Driver health state monitoring system and method

Abstract

The invention discloses a driver health state monitoring system and method, and belongs to the technical field of intelligent health state monitoring. The system comprises a contact type monitoring sensor, a non-contact type monitoring sensor, a cabin area controller, a central control large screen, a TBOX controller and a remote health management device. Wherein the contact type monitoring sensor, the non-contact type monitoring sensor, the central control large screen and the TBOX controller are all connected with the cabin domain controller; and the TBOX controller is also connected with the remote health management equipment. According to the invention, real-time monitoring of the health state of the driver, health early warning and comprehensive health management service are realized.

Description

Technical Field

[0001] This invention belongs to the field of intelligent health status monitoring technology. Specifically, this invention relates to a driver health status monitoring system and method. Background Technology

[0002] With the rapid development of intelligent vehicle technology and the continuous improvement of vehicle intelligence, driver health monitoring has become an important component of this development. During daily driving, drivers spend long periods in a driving state, making them highly susceptible to health problems such as fatigue, excessive stress, and sudden illnesses. These issues not only seriously affect driving safety but also threaten the driver's own life. Related research indicates that fatigued driving is a significant cause of traffic accidents, and sudden illnesses in drivers can also trigger serious traffic accidents without warning.

[0003] Currently available driver health monitoring systems on the market generally suffer from limited functionality. Most systems can only monitor simple physiological indicators, such as heart rate, lacking a comprehensive assessment of the driver's health status. Furthermore, these systems have low integration levels with remote health management services, failing to provide users with a one-stop health management solution. For example, when abnormalities are detected in the driver's health, they cannot provide timely and effective medical advice and assistance, nor can they offer personalized insurance services based on the driver's health condition.

[0004] Therefore, this invention proposes a driver health status monitoring system and method. Summary of the Invention

[0005] The present invention aims to overcome the shortcomings of the prior art and proposes a driver health status monitoring system and method to achieve the following objectives: to realize real-time monitoring of driver health status, health early warning and comprehensive health management services.

[0006] To achieve the above objectives, the technical solution adopted by the present invention is as follows: a driver health status monitoring system, the system comprising a contact monitoring sensor, a non-contact monitoring sensor, a cockpit domain controller, a central control screen, a TBOX controller, and a remote health management device; wherein the contact monitoring sensor, the non-contact monitoring sensor, the central control screen, and the TBOX controller are all connected to the cockpit domain controller; the TBOX controller is also connected to the remote health management device.

[0007] Preferably, the contact monitoring sensor includes a biosensor and a blood oxygen sensor, which are respectively connected to the cockpit domain controller.

[0008] Preferably, both the biosensor and the blood oxygen sensor are installed on the rim of the steering wheel body.

[0009] Preferably, the non-contact monitoring sensor includes a camera and an infrared sensor, which are respectively connected to the cockpit domain controller.

[0010] Preferably, both the camera and the infrared sensor are mounted on the A-pillar of the vehicle.

[0011] Preferably, the remote health management device includes a remote data platform and a mobile APP, and the remote data platform and the mobile APP communicate remotely with the TBOX controller.

[0012] Preferably, the remote data platform is configured with multiple interfaces for establishing connections with external service platforms, including service platforms provided by medical institutions and insurance companies.

[0013] This invention also proposes a method for monitoring driver health status, using the aforementioned driver health status monitoring system, the method comprising:

[0014] Driver health data is collected using biosensors, blood oxygen sensors, cameras, and infrared sensors and sent to the cockpit domain controller.

[0015] The cockpit domain controller analyzes and processes the driver's health data, including multi-source data fusion, physiological indicator extraction, and abnormal state identification; and packages the processing results and sends them to the TBOX controller and the central control screen respectively. The data sent includes driver identity information, vehicle information, and driver physiological indicators; the physiological indicators include: heart rate, heart rate variability, blood oxygen saturation, respiratory rate, fatigue index, blood pressure, and body temperature.

[0016] After receiving data from the cockpit domain controller, the central control screen displays and warns the driver's health status through data visualization.

[0017] The TBOX controller forwards data sent by the cockpit domain controller to the remote health management device, which then provides remote services to the user.

[0018] Preferably, the multi-source data fusion of the cockpit domain controller includes:

[0019] (1) Integrate the raw data collected by contact monitoring sensors and non-contact monitoring sensors;

[0020] (2) Establish a data timestamp synchronization mechanism to unify the multi-sensor data contained in the original data in terms of time sequence;

[0021] (3) Perform noise reduction, filtering and standardization on the original data.

