 3 and the vibration buzzer 4 are respectively installed on the middle fabric 14.

[0060] Specifically, in this embodiment, the upper cover 11 and the bottom cover 16 are both made of sponge. The middle layer fabric 14 is made of GT cotton. The upper layer fabric 13 and the lower layer fabric 15 are both made of needle-punched cotton. The meditation cushion body 1 is provided with a cloth cover 6. The cloth cover 6 is provided with a leather cover 7. The leather cover 7 is provided with a handle 71 for easy carrying. It should be noted that the multi-layer structure design of the meditation cushion body 1 and the careful selection of the materials of each layer provide users with a comfortable and durable use experience. The upper cover 11 and the bottom cover 16 are made of sponge material, which is soft and comfortable and has good cushioning performance and sound absorption effect, effectively reducing body pressure and reducing external noise interference. The GT cotton of the middle layer fabric 14 has excellent air permeability and moisture absorption, keeps the internal air circulation and dry, and prolongs the service life of electronic components. The needle-punched cotton of the upper layer fabric 13 and the lower layer fabric 15 has wear resistance and deformation resistance, protects the internal structure and provides a comfortable skin contact feeling. In addition, the dual protection design of the cloth cover 6 and the leather cover 7 not only increases the beauty and texture of the meditation cushion, but also effectively prevents dust, stains and minor scratches from damaging the meditation cushion, greatly improving the overall durability of the meditation cushion, enabling it to always maintain good performance and appearance during long-term use, and providing users with long-lasting and reliable meditation assistance services.

[0061] Specifically, in this embodiment, the control module 5 includes a physical control panel and a mobile application interface; the physical control panel is arranged on the side wall of the meditation mat body 1; the control module 5 adopts a high-performance microprocessor. It should be noted that the design of the control module 5 provides users with a convenient and flexible operation mode. The physical control panel is arranged on the side wall of the meditation mat body 1, which is convenient for users to perform simple basic operations during meditation without interrupting meditation to find other control devices. The mobile application interface provides users with richer and more sophisticated remote control functions. Users can adjust various parameters of the meditation mat anytime and anywhere on smart devices, such as selecting different types of meditation music according to personal preferences, accurately adjusting the music volume, sound quality, and the vibration intensity and frequency mode of the vibration buzzer 4. In addition, historical meditation records and physiological monitoring data can be viewed through the application, which is convenient for users to review and analyze their own meditation process, so as to better adjust meditation strategies and plans to meet the diverse needs of different users in different scenarios.

[0062] Specifically, in this embodiment, the piezoelectric sensor 2 is arranged at the key supporting parts of the meditation cushion body 1 corresponding to the back, buttocks and legs of the human body. The intelligent meditation cushion with monitoring function of the present invention provides users with a new and efficient meditation auxiliary device through innovative structural design, functional integration and material selection, effectively solving the problems of single function and inconvenience in use of existing meditation auxiliary devices, and has significant practicality and innovation, and has broad application prospects in the field of meditation auxiliary devices.

[0063] Reference Figure 3 Specifically, in this embodiment, a feedback system of a smart meditation mat with monitoring function, the feedback system 100 includes: a multi-source data acquisition and integration module 101, a deep data analysis and meditation state evaluation module 102 and a personalized feedback generation and interaction module 103;

[0064] The multi-source data collection and integration module 101 includes:

[0065] The multi-type physiological data acquisition unit 1011 is used to collect the user's heart rate, breathing rate, breathing depth and pressure data related to body posture changes during meditation through the high-precision piezoelectric sensor built into the meditation mat, and to collect the conductivity change data of the skin surface using the skin galvanic response sensor, and transmit the physiological data after preliminary processing;

[0066] An environmental data acquisition unit 1012 is used to collect environmental data through a temperature sensor, a humidity sensor, and a noise sensor integrated in the meditation mat, and transmit the environmental data synchronously with the physiological data;

[0067] The data fusion and calibration unit 1013 is used to integrate the physiological data and the environmental data using an advanced data fusion algorithm, and to perform error correction and standardization processing on the data of each sensor using a calibration model;

