Inspiration starting and attention turning-back prompt-based personalized training system and method

Abstract

The invention relates to the technical field of intelligent health training, and discloses a personalized training system and method based on inspiration starting and attention turning-back prompt, and the system comprises four core modules: a scheme configuration and calibration module, a respiration data collection module, a core data processing module, and a man-machine interaction and feedback module. Inspiration starting and attention turn-back prompt are taken as double cores, personalized respiration data, respiration visualization and scene parameter adaptation functions are linked, four scene training schemes of pre-sleep relaxation and sleep aiding, meditation respiration calibration training, meditation immersion meditation and concentration training are designed, and low-burden and personalized meditation training meeting different time periods and different requirements is achieved. The technical problems of guidance forcing, synchronous waiting anxiety, lack of state monitoring, single interaction, insufficient scene adaptability and the like of the traditional training equipment for the positive feeling are solved.

Description

Technical Field

[0001] This invention relates to the field of intelligent health training technology, specifically to a personalized mindfulness training system and method based on inhalation initiation and attention retraction prompts. Background Technology

[0002] Mindfulness training, as an effective way to improve emotional state, enhance concentration, and aid sleep, has been widely used in daily health management, and corresponding mindfulness training equipment has gradually become more popular. However, existing mindfulness training equipment and methods still have many technical defects and cannot meet users' personalized and scenario-based training needs.

[0003] Existing mindfulness training devices mostly employ a fixed-rhythm, forced-guided mode, failing to personalize the training based on the user's individual breathing characteristics. The guided rhythm doesn't match the user's natural breathing state, easily leading to user resistance. During training, fixed cycles serve as guidance units; if the user doesn't complete the breathing according to the preset rhythm, they must passively wait for the cycle to end before guidance can restart, easily causing waiting anxiety and training frustration, significantly reducing training adherence. Furthermore, existing devices lack status monitoring functions, unable to identify users' departure from training in real time, only providing general prompts at fixed intervals. These prompts are simplistic and poorly adapted to the training scenario, failing to effectively guide users back to a training state. Moreover, most devices only support a single training mode, lacking differentiated solutions for different scenarios such as pre-sleep relaxation, daytime calibration, deep meditation, and focus warm-up. The interaction methods are limited, and the visualization and feedback mechanisms are inadequate, failing to meet the needs of users at different times and with different training goals. This results in a high barrier to entry, insufficient practicality, and poor adaptability.

[0004] In summary, there is an urgent need for a mindfulness training system and method that can achieve personalized adaptation, scenario-based guidance, real-time training restart, and accurate status prompts, in order to solve the problems of forced guidance, anxiety during synchronization, lack of status monitoring, monotonous interaction, and insufficient adaptability in existing technologies. Summary of the Invention

[0005] To address the aforementioned problems, this invention provides a personalized mindfulness training system and method based on inhalation initiation and attention reversal prompts. This system enables personalized breathing guidance, scenario-based solution adaptation, real-time training restart, and precise status prompts, thereby lowering the training threshold for users, improving training focus and standardization, and meeting the usage needs of different time periods and different training goals.

[0006] A personalized mindfulness training system based on inhalation initiation and attention retraction cues, the personalized mindfulness training system including dual core functions of inhalation initiation and attention retraction cues, and comprising:

[0007] The scheme configuration and calibration module serves as a unified user operation entry point, used for selecting four scenario-based training schemes, configuring all parameters individually, and calibrating the accuracy of the respiratory data acquisition module, providing basic setup support for system operation.

[0008] Respiratory data acquisition module: used to accurately capture relevant signals caused by the user's breathing, including distance change signals, pressure change signals, and displacement change signals of body movement, providing full data input for the realization of dual core functions;

[0009] Core data processing module: As the core of system operation, it receives and processes respiratory data transmitted by the respiratory data acquisition module, extracts effective inspiratory signals as the trigger source for each round of training, analyzes the preset guidance rules of each training scenario, monitors the training status in real time and identifies the characteristics of leaving the training state, and generates guidance, restart, feedback and control commands.

[0010] Human-computer interaction and feedback module: Used to receive instructions from the core data processing module, realize the scenario-based interactive presentation of the dual core functions of inhalation start and attention return prompt, and provide quantitative feedback on training status, thus completing two-way interaction between the user and the system.

[0011] Furthermore, the specific functions of the scheme configuration and calibration module include:

[0012] Option Selection: Four scenario-based training programs are offered, including pre-sleep relaxation and sleep aid, mindfulness breathing training, mindfulness immersion meditation, and focus training, allowing users to choose according to their training time and goals;

[0013] Parameter configuration: Users can customize corresponding parameters according to the characteristics of each training program to adapt to different user needs and usage scenarios. The parameters include basic brightness benchmark value, prompt sensitivity, training duration, background sound effect type and volume, and breathing guidance mode parameters.

[0014] Equipment calibration: Complete the accuracy calibration of the respiratory data acquisition module, eliminate the influence of environmental interference and individual differences in equipment, and ensure the accuracy of respiratory signal acquisition.

[0015] Furthermore, the specific functions of the respiratory data acquisition module include:

[0016] Signal capture: Breathing perception is achieved by capturing relevant signals caused by the user's breathing, including distance change signals, pressure change signals, and displacement change signals of body movement;

[0017] Data transmission: The captured respiratory signals are transmitted to the core data processing module in real time to ensure the timeliness and accuracy of data transmission.

