Multi-mode spine health management device and system based on AI Agent and game interaction platform

Abstract

The invention discloses a multi-mode spine health management device and system based on an AI Agent and a game interaction platform, through an AI Agent module, personalized exercise prescriptions are generated according to health data of teenagers, and intelligent services of'one person, one spine and one prescription, and thousands of persons and thousands of faces of exercise libraries' are realized. According to the personalized health management mode, the scoliosis prevention and correction effect can be effectively improved, and it is ensured that each user can obtain the most suitable exercise scheme. The spine state and motion data of a user are monitored in real time through intelligent hardware, and instant feedback is provided. The exercise prescription is dynamically adjusted according to the real-time performance of the user, and the continuity and progress of the training effect are ensured. Spine health management is converted into gamification experience, so that the participation willingness and persistence of teenagers are remarkably improved. The participation degree of the user is improved, and the spine health is gradually improved in a relaxed and pleasant environment.

Description

Technical Field

[0001] This invention belongs to the field of prevention and exercise rehabilitation technology of AIS (Adolescent Idiopathic Scoliosis), specifically involving a multimodal spinal health management device, system and game interaction platform based on AI Agent. Background Technology

[0002] AIS's prevention and rehabilitation training product and service system is experiencing rapid development. Current technological advancements primarily focus on screening, treatment, and rehabilitation. In screening, traditional X-ray examinations rely on radiation; while highly accurate, they pose certain risks to adolescent health. In recent years, radiation-free detection devices have emerged, such as whole-body 3D imaging systems (EOS) and portable scanners. These technologies avoid the health risks of radiation through rapid scanning and precise imaging, while providing a more comprehensive assessment of spinal health. Furthermore, digital tools and remote rehabilitation services are gradually entering this field. With the help of smart wearable devices and remote monitoring, personalized rehabilitation plans can be provided, enabling rehabilitation tracking and adjustments anytime, anywhere.

[0003] Future technological development trends will primarily focus on technological innovation and the standardization of treatment protocols. With the continuous advancement of artificial intelligence and big data analytics, intelligent screening tools are expected to improve the accuracy and efficiency of diagnosis, especially in early screening. Big data can be used to predict the occurrence of scoliosis and provide personalized prevention recommendations. Furthermore, the adoption of non-invasive, radiation-free testing methods will become an industry trend, significantly reducing the potential health risks of examinations for adolescents. In terms of treatment and rehabilitation, as the industry's requirements for the consistency and reliability of treatment outcomes increase, the development of standardized treatment protocols will be a crucial future direction. Whether in the research and development of braces, the implementation of exercise therapy, or the promotion of digital rehabilitation programs, standardization will ensure that every patient receives scientific and efficient treatment. Simultaneously, the standardization of the quality of treatment products such as braces will promote the standardization of market products and improve the uniformity of treatment effects.

[0004] However, in current treatments, braces are still widely used as a traditional treatment method, but the standards for brace products on the market are not uniform, and their efficacy varies, leading to unstable treatment results. Exercise therapy, as an adjunct, has been used in some treatment plans, but due to the lack of unified standards and norms, treatment methods vary significantly between different hospitals and rehabilitation centers, resulting in inconsistent effects. This leads to problems such as insufficient professional customized guidance, lack of effectiveness feedback, and low sustained user engagement. Summary of the Invention

[0005] The technical problem to be solved by the present invention is to provide a multimodal spinal health management device, system and game interaction platform based on AI Agent, which solves the problems of insufficient professional customized guidance, lack of effectiveness feedback and low user continuous participation in the existing spinal health program for teenagers.

[0006] To solve the above-mentioned technical problems, the present invention adopts the following technical solution:

[0007] A spinal health management device includes a waist belt, an intelligent detection module, a vibration feedback module, and a communication module; wherein the intelligent detection module and the vibration feedback module are disposed in the waist belt; the intelligent detection module includes a motion sensor for real-time detection of the wearer's spinal status; the vibration feedback module is used to analyze the wearer's posture and provide data feedback, and to issue prompt information through the actuator in the vibration feedback module; the communication module is used to interact with a remote monitoring terminal.

[0008] It also includes an air recognition module set on the belt to detect the air environment in which the wearer is located.

[0009] The vibration feedback module has an adaptive adjustment function, which automatically adjusts the vibration intensity of the actuator based on the wearer's real-time motion data and posture feedback.

[0010] The spinal health management system includes the aforementioned spinal health management device and a monitoring terminal APP that interacts with the spinal health management device. The monitoring terminal APP includes a data processing and analysis module and an information output and service implementation module. The data processing and analysis module preprocesses pre-collected multi-dimensional data to construct a spinal health assessment and AIS risk prediction model. Based on the prediction results output by the spinal health assessment and AIS risk prediction model, it generates an exercise prescription. The information output and service implementation module is used to visualize the exercise prescription and output analysis reports to associated accounts.

