Intelligent interaction system and interaction method based on wearable device

Abstract

Disclosed are an intelligent interaction system and interaction method based on a wearable device. The intelligent interaction system comprises a wearable device, an APP client, and a backend server. The wearable device and the APP client perform data transmission via a wireless data transmission component, the APP client and the backend server perform data transmission via the Internet, and the backend server is connected to a database and an AI server. According to the invention, the system performs artificial intelligence analysis on user data by accessing the AI server, and displays AI analysis data and recommendations on the APP client in real time in a user-friendly manner, thereby enabling human-machine dialogue. Users can promptly understand their own health status and take preventive measures, and can take corrective actions promptly to prevent accidents. In addition, a monitoring terminal of the system is provided with a memory to enable data caching, thereby effectively overcoming data discontinuities caused by interruptions in system connection signals and ensuring the continuity of monitoring data.

Description

An intelligent interactive system and interactive method based on wearable devices Technical Field

[0001] The present invention relates to the field of intelligent wearable technology, and in particular to an intelligent interaction system and interaction method based on wearable devices. Background Art

[0002] With the development of Internet technology and intelligent products, various intelligent wearable products have appeared on the market. Various intelligent wearable products are used to realize various detection and monitoring functions, and are combined with the Internet to realize intelligence.

[0003] However, most current smart wearable products can only display the values ​​of various detected indicators to users. After receiving the values, users often cannot easily understand the meaning of the values. If they want to further understand the monitoring results, they can only consult professional technical consultants. This cannot achieve timely monitoring and protection effects, and the results are unsatisfactory.

[0004] In addition, current smart wearable products, especially smart rings, do not focus on data continuity. There is no built-in cache module on the product. The monitoring data can only be forwarded to the APP client when the network is connected. Once the signal is weak or interrupted, there will be a data gap, and the effect of continuous monitoring cannot be achieved at all. In serious cases, major dangerous accidents may occur due to missing data. Summary of the Invention

[0005] The purpose of the present invention is to provide an intelligent interactive system based on wearable devices. The system performs artificial intelligence analysis on user health data B, user profile data and consultation data by accessing an AI server, and displays AI analysis data and suggestions in a humanized manner on the APP client in real time, realizing human-computer dialogue, making it convenient for users to grasp their own physical health status at the first time and prevent problems before they occur. It is also convenient for users to take timely improvement actions to prevent accidents. In addition, the monitoring end of this system is provided with a memory to realize data caching, which effectively overcomes the phenomenon of data faults caused by interruption of system connection signals, ensures the continuity of monitoring data, and solves the problems raised by the above-mentioned background technology.

[0006] To achieve the above objectives, the present invention provides the following technical solutions: an intelligent interactive system based on a wearable device, comprising a wearable device, an APP client, and a background server, wherein the wearable device and the APP client implement data transmission via a wireless data transmission component, and the APP client and the background server implement data transmission via the Internet:

[0007] The wearable device is provided with an MCU control chip, a sensor and a memory. The sensor is used to detect the numerical values ​​of various human body status indicators. The MCU control chip is embedded with computing software. The computing software converts the numerical values ​​of various status indicators into readable user health data A. The memory is used to cache the user health data A.

[0008] The APP client displays statistical data and / or feedback data to the user;

[0009] The backend server implements data processing and data forwarding. The backend server is connected to a database and an AI server. The database is used to store user data. The AI ​​server receives user data sent by the backend server, performs artificial intelligence analysis on the user data, and sends feedback data to the backend server. The data is forwarded to the APP client through the backend server and displayed to the user on the APP client.

[0010] Preferably, the user health data A includes one or more combinations of body temperature, number of steps, sleep, heart rate, blood oxygen and HRV. The user health data A is formed into user health data B after data reorganization. The user health data B includes one or more combinations of sleep data, activity data and status data.

[0011] Preferably, the data reorganization can be set at the MCU control chip, or at the APP client, or at the background server.

[0012] Preferably, the wearable device is a smart ring, and the sensor includes one or more combinations of a temperature sensor, an acceleration sensor, and a light sensor.

[0013] Preferably, the APP client is provided with a consultation desk input window, and the consultation data is transferred to the AI ​​server through the background server for artificial intelligence analysis and then transmitted back to the APP client through the background server for display to the user.

[0014] Preferably, the statistical data includes user health data B, and the feedback data includes AI analysis data and suggestions and AI consultation responses.