[0018] Furthermore, the inhalation-initiated function is implemented through the core data processing module, and the specific logic includes:

[0019] The core data processing module receives the respiratory signal transmitted by the respiratory data acquisition module, analyzes the respiratory signal through the inhalation trigger recognition algorithm, and identifies the effective inhalation action based on the preset feature threshold.

[0020] With a valid inhalation action as the trigger source for each round of breathing guidance, the core data processing module immediately generates a breathing guidance command after detecting a valid inhalation action and transmits it to the human-computer interaction and feedback module to start the current round of breathing guidance.

[0021] During training, if the user does not complete the breathing according to the preset guided rhythm or the breathing rhythm deviates from the preset rules, there is no need to wait for the preset guided cycle to end. The core data processing module continuously monitors the user's inhalation signal in real time.

[0022] Once the core data processing module detects a new valid inhalation signal, it immediately generates a new round of breathing guidance instructions and restarts a new round of preset breathing guidance to avoid user anxiety and frustration due to synchronization failure.

[0023] Furthermore, the attention-return prompt function is implemented collaboratively through the core data processing module and the human-computer interaction and feedback module. The specific logic includes:

[0024] The core data processing module monitors the user's breathing data in real time through a breathing rhythm analysis program and identifies the corresponding disengagement characteristics based on the features of different training programs.

[0025] When the core data processing module detects that the user is out of training mode, it generates a prompt instruction that matches the selected training scheme and transmits it to the human-computer interaction and feedback module.

[0026] After receiving the prompt instruction, the human-computer interaction and feedback module issues a corresponding prompt signal according to the characteristics of the selected training program, guiding the user to refocus on breathing and return to the training state.

[0027] The sensitivity setting supports personalized configuration. Users can set a completion rate threshold m% for n consecutive rounds of breathing training or a decreasing variation threshold r% for i consecutive rounds of breathing duration to adapt to different users' training tolerance and the needs of various training programs.

[0028] Furthermore, the core data processing module also includes the following functions:

[0029] Personalized data calculation: The effective information in the breathing data is filtered through the filtering algorithm to calculate the user's personalized breathing rate in a calm state. Then, the adaptation guidance parameters are generated according to the preset rules of each training program to provide an individualized basis for breathing guidance.

[0030] Solution Logic Analysis: This section analyzes the differentiated guidance rules for the four training schemes. These differentiated guidance rules include guidance rhythm, visualization format, feedback method, and training restart logic, ensuring that the generated guidance instructions accurately match the training objectives of the schemes.

[0031] Free awareness adaptation: During the system initialization adaptation phase, the user's real-time breathing signals are analyzed to generate synchronous visual instructions, which help the user to be aware of their own breathing status and at the same time verify the calibration accuracy of the breathing data acquisition module.

[0032] Training Quantitative Evaluation: Real-time calculation of training-related indicators, including completion rate, synchronization rate, stability, and focus. After training, a comprehensive evaluation result adapted to the selected training plan is generated.

[0033] Furthermore, the specific functions of the human-computer interaction and feedback module include:

[0034] Preset guided visualization: Receives breathing guidance instructions from the core data processing module, and converts the preset inhalation, breath-holding, and exhalation rhythms into corresponding visual signals according to the characteristics of the selected training program, guiding the user to follow and complete the training;

[0035] Freedom of perception visualization: During the system initialization and adaptation phase, the user's natural breathing actions are transformed into synchronous visual signals, amplifying the user's breathing perception and enhancing device compatibility and user enjoyment;

[0036] Voice interaction assistance: In addition to the function of prompting attention back, it also provides training guidance and background sound effects playback functions according to the characteristics of the selected training program, adapting to the immersive needs of training in various scenarios;

[0037] Training status feedback: The corresponding training data is displayed in real time on the selected training program characteristics through the visualization screen. The training data includes breathing rate, breathing curve, training progress bar, and real-time score. After the training is completed, a comprehensive evaluation result and historical data comparison charts are presented. The historical data comparison charts include weekly trend charts and monthly trend charts.

[0038] Furthermore, the differentiated adaptation logic of the four training programs with the dual-core functions of inhalation initiation and attention reversal prompts is as follows:

[0039] Pre-sleep relaxation and sleep aid mode: Based on pre-collected personalized calm breathing data of the user, the inhalation duration parameter X and the exhalation duration parameter Y are set to form an XY calm breathing guidance mode and provide visual breathing guidance; optional ABC fixed breathing guidance mode is configured so that the user can quickly enter a relaxed state and achieve deep breathing before switching to the XY calm breathing guidance mode; each round of breathing guidance is triggered by inhalation; optional trigger attention return prompt when the user's breathing rate fluctuates abnormally.

[0040] Mindfulness Breathing Training Mode: The ABC fixed breathing guidance mode is adopted, and breathing is visualized and guided based on this mode. Each round of breathing guidance is triggered by inhalation. The sensitivity of attention return prompts is set according to specific thresholds, the continuous training completion rate is set, and corresponding prompt signals are issued when triggered. After the training is completed, a multi-dimensional comprehensive ability score is generated based on the core indicators related to breathing.

[0041] Mindfulness Immersion Meditation Mode: Visualizes the immersion state by switching color schemes based on the user's breathing rate; adjusts the sensitivity of attention return prompts according to specific thresholds; generates a comprehensive score based on core breathing-related indicators after training.

