Seat back monitoring method, apparatus and electronic device based on flexible OLED

Abstract

This invention discloses a method, device, and electronic device for monitoring seat backrests based on flexible OLEDs, applicable to vehicle seats. The vehicle seat backrest integrates an array of pressure sensors, a flexible heart rate sensor, and a flexible OLED screen. The method includes: when an occupant is detected in the vehicle seat, collecting pressure distribution information of the seat backrest through the array of pressure sensors and collecting the occupant's heart rate data through the flexible heart rate sensor; generating a pressure distribution heatmap based on the pressure distribution information, and identifying the occupant's current posture health status based on the pressure distribution heatmap and heart rate data; generating an early warning message based on the current posture health status, and displaying the pressure distribution heatmap, heart rate data, and early warning message on the flexible OLED screen. This invention improves the convenience of seat health monitoring and personalized interaction, and can be applied to the field of smart cockpit technology.

Description

Technical Field

[0001] This invention relates to the field of smart cockpit technology, and in particular to a method, device, and electronic device for monitoring seat backrests based on flexible OLED. Background Technology

[0002] With the development of advanced intelligent cockpit technology, in-vehicle seats have evolved from simple seating components into intelligent terminals that combine comfort and functionality. Current in-vehicle seat technologies primarily focus on adjustment functions and basic monitoring, and have not yet achieved deep integration of display, monitoring, and interaction.

[0003] While existing flexible OLED technology has been applied to the field of automotive displays (such as curved screens for central control), these are all independent display screens and have not been integrated with the seat back. Although some smart seats have adjustment functions, they only support physical buttons or central control screen operation, which is not convenient for interaction. Furthermore, the display effect has not been optimized according to the in-vehicle lighting environment, which can easily cause glare at night.

[0004] In summary, existing technologies suffer from drawbacks such as a disconnect between monitoring and display, poor ease of interaction, insufficient light adaptation, and low functional integration, failing to meet the demands of high-end smart cockpits for seat health monitoring and personalized interaction.

[0005] The above problems urgently need to be addressed. Summary of the Invention

[0006] The purpose of this invention is to at least partially solve one of the technical problems existing in the prior art.

[0007] Therefore, one objective of this invention is to provide a seat back monitoring method based on flexible OLED. This method integrates an array of pressure sensors, a flexible heart rate sensor, and a flexible OLED screen into the seat back. By collecting pressure distribution and heart rate data through the array of pressure sensors and the flexible heart rate sensor, the occupant's sitting posture health status is identified, thereby generating early warning information and displaying it on the flexible OLED screen. This allows the occupant to intuitively view their own sitting posture health status and adjust their seat posture based on the flexible OLED screen, improving the convenience of seat health monitoring and personalized interaction.

[0008] Another objective of this invention is to provide a seat back monitoring device based on flexible OLED.

[0009] To achieve the above-mentioned technical objectives, the technical solutions adopted in the embodiments of the present invention include: On one hand, embodiments of the present invention provide a seat back monitoring method based on flexible OLED, applied to vehicle seats. The seat back of the vehicle seat integrates an array of pressure sensors, a flexible heart rate sensor, and a flexible OLED screen. The seat back monitoring method includes the following steps: When an occupant is detected in the vehicle seat, the pressure distribution information of the seat back is collected by the array pressure sensor, and the heart rate data of the occupant is collected by the flexible heart rate sensor. A pressure distribution heatmap is generated based on the pressure distribution information, and the occupant's current sitting posture health status is identified based on the pressure distribution heatmap and the heart rate data. Based on the current sitting posture and health status, an early warning message is generated and displayed on the flexible OLED screen, along with the pressure distribution heatmap, heart rate data, and the early warning message.

[0010] Furthermore, in one embodiment of the present invention, the array-type pressure sensor, the flexible heart rate sensor, and the flexible OLED screen are integrated into the seat back through the following steps: A sensor mounting groove is made on the sponge surface of the seat back on the side closest to the human body; The array-type pressure sensor and the flexible heart rate sensor are embedded in the sensor mounting slot; The flexible OLED screen is attached to the surface of the sponge using adhesive, so that the flexible OLED screen covers the array pressure sensor and the flexible heart rate sensor. A transparent protective film is applied to the upper surface of the flexible OLED screen, so that the transparent protective film and the seat back form an integrated structure.

