Health index and AI suggestion system based on intelligent ring collection
Through the combination of smart rings and AI technology, personalized health advice and management is achieved, solving the problem of the lack of in-depth data analysis of existing smart ring devices, and promoting user health management and personalized intervention.
Patent Information
- Application Number
- CN202510412084.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-02
- Publication Date
- 2025-08-08
AI Technical Summary
Existing smart ring devices lack in-depth data analysis and cannot provide personalized and real-time health advice, resulting in the health management system relying on users to actively enter data or regularly undergo physical examination reports, and lacks dynamic monitoring and intelligent analysis.
The combination of smart ring data acquisition module, AI analysis module, personalized health generation module, health intervention and real-time reminder module, health data feedback and evaluation module, user interaction module, and data storage and management module is adopted to collect health data through smart rings and combine AI technology to provide users with personalized and real-time health advice.
Personalized health management and intervention are realized, and users are encouraged to develop healthy habits through health intervention and real-time reminder modules, track and evaluate health status for a long time, and provide regular health reports to enhance users' enthusiasm for health improvement.
Smart Images

Figure CN120452656A_ABST
Abstract
Description
Technical Field
[0001] The present invention belongs to the technical field of smart wearable devices, and specifically relates to a health indicator and AI suggestion system based on data collected by a smart ring. Background Art
[0002] With the rapid development of wearable devices, smart rings have become a popular smart wearable device due to their compactness, convenience, and efficiency. By integrating multiple sensors (such as heart rate monitoring, blood oxygen detection, and pedometers), smart rings can monitor the user's physical health in real time. However, most current smart rings simply display health data and fail to provide users with targeted health recommendations through in-depth data analysis.
[0003] Current health management systems mostly rely on users actively inputting data or regular physical examination reports, but lack dynamic monitoring and intelligent analysis. Especially in terms of lifestyle intervention, users often need smarter and more personalized suggestions to help them develop healthy lifestyle habits. Therefore, we need to propose a health indicator and AI suggestion system based on smart ring collection to solve the above problems. It can combine the health data of smart rings with AI technology to provide personalized and real-time health suggestions, provide users with personalized health suggestions, and promote health management and personalized health intervention. Summary of the Invention
[0004] The purpose of this invention is to provide a health indicator and AI recommendation system based on smart ring collection, which can combine the health data of the smart ring with AI technology to provide personalized, real-time health recommendations, provide users with personalized health recommendations, promote health management and personalized health intervention, and solve the problems raised in the above background technology.
[0005] To achieve the above object, the present invention adopts the following technical solutions:
[0006] A health indicator and AI recommendation system based on smart ring collection includes: a smart ring data collection module that monitors the user's physiological data in real time and wirelessly uploads the monitored physiological data to a smartphone or cloud platform;
[0007] An AI analysis module, which pre-processes the physiological data collected by the smart ring data collection module and evaluates the user's current health status and predicts future health status based on the processed data;
[0008] A personalized health advice generation module, which sets personalized health goals for each user based on the analysis results of the AI analysis module and generates specific lifestyle intervention suggestions based on the health goals;
[0009] A health intervention and real-time reminder module, which monitors and provides real-time reminders based on the lifestyle intervention suggestions generated by the personalized health suggestion generation module;
[0010] A health data feedback and evaluation module, which generates regular health reports based on collected data to help users understand health trends. The health data feedback and evaluation module is electrically connected to the smart ring data acquisition module, AI analysis module, personalized health advice generation module, and health intervention and real-time reminder module respectively;
[0011] A user interaction module is used to provide an interactive interface for users to enhance the operability and convenience of the system;
[0012] The data storage and management module is used to store the user's health data on the cloud platform to achieve synchronization of multi-device data. The data storage and management module is electrically connected to the smart ring data acquisition module, AI analysis module, personalized health advice generation module, health intervention and real-time reminder module, and health data feedback and evaluation module.