[0042] Focus Training Mode: Triggered by inhalation, this mode features an ABC random breathing guidance pattern with preset training difficulty levels (beginner, intermediate, and advanced). The rhythm of each round of guidance is randomly generated, and the A, B, and C parameters for each round of breathing are random values ​​within a corresponding fixed range. The sensitivity of the attention return prompt is set according to a specific threshold. After training, a comprehensive score is generated based on core breathing-related indicators.

[0043] A personalized mindfulness training method based on inhalation initiation and attention retraction cues includes the following steps:

[0044] S1, System Initialization and Protocol Calibration: Users complete the selection of training protocols, personalized parameter configuration, and accuracy calibration of the respiratory data acquisition module through the protocol configuration and calibration module;

[0045] S2, Respiratory Data Acquisition and Preprocessing: The respiratory data acquisition module captures the user's breathing-related signals in real time and transmits the signals to the core data processing module in real time. The core data processing module filters effective respiratory information through a filtering algorithm and extracts the user's personalized calm state respiratory data.

[0046] S3, Inhalation-triggered breathing guidance: The core data processing module analyzes the effective inhalation signal through the inhalation trigger recognition algorithm. The effective inhalation action is the only trigger source for each round of breathing guidance. After detecting the effective inhalation action, a breathing guidance command is immediately generated and transmitted to the human-computer interaction and feedback module.

[0047] S4, Scenario-based breathing guidance and visualization: The human-computer interaction and feedback module receives breathing guidance instructions, converts the preset breathing rhythm into corresponding visual signals according to the differentiated guidance rules of the selected training program to achieve breathing guidance, and simultaneously executes the auxiliary interactive functions exclusive to this program;

[0048] S5, Training Status Monitoring and Attention Reversion Prompt: The core data processing module monitors the user's training status in real time, accurately identifies characteristics of leaving the training state, and generates prompt instructions adapted to the solution when leaving the training state is detected. After receiving the instructions, the human-computer interaction and feedback module executes the corresponding prompt signals to guide the user back to training.

[0049] S6, Real-time Training Restart: If the user's breathing deviates from the preset rhythm during training, there is no need to wait for the preset guidance cycle to end. The core data processing module continuously monitors new effective inhalation signals in real time, and immediately generates a new round of guidance instructions to restart training upon detection.

[0050] S7, Training Quantitative Evaluation and Result Feedback: The core data processing module calculates training-related indicators in real time, generates a comprehensive evaluation result that matches the selected scheme after training, and the human-computer interaction and feedback module simultaneously presents the evaluation results and historical data comparisons to complete this round of personalized mindfulness training.

[0051] Furthermore, the core data processing module also calculates the user's personalized calm breathing frequency based on the filtered valid breathing information and generates adaptation guidance parameters according to the preset rules of the selected training program; during the system initialization adaptation phase, the optional synchronous execution of the free awareness visualization function helps the user to perceive their own breathing state and verify the calibration accuracy of the breathing data acquisition module.

[0052] Compared with the prior art, the present invention has the following beneficial effects:

[0053] 1. Solve the problem of forced guidance in traditional equipment: Generate adaptive guidance parameters based on the user's pre-collected personalized calm breathing data, and combine them with a scenario-based guidance mode to match the user's natural breathing characteristics, thereby improving training comfort and compliance;

[0054] 2. Eliminate anxiety about waiting for synchronization: With inhalation as the trigger for each training round, users do not need to wait for the cycle to end when their breathing deviates from the preset rhythm. Training can be restarted as soon as a new effective inhalation is achieved, which greatly improves training flexibility and avoids frustration.

[0055] 3. Achieve accurate status monitoring and prompts: Monitor the user's training status in real time, set differentiated attention return prompt rules for different scenarios, and make the prompt methods highly adaptable to the scenario to effectively guide the user back to training and improve training focus;

[0056] 4. Meets the needs of multiple scenarios: Four differentiated training programs cover multiple time periods such as before bed, during the day, deep relaxation, and warm-up for study and work. Each program is equipped with exclusive guidance logic, visualization and feedback mechanism to adapt to different training goals and is highly practical.

[0057] 5. Lower the barrier to entry: Simplify the operation process, support personalized parameter configuration, combine multiple interaction methods such as visualization and voice interaction, amplify the user's breathing perception, cater to the needs of both novice and experienced users, and have wide adaptability. Attached Figure Description

[0058] Figure 1 This is a schematic diagram of the system structure of the present invention.

[0059] The system includes a configuration and calibration module 101, a respiratory data acquisition module 102, a core data processing module 103, and a human-computer interaction and feedback module 104. Detailed Implementation

[0060] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0061] The embodiments provided by this invention are based on a personalized mindfulness training system with inspiratory initiation and attention retraction prompts. This system comprises a scheme configuration and calibration module 101, a respiratory data acquisition module 102, a core data processing module 103, and a human-computer interaction and feedback module 104. The hardware and software functions of each module work together to achieve the desired results. Figure 1 As shown, the specific implementation is as follows:

[0062] The scheme configuration and calibration module 101 serves as a unified user operation entry point, used for selecting four scenario-based training schemes, configuring all parameters in a personalized manner, and calibrating the accuracy of the respiratory data acquisition module 102, providing basic setting support for system operation.