[0068] The depth data analysis and meditation state assessment module 102 includes:

[0069] The physiological index dynamic analysis unit 1021 is used to dynamically monitor and analyze key indicators such as heart rate and respiratory rate based on the fused physiological data using a time series analysis algorithm, calculate the heart rate variability index and perform spectrum analysis on the respiratory rhythm, and evaluate the trend of physiological state changes in combination with body posture data;

[0070] The environment-physiology correlation analysis unit 1022 is used to use the fusion results of the environment data and the physiological data to establish a mathematical model between environmental factors and physiological indicators using a multivariate regression analysis method to quantify the impact of environmental changes on the meditator's physiological state;

[0071] The meditation state comprehensive evaluation model unit 1023 is used to construct a meditation state comprehensive evaluation model based on machine learning, collect multi-source data samples and corresponding meditation effect subjective evaluation data for training, so as to automatically identify the current meditation state of the meditator according to the multi-source data collected in real time and give a quantitative evaluation score;

[0072] The personalized feedback generation and interaction module 103 includes:

[0073] The personalized effect scoring and reporting unit 1031 is used to generate a personalized meditation effect score and a detailed meditation state analysis report according to the score of the meditation state comprehensive evaluation model, and present it to the meditator in an intuitive form;

[0074] Targeted improvement suggestion unit 1032, for providing corresponding improvement suggestions for abnormal physiological indicators, environmental interference and body posture problems of the meditator during meditation based on the in-depth analysis results of multi-source data;

[0075] An intelligent meditation plan recommendation unit 1033 is used to combine the meditator's historical meditation data and current meditation state assessment, and use an intelligent recommendation algorithm to formulate a personalized meditation plan for the meditator, and can continuously optimize according to new meditation data;

[0076] The user interaction interface unit 1034 is used to develop a smartphone APP or a web platform for meditators to view feedback information, perform setting operations, and participate in community interaction.

[0077] It should be noted that the functions of the multi-source data collection and integration module 101 are:

[0078] Multi-type physiological data collection: The meditation mat uses the built-in high-precision piezoelectric sensor to comprehensively collect the user's heart rate, breathing rate, breathing depth, and pressure data related to changes in body posture during meditation. These data are converted into electrical signals through the sensor's high-sensitivity sensing elements, and after low-noise amplification and preliminary filtering, they are transmitted to the data integration unit. At the same time, an additional galvanic skin response sensor is equipped to monitor changes in the conductivity of the user's skin surface. This indicator can reflect the user's emotional tension and psychological arousal level, providing richer physiological dimension information for a comprehensive assessment of the meditation state.

[0079] Environmental data collection: Integrated environmental sensor components, including temperature sensors, humidity sensors, and noise sensors. Changes in temperature and humidity will affect the comfort and physiological state of the human body. For example, a high temperature and high humidity environment may make it difficult for the human body to dissipate heat, thereby affecting the heart rate and breathing; noise directly interferes with the tranquil atmosphere of meditation. These environmental data are collected synchronously with physiological data so that the role of environmental factors on the effect of meditation can be comprehensively considered in subsequent analysis.

[0080] Data fusion and calibration: Develop advanced data fusion algorithms to integrate physiological data and environmental data from different sensors. During the fusion process, use calibration models to correct errors and standardize the data of each sensor to ensure data accuracy and consistency. For example, by analyzing a large amount of experimental data, we can establish a correlation model between heart rate data and skin electrical response data, as well as a compensation model for changes in ambient temperature and respiratory rate, thereby laying a solid data foundation for subsequent accurate analysis.