[0022] Preferably, the abnormal state identification of the cockpit domain controller includes:

[0023] (1) Determine the safe threshold range for each physiological indicator;

[0024] (2) Compare the currently extracted physiological indicators with the corresponding safety threshold range in real time;

[0025] (3) When the currently extracted physiological indicators are detected to exceed the corresponding safety threshold range, an early warning signal is sent to the central control screen and TBOX controller to trigger the early warning mechanism.

[0026] The technical effects of this invention are as follows:

[0027] (1) Comprehensive monitoring: This invention combines contact (biosensor and blood oxygen sensor) and non-contact (camera, infrared sensor) monitoring technologies, which can comprehensively cover the driver's various physiological indicators and assess the driver's health status from multiple dimensions. Compared with traditional single monitoring technologies, it has higher accuracy and comprehensiveness.

[0028] (2) Real-time early warning: The cockpit domain controller of this invention can promptly detect abnormal health conditions of the driver by analyzing the collected data in real time and issue early warning prompts. This function can help the driver take timely measures to avoid traffic accidents caused by health problems and effectively improve driving safety.

[0029] (3) Remote services: Through the remote data platform and mobile APP, users are provided with a variety of remote services such as online consultation, insurance services, and medical services, which breaks the limitations of time and space and allows drivers to access professional health management services anytime and anywhere, greatly improving the user experience.

[0030] (4) Ecosystem Integration: Through multiple interfaces included in the remote data platform, deep integration with partners such as medical institutions and insurance companies is achieved, constructing a complete health management ecosystem. Through resource sharing and collaborative work among all parties, one-stop health management services are provided for drivers, meeting their needs in health monitoring, medical consultation, insurance coverage, and other aspects. Attached Figure Description

[0031] Figure 1 This is a structural block diagram of a driver health status monitoring system provided in an embodiment of the present invention. Detailed Implementation

[0032] The specific embodiments of the present invention will be further described in detail below with reference to the accompanying drawings. This is to help those skilled in the art to have a more complete, accurate, and in-depth understanding of the inventive concept and technical solutions of the present invention, and to facilitate its implementation. It should be noted that the terms "first," "second," etc., used in this application are only for the convenience of describing the technical solutions and to distinguish components; the corresponding component configurations may be the same or different, and are not intended to limit the scope of this application. To make the technical solutions of the present invention clearer, the present invention will be explained and illustrated through the following embodiments.

[0033] This embodiment provides a driver health status monitoring system. The system includes a contact monitoring sensor, a non-contact monitoring sensor, a cockpit domain controller, a central control screen, a TBOX controller, and a remote health management device. The contact monitoring sensor, non-contact monitoring sensor, central control screen, and TBOX controller are all connected to the cockpit domain controller; the TBOX controller is also connected to the remote health management device. The following describes the system in conjunction with... Figure 1 The following provides a further explanation of this system.

[0034] In this embodiment, the contact monitoring sensors include a biosensor and a blood oxygen sensor, both of which are connected to the cockpit domain controller. These two sensors are mounted on the rim of the steering wheel body, ensuring good contact between the sensors and the driver's hands, facilitating data collection during normal driving. The biosensor collects the driver's electrocardiogram (ECG) and heart rate variability (HRV) signals, while the blood oxygen sensor measures blood oxygen saturation (SpO2) using optical principles. The data collected by the biosensor and blood oxygen sensor are transmitted to the cockpit domain controller via a standard serial protocol (e.g., CAN communication protocol), ensuring accurate and timely data transmission.

[0035] The non-contact monitoring sensors in this embodiment include a camera and an infrared sensor, both connected to the cockpit domain controller. Both the camera and infrared sensor are mounted on the A-pillar of the vehicle to ensure clear capture of the driver's facial image, body temperature, respiratory rate, and other information. The camera captures the driver's facial image and analyzes physiological information such as eye movements and facial expressions to determine the driver's fatigue level and mental state. The infrared sensor monitors the driver's body temperature and respiratory rate, providing data support for a comprehensive assessment of the driver's health. The data collected by the camera and infrared sensor can be converted into video signals and transmitted to the cockpit domain controller at high speed and stably via an LVDS harness. The video signals contain timestamps and other information for subsequent data synchronization and analysis.

[0036] This invention combines contact (biosensors and blood oxygen sensors) and non-contact (cameras and infrared sensors) monitoring technologies, which can comprehensively cover various physiological indicators of drivers and assess their health status from multiple dimensions. Compared with traditional single monitoring technologies, it has higher accuracy and comprehensiveness.

[0037] In this embodiment, the cockpit domain controller receives and analyzes data from biosensors, blood oxygen sensors, cameras, and infrared sensors, typically using a built-in health monitoring SDK. During processing, the cockpit domain controller fuses and correlates data from different sensors, extracts the driver's physiological indicators, and makes early warning judgments. The processing results are sent to the central control screen for display, allowing the driver to understand their health status in real time and intuitively. Simultaneously, the data is packaged and sent to the TBOX controller, containing driver identity information, vehicle information, and driver physiological indicators.