[0063] Specifically, a touch screen is used as the operation entry point, with four built-in training program selection interfaces. Users can manually select training targets and a parameter configuration pop-up window is provided simultaneously, allowing customization of parameters such as basic brightness, prompt sensitivity, and training duration. A built-in calibration algorithm allows users to complete the accuracy calibration of the acquisition module by performing three standard breaths as prompted, eliminating interference from environmental and equipment differences.

[0064] Respiratory data acquisition module 102: used to accurately capture relevant signals caused by the user's breathing, including distance change signals, pressure change signals, and displacement change signals of body movement, providing full data input for the realization of dual core functions;

[0065] Specifically, a displacement sensor is used to capture the chest or abdominal movement signals caused by the user's breathing.

[0066] Core data processing module 103: As the core of system operation, it receives and processes the respiratory data transmitted by the respiratory data acquisition module 102, extracts the effective inhalation signal as the trigger source for each round of training, analyzes the preset guidance rules of each training scenario, monitors the training status in real time and identifies the characteristics of leaving the training status, and generates guidance, restart, feedback and control commands.

[0067] Specifically, it is equipped with an embedded processor, a built-in inspiratory trigger recognition algorithm and a respiratory rhythm analysis program, which analyzes respiratory data in real time, extracts the user's respiratory rate in a calm state and generates appropriate guidance parameters, while monitoring respiratory rate fluctuations, rhythm deviations and other out-of-state characteristics, and quickly generating guidance, restart and prompt instructions.

[0068] Human-computer interaction and feedback module 104: Used to receive instructions from core data processing module 103, realize the scenario-based interactive presentation of dual core functions of inhalation start and attention return prompt, and quantitative feedback of training status, and complete two-way interaction between user and system.

[0069] Specifically, it includes an LED display unit and an audio playback unit. The LED display unit realizes visualization functions such as brightness gradient and color scheme switching, while the audio playback unit supports the playback of prompts, guidance messages, and background sound effects. Training data and evaluation results are presented simultaneously on the display screen, and historical data weekly / monthly trend queries are supported.

[0070] In this embodiment, the specific functions of the scheme configuration and calibration module 101 include:

[0071] Option Selection: Four scenario-based training programs are offered, including pre-sleep relaxation and sleep aid, mindfulness breathing training, mindfulness immersion meditation, and focus training, allowing users to choose according to their training time and goals;

[0072] Parameter configuration: Users can customize corresponding parameters according to the characteristics of each training program. These parameters include, but are not limited to, basic brightness benchmark value, prompt sensitivity, training duration, background sound effect type and volume, and breathing guidance mode parameters, including inhalation duration, breath-holding duration, and exhalation duration, to adapt to different user needs and usage scenarios.

[0073] Equipment calibration: Complete the acquisition accuracy calibration of the respiratory data acquisition module 102, eliminate the influence of environmental interference and individual differences in equipment, and ensure the accuracy of respiratory signal acquisition.

[0074] In this embodiment, the respiratory data acquisition module 102 has the following specific functions:

[0075] Signal capture: Breathing perception is achieved by capturing relevant signals caused by the user's breathing. These relevant signals include, but are not limited to, distance change signals, pressure change signals, and displacement change signals of body movement.

[0076] Data transmission: The captured respiratory signals are transmitted to the core data processing module 103 in real time to ensure the timeliness and accuracy of data transmission.

[0077] In this embodiment, the inhalation start function is implemented through the core data processing module 103, and the specific logic includes:

[0078] The core data processing module 103 receives the respiratory signal transmitted by the respiratory data acquisition module 102, analyzes the respiratory signal through the inhalation trigger recognition algorithm, and identifies the effective inhalation action based on the preset feature threshold, such as signal fluctuation amplitude, signal rising edge, and signal rising rate ≥0.5V / s.

[0079] With effective inhalation as the trigger source for each round of breathing guidance, the core data processing module 103 immediately generates a breathing guidance command after detecting an effective inhalation and transmits it to the human-computer interaction and feedback module 104 to start the current round of breathing guidance.

[0080] During training, if the user does not complete breathing according to the preset guided rhythm or the breathing rhythm deviates from the preset rules, there is no need to wait for the preset guided cycle to end. The core data processing module 103 continuously monitors the user's inhalation signal in real time.

[0081] Once the core data processing module 103 detects a new valid inhalation signal, it immediately generates a new round of breathing guidance instructions and restarts a new round of preset breathing guidance to avoid user anxiety and frustration due to synchronization failure.

[0082] In this embodiment, the attention return prompt function is implemented collaboratively by the core data processing module 103 and the human-computer interaction and feedback module 104, and the specific logic includes:

[0083] The core data processing module 103 monitors the user's breathing data in real time through the breathing rhythm analysis program, and identifies the corresponding out-of-training characteristics based on the characteristics of different training programs, such as abnormal fluctuations in breathing rate, failure to follow the preset guided rhythm, and interruption of breathing signal.

[0084] When the core data processing module 103 detects that the user is out of training mode, it generates a prompt instruction that matches the selected training scheme and transmits it to the human-computer interaction and feedback module 104.

[0085] After receiving the prompt instruction, the human-computer interaction and feedback module 104 issues a corresponding prompt signal according to the characteristics of the selected training program. The prompt signal includes voice, sound effects, light, or a combination thereof, to guide the user to refocus on breathing and return to the training state.