[0015] Preferably, the backend server can create a file for the user data, forming user file data and storing it in a database for retrieval.

[0016] Preferably, the user data includes user account ID, user health data B, AI analysis data and suggestions, consultation data and AI consultation responses.

[0017] Preferably, the wireless data transmission component is a Bluetooth wireless transmission component.

[0018] An interactive method of an intelligent interactive system based on a wearable device, comprising the following steps:

[0019] S1), the user wears the wearable device and wears the smart ring on the finger;

[0020] S2) Initialize the smart ring, connect to the APP client via the Bluetooth wireless transmission component, register an account on the APP client, and bind the smart ring ID number through the account; the APP client sends the registered account information to the backend server via the Internet, and the backend server completes the file creation to form user file data, and stores the user file data in the database;

[0021] S3), the sensor detects the numerical values ​​of various human body status indicators by detecting the fingers, and after obtaining the status indicator values, the MCU applies the algorithm of the calculation software to convert the status indicator values ​​into user health data A and caches them in the memory;

[0022] S4), when the smart ring and the APP client are in a wireless connection state, the MCU sends the user health data A to the APP client; or the MCU reorganizes the user health data A into user health data B and then sends it to the APP client;

[0023] S5), after receiving the user health data A sent by the MCU, the APP client forwards the user health data A to the backend server through the Internet; or the APP client reorganizes the user health data A into user health data B and then forwards it to the backend server; or when the data received by the APP client from the MCU is the user health data B after data reorganization, the user health data B is directly forwarded to the backend server;

[0024] S6), the backend server reorganizes the user health data A received from the APP client to form user health data B, and assigns the user health data B to the corresponding user file data and stores them together in the database; or the backend server assigns the user health data B received from the APP client after data reorganization to the corresponding user file data and stores them together in the database;

[0025] S7), the backend server retrieves the user health data B from the database and forwards it to the AI ​​server. The AI ​​server analyzes the user health data B and outputs AI analysis data and suggestions, which are forwarded by the backend server to the APP client for the user to review. At the same time, the AI ​​server forwards the analysis and suggestions to the backend server, and the backend server performs data archiving in a unified manner; the backend server also retrieves the latest user health data B from the database and sends it to the APP client for the user to review;

[0026] S8) The user can input consultation data through the consultation desk input window on the APP client. The consultation data is sent to the backend server via the Internet and then forwarded to the AI ​​server. The AI ​​server generates an AI consultation response after analysis and forwards it to the APP client via the backend server for display to the user. The backend server merges the consultation data and the AI ​​consultation response and stores them in the corresponding user profile data;

[0027] S9) The AI ​​server can retrieve relevant user profile data from the database through the backend server for AI analysis.

[0028] Compared with the prior art, the present invention has the following beneficial effects:

[0029] In the present invention, the system performs artificial intelligence analysis on user health data B, user profile data and consultation data by accessing the AI ​​server, and displays the AI ​​analysis data and suggestions in a humanized manner on the APP client in real time, realizing human-computer dialogue, making it convenient for users to grasp their own physical health status at the first time and prevent problems before they occur. It is also convenient for users to take timely improvement actions to prevent accidents. In addition, the monitoring end of this system is provided with a memory to realize data caching, which effectively overcomes the phenomenon of data faults caused by interruption of system connection signals and ensures the continuity of monitoring data. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] FIG1 is a schematic diagram showing the principle of the system of the present invention. DETAILED DESCRIPTION

[0031] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0032] Please refer to Figure 1, which shows an intelligent interactive system based on wearable devices, including a wearable device, an APP client, and a backend server. The wearable device and the APP client implement data transmission via a wireless data transmission component, and the APP client and the backend server implement data transmission via the Internet:

[0033] In this embodiment, the wearable device is a smart ring, the wireless data transmission component is a Bluetooth wireless transmission component, and the wearable device is provided with an MCU control chip, a sensor, and a memory. The sensor includes one or more combinations of a temperature sensor, an acceleration sensor, and a light sensor. The sensor is used to detect the values ​​of various status indicators of the human body. The MCU control chip is embedded with computing software, and the computing software converts the values ​​of various status indicators into readable user health data A. The memory is used to cache the user health data A.

[0034] The APP client displays statistical data and / or feedback data to the user; the statistical data includes user health data B, and the feedback data includes AI analysis data and suggestions and AI consultation responses.