[0038] In this embodiment, the central control screen is used for displaying and alerting the driver's health status. On one hand, it visualizes the data sent by the cockpit domain controller, making it easier for the driver to view and improving the user experience. For example, the central control screen can adopt an intuitive graphical interface design, displaying physiological indicators in the form of an instrument panel, graphs, etc., and using color coding (green-yellow-red, etc.) to visually represent health status. On the other hand, the central control screen can serve as part of an alert mechanism to provide timely health warnings to the user. For example, after receiving an alert signal, the central control screen can be set to flash abnormal indicators, display specific health risk prompts through pop-up windows, and provide the driver with immediate intervention suggestions.

[0039] After receiving health data forwarded by the cockpit domain controller, the TBOX controller reliably transmits the data to a remote data platform and mobile app via stable vehicle networking technology, ensuring timely and secure data transmission. Simultaneously, for data security and privacy protection, the TBOX controller formats and securely encrypts the data received from the cockpit domain controller, ensuring that the data is not tampered with or leaked during transmission. The encrypted data is then uploaded to the remote data platform and mobile app via a built-in wireless communication module (such as 4G / 5G), enabling centralized data storage and analysis, and providing a basis for subsequent health alerts and services.

[0040] The remote health management device in this embodiment includes a remote data platform and a mobile APP, which communicate remotely with the TBOX controller. The remote data platform is configured with multiple API interfaces for establishing connections with external service platforms, including those provided by medical institutions and insurance companies. These external service platforms can then provide services such as online consultations, insurance, medical treatment, and escort services. For example, online consultations allow users to consult with professional doctors online via the central control screen or mobile APP, providing timely professional medical advice when drivers discover abnormalities in their health. Insurance services recommend suitable insurance products based on the driver's health condition, providing personalized insurance services and protecting the driver's health and property. Medical treatment services offer appointment booking and remote diagnosis, facilitating quick and convenient medical arrangements and improving efficiency. Escort services provide professional escort services to help users better manage their health, especially for drivers with mobility issues or unfamiliar with medical procedures, offering practical assistance and support.

[0041] During the development of the mobile app, user experience and interface simplicity were prioritized. It features multiple functional interfaces, including health data viewing, health alerts, and health management services. For example, the health data viewing function displays driver health data in intuitive charts and numbers, allowing users to quickly understand their health status. The health alert function includes various alert methods, such as sound, vibration, and pop-ups, ensuring users receive timely notifications of abnormal health conditions. The health management services integrate various service entry points, providing users with convenient one-stop health management services.

[0042] In addition, this embodiment also proposes a method for monitoring driver health status, using a driver health status monitoring system according to the above, the method comprising:

[0043] Driver health data is collected using biosensors, blood oxygen sensors, cameras, and infrared sensors and sent to the cockpit domain controller.

[0044] The cockpit domain controller analyzes and processes the driver's health data, including multi-source data fusion, physiological indicator extraction, and abnormal state identification; and packages the processing results and sends them to the TBOX controller and the central control screen respectively. The data sent includes driver identity information, vehicle information, and driver physiological indicators; the physiological indicators include: heart rate, heart rate variability, blood oxygen saturation, respiratory rate, fatigue index, blood pressure, and body temperature.

[0045] After receiving data from the cockpit domain controller, the central control screen displays and warns the driver's health status through data visualization.

[0046] The TBOX controller forwards data sent by the cockpit domain controller to the remote health management device, which then provides remote services to the user.

[0047] Specifically, the data analysis and processing process of the cockpit domain controller includes three key stages: multi-source data fusion, physiological indicator extraction, and abnormal state identification. Among them:

[0048] The multi-source data fusion in this embodiment includes:

[0049] (1) Integrate raw data collected by contact monitoring sensors and non-contact monitoring sensors, namely biosensors, blood oxygen sensors, cameras and infrared sensors;

[0050] (2) Establish a data timestamp synchronization mechanism to unify the multi-sensor data contained in the original data in terms of time sequence;

[0051] (3) Perform noise reduction, filtering and standardization on the original data.

[0052] The physiological indicator extraction in this embodiment includes:

[0053] (1) Heart rate (HR) calculation: Based on ECG and biosensor data, the existing real-time heart rate interval algorithm is used to accurately measure the number of heartbeats per minute; (2) Heart rate variability (HRV) analysis: Assess the function and stress level of the autonomic nervous system; (3) Blood oxygen saturation (SpO2) monitoring: Real-time detection of blood oxygen content using existing optical sensor algorithms; (4) Respiratory rate assessment: Calculate the number of breaths per minute by combining infrared sensor data; (5) Fatigue index calculation: Analyze eye movement characteristics, combine heart rate variability and existing facial micro-expression recognition algorithms to comprehensively analyze and judge the driver's fatigue state.