[0086] The sensitivity setting supports personalized configuration, such as setting a completion rate threshold m% for n consecutive rounds of breathing training, or setting a threshold r% for the decreasing variation of the duration of i consecutive rounds of breathing training, to adapt to the training tolerance of different users and the needs of various training programs.

[0087] In this embodiment, the core data processing module 103 also includes the following functions:

[0088] Personalized data calculation: The effective information in the breathing data is filtered through the filtering algorithm to calculate the user's personalized breathing rate in a calm state. Then, the adaptation guidance parameters are generated according to the preset rules of each training program to provide an individualized basis for breathing guidance.

[0089] Solution Logic Analysis: This section analyzes the differentiated guidance rules for the four training schemes. These differentiated guidance rules include, but are not limited to, guidance rhythm, visualization format, feedback method, and training restart logic, ensuring that the generated guidance instructions accurately match the training objectives of the schemes.

[0090] Free awareness adaptation: During the system initialization adaptation phase, the user's real-time breathing signal is analyzed to generate synchronous visual instructions, which help the user to be aware of their own breathing status, and at the same time verify the calibration accuracy of the breathing data acquisition module 102.

[0091] Training Quantitative Evaluation: Real-time calculation of training-related indicators, including but not limited to completion rate, synchronization rate, stability, and focus. After training, a comprehensive evaluation result adapted to the selected training plan is generated.

[0092] In this embodiment, the specific functions of the human-computer interaction and feedback module 104 include:

[0093] Preset guided visualization: Receives breathing guidance instructions from the core data processing module 103, and converts the preset inhalation, breath-holding, and exhalation rhythms into corresponding visual signals according to the characteristics of the selected training program. The visual signals include, but are not limited to, brightness gradient, color scheme switching, and synchronization markers, to guide the user to complete the training.

[0094] Freedom of perception visualization: During the system initialization and adaptation phase, the user's natural breathing actions are transformed into synchronous visual signals, such as gradually brightening during inhalation and keeping the brightness constant during breath-holding, and gradually darkening during exhalation, amplifying the user's breathing perception and enhancing device compatibility and user enjoyment.

[0095] Voice interaction assistance: In addition to the function of prompting attention back, it also provides training guidance and background sound effects playback functions according to the characteristics of the selected training program, adapting to the immersive needs of training in various scenarios;

[0096] Training status feedback: The corresponding training data is displayed in real time on the selected training program characteristics through the visualization screen. The training data includes, but is not limited to, breathing rate, breathing curve, training progress bar, and real-time score. After the training is completed, a comprehensive evaluation result and historical data comparison charts are presented. The historical data comparison charts include, but are not limited to, weekly trend charts and monthly trend charts.

[0097] In this embodiment, the differentiated adaptation logic of the four training schemes and the dual core functions of inhalation initiation and attention reversal prompts is as follows: Bedtime relaxation and sleep aid mode: Based on pre-collected personalized calm breathing data of users, inhalation duration parameter X and exhalation duration parameter Y are set to form an XY calm breathing guidance mode and provide visual breathing guidance; an optional ABC fixed breathing guidance mode is configured to allow users to quickly enter a relaxed state and achieve deep breathing before switching to the XY calm breathing guidance mode; each round of breathing guidance is triggered by inhalation initiation; an optional attention reversal prompt is triggered when the user's breathing rate fluctuates abnormally.

[0098] Mindfulness Breathing Training Mode: The ABC fixed breathing guidance mode is adopted, and breathing is visualized and guided based on this mode. Each round of breathing guidance is triggered by inhalation. The sensitivity of attention return prompts is set according to specific thresholds, such as the continuous training completion rate. When triggered, a corresponding prompt signal is issued. After the training is completed, a multi-dimensional comprehensive ability score is generated based on the core indicators related to breathing.

[0099] Mindfulness Immersive Meditation Mode: Visualizes the immersive state by switching color schemes based on the user's breathing rate, such as warmer light colors as the breathing rate decreases; Sets the sensitivity of attention return prompts according to specific thresholds, such as the threshold for the variation in continuous breathing duration, and issues corresponding prompt signals when triggered; Generates a comprehensive score based on core breathing-related indicators after training.

[0100] Focus Training Mode: Triggered by inhalation, this mode features an ABC random breathing guidance pattern with preset training difficulty levels (beginner, intermediate, and advanced). The rhythm of each round of guidance is randomly generated, and the A, B, and C parameters for each round of breathing are random values ​​within a corresponding fixed range. The sensitivity of attention return prompts is set according to specific thresholds, such as the continuous training completion rate, and corresponding prompt signals are issued when triggered. After training, a comprehensive score is generated based on core breathing-related indicators.

[0101] In this embodiment, the four training schemes of the personalized mindfulness training system are implemented as follows:

[0102] Pre-sleep relaxation and sleep aid mode: After the user selects the mode, the system retrieves pre-collected personalized calm breathing data and automatically generates an XY calm breathing guidance mode with inhalation duration X and exhalation duration Y. The user can choose the ABC fixed breathing guidance mode for quick relaxation, and the mode will automatically switch to the XY calm breathing mode after the transition is complete. Each round of guidance is triggered by effective inhalation, and the LED unit provides visual guidance with a gradual change in brightness in a warm color scheme. For example, when the user inhales, the light gradually brightens and remains constant; when the user holds their breath, the light gradually dims; when the user exhales, the light gradually dims. When the breathing rate fluctuates abnormally, the audio unit plays the sound of running water and a gentle whisper prompt, and automatically turns off after 30 minutes.