[0035] The backend server implements data processing and data forwarding. The backend server is connected to a database and an AI server. The database is used to store user data. The AI ​​server receives user data sent by the backend server, performs artificial intelligence analysis on the user data, and sends feedback data to the backend server. The data is forwarded to the APP client through the backend server and displayed to the user on the APP client.

[0036] The user health data A includes one or more combinations of body temperature, steps, sleep, heart rate, blood oxygen, and HRV. The user health data A is reorganized to form user health data B, which includes one or more combinations of sleep data, activity data, and status data. The data reorganization can be set at the MCU control chip, the APP client, or the background server.

[0037] The APP client is provided with an information desk input window. The consultation data is transferred to the AI ​​server through the background server for artificial intelligence analysis and then transmitted back to the APP client through the background server for display to the user.

[0038] The backend server can create a data file for the user data, forming user file data and storing it in the database for retrieval. The user data includes user account ID, user health data B, AI analysis data and suggestions, consultation data and AI consultation responses.

[0039] An interactive method of an intelligent interactive system based on a wearable device, comprising the following steps:

[0040] S1), the user wears the wearable device and wears the smart ring on the finger;

[0041] S2) Initialize the smart ring, connect to the APP client via the Bluetooth wireless transmission component, register an account on the APP client, and bind the smart ring ID number through the account; the APP client sends the registered account information to the backend server via the Internet, and the backend server completes the file creation to form user file data, and stores the user file data in the database;

[0042] S3), the sensor detects the numerical values ​​of various human body status indicators by detecting the fingers, and after obtaining the status indicator values, the MCU applies the algorithm of the calculation software to convert the status indicator values ​​into user health data A and caches them in the memory;

[0043] S4), when the smart ring and the APP client are in a wireless connection state, the MCU sends the user health data A to the APP client; or the MCU reorganizes the user health data A into user health data B and then sends it to the APP client;

[0044] S5), after receiving the user health data A sent by the MCU, the APP client forwards the user health data A to the backend server through the Internet; or the APP client reorganizes the user health data A into user health data B and then forwards it to the backend server; or when the data received by the APP client from the MCU is the user health data B after data reorganization, the user health data B is directly forwarded to the backend server;

[0045] S6), the backend server reorganizes the user health data A received from the APP client to form user health data B, and assigns the user health data B to the corresponding user file data and stores them together in the database; or the backend server assigns the user health data B received from the APP client after data reorganization to the corresponding user file data and stores them together in the database;

[0046] S7), the backend server retrieves the user health data B from the database and forwards it to the AI ​​server. The AI ​​server analyzes the user health data B and outputs AI analysis data and suggestions, which are forwarded by the backend server to the APP client for the user to review. At the same time, the AI ​​server forwards the analysis and suggestions to the backend server, and the backend server performs data archiving in a unified manner; the backend server also retrieves the latest user health data B from the database and sends it to the APP client for the user to review;

[0047] S8) The user can input consultation data through the consultation desk input window on the APP client. The consultation data is sent to the backend server via the Internet and then forwarded to the AI ​​server. The AI ​​server generates an AI consultation response after analysis and forwards it to the APP client via the backend server for display to the user. The backend server merges the consultation data and the AI ​​consultation response and stores them in the corresponding user profile data;

[0048] S9) The AI ​​server can retrieve relevant user profile data from the database through the backend server for AI analysis.

[0049] To sum up: In the present invention, the system performs artificial intelligence analysis on user health data B, user profile data and consultation data by accessing the AI ​​server, and displays the AI ​​analysis data and suggestions in a humanized manner on the APP client in real time, realizing human-computer dialogue, making it convenient for users to grasp their own physical health status at the first time and prevent problems before they occur. It is also convenient for users to take timely improvement actions to prevent accidents. In addition, the monitoring end of this system is provided with a memory to realize data caching, which effectively overcomes the phenomenon of data faults caused by interruption of the system connection signal and ensures the continuity of the monitoring data.

[0050] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus.