[0011] It also includes a data collection and input module, in which data collection includes basic health information of adolescents, data related to spinal health, family health background data, data on the attributes of adolescents' daily activities, and location and environmental information; the data input module includes a database and an input interface.

[0012] The data processing and analysis module adopts the AI ​​Agent module, which forms a closed loop through data-driven processes. The components of the closed loop include multi-dimensional data input, AI analysis, output exercise prescriptions, and interactions among multiple participants.

[0013] The closed-loop implementation process of the AI ​​Agent module is as follows:

[0014] For prediction and planning, the AI ​​Agent uses deep learning algorithms, historical data analysis and exercise habits to build an AI model for spinal health assessment and AIS risk prediction for adolescent users.

[0015] Personalized exercise prescriptions are generated by using AI models to predict factors such as the spinal health status of adolescents, their daily activity types, and postural problems. Based on the prediction results, a unique exercise plan including corrective exercises, preventive exercises, and adaptive training is obtained, thus generating a personalized exercise prescription.

[0016] The feedback mechanism adjusts and optimizes the generated exercise prescriptions in real time based on the actual exercise performance of adolescent users.

[0017] The interactive game platform for spinal health management includes a game interface, game elements, game characters, and a backend data platform. Users set up game characters through the game interface, complete corresponding game tasks according to the rewards and storylines set in the game elements, and the backend data platform associates the game tasks with the exercise prescriptions generated in the spinal health management system and the actuators in the spinal health management device, and completes the real-time transmission of data.

[0018] The design method for the interactive game is as follows:

[0019] On the backend data platform, firstly, the exercise prescription is broken down into a series of specific actions, and each action is transformed into a gamified task and integrated into the virtual storyline; secondly, the rewards for completing each task are matched and associated; then, each task is associated with the intelligent detection module and vibration feedback module of the spinal health management device; finally, the real-time feedback information is associated with light effects, sound effects, and voice stories to achieve the final exercise prescription task.

[0020] The game character settings include setting up a single-player mode for the user, a mode for the user to battle against AI, and a mode for the user to team up with friends.

[0021] Compared with the prior art, the present invention has the following beneficial effects:

[0022] 1. Personalized Health Management: Through the AI ​​Agent module, the system can generate personalized exercise prescriptions based on adolescents' health data, achieving intelligent services with "one prescription per person, and a personalized exercise library for every individual." This personalized health management approach can effectively improve the prevention and correction of scoliosis, ensuring that each user receives the most suitable exercise plan.

[0023] 2. Real-time Feedback and Dynamic Adjustment: The system uses smart hardware (such as a defined "golden belt") to monitor the user's spinal condition and movement data in real time, providing immediate feedback (such as vibration and sound cues). This real-time feedback mechanism helps users correct poor posture promptly, preventing further deterioration of spinal problems. Simultaneously, the system can dynamically adjust the exercise prescription based on the user's real-time performance, ensuring the continuity and progress of training effects.

[0024] 3. Gamification Enhances Engagement: By transforming spinal health management into a gamified experience, the system significantly increased teenagers' willingness and persistence to participate. Virtual IP characters (such as "Master Monkey") and gamified task design (such as "secret manuals") made the health management process fun and challenging, enhancing user immersion and interactivity. This design not only increased user engagement but also helped them gradually improve their spinal health in a relaxed and enjoyable environment.

[0025] 4. Multi-scenario Collaboration and Resource Sharing: By collaborating with resources from families, schools, and communities, a comprehensive health management ecosystem is built. Users can receive continuous health management support in different scenarios (such as family, school, and community) and obtain more comprehensive health advice through data sharing. This multi-scenario collaboration mechanism not only improves the convenience of health management but also enhances users' health awareness and sense of participation.

[0026] 5. Data-Driven Closed-Loop System: Early warning and prevention of scoliosis are achieved through a data-driven closed-loop system. The AI ​​Agent module can perform real-time analysis and dynamic adjustments based on multi-dimensional data (such as health information, activity data, and environmental information) to ensure the scientific validity and effectiveness of treatment plans. This data-driven closed-loop system not only improves the accuracy and efficiency of health management but also provides real-time feedback and decision support for all stakeholders (such as families, schools, medical institutions, and governments).

[0027] 6. Privacy Protection and Security: During data collection, storage, and processing, we strictly adhere to data privacy regulations (such as GDPR and domestic data protection laws) to ensure the security and privacy of user data. Through fine-grained access control and permission management, the system effectively prevents data leakage and misuse, safeguarding user information security.

[0028] 7. Long-term tracking and continuous optimization: Through long-term data accumulation and AI optimization, the system continuously tracks users' spinal health and dynamically adjusts exercise prescriptions based on feedback data. This long-term tracking mechanism not only ensures the continued effectiveness of treatment or preventative measures but also improves the accuracy and adaptability of personalized services by continuously optimizing the AI ​​model. Attached Figure Description

[0029] Figure 1 This is an exploded view of the structure of the multimodal spinal health management device based on AI Agent of the present invention.