[0081] Functions of the Deep Data Analysis and Meditation State Assessment Module 102:

[0082] Dynamic analysis of physiological indicators: Based on the fused physiological data, the time series analysis algorithm is used to dynamically monitor and analyze key indicators such as heart rate and respiratory rate. The heart rate variability (HRV) indicator is calculated, and the balance state of the autonomic nervous system is evaluated by analyzing the changes in the intervals between adjacent heartbeats. This is of great significance for judging the degree of psychological stress relief and the depth of relaxation of the meditator. At the same time, the spectrum analysis of the breathing rhythm is performed to extract the main components of the breathing frequency and the fluctuation characteristics of the breathing depth. Combined with the body posture data, it is judged whether the meditator is in a stable and comfortable posture. This information is combined to comprehensively evaluate the real-time change trend of the meditator's physiological state during the meditation process.

[0083] Environmental-physiological correlation analysis: The fusion results of environmental data and physiological data are used to conduct environmental-physiological correlation analysis. The multivariate regression analysis method is used to establish a mathematical model between environmental factors (temperature, humidity, noise) and physiological indicators (heart rate, respiratory rate, skin electrical response) to quantify the impact of environmental changes on the physiological state of meditators. For example, the study found that for every 1°C increase in ambient temperature, the heart rate of some meditators may increase by 3-5 times / minute. Through this correlation analysis, we can more accurately understand the interference factors of the external environment in the meditation process, and give targeted adjustment suggestions in the feedback.

[0084] Meditation state comprehensive evaluation model: Build a meditation state comprehensive evaluation model based on machine learning. Collect a large number of multi-source data samples of different meditators under various environmental conditions and the corresponding subjective evaluation of meditation effects (such as deep meditation, shallow meditation, distraction, etc.), and use these data to train a deep neural network model. The model can automatically identify the current meditation state of the meditator based on the multi-source data collected in real time, and give a quantitative evaluation score, accurately describing the meditation state at different levels from deep relaxation, moderate concentration to mild interference, and provide an objective basis for personalized feedback.

[0085] Functions of the personalized feedback generation and interaction module 103:

[0086] Personalized effect score and report: Based on the score of the meditation state comprehensive evaluation model, a personalized meditation effect score is generated for the meditator. At the same time, a detailed meditation state analysis report is generated, which includes the change curve of physiological indicators during this meditation, comparative analysis with the ideal meditation state, evaluation of the impact of environmental factors on meditation, and evaluation of meditation depth and quality based on data analysis. This report is presented to the meditator in the form of intuitive charts and text descriptions, so that he or she can clearly understand his or her performance in this meditation.

[0087] Targeted improvement suggestions: Based on the in-depth analysis results of multi-source data, highly targeted improvement suggestions are provided to meditators. If the analysis finds that the meditator's breathing rate is too fast and unstable during meditation, it is recommended that they adopt specific breathing training methods, such as slow abdominal breathing, and provide detailed breathing guidance steps and practice time recommendations. For meditation interference caused by environmental factors, such as excessive noise, it is recommended that meditators change the meditation environment or use sound insulation equipment, and provide some reference standards for selecting a suitable environment. For body posture problems, precise guidance on adjusting sitting or lying positions is provided, including suggestions for adjusting the angles and force points of various parts of the body, to help meditators improve body comfort and stability, thereby improving meditation effects.

[0088] Intelligent meditation plan recommendation: Combine the meditator's historical meditation data and current meditation state assessment, and use the intelligent recommendation algorithm to develop a personalized meditation plan for them. The plan takes into account factors including the meditator's personal goals (such as improving concentration, reducing anxiety, improving sleep, etc.), physiological characteristics (such as basal heart rate, breathing patterns, etc.), past meditation effects, and daily routines. For example, if a meditator's goal is to improve concentration and has responded well to rhythmic music assistance in previous meditations, then the recommendation plan may include selecting a specific type of meditation music with a strong sense of rhythm, setting a fixed meditation time period every day (such as after getting up in the morning), and planning a series of meditation technique exercises for concentration training, such as concentration training in mindfulness meditation. At the same time, as meditators continue to practice, the system will continue to optimize the recommendation plan based on new meditation data to adapt to their changing needs.