[0051] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. An intelligent interactive system based on a wearable device, comprising a wearable device, an APP client, and a backend server, wherein the wearable device and the APP client implement data transmission via a wireless data transmission component, and the APP client implements data transmission with the backend server via the Internet, characterized in that: The wearable device is provided with an MCU control chip, a sensor and a memory. The sensor is used to detect the numerical values of various human body status indicators. The MCU control chip is embedded with computing software. The computing software converts the numerical values of various status indicators into readable user health data A. The memory is used to cache the user health data A. The APP client displays statistical data and / or feedback data to the user; The backend server implements data processing and data forwarding. The backend server is connected to a database and an AI server. The database is used to store user data. The AI server receives user data sent by the backend server, performs artificial intelligence analysis on the user data, and sends feedback data to the backend server. The data is forwarded to the APP client through the backend server and displayed to the user on the APP client.

2. The intelligent interactive system based on a wearable device according to claim 1, characterized in that: The user health data A includes one or more combinations of body temperature, number of steps, sleep, heart rate, blood oxygen and HRV. The user health data A is formed into user health data B after data reorganization. The user health data B includes one or more combinations of sleep data, activity data and status data.

3. The intelligent interactive system based on a wearable device according to claim 2, characterized in that: The data reorganization can be set at the MCU control chip, or at the APP client, or at the background server.

4. The intelligent interactive system based on a wearable device according to claim 1, characterized in that: The wearable device is a smart ring, and the sensor includes one or more combinations of a temperature sensor, an acceleration sensor, and a light sensor.

5. The intelligent interactive system based on a wearable device according to claim 1, characterized in that: The APP client is provided with an information desk input window. The consultation data is transferred to the AI server through the background server for artificial intelligence analysis and then transmitted back to the APP client through the background server for display to the user.

6. The intelligent interactive system based on a wearable device according to claim 1, characterized in that: The statistical data includes user health data B, and the feedback data includes AI analysis data and suggestions and AI consultation responses.

7. The intelligent interactive system based on a wearable device according to claim 1, characterized in that: The backend server can create a file for the user data, forming user file data and storing it in a database for retrieval.

8. The intelligent interactive system based on a wearable device according to claim 7, characterized in that: The user data includes user account ID, user health data B, AI analysis data and suggestions, consultation data and AI consultation responses.

9. The intelligent interactive system based on a wearable device according to claim 1, characterized in that: The wireless data transmission component is a Bluetooth wireless transmission component.

10. An interactive method for an intelligent interactive system based on a wearable device according to any one of claims 1 to 9, characterized in that: The steps include: S1), the user wears the wearable device and wears the smart ring on the finger; S2) Initialize the smart ring, connect to the APP client via the Bluetooth wireless transmission component, register an account on the APP client, and bind the smart ring ID number through the account; the APP client sends the registered account information to the backend server via the Internet, and the backend server completes the file creation to form user file data, and stores the user file data in the database; S3), the sensor detects the numerical values of various human body status indicators by detecting the fingers, and after obtaining the status indicator values, the MCU applies the algorithm of the calculation software to convert the status indicator values into user health data A and caches them in the memory; S4), when the smart ring and the APP client are in wireless connection, the MCU sends the user health data A to the APP client; Alternatively, the MCU reorganizes the user health data A into user health data B and then sends it to the APP client; S5), after receiving the user health data A sent by the MCU, the APP client forwards the user health data A to the backend server through the Internet; or the APP client reorganizes the user health data A into user health data B and then forwards it to the backend server; Alternatively, when the data received by the APP client from the MCU is the user health data B after data reorganization, the user health data B is directly forwarded to the background server; S6), the backend server reorganizes the user health data A received from the APP client to form user health data B, and assigns the user health data B to the corresponding user file data and stores them in the database; Alternatively, the backend server allocates the user health data B received from the APP client after data reorganization to the corresponding user profile data and stores them together in the database; S7), the backend server retrieves the user health data B from the database and forwards it to the AI server. The AI server analyzes the user health data B and outputs AI analysis data and suggestions, which are forwarded by the backend server to the APP client for the user to review. At the same time, the AI server forwards the analysis and suggestions to the backend server, which performs data archiving in a unified manner; The backend server simultaneously retrieves the latest user health data B from the database and sends it to the APP client for the user to review; S8) The user can input consultation data through the consultation desk input window on the APP client. The consultation data is sent to the backend server via the Internet and then forwarded to the AI server. The AI server generates an AI consultation response after analysis and forwards it to the APP client via the backend server for display to the user. The backend server merges the consultation data and the AI consultation response and stores them in the corresponding user profile data; S9) The AI server can retrieve relevant user profile data from the database through the backend server for AI analysis.

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