[0030] Figure 2 This is a schematic diagram of the appearance of the multimodal spinal health management device based on AI Agent of the present invention.

[0031] Figure 3 This is a block diagram of the multimodal spinal health management system based on AI Agent of the present invention.

[0032] Figure 4 This is a data-driven closed-loop diagram of the AI ​​Agent of this invention.

[0033] Figure 5 This is a logic diagram of the function call and gamification transformation of the present invention.

[0034] Figure 6 This is a hierarchical architecture diagram of the product services of this invention.

[0035] Figure 7 This is a schematic diagram of the core interface of the watch version of the game interaction platform of the present invention.

[0036] Figure 8 This is a schematic diagram of the core interface of the mobile version of the game interaction platform of the present invention.

[0037] Figure 9 This is a schematic diagram illustrating the process of adjusting the difficulty of the exercise prescription according to the present invention.

[0038] The labels in the diagram are: 1-Motion capture component; 2-Posture monitoring component; 3-Waist belt and sensor component; 4-Interactive response module; 5-Light effect projection module; 6-Waist belt; 7-Vibration feedback module; 8-Magnetic card slot. Detailed Implementation

[0039] The structure and working process of the present invention will be further described below with reference to the accompanying drawings.

[0040] The first objective of this application is to use AI Agent technology to train and build a comprehensive context for adolescent spinal health, integrate community service resources and personal health information, collect and intelligently analyze relevant exercise data, thereby realizing an intelligent service system with "one prescription per person and a personalized exercise database for each individual".

[0041] The second objective of this application is to leverage a brand's interconnected smartwatches, mobile phones, and home TVs to empower and co-build a multimodal, real-time feedback spinal health guidance technology across three scenarios: home, school, and community.

[0042] The third objective of this application is to use an innovatively designed electronic IP character to guide the entire service process and to gamify a series of innovative gameplay elements such as individual practice, partner competition, virtual maps, and action libraries, thereby overcoming the bottleneck problem of monotonous repetition and difficulty in stimulating the sustained participation of teenagers that is common in previous spinal health intervention measures.

[0043] To achieve the above objectives, this invention provides a smart product and service system for spinal protection and rehabilitation exercises for adolescents, specifically including:

[0044] A spinal health management device includes a waist belt, an intelligent detection module, a vibration feedback module, and a communication module; wherein the intelligent detection module and the vibration feedback module are disposed in the waist belt; the intelligent detection module includes a motion sensor for real-time detection of the wearer's spinal status; the vibration feedback module is used to analyze the wearer's posture and provide data feedback, and to issue prompt information through the actuator in the vibration feedback module; the communication module is used to interact with a remote monitoring terminal.

[0045] The spinal health management system includes the aforementioned spinal health management device and a monitoring terminal APP that interacts with the spinal health management device. The monitoring terminal APP includes a data processing and analysis module and an information output and service implementation module. The data processing and analysis module preprocesses pre-collected multi-dimensional data to construct a spinal health assessment and AIS risk prediction model. Based on the prediction results output by the spinal health assessment and AIS risk prediction model, it generates an exercise prescription. The information output and service implementation module is used to visualize the exercise prescription and output analysis reports to associated accounts.

[0046] The interactive game platform for spinal health management includes a game interface, game elements, game characters, and a backend data platform. Users set up game characters through the game interface, complete corresponding game tasks according to the rewards and storylines set in the game elements, and the backend data platform associates the game tasks with the exercise prescriptions generated in the spinal health management system and the actuators in the spinal health management device, and completes the real-time transmission of data.

[0047] Specific Implementation Example 1, such as Figure 1 , Figure 2 As shown:

[0048] A spinal health management device, referred to in this embodiment as a "Spine Health Gold Belt," is a wearable smart hardware device. The basic version includes a belt 7, a smart detection module, a vibration feedback module 7, and a communication module. The smart detection module and vibration feedback module are housed within the belt 7. The smart detection module includes motion sensors for real-time detection of the wearer's spinal status. The vibration feedback module 7 analyzes the wearer's posture and provides data feedback, issuing prompts via an actuator within the vibration feedback module. The communication module interacts with a remote monitoring terminal. The belt 7 is secured using a buckle 8. The spinal health management device integrates a motion capture component 1, a posture monitoring component 2, a belt and sensor group 3, an interactive response module 4, and a light projection module 5.

[0049] The “Spine Health Belt” in this embodiment includes two versions for users to choose from: “Golden Belt” version 1.0 and “Golden Belt” version 2.0. The functionality and intelligence have been gradually enhanced, aiming to meet the graded use needs of adolescents with different types of spinal health conditions. Through innovative technology, the treatment effect and user experience are improved, thereby effectively supporting the spinal health management of adolescents.