[0013] Preferably, the smart ring data acquisition module includes a sensor array unit and a data transmission unit, and the sensor array unit is electrically connected to the data transmission unit;
[0014] The sensor array unit includes a photoelectric sensor for monitoring heart rate and blood oxygen saturation, an acceleration sensor for monitoring frequency and exercise intensity, and a gyroscope for monitoring sleep status;
[0015] The data transmission unit transmits the collected real-time health data to a smartphone or cloud platform via a Bluetooth module or a Wi-Fi module, and performs user privacy encryption protection during the data transmission process to increase the security of data transmission.
[0016] Preferably, the AI analysis module includes a data preprocessing unit, a health status assessment unit, and a prediction and trend analysis unit, and the data preprocessing unit performs denoising and smoothing on the health data collected by the user;
[0017] The health status assessment unit assesses the user's health status based on historical health data, user activity status and personal physiological parameters; the prediction and trend analysis unit predicts the user's health trend through a machine learning algorithm combined with the user's historical health data and living habits, and provides the user with a health prediction model that can assess the user's future health status, risk factors and preventive measures.
[0018] Preferably, the personalized health advice generation module includes: a health goal setting unit, which sets personalized health goals for each user based on AI analysis results;
[0019] Lifestyle intervention suggestion unit: The AI system generates specific lifestyle intervention suggestions based on health data and goals;
[0020] Dynamically adjust the suggestion unit, the system can automatically adjust the health suggestions based on the real-time monitored health data.
[0021] Preferably, the health intervention and real-time reminder module includes: a health reminder unit, which is based on the real-time monitoring results of health data. When the user's health indicators deviate from the normal range, the system can send real-time reminders to the user through a smart ring or smart phone;
[0022] A health intervention suggestion unit, configured to provide specific intervention suggestions;
[0023] The exercise and diet incentive unit sets an incentive mechanism for users, provides points or rewards, and encourages users to maintain a healthy lifestyle.
[0024] Preferably, the health data feedback and evaluation module includes a health report generation unit and a health trend evaluation unit. The health report generation unit generates regular health reports based on the collected data. The health report content includes an analysis of the user's health status, health changes over a period of time, and the implementation of health recommendations.
[0025] The health trend evaluation unit can help users understand health trends through long-term data analysis.
[0026] Preferably, the user interaction module includes an intuitive health report display unit, which provides a user interaction interface and supports viewing health data and health reports through smart phones, tablets, and PC devices. The health reports are presented in the form of charts and data visualization.
[0027] Preferably, the user interaction module also includes a voice and touch interaction unit, which interacts using a voice assistant and a touch screen, enabling users to inquire about health data, request health advice, and view health reports through voice input.
[0028] Preferably, the data storage and management module includes a data synchronization and security unit, which encrypts all data and stores the user's health data on a cloud platform.
[0029] Preferably, the data storage and management module also includes a multi-device data synchronization unit, which synchronizes all data on the cloud platform, allowing users to view and manage health data through multiple devices.
[0030] The health indicator and AI recommendation system based on smart ring collection proposed in this invention has the following advantages over the existing technology:
[0031] 1. The present invention, through the cooperation of the smart ring data acquisition module, AI analysis module, personalized health generation module, health intervention and real-time reminder module, health data feedback and evaluation module, user interaction module and data storage and management module, can combine the health data of the smart ring with AI technology to provide personalized, real-time health advice, provide users with personalized health advice, and promote health management and personalized health intervention.
[0032] 2. Through the setting of health intervention and real-time reminder modules, the present invention can set personalized health goals and incentive mechanisms. The system can motivate users to develop healthier living habits and enhance their enthusiasm for health improvement.
[0033] 3. The present invention can track and evaluate the user's health status over a long period of time, regularly generate health reports and provide optimization suggestions to help users continuously improve their health status. BRIEF DESCRIPTION OF THE DRAWINGS
[0034] Figure 1 is a system block diagram of the present invention;
[0035] Figure 2 This is a system block diagram of the smart ring data acquisition module of the present invention;
[0036] Figure 3 This is the AI analysis module system frame of the present invention;
[0037] Figure 4 This is a block diagram of the personalized health generation module system of the present invention;
[0038] Figure 5 This is a system block diagram of the health intervention and real-time reminder module of the present invention. DETAILED DESCRIPTION
[0039] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of the embodiments. The specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.