[0089] User interaction interface design: Develop a dedicated smartphone APP or web platform as a user interaction interface. On the interface, meditators can easily view the effect score, analysis report, improvement suggestions and personalized meditation plan of each meditation. At the same time, provide a setting function to allow meditators to adjust the data collection frequency, feedback information display method and choose the way to receive reminders (such as voice reminders, vibration reminders, etc.) according to their needs. In addition, set up a community interaction function, meditators can share their meditation experiences and exchange ideas in the community, and can also refer to other users' success stories and suggestions to further enrich the resources and methods of meditation practice.

[0090] Specifically, in this embodiment, the piezoelectric sensors in the multi-type physiological data acquisition unit 1011 are arranged in the key support areas of the meditation mat, including the head, neck, back, buttocks and leg areas of the human body.

[0091] Specifically, in this embodiment, the calibration model in the data fusion and calibration unit 1013 is a correlation model between heart rate data and skin electrical response data established based on a large amount of experimental data and a compensation model for changes in ambient temperature and respiratory rate.

[0092] Specifically, in this embodiment, the machine learning model in the meditation state comprehensive evaluation model unit 1023 is a deep neural network model.

[0093] In summary, the feedback system of the present invention integrates multiple types of physiological data acquisition units 1011 and environmental data acquisition units 1012. The high-precision piezoelectric sensor collects heart rate, respiratory rate, breathing depth and body posture related pressure data, and the skin galvanic response sensor obtains skin conductivity changes to reflect emotional state. Combined with environmental temperature, humidity and noise data, advanced data fusion and calibration technology can be used to comprehensively and accurately capture the meditator's physical and psychological state during meditation and the impact of the environment on it. For example, in an environment with high temperature, high humidity and high noise, the system can analyze the combined impact of these factors on the meditator's heart rate and breathing rate, and judge that the meditator may have difficulty entering a deep meditation state due to environmental discomfort, rather than simply misjudging the meditation effect as poor based on physiological indicators.

[0094] Calibration models built based on a large amount of experimental data, such as the heart rate and skin electrical response correlation model, the ambient temperature and breathing rate change compensation model, etc., further improve the accuracy and reliability of the data. This enables the system to more accurately identify the subtle changes in the meditator's state in different situations, providing a solid data foundation for subsequent personalized feedback, and helping meditators to gain a deeper understanding of their true state during meditation, whether it is the degree of relaxation at the physiological level or the concentration and emotional stability at the psychological level.

[0095] The targeted improvement suggestion unit 1032 provides highly targeted guidance to meditators based on the results of deep data analysis. When it is found that the meditator's breathing rate is too fast and unstable, it can accurately recommend the training method of slow abdominal breathing, and explain in detail the guidance steps and practice time recommendations to help meditators quickly adjust their breathing rhythm and enter a more relaxed state. In the case of excessive ambient noise, the system can not only prompt the meditator, but also recommend changing the meditation environment or using sound insulation equipment according to the actual situation, and provide reference standards for selecting a suitable environment, such as recommending a quiet space with noise below a certain decibel or guiding how to use curtains, carpets and other items to improve the indoor acoustic environment. For body posture problems, provide precise sitting or lying adjustment guidance, including angles and force point adjustment suggestions for various parts of the body, such as telling meditators how to adjust the curvature of the waist and neck to reduce body pressure, improve body comfort and stability, and thus improve meditation effects.

[0096] The intelligent meditation plan recommendation unit 1033 develops a personalized meditation plan based on the meditator's historical meditation data and current status assessment. Taking into account the meditator's personal goals (such as improving concentration, reducing anxiety, improving sleep, etc.), physiological characteristics (such as basal heart rate, breathing patterns, etc.), past meditation effects, and daily routines, a unique meditation path is tailored for each meditator. For example, for a user who often suffers from insomnia and meditates better at night, the plan may recommend a specific type of relaxation meditation exercise before bedtime, choose soft music that helps sleep, and adjust the intensity of breathing training according to their physiological data. As the user continues to practice, the system will continue to optimize the plan based on new data to ensure that it always fits the user's needs and progress, and achieves a gradual improvement in the meditation effect.