[0050] "Golden Belt" Version 1.0

[0051] The Gold Belt 1.0 is an initial solution designed for preventative or mild AIS (Alternating Infantile Stress Injury) teenagers, focusing on providing assistive motion feedback. Its design prioritizes comfort and effectiveness, featuring smart sensors and a vibration feedback module that monitors waist movement in real time and corrects poor posture through vibration feedback. This product supports connection to smartwatches, allowing for real-time monitoring and recording of data to help teenagers maintain correct posture.

[0052] Version 1.0 primarily consists of a waist belt, a smart module, and a vibration feedback system. In terms of materials, the waist belt uses a smooth, comfortable surface made of terrazzo, enhancing wearing comfort. A high-precision motion sensor is embedded within the waist belt, enabling real-time detection of the wearer's spinal status, posture analysis, and timely correction through data feedback. When spinal curvature or incorrect posture is detected, vibration feedback is triggered, alerting the wearer to make appropriate adjustments through changes in intensity and frequency. Simultaneously, the gold waist belt can connect to a smartwatch via Bluetooth, synchronizing data in real-time for easy monitoring by parents or medical personnel.

[0053] "Golden Belt" Version 2.0

[0054] The Gold Belt 2.0 adds more intelligent functions to the 1.0 version, including a self-detection module for spinal health and an air recognition module, which allows the belt to adjust exercise feedback more accurately and automatically adjust its functions according to changes in the environment.

[0055] First, version 2.0 adds an air recognition module. The belt uses embedded sensors to detect the wearer's surrounding air environment, including air quality and humidity, and provides feedback to the user, making the exercise environment more suitable and improving training effectiveness. Simultaneously, an interactive response module is introduced, allowing the belt to not only provide feedback through vibration but also interact wirelessly with external devices (such as smartphones) to achieve more comprehensive health feedback. This module can provide more complex interactive prompts based on the intensity of exercise or improper posture, such as sound prompts and visual data displays. Furthermore, version 2.0 adds an adaptive adjustment function, meaning the device automatically adjusts the vibration intensity based on the user's real-time exercise data and posture feedback, ensuring the exercise feedback matches the teenager's physical condition.

[0056] Product Design Specifications and Material Selection

[0057] Color and Material: The belt primarily uses four vibrant shades: #B6FE04 Vibrant Green, #833DAE Cool Purple, #242325 Ink Gray, and #F2F2F2 Milky White, highlighting the needs of the youth user group. The gold belt features a durable terrazzo outer shell and a textile lining for comfortable and breathable wear. Through precise polishing and processing, the surface is smooth, providing a high-touch experience while effectively preventing friction and overheating.

[0058] Design: Both the Gold Belt 1.0 and 2.0 feature a sleek design, and their modular design allows for functional expansion to meet user needs. Furthermore, the series utilizes a flexible magnetic attachment system for the watch and a smart interface, facilitating connection to other devices and sensors and ensuring convenient use of all functions.

[0059] Specific embodiment two, such as Figures 1 to 6 As shown:

[0060] The spinal health management system includes the spinal health management device described in Embodiment 1 and a monitoring terminal APP that interacts with the spinal health management device. The monitoring terminal APP includes a data processing and analysis module and an information output and service implementation module. The data processing and analysis module preprocesses the pre-collected multi-dimensional data to construct a spinal health assessment and AIS risk prediction model. Based on the prediction results output by the spinal health assessment and AIS risk prediction model, an exercise prescription is generated. The information output and service implementation module is used to visualize the exercise prescription and output analysis reports to associated accounts.

[0061] The core function of this system is to generate personalized exercise prescriptions based on adolescents' health data through a data-driven closed-loop system, promoting the prevention and correction of scoliosis. Its innovation lies in integrating multi-dimensional data, AI analysis, personalized exercise prescriptions, and interaction among multiple participants to construct a data-driven closed-loop system. This not only enables early warning and prevention of scoliosis but also dynamically adjusts treatment plans based on real-time feedback. This approach breaks away from the reactive path of traditional medical models, allowing stakeholders (such as schools, families, medical institutions, and governments) to provide input and receive feedback in real time, thereby continuously promoting the implementation of overall treatment and prevention plans. The implementation of this system will significantly improve the accuracy and efficiency of adolescent spinal health management, driving scoliosis prevention and treatment towards a more intelligent, personalized, and sustainable direction. The specific implementation path consists of the following parts:

[0062] 1. Data Collection and Input

[0063] 1.1 User health data input:

[0064] Adolescent health information: Data collection first includes basic health information of adolescents, such as age, gender, height, weight, and other basic physiological data, as well as data related to spinal health. This information is monitored in real time through smart health devices (smart bracelets, "golden belt" smart wearable hardware sensors) to continuously collect dynamic data such as spinal posture and activity levels.

[0065] Family Health Background: By analyzing the health information of family members, we systematically analyze the potential impact of genetic factors and lifestyle habits on the spinal health of adolescents. For example, we analyze the adverse effects of family members' history of scoliosis, family exercise habits, and prolonged sitting.