[0040] The present invention provides Figure 1-5 The health indicator and AI recommendation system based on smart ring data collection shown in the figure includes a smart ring data collection module, an AI analysis module, a personalized health generation module, a health intervention and real-time reminder module, a health data feedback and evaluation module, a user interaction module, and a data storage and management module. The smart ring data collection module monitors the user's physiological data in real time and uploads the monitored physiological data to a smartphone or cloud platform via wireless means;
[0041] The smart ring data acquisition module includes a sensor array unit and a data transmission unit, and the sensor array unit is electrically connected to the data transmission unit;
[0042] The sensor array unit includes a photoelectric sensor for monitoring heart rate and blood oxygen saturation, an acceleration sensor for monitoring frequency and exercise intensity, and a gyroscope for monitoring sleep status. A temperature sensor can also be added according to actual usage requirements to collect temperature data in real time.
[0043] The data transmission unit transmits the collected real-time health data to a smartphone or cloud platform through a Bluetooth module or a Wi-Fi module, and performs user privacy encryption protection during the data transmission process, thereby increasing the security of data transmission and facilitating the transmission of the health data collected in real time by the smart ring to the cloud platform via wireless technologies such as Bluetooth and Wi-Fi.
[0044] The AI analysis module pre-processes the physiological data collected by the smart ring data collection module and evaluates the user's current health status and predicts future health status based on the processed data;
[0045] The AI analysis module includes a data preprocessing unit, a health status assessment unit, and a prediction and trend analysis unit. The data preprocessing unit denoises and smoothes the health data collected by the user to improve the accuracy of data analysis; the health status assessment unit assesses the user's health status based on historical health data, user activity status, and personal physiological parameters (such as age, gender, basic health status, etc.). For example, based on the user's exercise data, heart rate changes, and blood oxygen levels, the user's physical health level is assessed and a health index is calculated; the prediction and trend analysis unit uses a machine learning algorithm, combined with the user's historical health data and living habits, to predict the user's health trend, and provide the user with a health prediction model that can assess the user's future health status, risk factors, and preventive measures.
[0046] The personalized health advice generation module sets personalized health goals for each user based on the analysis results of the AI analysis module, and generates specific lifestyle intervention suggestions based on the health goals;
[0047] The personalized health advice generation module includes a health goal setting unit, a lifestyle intervention advice unit and a dynamic adjustment advice unit. The health goal setting unit sets personalized health goals for each user based on the AI analysis results. Personalized health goals include exercise goals, sleep goals and dietary advice. For example, AI may set an exercise goal of 8,000 steps per day based on the user's physique and lifestyle habits, or recommend a plan to improve sleep for users with poor sleep quality; the lifestyle intervention advice unit generates specific lifestyle intervention advice based on health data and goals. Lifestyle intervention advice includes increasing walking volume, performing appropriate aerobic exercise, adjusting diet structure, improving work and rest time and increasing water intake; the dynamic adjustment advice unit can automatically adjust health advice based on real-time monitored health data. For example, if the system detects that the user's step count or exercise volume is low, the system will automatically remind the user to increase the amount of exercise; if the user's heart rate or sleep quality is abnormal, the system will recommend corresponding rest or meditation advice.
[0048] The health intervention and real-time reminder module monitors and provides real-time reminders based on the lifestyle intervention suggestions generated by the personalized health suggestion generation module;
[0049] The health intervention and real-time reminder module includes a health reminder unit, a health intervention suggestion unit and an exercise and diet incentive unit. The health reminder unit is based on the real-time monitoring results of health data. When the user's health indicators deviate from the normal range, the system can send real-time reminders to the user through a smart ring or smart phone. The reminder content includes: for example, reminding the user to exercise, drink water, and rest in time, or suggesting that the user adjust their work and rest and diet; the health intervention suggestion unit is used to provide specific intervention suggestions. For example, if it is detected that the user has insufficient steps that day, the system will prompt the user to increase walking activities; if poor sleep quality is monitored, the system will suggest that the user try meditation or adjust the sleeping environment; the exercise and diet incentive unit sets an incentive mechanism for the user, provides points or rewards, and encourages the user to maintain a healthy life.