[0054] The abnormal state identification in this embodiment includes:

[0055] (1) Determine the safe threshold range for each physiological indicator;

[0056] (2) Compare the currently extracted physiological indicators with the corresponding safety threshold range in real time;

[0057] (3) When the currently extracted physiological indicators are detected to exceed the corresponding safety threshold range, an early warning signal is sent to the central control screen and TBOX controller to trigger the early warning mechanism.

[0058] This invention constructs a comprehensive and efficient driver health status monitoring system. This system can monitor the driver's physiological state in real time and accurately, promptly detect abnormalities and issue early warnings, and provide drivers with comprehensive health management services through a remote data platform and mobile app. The application of this system will effectively improve driving safety, safeguard driver health, and inject new vitality into the development of intelligent vehicles, possessing broad application prospects and market value. In future development, the system's algorithms and functions can be further optimized to improve monitoring accuracy and service quality, bringing a better user experience.

[0059] The present invention has been described above by way of example with reference to the accompanying drawings. Obviously, the specific implementation of the present invention is not limited to the above-described manner. Any non-substantial improvements made using the inventive concept and technical solution; or the direct application of the inventive concept and technical solution to other situations without modification, are all within the protection scope of the present invention.

Claims

1. A driver health status monitoring system, characterized in that: The system includes a contact monitoring sensor, a non-contact monitoring sensor, a cockpit domain controller, a central control screen, a TBOX controller, and a remote health management device; wherein the contact monitoring sensor, the non-contact monitoring sensor, the central control screen, and the TBOX controller are all connected to the cockpit domain controller; the TBOX controller is also connected to the remote health management device.

2. The driver health status monitoring system according to claim 1, characterized in that: The contact monitoring sensors include a biosensor and a blood oxygen sensor, which are respectively connected to the cockpit domain controller.

3. The driver health status monitoring system according to claim 2, characterized in that: Both the biosensor and the blood oxygen sensor are installed on the rim of the steering wheel body.

4. The driver health status monitoring system according to claim 1, characterized in that: The non-contact monitoring sensor includes a camera and an infrared sensor, which are respectively connected to the cockpit domain controller.

5. A driver health status monitoring system according to claim 4, characterized in that: Both the camera and the infrared sensor are mounted on the A-pillar of the vehicle.

6. The driver health status monitoring system according to claim 1, characterized in that: The remote health management device includes a remote data platform and a mobile APP, which communicate remotely with the TBOX controller.

7. A driver health status monitoring system according to claim 1, characterized in that: The remote data platform is configured with multiple interfaces for establishing connections with external service platforms, including those provided by medical institutions and insurance companies.

8. A method for monitoring driver health status, using a driver health status monitoring system according to any one of claims 1-7, characterized in that: The method includes: Driver health data is collected using biosensors, blood oxygen sensors, cameras, and infrared sensors and sent to the cockpit domain controller. The cockpit domain controller analyzes and processes the driver's health data, including multi-source data fusion, physiological indicator extraction, and abnormal state identification; and packages the processing results and sends them to the TBOX controller and the central control screen respectively. The data sent includes driver identity information, vehicle information, and driver physiological indicators; the physiological indicators include: heart rate, heart rate variability, blood oxygen saturation, respiratory rate, fatigue index, blood pressure, and body temperature. After receiving data from the cockpit domain controller, the central control screen displays and warns the driver's health status through data visualization. The TBOX controller forwards data sent by the cockpit domain controller to the remote health management device, which then provides remote services to the user.

9. A method for monitoring driver health status according to claim 8, characterized in that: The multi-source data fusion of the cockpit domain controller includes: (1) Integrate the raw data collected by contact monitoring sensors and non-contact monitoring sensors; (2) Establish a data timestamp synchronization mechanism to unify the multi-sensor data contained in the original data in terms of time sequence; (3) Perform noise reduction, filtering and standardization on the original data.

10. A method for monitoring driver health status according to claim 8, characterized in that: The abnormal state identification of the cockpit domain controller includes: (1) Determine the safe threshold range for each physiological indicator; (2) Compare the currently extracted physiological indicators with the corresponding safety threshold range in real time; (3) When the currently extracted physiological indicators are detected to exceed the corresponding safety threshold range, an early warning signal is sent to the central control screen and TBOX controller to trigger the early warning mechanism.

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