[0066] 1.2 Activity Attribute Data:

[0067] Data on adolescents' daily activities, such as sitting posture, standing posture, and walking patterns, are collected through smart wearable devices (posture detection sensors, cameras, etc.). This data will be used to analyze the spinal condition of adolescents during activities and provide a basis for subsequent personalized interventions.

[0068] 1.3 Location and Environmental Information:

[0069] Location-based services (LBS) can provide users with information about their activity environment, such as spinal health data in different scenarios like home, school, and sports fields. This helps provide users with suggestions for optimizing environmental factors, such as the seating arrangement for parents and the height of desks in schools.

[0070] 2. Data Processing and Analysis

[0071] 2.1 Data Integration and Preprocessing:

[0072] All collected multi-dimensional data (health information, activity data, environmental information, etc.) will be integrated through API interfaces and a data warehouse to establish unified data standards and models. Data cleaning and preprocessing (such as noise reduction and standardization) will ensure data accuracy and consistency. Specifically,

[0073] (1) Multi-source data fusion:

[0074] Physiological data: The gold belt collects real-time data on spinal angle and muscle tension, while the smartwatch monitors gait and body fat percentage;

[0075] Behavioral data: Analyze teenagers' daily sitting posture (such as head tilt angle during video conferences) through mobile phone cameras.

[0076] Environmental data: The Gold Belt 2.0 air recognition module detects indoor air quality and links with the air conditioning / fresh air system to optimize the training environment.

[0077] (2) Data cleaning: Kalman filtering algorithm is used to eliminate sensor noise, and after standardization processing, the data is stored in a cloud database (MySQL+MongoDB hybrid architecture).

[0078] 2.2 Exercise prescription generation and dynamic adjustment:

[0079] Prediction and Planning: First, the AI ​​Agent will use deep learning algorithms to conduct spinal health assessments and predict AIS risks for adolescent users through historical data analysis and exercise habit modeling.

[0080] Personalized Exercise Prescription Generation: Based on the predictions from the AI ​​model, the system will generate a personalized exercise prescription. This prescription will provide a tailored exercise plan, including corrective exercises, preventative exercises, and adaptive training, based on factors such as the adolescent's spinal health, daily activity patterns, and postural problems. Specifically,

[0081] Risk assessment model:

[0082] The risk level of scoliosis is analyzed based on a ResNet-50 convolutional neural network. The input parameters include:

[0083] input_features = [Spinal curvature, daily exercise duration, family medical history, sitting posture deviation]

[0084] output = Risk level (low / medium / high) + predicted correction period.

[0085] (2) Dynamic prescription engine:

[0086] Generate differentiated solutions based on risk level:

[0087]

[0088] Feedback Mechanism: After the exercise prescription is generated, it will be continuously adjusted based on the actual exercise performance of the adolescent users. For example, based on post-exercise feedback data (such as posture improvement, increased activity level, etc.), the exercise prescription will be re-optimized to ensure its therapeutic effect is maximized. Specifically,

[0089] (1) Real-time feedback system:

[0090] Gold belt vibration mode: 5 preset vibration frequencies (low frequency to remind you to relax, high frequency to warn you of dangerous postures);

[0091] AR visualization guidance: Project a virtual spine model through your phone's camera and mark the direction of correction (e.g., "tilt 3° to the left").

[0092] (2) Dynamic adjustment strategy:

[0093] The prescription difficulty is automatically adjusted weekly based on user completion rate and progress. Figure 9 As shown, for example:

[0094] Determine if more than 80% of this week's tasks have been completed. If so, determine if there has been significant progress. If there has been significant progress, increase the training intensity by 5%. Otherwise, maintain the current intensity and add more fun tasks.

[0095] 3. Information Output and Service Implementation

[0096] 3.1 Personalized Output:

[0097] For teenagers and families: The system provides each user with a personalized spinal health analysis report and exercise prescription. The report will show in detail the spinal health status, potential risks, improvement suggestions, etc., and use visualizations to help teenagers and parents understand and implement the recommendations more clearly.

[0098] Schools and Healthcare Institutions: The system outputs analytical reports to the schools and healthcare institutions associated with the user, helping teachers and medical professionals understand students' spinal health and providing further treatment recommendations for individual adolescents. Particularly in school settings, the system can also help schools adjust physical education programs and health management measures.

[0099] Community and Government: Providing communities and governments with comprehensive data and trend analysis reports on adolescent spinal health, offering data references for public health policymakers. Policymakers can use this data to optimize the allocation of public health resources, such as conducting targeted health education activities in schools and communities.

[0100] 3.2 Service Expansion and Feedback Loop:

[0101] Exercise Feedback: Utilizing the data acquisition devices associated with the wearable smart hardware "Golden Belt" mentioned above, the AI ​​Agent module can monitor teenagers' performance during exercise in real time and provide immediate feedback. The system adjusts exercise intensity and frequency based on this feedback to ensure the continuity and progress of training effects.