[0050] The health data feedback and evaluation module generates regular health reports based on the collected data to help users understand health trends. The health data feedback and evaluation module is electrically connected to the smart ring data acquisition module, AI analysis module, personalized health advice generation module, and health intervention and real-time reminder module respectively;
[0051] The health data feedback and evaluation module includes a health report generation unit and a health trend evaluation unit. The health report generation unit generates regular health reports based on the collected data. The content of the health report includes an analysis of the user's health status, health changes over the past period of time, and the implementation of health recommendations; the health trend evaluation unit can help users understand health trends through long-term data analysis. For example, the system may display the user's health improvements, exercise data changes, sleep quality improvements, etc. over the past three months, to help users understand the effects of health improvements and adjust health goals when necessary.
[0052] The user interaction module is used to provide an interactive interface for users to enhance the operability and convenience of the system;
[0053] The user interaction module includes an intuitive health report display unit, which provides a user interaction interface and supports viewing health data and health reports through smartphones, tablets, and PC devices. The health report is presented in the form of charts and data visualization to help users intuitively understand their health status.
[0054] The user interaction module also includes a voice and touch interaction unit, which uses a voice assistant and a touch screen to interact, allowing users to inquire about health data, request health advice, and view health reports through voice input, thereby enhancing the operability and convenience of the system.
[0055] The data storage and management module is used to store the user's health data on the cloud platform to achieve synchronization of multi-device data. The data storage and management module is electrically connected to the smart ring data acquisition module, AI analysis module, personalized health advice generation module, health intervention and real-time reminder module, and health data feedback and evaluation module respectively.
[0056] The data storage and management module includes a data synchronization and security unit, which encrypts all data and stores the user's health data on the cloud platform to ensure the security and privacy of the data. All data encryption processing must comply with relevant privacy protection regulations.
[0057] The data storage and management module also includes a multi-device data synchronization unit, which synchronizes all data on the cloud platform, allowing users to view and manage health data through multiple devices and ensure data consistency across devices.
[0058] After being worn, the smart ring continuously collects the user's health data through sensors. The data is uploaded to the cloud platform via Bluetooth or Wi-Fi. After AI analysis, the system will generate personalized health recommendations. For example, if the user's exercise volume is insufficient, the system will remind the user to go for a morning run or walk, provide exercise recommendations and monitor implementation; if the system finds that the user's sleep quality is poor, it may recommend the user to use a meditation app or adjust the sleeping environment, and provide improvement plans; when the health status is abnormal, the smart ring can vibrate to remind the user to rest or seek medical treatment in time to avoid the deterioration of health problems;
[0059] To sum up, during personalized health management, the system analyzes the user's health data through AI technology, and can provide customized health suggestions to help users manage their own health and improve their quality of life. During health intervention and real-time feedback, the system can not only provide users with health data, but also issue health intervention suggestions in real time based on data changes, promoting the automation and intelligence of health management; the behavioral incentive mechanism is to set personalized health goals and incentive mechanisms. The system can motivate users to develop healthier living habits and enhance their enthusiasm for health improvement. The system can also track and evaluate the user's health status over a long period of time, regularly generate health reports and provide optimization suggestions to help users continuously improve their health status. Through the collaboration of the smart ring data collection module, AI analysis module, personalized health generation module, health intervention and real-time reminder module, health data feedback and evaluation module, user interaction module and data storage and management module, it can combine the health data of the smart ring with AI technology to provide personalized, real-time health suggestions, provide users with personalized health suggestions, and promote health management and personalized health intervention.
[0060] Finally, it should be noted that the above is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.