[0011] Furthermore, in one embodiment of the present invention, the step of generating a pressure distribution heatmap based on the pressure distribution information, and identifying the occupant's current sitting posture health status based on the pressure distribution heatmap and the heart rate data, specifically includes: The real-time pressure value of each sampling point of the array pressure sensor is determined based on the pressure distribution information, and the average pressure value of each sampling point is determined based on the real-time pressure value. The pressure percentage of each sampling point is determined based on the ratio of the real-time pressure value to the average pressure value. The real-time heat map color of each sampling point is determined based on the pressure ratio, and the pressure distribution heat map is generated based on the real-time heat map color. A heart rate spectrum is generated based on the heart rate data. The pressure distribution heatmap and the heart rate spectrum are then input into a pre-trained sitting posture health status recognition model to obtain the current sitting posture health status.

[0012] Furthermore, in one embodiment of the present invention, the sitting posture health status recognition model is trained through the following steps: Acquire pressure distribution and heart rate samples from the test vehicle seats in the test scenario; A pressure distribution heatmap sample is generated based on the pressure distribution sample, a heart rate spectrum sample is generated based on the heart rate sample, and the corresponding sitting posture health status label is determined by manual annotation. The pressure distribution heatmap sample and the heart rate spectrum sample are input into a pre-constructed multi-branch convolutional neural network to obtain a predicted sitting posture health status. The loss value is determined based on the predicted sitting posture health status and the sitting posture health status label; The parameters of the multi-branch convolutional neural network are updated based on the loss value to obtain the trained sitting posture health status recognition model.

[0013] Furthermore, in one embodiment of the present invention, the multi-branch convolutional neural network includes a first convolutional branch, a second convolutional branch, a feature fusion layer, and a fully connected layer. The step of inputting the pressure distribution heatmap samples and the heart rate spectrum samples into the pre-constructed multi-branch convolutional neural network to obtain a predicted sitting posture health status specifically includes: The pressure distribution heatmap sample and the heart rate spectrum sample are respectively input into the first convolution branch and the second convolution branch for convolution processing to obtain pressure distribution features and heart rate spectrum features; The feature fusion layer performs feature fusion on the pressure distribution features and the heart rate spectrum features based on a self-attention mechanism to obtain a fused feature vector. The fused feature vector is mapped to the predicted sitting posture health status through the fully connected layer.

[0014] Furthermore, in one embodiment of the present invention, the step of generating early warning information based on the current sitting posture health status and displaying the pressure distribution heatmap, the heart rate data, and the early warning information on the flexible OLED screen specifically includes: Obtain a preset posture adjustment strategy library, and match the corresponding early warning information in the posture adjustment strategy library according to the current posture health status; Determine the ambient light intensity inside the vehicle, and determine the target screen brightness of the flexible OLED screen based on the ambient light intensity inside the vehicle. The flexible OLED screen displays the pressure distribution heatmap, heart rate data, and warning information based on the target screen brightness, so that the pressure distribution heatmap matches the occupant's back area. When the occupant's back leaves the seat back, the flexible OLED screen will continue to display the pressure distribution heatmap, heart rate data, and warning information from the previous moment until a preset duration is reached.

[0015] Furthermore, in one embodiment of the present invention, the seat back monitoring method further includes the following steps: When a seat adjustment command issued by the occupant on the flexible OLED screen is detected, the corresponding seat adjustment parameters are determined according to the seat adjustment command. The seat adjustment motor is controlled according to the seat adjustment parameters, so that the vehicle seat can automatically adjust its posture.