[0103] Mindfulness Breathing Training Mode: Activates the ABC fixed breathing guidance mode, allowing users to customize inhalation time (2-6 seconds), breath-holding time (0-3 seconds), and exhalation time (4-8 seconds). Effective inhalation triggers each round of guidance, with the LED unit providing visual guidance through a warm-toned brightness gradient. For example, when the user inhales, the light gradually brightens; when the user holds their breath, the light gradually dims; and when the user exhales, the system sets the prompt sensitivity based on a three-round completion rate threshold. A neutral electronic tone is played upon triggering, and the completion rate is displayed for each round. At the end of training, a three-dimensional score is generated for synchronization rate, stability, and focus, supporting historical data comparison.

[0104] Mindfulness Immersive Meditation Mode: The LED unit switches color schemes in sync with the breathing frequency, ranging from cool colors ≥10 times / minute, neutral colors 8-10 times / minute, to warm colors ≤8 times / minute, with brightness gradually changing in sync with breathing; the prompt sensitivity is set according to the threshold of decreasing variation in the duration of 3 consecutive breathing cycles, and when triggered, it switches to neutral colors for 3 seconds with silent correction; a 5-minute pre-training introductory speech can be activated; at the end of training, a score of 0-100 is generated based on the proportion of warm colors, breathing stability, and the number of prompts.

[0105] Focus Training Mode: Inhalation triggers an ABC random breathing guidance mode with three preset difficulty levels: beginner, intermediate, and advanced. The rhythm is randomly generated for each round. Effective inhalation triggers each round of guidance, and the LED unit provides visual guidance with a warm-colored brightness gradient. For example, when the user inhales, the light gradually brightens and then remains constant; when the user holds their breath, the light gradually dims; when the user exhales, a short beep is triggered if the completion rate is less than 60% for three consecutive rounds. The training duration is fixed at 5 / 8 / 10 minutes, with only two modes available: no sound effect and white noise. At the end of the training, a score of 0-100 is generated based on the completion rate and the number of prompts.

[0106] In another embodiment, a personalized mindfulness training method based on inhalation initiation and attention retraction cues is also provided, including the following steps:

[0107] S1, System initialization and protocol calibration: The user completes the selection of training protocol, configuration of personalized parameters and accuracy calibration of respiratory data acquisition module 102 through protocol configuration and calibration module 101;

[0108] S2, Respiratory data acquisition and preprocessing: The respiratory data acquisition module 102 captures the user's breathing-related signals in real time and transmits the signals to the core data processing module 103 in real time. The core data processing module 103 filters effective respiratory information through a filtering algorithm and extracts the user's personalized calm state respiratory data.

[0109] S3, Inhalation triggers breathing guidance: The core data processing module 103 analyzes the effective inhalation signal through the inhalation trigger recognition algorithm. The effective inhalation action is the only trigger source for each round of breathing guidance. After detecting the effective inhalation action, it immediately generates a breathing guidance command and transmits it to the human-computer interaction and feedback module 104.

[0110] S4, Scenario-based breathing guidance and visualization: The human-computer interaction and feedback module 104 receives breathing guidance instructions, converts the preset breathing rhythm into corresponding visual signals according to the differentiated guidance rules of the selected training program to achieve breathing guidance, and simultaneously executes the auxiliary interactive functions exclusive to the program.

[0111] S5, Training Status Monitoring and Attention Reversion Prompt: The core data processing module 103 monitors the user's training status in real time, accurately identifies characteristics of leaving the training status, and generates prompt instructions that are adapted to the solution when leaving the training status is detected. The human-computer interaction and feedback module 104 receives the instructions and executes the corresponding prompt signals to guide the user back to training.

[0112] S6, Real-time Training Restart: If the user's breathing deviates from the preset rhythm during training, there is no need to wait for the preset guidance cycle to end. The core data processing module 103 continuously monitors new effective inhalation signals in real time, and immediately generates a new round of guidance instructions to restart training upon detection.

[0113] S7, Training Quantitative Evaluation and Result Feedback: The core data processing module 103 calculates training-related indicators in real time, generates a comprehensive evaluation result that matches the selected scheme after training, and the human-computer interaction and feedback module 104 presents the evaluation result and historical data comparison simultaneously, completing this round of personalized mindfulness training.

[0114] In another embodiment, the core data processing module 103 also calculates the user's personalized calm breathing frequency based on the filtered effective breathing information and generates adaptation guidance parameters according to the preset rules of the selected training program; during the system initialization adaptation phase, the optional synchronous execution of the free awareness visualization function assists the user in perceiving their own breathing state and verifying the calibration accuracy of the breathing data acquisition module 102.