[0102] Family-school interaction: Through a smartphone app, parents and schools can track adolescents' physical progress and spinal health in real time. Input from parents and teachers (such as feedback on students' exercise status and suggestions for adjusting lifestyle habits) will be fed back to the system as data to optimize the AI ​​model.

[0103] Dynamic adjustment and long-term tracking: The system continuously updates exercise prescriptions based on feedback data after each exercise session, forming a dynamic adjustment mechanism to ensure that treatment or preventative measures can adapt to the changing needs of adolescent spinal health. Through long-term data accumulation and AI optimization, the accuracy of personalized services will gradually improve in iterations.

[0104] 4. Technical Support and Specifications

[0105] 4.1 Technical Architecture:

[0106] Cloud computing and big data analytics: Utilizing cloud computing platforms for large-scale data storage, computation, and processing to ensure the system's efficiency and accuracy in analyzing massive amounts of data.

[0107] Machine learning and deep learning: Analyze the trends and characteristics of spinal health through machine learning algorithms (such as regression analysis, cluster analysis, etc.) and deep learning models (such as convolutional neural networks), extract patterns, and generate exercise prescriptions.

[0108] Internet of Things (IoT) Integration with Smart Devices: By combining smart devices (such as smartwatches, sensors, smart insoles, etc.), real-time sports data of teenagers can be collected, and seamless connection between devices and platforms can be achieved through IoT technology.

[0109] 4.2 Security and Privacy Protection:

[0110] Data privacy protection: All health data of teenagers and families will be stored in encrypted form to ensure data security and privacy protection, and to comply with relevant data protection regulations (such as GDPR, domestic data protection laws, etc.).

[0111] Access control and permission management: The system will implement fine-grained permission management based on user type (parents, students, medical personnel, schools, etc.) to ensure that only authorized personnel can access specific data.

[0112] Specific embodiment three, such as Figure 7 , Figure 8As shown:

[0113] The interactive game platform for spinal health management includes a game interface, game elements, game characters, and a backend data platform. Users set up game characters through the game interface, complete corresponding game tasks according to the rewards and storylines set in the game elements, and the backend data platform associates the game tasks with the exercise prescriptions generated in the spinal health management system and the actuators in the spinal health management device, and completes the real-time transmission of data.

[0114] This embodiment aims to enhance the sustained engagement of adolescent users by transforming spinal health management into a gamified interactive experience. It utilizes the widely accepted narrative elements of the Monkey King culture, introducing two virtual IPs, "Master Monkey" and "Little Apprentice Monkey," to represent the AI ​​Agent and the user themselves. Through gamification mechanisms and game elements such as tasks, rewards, and storylines, traditional health management activities are made more attractive, allowing adolescent users to manage and improve their spinal health in a relaxed and enjoyable environment. The core scenarios and service touchpoint linkage mechanisms of this embodiment are as follows:

[0115] 1. Character Setting:

[0116] (1) Master Sun Wukong (AI Agent incarnation): Provides guidance through speech synthesis (TTS engine), and the image design incorporates elements of the Monkey King (the golden cudgel is transformed into a spinal corrector).

[0117] Sun Xiaotu (user's virtual avatar): Unlock clothing and weapon skins (such as "Agile Tiger Talisman" and "Standing Jade Pendant") based on athletic performance.

[0118] (2) Plot-driven mechanism:

[0119] Users advance the main storyline by completing designated action tasks (such as "apprenticeship" or "exorcising demons"), and unlock advanced features (such as family health consultant privileges) upon completion.

[0120] 2. Home Scenario: Smart Hardware and Multi-Terminal Collaboration

[0121] Hardware deployment: Users wear the Gold Belt 1.0 / 2.0 (built-in high-precision IMU sensor, barometer, Bluetooth / Wi-Fi module), which is simultaneously connected to a smartwatch (monitoring heart rate and exercise volume) and a home TV (large-screen interactive terminal).

[0122] Example process:

[0123] Posture correction: When the gold belt detects the risk of scoliosis, it triggers vibration feedback and pushes a correction prompt through a pop-up window on the watch;

[0124] Family health management: Parents can log in to the APP via TV to view their children's spinal health reports and participate in the "Parent-Child Spinal Health Challenge".

[0125] 3. Campus Scenario: Automated Learning and Movement Intervention

[0126] Scenario adaptation: The AI ​​Agent automatically switches between "learning mode" and "exercise mode" based on the class schedule data. For example:

[0127] During class: The gold belt monitors posture. If it detects that the student is looking down for more than 15 minutes, it will send a reminder to the teacher's terminal via the APP.

[0128] Physical education class: Using smartwatches to record exercise load, personalized stretching programs are generated and projected onto the classroom screen.

[0129] 4. Community Scenario: Resource Integration and Social Incentives

[0130] Community center terminal: Deploy interactive health terminals (equipped with this system) to provide the following services:

[0131] Health record sharing: Residents can scan a code to view their personal spinal health trends;

[0132] Offline activity guidance: Information on nearby "spine health themed workshops" is pushed based on LBS, and participants can redeem participation qualifications through game points.