[0097] The meditation effect score and detailed analysis report generated by the personalized effect scoring and reporting unit 1031 are presented to the meditator in the form of intuitive charts and text. The report contains the physiological index change curve, comparative analysis with the ideal meditation state, and evaluation of the impact of environmental factors on meditation, so that the meditator can clearly see his performance during the meditation process. For example, through the heart rate change curve, the meditator can intuitively understand the fluctuation of heart rate at different stages of meditation, and whether there is any improvement compared with previous meditation data. This intuitive feedback helps meditators better understand their meditation state and progress, enhance self-awareness, and thus adjust meditation strategies more targetedly.

[0098] The convenient setting function and community interaction function provided by the user interaction interface unit 1034 further enhance the user experience. Meditators can easily adjust the frequency of data collection, the way feedback information is displayed, and choose the way to receive reminders to meet personal usage habits and preferences. The community interaction function allows meditators to share their meditation experiences, exchange ideas, and refer to other users' success stories and suggestions. For example, a meditator shared his experience in the community of improving his physical comfort and meditation effect through specific meditation posture adjustments. Other users can learn from and try to apply it to their own meditation practice, which promotes mutual learning and common growth among users, enriches the resources and methods of meditation practice, and enables meditators to feel more support and fun in the process of using the feedback system.

[0099] The entire feedback system is based on a large amount of data collection, analysis and user feedback, and can continuously optimize and innovate itself. By collecting multi-source data samples from many meditators and the corresponding subjective evaluation data of meditation effects, the comprehensive evaluation model of meditation state is continuously trained and updated so that it can adapt to the needs of different groups of people, different meditation scenarios and different meditation goals. For example, as data accumulates, the system can discover the correlation between new physiological indicators and meditation states, or optimize the environmental-physiological correlation analysis model to provide more accurate evaluation and feedback. This data-driven development model helps promote meditation from traditional empirical practice to scientific and intelligent directions, and provides new tools and methods for research and practice in the field of meditation. It is expected to promote technological progress and service quality improvement in the entire meditation industry, so that more people can benefit from scientific and effective meditation assistance.

[0100] The technical solutions provided by the embodiments of the present invention are introduced in detail above. Specific examples are used herein to illustrate the principles and implementation methods of the embodiments of the present invention. The description of the above embodiments is only applicable to help understand the principles of the embodiments of the present invention. At the same time, for those skilled in the art, according to the embodiments of the present invention, there will be changes in the specific implementation methods and application scopes. In summary, the content of this specification should not be understood as limiting the present invention.

Claims

1. A smart meditation mat with monitoring function, characterized in that: include Meditation cushion body, A piezoelectric sensor is disposed in a key support area of ​​the meditation mat body and is used to indirectly monitor the user's heart rate and breathing rate through pressure changes; A Bluetooth speaker, disposed at the edge or bottom of the meditation cushion body, for wirelessly connecting to a smart device and playing high-quality meditation music; A vibration buzzer, integrated into the meditation mat body, is used to analyze low-frequency signals within 100 Hz in the music and generate vibrations synchronized with the music rhythm in real time, and the vibration intensity and frequency are automatically adjusted according to the changes in the music; A control module is integrated inside the meditation mat body; the control module is electrically connected to the piezoelectric sensor, the Bluetooth speaker and the vibration buzzer respectively.

2. The smart meditation mat with monitoring function according to claim 1, characterized in that: The meditation cushion body is mainly composed of an upper cover, a surrounding area, an upper fabric layer, a middle fabric layer, a lower fabric layer and a bottom cover; the upper cover and the lower cover are respectively covered on the top and bottom of the surrounding area to form a cavity for accommodating the middle fabric layer; the upper fabric layer is laid on the top of the middle fabric layer; the lower fabric layer is laid on the bottom of the middle fabric layer; the piezoelectric sensor, the Bluetooth speaker and the vibration buzzer are respectively installed on the middle fabric layer.

3. The smart meditation mat with monitoring function according to claim 2, characterized in that: The upper cover and the bottom cover are both made of sponge; the middle layer fabric is made of GT cotton; the upper layer fabric and the lower layer fabric are both made of needle-punched cotton.