[0115] Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A personalized mindfulness training system based on inhalation initiation and attention retraction cues, characterized in that: The personalized mindfulness training system includes dual core functions: inhalation initiation and attention retraction prompts, and includes: The scheme configuration and calibration module (101) serves as a unified entry point for user operations. It is used for selecting four scenario-based training schemes, configuring all parameters in a personalized manner, and calibrating the accuracy of the respiratory data acquisition module (102), providing basic setup support for system operation. Respiratory data acquisition module (102): used to accurately capture relevant signals caused by the user's breathing, including distance change signals, pressure change signals, and displacement change signals of body movement, providing full data input for the realization of dual core functions; Core data processing module (103): As the core of system operation, it receives and processes the respiratory data transmitted by the respiratory data acquisition module (102), extracts the effective inhalation signal as the trigger source for each round of training, analyzes the preset guidance rules of each training scenario, monitors the training status in real time and identifies the characteristics of leaving the training status, and generates guidance, restart, feedback and control instructions. Human-computer interaction and feedback module (104): Used to receive instructions from the core data processing module (103), realize the scenario-based interactive presentation of the dual core functions of inhalation start and attention return prompt, and quantitative feedback of training status, and complete the two-way interaction between the user and the system.

2. The personalized mindfulness training system based on inhalation initiation and attention retraction cues according to claim 1, characterized in that: The specific functions of the scheme configuration and calibration module (101) include: Option Selection: Four scenario-based training programs are offered, including pre-sleep relaxation and sleep aid, mindfulness breathing training, mindfulness immersion meditation, and focus training, allowing users to choose according to their training time and goals; Parameter configuration: Users can customize corresponding parameters according to the characteristics of each training program to adapt to different user needs and usage scenarios. The parameters include basic brightness benchmark value, prompt sensitivity, training duration, background sound effect type and volume, and breathing guidance mode parameters. Equipment calibration: Complete the acquisition accuracy calibration of the respiratory data acquisition module (102), eliminate the influence of environmental interference and individual differences of equipment, and ensure the accuracy of respiratory signal acquisition.

3. The personalized mindfulness training system based on inhalation initiation and attention retraction cues according to claim 1, characterized in that: The specific functions of the respiratory data acquisition module (102) include: Signal capture: Breathing perception is achieved by capturing relevant signals caused by the user's breathing, including distance change signals, pressure change signals, and displacement change signals of body movement; Data transmission: The captured respiratory signals are transmitted to the core data processing module (103) in real time to ensure the timeliness and accuracy of data transmission.

4. The personalized mindfulness training system based on inhalation initiation and attention retraction cues according to claim 1, characterized in that: The inhalation start function is implemented through the core data processing module (103), and the specific logic includes: The core data processing module (103) receives the respiratory signal transmitted by the respiratory data acquisition module (102), analyzes the respiratory signal through the inhalation trigger recognition algorithm, and identifies the effective inhalation action based on the preset feature threshold. With effective inhalation as the trigger source for each round of breathing guidance, the core data processing module (103) immediately generates a breathing guidance command after detecting an effective inhalation and transmits it to the human-computer interaction and feedback module (104) to start the current round of breathing guidance. During training, if the user does not complete breathing according to the preset guided rhythm or the breathing rhythm deviates from the preset rules, there is no need to wait for the preset guided cycle to end. The core data processing module (103) continuously monitors the user's inhalation signal in real time. Once the core data processing module (103) detects a new valid inhalation signal, it immediately generates a new round of breathing guidance instructions and restarts a new round of preset breathing guidance to avoid users experiencing waiting anxiety and frustration due to synchronization failure.

5. The personalized mindfulness training system based on inhalation initiation and attention retraction cues according to claim 1, characterized in that: The attention return prompt function is implemented collaboratively by the core data processing module (103) and the human-computer interaction and feedback module (104). The specific logic includes: The core data processing module (103) monitors the user's breathing data in real time through the breathing rhythm analysis program and identifies the corresponding disengagement characteristics based on the characteristics of different training programs. When the core data processing module (103) detects that the user is out of training mode, it generates a prompt instruction that is adapted to the selected training scheme and transmits it to the human-computer interaction and feedback module (104). After receiving the prompt instruction, the human-computer interaction and feedback module (104) issues the corresponding prompt signal according to the characteristics of the selected training program to guide the user to refocus on breathing and return to the training state; The sensitivity setting supports personalized configuration. Users can set a completion rate threshold m% for n consecutive rounds of breathing training or a decreasing variation threshold r% for i consecutive rounds of breathing duration to adapt to different users' training tolerance and the needs of various training programs.

6. The personalized mindfulness training system based on inhalation initiation and attention retraction cues according to claim 1, characterized in that: The core data processing module (103) also includes the following functions: Personalized data calculation: The effective information in the breathing data is filtered through the filtering algorithm to calculate the user's personalized breathing rate in a calm state. Then, the adaptation guidance parameters are generated according to the preset rules of each training program to provide an individualized basis for breathing guidance. Solution Logic Analysis: This section analyzes the differentiated guidance rules for the four training schemes. These differentiated guidance rules include guidance rhythm, visualization format, feedback method, and training restart logic, ensuring that the generated guidance instructions accurately match the training objectives of the schemes. Free awareness adaptation: During the system initialization adaptation phase, the user's real-time breathing signal is analyzed to generate synchronous visual instructions, which help the user to be aware of their own breathing state and at the same time verify the calibration accuracy of the breathing data acquisition module (102). Training Quantitative Evaluation: Real-time calculation of training-related indicators, including completion rate, synchronization rate, stability, and focus. After training, a comprehensive evaluation result adapted to the selected training plan is generated.