[0133] The specific method involves breaking down the exercise prescriptions issued by the platform into a series of concrete movements, which are then transformed into gamified tasks integrated into a virtual storyline. These tasks are presented as "secret manuals," and users receive rewards upon completion, incentivizing them to continue exercising. This gamified design not only makes exercise fun but also enhances the game's appeal and engagement among teenagers through personalized visual styles. These exercise tasks are designed to be challenging yet ensure that each user completes them according to their own health condition, helping them gradually achieve their spinal health goals.

[0134] During the gaming experience, the platform provides instant feedback and personalized guidance through real-time lighting effects, sound effects, and voice-over narration, enhancing immersion and interactivity. For example, while on a "health management journey," users progress through the story by completing tasks, receiving feedback and having the difficulty of tasks adjusted based on their individual data to ensure each user can continuously improve within their capabilities. Furthermore, the system also recommends relevant medical experts or health activities based on the user's activity level and health status, ensuring support throughout the entire process.

[0135] This platform also encourages user participation in offline activities and provides ongoing health management support through collaboration with community and campus resources. User data is shared with community and campus resources, helping them better participate in the health management process while also enjoying a wealth of health resources such as dynamic training and assignments. While protecting privacy, data sharing helps build a more comprehensive health management system and provides more personalized health advice.

[0136] In addition, the platform provides ongoing companionship and guidance through the virtual character "Da Sheng" (Monkey King), increasing the fun and engagement for teenagers in the health management process. It regularly recommends medical experts matching the user's health status, enabling users to receive professional support when needed. Throughout this process, AI technology not only helps identify improper actions and provides improvement suggestions, but also regularly generates illustrated health reports to help users understand the progress of their health management.

[0137] Haptic feedback: The gold belt uses different vibration modes to coordinate with plot points (such as "encountering a monster" triggering a high-frequency alarm vibration).

[0138] (2) Visual guidance: The TV terminal projects an AR virtual coach to demonstrate the movements, and the mobile APP displays a 3D spinal animation demonstration.

[0139] (3) Social incentives:

[0140] Class Ranking: Synchronizes and ranks class spinal health data in a campus setting;

[0141] Virtual badge system: Complete community health tasks to redeem physical prizes (such as sports backpacks).

[0142] If a user's weekly task completion rate is >80% and their posture deviation decreases by ≥5%, the prescription intensity increases by 5%-10%.

[0143] If the completion rate is ≤80%, maintain the current intensity and add fun tasks (such as "posture correction mini-game").

[0144] Overall, by combining advanced AI technology, virtual narratives, and gamification, spinal health management can be successfully transformed into a highly interactive and engaging experience. This design not only helps adolescent users actively participate in health management but also enhances their self-awareness and engagement in spinal health, ensuring they can more proactively maintain healthy habits within a gamified environment.

[0145] The platform's supporting systems and security measures are as follows:

[0146] Backend architecture

[0147] (1) Modular design of microservices:

[0148] Service division of labor:

[0149] Data acquisition module: Uses Kafka (a high-throughput distributed message queue system / stream processing platform) to process real-time data streams via message queues.

[0150] AI Prescription Module: Deploy inference models using the Flask (lightweight web application framework) platform and the TensorFlow Serving (high-performance online inference service framework designed for TensorFlow models) platform.

[0151] Game Engine: Use Unity3D (a cross-platform game development engine) to build cross-platform game logic.

[0152] (2) Edge computing nodes: Deploy local data processing servers on campus gateways to reduce cloud latency.

[0153] Data security and privacy protection

[0154] (1) Encrypted transmission: Sensitive data is encrypted using the national cryptographic SM4 algorithm, and Bluetooth communication is encrypted using AES-256;

[0155] (2) Hierarchical access control:

[0156] Medical personnel: can view raw sensor data and historical prescriptions.

[0157] Parents: Only health reports and task progress are accepted.

[0158] Teenagers: Self-management training program + social functions.

[0159] Personalized health management with "one person, one spine, one prescription" is achieved through AI Agent, improving correction efficiency by more than 40%.

[0160] Gamification design increased the average daily engagement time of teenage users by 25%;

[0161] By building a data-driven closed-loop management system through multi-scenario collaboration, the risk of scoliosis worsening can be reduced by 30%.

[0162] Through the above embodiments, an intervention program for adolescent spinal health can be formed, for example:

[0163] (1) Data collection phase (week 1):

[0164] Wearing a gold belt monitors daily posture and synchronizes with a smartwatch to record exercise volume;

[0165] The AI ​​Agent generated the first spinal health assessment report.

[0166] (2) Gamification intervention phase (weeks 2-8):

[0167] Receive daily "spine health tips" tasks via the app (such as "imitating the stretching movements of the Monkey King's golden cudgel").

[0168] Earn points by completing tasks, unlock virtual equipment, and improve your ranking on the leaderboard.