Claims
1. A health indicator and AI recommendation system based on smart ring collection, characterized by: include: A smart ring data acquisition module, which monitors the user's physiological data in real time and uploads the monitored physiological data to a smartphone or cloud platform via wireless means; An AI analysis module, which pre-processes the physiological data collected by the smart ring data collection module and evaluates the user's current health status and predicts future health status based on the processed data; A personalized health advice generation module, which sets personalized health goals for each user based on the analysis results of the AI analysis module and generates specific lifestyle intervention suggestions based on the health goals; A health intervention and real-time reminder module, which monitors and provides real-time reminders based on the lifestyle intervention suggestions generated by the personalized health suggestion generation module; A health data feedback and evaluation module, which generates regular health reports based on collected data to help users understand health trends. The health data feedback and evaluation module is electrically connected to the smart ring data acquisition module, AI analysis module, personalized health advice generation module, and health intervention and real-time reminder module respectively; A user interaction module is used to provide an interactive interface for users to enhance the operability and convenience of the system; The data storage and management module is used to store the user's health data on the cloud platform to achieve synchronization of multi-device data. The data storage and management module is electrically connected to the smart ring data acquisition module, AI analysis module, personalized health advice generation module, health intervention and real-time reminder module, and health data feedback and evaluation module.
2. The health indicator and AI recommendation system based on smart ring collection according to claim 1, characterized in that: The smart ring data acquisition module includes a sensor array unit and a data transmission unit, and the sensor array unit is electrically connected to the data transmission unit; The sensor array unit includes a photoelectric sensor for monitoring heart rate and blood oxygen saturation, an acceleration sensor for monitoring frequency and exercise intensity, and a gyroscope for monitoring sleep status; The data transmission unit transmits the collected real-time health data to a smartphone or cloud platform via a Bluetooth module or a Wi-Fi module, and performs user privacy encryption protection during the data transmission process to increase the security of data transmission.
3. The health indicator and AI recommendation system based on smart ring collection according to claim 2, characterized in that: The AI analysis module includes a data preprocessing unit, a health status assessment unit, and a prediction and trend analysis unit. The data preprocessing unit performs denoising and smoothing on the health data collected by the user; The health status assessment unit assesses the user's health status based on historical health data, user activity status and personal physiological parameters; The prediction and trend analysis unit uses a machine learning algorithm to combine the user's historical health data and living habits to predict the user's health trends and provide the user with a health prediction model that can assess the user's future health status, risk factors and preventive measures.
4. The health indicator and AI recommendation system based on smart ring collection according to claim 3, characterized in that: The personalized health advice generation module includes: a health goal setting unit, which sets personalized health goals for each user based on AI analysis results; Lifestyle intervention suggestion unit: The AI system generates specific lifestyle intervention suggestions based on health data and goals; Dynamically adjust the suggestion unit, the system can automatically adjust the health suggestions based on the real-time monitored health data.
5. The health indicator and AI recommendation system based on smart ring collection according to claim 4, characterized in that: The health intervention and real-time reminder module includes: a health reminder unit, which is based on the real-time monitoring results of health data. When the user's health indicators deviate from the normal range, the system can send real-time reminders to the user through a smart ring or smartphone; A health intervention suggestion unit, configured to provide specific intervention suggestions; The exercise and diet incentive unit sets an incentive mechanism for users, provides points or rewards, and encourages users to maintain a healthy lifestyle.
6. The health indicator and AI recommendation system based on smart ring collection according to claim 5, characterized in that: The health data feedback and evaluation module includes a health report generation unit and a health trend evaluation unit. The health report generation unit generates regular health reports based on the collected data. The health report content includes an analysis of the user's health status, health changes over the past period of time, and the implementation of health recommendations; The health trend evaluation unit can help users understand health trends through long-term data analysis.
7. The health indicator and AI recommendation system based on smart ring collection according to claim 1, characterized in that: The user interaction module includes an intuitive health report display unit, which provides a user interaction interface and supports viewing health data and health reports through smart phones, tablets, and PC devices. The health reports are presented in the form of charts and data visualization.
8. The health indicator and AI recommendation system based on smart ring collection according to claim 7, characterized in that: The user interaction module also includes a voice and touch interaction unit, which uses a voice assistant and a touch screen to interact, allowing users to inquire about health data, request health advice, and view health reports through voice input.
9. The health indicator and AI recommendation system based on smart ring collection according to claim 1, characterized in that: The data storage and management module includes a data synchronization and security unit, which encrypts all data and stores the user's health data on a cloud platform.
10. The health indicator and AI suggestion system based on smart ring collection according to claim 9, characterized in that: The data storage and management module also includes a multi-device data synchronization unit, which synchronizes all data on the cloud platform, allowing users to view and manage health data through multiple devices.