7. The personalized mindfulness training system based on inhalation initiation and attention retraction cues according to claim 1, characterized in that: The specific functions of the human-computer interaction and feedback module (104) include: Preset guided visualization: Receives breathing guidance instructions from the core data processing module (103), converts the preset inhalation, breath-holding, and exhalation rhythms into corresponding visual signals according to the characteristics of the selected training program, and guides the user to follow and complete the training. Freedom of perception visualization: During the system initialization and adaptation phase, the user's natural breathing actions are transformed into synchronous visual signals, amplifying the user's breathing perception and enhancing device compatibility and user enjoyment; Voice interaction assistance: In addition to the function of prompting attention back, it also provides training guidance and background sound effects playback functions according to the characteristics of the selected training program, adapting to the immersive needs of training in various scenarios; Training status feedback: The corresponding training data is displayed in real time on the selected training program characteristics through the visualization screen. The training data includes breathing rate, breathing curve, training progress bar, and real-time score. After the training is completed, a comprehensive evaluation result and historical data comparison charts are presented. The historical data comparison charts include weekly trend charts and monthly trend charts.

8. The personalized mindfulness training system based on inhalation initiation and attention retraction cues according to claim 1, characterized in that: The differentiated adaptation logic of the four training programs and the dual-core functions of inhalation initiation and attention return prompts is as follows: Pre-sleep relaxation and sleep aid mode: Based on pre-collected personalized calm breathing data of the user, the inhalation duration parameter X and the exhalation duration parameter Y are set to form an XY calm breathing guidance mode and provide visual breathing guidance; optional ABC fixed breathing guidance mode is configured so that the user can quickly enter a relaxed state and achieve deep breathing before switching to the XY calm breathing guidance mode; each round of breathing guidance is triggered by inhalation; optional trigger attention return prompt when the user's breathing rate fluctuates abnormally. Mindfulness Breathing Training Mode: The ABC fixed breathing guidance mode is used, and breathing is visualized and guided based on this mode; each round of breathing guidance is triggered by inhalation. Set the sensitivity of the attention return prompt according to a specific threshold, the continuous training completion rate, issue a corresponding prompt signal when triggered, and generate a multi-dimensional comprehensive ability score based on respiratory-related core indicators after training. Mindfulness Immersion Meditation Mode: Visualizes the immersion state by switching color schemes based on the user's breathing rate; adjusts the sensitivity of attention return prompts according to specific thresholds; generates a comprehensive score based on core breathing-related indicators after training. Focus Training Mode: Triggered by inhalation, this mode features an ABC random breathing guidance pattern with preset training difficulty levels (beginner, intermediate, and advanced). The rhythm of each round of guidance is randomly generated, and the A, B, and C parameters for each round of breathing are random values ​​within a corresponding fixed range. The sensitivity of the attention return prompt is set according to a specific threshold. After training, a comprehensive score is generated based on core breathing-related indicators.

9. A personalized mindfulness training method based on inhalation initiation and attention retraction cues, characterized in that, The personalized mindfulness training system based on inhalation initiation and attention retraction cues as described in any one of claims 1-8 includes the following steps: S1, System initialization and scheme calibration: The user completes the selection of training scheme, configuration of personalized parameters and accuracy calibration of respiratory data acquisition module (102) through scheme configuration and calibration module (101); S2, Respiratory data acquisition and preprocessing: The respiratory data acquisition module (102) captures the user's breathing-related signals in real time and transmits the signals to the core data processing module (103) in real time. The core data processing module (103) filters effective respiratory information through a filtering algorithm and extracts the user's personalized calm state respiratory data. S3, Inhalation triggers breathing guidance: The core data processing module (103) analyzes the effective inhalation signal through the inhalation trigger recognition algorithm, takes the effective inhalation action as the only trigger source for each round of breathing guidance, and immediately generates a breathing guidance command after detecting the effective inhalation action, and transmits it to the human-computer interaction and feedback module (104). S4, Scenario-based breathing guidance and visualization: The human-computer interaction and feedback module (104) receives breathing guidance instructions, and according to the differentiated guidance rules of the selected training program, converts the preset breathing rhythm into the corresponding visualization signal to achieve breathing guidance, and simultaneously executes the auxiliary interaction function exclusive to the program. S5, Training Status Monitoring and Attention Reversion Prompt: The core data processing module (103) monitors the user's training status in real time, accurately identifies the characteristics of leaving the training status, and generates prompt instructions that are adapted to the scheme when the user leaves the training status. The human-computer interaction and feedback module (104) receives the instruction and executes the corresponding prompt signal to guide the user back to training. S6, Real-time Training Restart: During training, if the user's breathing deviates from the preset rhythm, there is no need to wait for the preset guidance cycle to end. The core data processing module (103) continuously monitors new effective inhalation signals in real time. Once detected, a new round of guidance instructions is generated to restart the training. S7, Training Quantitative Evaluation and Result Feedback: The core data processing module (103) calculates training-related indicators in real time, generates a comprehensive evaluation result that matches the selected scheme after training, and the human-computer interaction and feedback module (104) presents the evaluation results and historical data comparison in sync, completing this round of personalized mindfulness training.

10. The personalized mindfulness training method based on inhalation initiation and attention retraction cues according to claim 9, characterized in that: The core data processing module (103) also calculates the user's personalized calm breathing frequency based on the filtered effective breathing information and generates adaptation guidance parameters according to the preset rules of the selected training program; the optional synchronous execution of the free awareness visualization function during the system initialization adaptation stage helps the user to perceive their own breathing state and verify the calibration accuracy of the breathing data acquisition module (102).

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