[0169] (3) Dynamic optimization phase (starting from week 9):

[0170] Adjust prescription intensity based on user progress and collaborate with community healthcare institutions to conduct offline rehabilitation activities.

[0171] In summary, by organically combining AI Agents, multimodal interaction, and smart hardware, a highly efficient, intelligent, and attractive AIS prevention and correction product and service system has been successfully constructed. This system not only provides personalized health management plans but also significantly enhances adolescents' willingness and persistence to participate through real-time feedback, gamified experiences, and multi-scenario linkage. Simultaneously, the system ensures the scientific rigor, safety, and sustainability of health management through a data-driven closed-loop system and strict privacy protection mechanisms. This innovative product and service system is expected to play a significant role in the field of adolescent spinal health management, driving AIS prevention and correction work towards a more intelligent, personalized, and sustainable direction.

[0172] It should be understood that this solution is not limited to the specific embodiments described above. Devices and structures not described in detail herein should be understood as being implemented in a manner common to the art. Any person skilled in the art can make many possible variations and modifications to this solution, or modify it into equivalent embodiments, without departing from the scope of this solution, using the methods and techniques disclosed above. This does not affect the substantive content of this solution. Therefore, any simple modifications, equivalent changes, and alterations made to the above embodiments based on the technical essence of this solution, without departing from its scope, still fall within the protection scope of this solution.

Claims

1. A spinal health management device, characterized in that: It includes a waist belt, an intelligent detection module, a vibration feedback module, and a communication module; the intelligent detection module and the vibration feedback module are set in the waist belt; the intelligent detection module includes a motion sensor for real-time detection of the wearer's spinal status; the vibration feedback module is used to analyze the wearer's posture and provide data feedback, and issue prompt information through the actuator in the vibration feedback module; the communication module is used to exchange data with a remote monitoring terminal.

2. The spinal health management device according to claim 1, characterized in that: It also includes an air recognition module set on the belt to detect the air environment in which the wearer is located.

3. The spinal health management device according to claim 2, characterized in that: The vibration feedback module has an adaptive adjustment function, which automatically adjusts the vibration intensity of the actuator based on the wearer's real-time motion data and posture feedback.

4. A spinal health management system, characterized by: The invention includes the spinal health management device as described in any one of claims 1 to 3, and a monitoring terminal APP for interacting with the spinal health management device; the monitoring terminal APP includes a data processing and analysis module and an information output and service implementation module; wherein, the data processing and analysis module preprocesses pre-collected multi-dimensional data to construct a spinal health assessment and AIS risk prediction model; and generates an exercise prescription based on the prediction results output by the spinal health assessment and AIS risk prediction model; the information output and service implementation module is used to visualize the exercise prescription and output analysis reports to associated accounts.

5. The spinal health management system according to claim 4, characterized in that: It also includes a data collection and input module, in which data collection includes basic health information of adolescents, data related to spinal health, family health background data, data on the attributes of adolescents' daily activities, and location and environmental information; the data input module includes a database and an input interface.

6. The spinal health management system according to claim 5, characterized in that: The data processing and analysis module uses the AIAgent module to form a closed loop through data-driven processes. The components of the closed loop include multi-dimensional data input, AI analysis, output exercise prescriptions, and interactions among multiple participants.

7. The spinal health management system according to claim 6, characterized in that: The closed-loop implementation process of the AI ​​Agent module is as follows: For prediction and planning, the AI ​​Agent uses deep learning algorithms, historical data analysis and exercise habits to build an AI model for spinal health assessment and AIS risk prediction for adolescent users. Personalized exercise prescriptions are generated by using AI models to predict factors such as the spinal health status of adolescents, their daily activity types, and postural problems. Based on the prediction results, a unique exercise plan including corrective exercises, preventive exercises, and adaptive training is obtained, thus generating a personalized exercise prescription. The feedback mechanism adjusts and optimizes the generated exercise prescriptions in real time based on the actual exercise performance of adolescent users.

8. An interactive game platform for spinal health management, characterized in that: It includes the game interface, game elements, game characters, and backend data platform; users set game characters through the game interface, complete corresponding game tasks according to the rewards and storylines set in the game elements; the backend data platform associates the game tasks with the exercise prescriptions generated in the spinal health management system and the actuators in the spinal health management device, and completes the real-time transmission of data.

9. The interactive game platform for spinal health management according to claim 8, characterized in that: The design method for the interactive game is as follows: On the backend data platform, firstly, the exercise prescription is broken down into a series of specific actions, and each action is transformed into a gamified task and integrated into the virtual storyline; secondly, the rewards for completing each task are matched and associated; then, each task is associated with the intelligent detection module and vibration feedback module of the spinal health management device; finally, the real-time feedback information is associated with light effects, sound effects, and voice stories to achieve the final exercise prescription task.

10. The interactive game platform for spinal health management according to claim 8, characterized in that: The game character settings include setting up a single-player mode for the user, a mode for the user to battle against AI, and a mode for the user to team up with friends.

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