4. The intelligent meditation mat with monitoring function according to claim 2, characterized in that: The meditation cushion body is provided with a cloth cover; and the cloth cover is provided with a leather cover.

5. The smart meditation mat with monitoring function according to claim 1, characterized in that: The control module includes a physical control panel and a mobile application interface; the physical control panel is arranged on the side wall of the meditation mat body; and the control module adopts a high-performance microprocessor.

6. The smart meditation mat with monitoring function according to claim 1, characterized in that: The number of the piezoelectric sensors and the number of the Bluetooth speakers are both two; the piezoelectric sensors are arranged at the key supporting parts of the meditation cushion body corresponding to the back, buttocks and legs of the human body.

7. A feedback system for an intelligent meditation mat with monitoring function, characterized in that: It includes multi-source data collection and integration module, deep data analysis and meditation state assessment module, and personalized feedback generation and interaction module; The multi-source data collection and integration module includes: A multi-type physiological data acquisition unit is used to collect the user's heart rate, breathing rate, breathing depth and pressure data related to body posture changes during meditation through the high-precision piezoelectric sensor built into the meditation mat, and to collect the conductivity change data of the skin surface using the skin galvanic response sensor, and transmit the physiological data after preliminary processing; An environmental data acquisition unit, which is used to collect environmental data through a temperature sensor, a humidity sensor, and a noise sensor integrated in the meditation mat, and transmit the environmental data synchronously with the physiological data; Data fusion and calibration unit, which is used to integrate physiological data and environmental data using advanced data fusion algorithms, and to perform error correction and standardization on the data of each sensor using a calibration model; The in-depth data analysis and meditation state assessment module includes: Physiological index dynamic analysis unit, which is used to dynamically monitor and analyze key indicators such as heart rate and respiratory rate based on the fused physiological data using time series analysis algorithms, calculate heart rate variability indicators and perform spectrum analysis on respiratory rhythm, and evaluate the trend of physiological state changes in combination with body posture data; The environment-physiology correlation analysis unit is used to use the fusion results of environmental data and physiological data to establish a mathematical model between environmental factors and physiological indicators using a multivariate regression analysis method to quantify the impact of environmental changes on the meditator's physiological state; The meditation state comprehensive evaluation model unit is used to build a meditation state comprehensive evaluation model based on machine learning, collect multi-source data samples and corresponding meditation effect subjective evaluation data for training, so as to automatically identify the current meditation state of the meditator based on the multi-source data collected in real time and give a quantitative evaluation score; The personalized feedback generation and interaction module includes: A personalized effect scoring and reporting unit is used to generate a personalized meditation effect score and a detailed meditation state analysis report based on the score of the meditation state comprehensive evaluation model, and present it to the meditator in an intuitive form; Targeted improvement suggestion unit, which is used to provide corresponding improvement suggestions for meditators’ abnormal physiological indicators, environmental interference and body posture problems during meditation based on the in-depth analysis results of multi-source data; Intelligent meditation plan recommendation unit, which is used to combine the meditator's historical meditation data and current meditation status assessment, and use intelligent recommendation algorithms to develop a personalized meditation plan for the meditator, and can continuously optimize according to new meditation data; The user interface unit is used to develop a smartphone app or web platform for meditators to view feedback information, perform settings, and participate in community interactions.

8. The feedback system of the smart meditation mat with monitoring function according to claim 7, characterized in that: The piezoelectric sensors in the multi-type physiological data acquisition unit are arranged in key supporting areas of the meditation cushion, including the head, neck, back, buttocks and leg areas of the human body.

9. The feedback system of the smart meditation mat with monitoring function according to claim 7, characterized in that: The calibration model in the data fusion and calibration unit is a correlation model between heart rate data and skin electrical response data established based on a large amount of experimental data, as well as a compensation model for changes in ambient temperature and respiratory frequency.

10. The feedback system of the smart meditation mat with monitoring function according to claim 7, characterized in that: The machine learning model in the meditation state comprehensive evaluation model unit is a deep neural network model.

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