[0016] On the other hand, embodiments of the present invention provide a seat back monitoring device based on flexible OLED, applied to a vehicle seat. The seat back of the vehicle seat integrates an array of pressure sensors, a flexible heart rate sensor, and a flexible OLED screen. The seat back monitoring device includes: The data acquisition module is used to collect pressure distribution information of the seat back through the array-type pressure sensor and collect the heart rate data of the occupant through the flexible heart rate sensor when an occupant is detected in the vehicle seat. The data processing module is used to generate a pressure distribution heatmap based on the pressure distribution information, and to identify the current sitting posture health status of the occupant based on the pressure distribution heatmap and the heart rate data. The information display module is used to generate early warning information based on the current sitting posture health status, and to display the pressure distribution heat map, the heart rate data and the early warning information through the flexible OLED screen.

[0017] On the other hand, embodiments of the present invention provide an electronic device, including: At least one processor; At least one memory for storing at least one program; When the at least one program is executed by the at least one processor, the at least one processor implements the above-described method for monitoring seat backrests based on flexible OLEDs.

[0018] On the other hand, embodiments of the present invention also provide a computer-readable storage medium storing a processor-executable computer program that, when executed by a processor, implements the above-described method for monitoring seat backrests based on flexible OLEDs.

[0019] On the other hand, embodiments of the present invention also provide a computer program product, including a computer program that, when executed by a processor, implements the above-described method for monitoring seat backrests based on flexible OLEDs.

[0020] The advantages and beneficial effects of the present invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention: This invention relates to a vehicle seat whose backrest integrates an array of pressure sensors, a flexible heart rate sensor, and a flexible OLED screen. When an occupant is detected in the seat, the array of pressure sensors collects pressure distribution information from the seat back, and the flexible heart rate sensor collects the occupant's heart rate data. A pressure distribution heatmap is generated based on the pressure distribution information, and the occupant's current posture health status is identified based on the heatmap and heart rate data. An early warning message is generated based on this status and displayed on the flexible OLED screen. This invention integrates the array of pressure sensors, the flexible heart rate sensor, and the flexible OLED screen into the seat back. By collecting pressure distribution and heart rate data, the occupant's posture health status is identified, generating an early warning message and displaying it on the flexible OLED screen. This allows the occupant to intuitively view their posture health status and adjust their seat posture based on the flexible OLED screen, improving the convenience of seat health monitoring and personalized interaction. Attached Figure Description

[0021] To more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings used in the embodiments of the present invention are described below. It should be understood that the drawings described below are only for the convenience of clearly describing some embodiments of the technical solutions of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0022] Figure 1 A flowchart illustrating the steps of a seat back monitoring method based on flexible OLED provided in an embodiment of the present invention; Figure 2 A structural block diagram of a seat back monitoring device based on flexible OLED provided in an embodiment of the present invention; Figure 3 This is a structural block diagram of an electronic device provided in an embodiment of the present invention. Detailed Implementation

[0023] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention. In the following description, when referring to the accompanying drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the embodiments of this invention; they are merely examples of apparatuses and methods consistent with some aspects of the embodiments of this invention as detailed in the appended claims.

[0024] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains. The terminology used herein is for the purpose of describing embodiments of the invention only and is not intended to limit the invention.

[0025] Existing technologies and devices for in-vehicle seat monitoring and display suffer from the following core defects, resulting in unintuitive health monitoring, poor interactive experience, and insufficient adaptability, thus failing to meet the health ecosystem requirements of high-end intelligent cockpits. Specifically: 1) The monitoring and display are disconnected, and the health information feedback is not intuitive: The existing seat pressure and heart rate monitoring data are only fed back through the central control screen or instrument panel, without a display unit set on the seat itself. Passengers need to shift their eyes to view it, which is not only inconvenient but also affects driving safety. Furthermore, it cannot intuitively present the sitting posture problem in a visual way. 2) Low functional integration, failing to achieve integrated "monitoring-display-interaction": Pressure monitoring, heart rate monitoring, and seat adjustment functions are independent of each other, lacking a unified control core, unable to provide personalized adjustment suggestions based on health monitoring data, and the interaction method is simple and the operation is not convenient enough. 3) Poor compatibility of display devices, unable to fit the curved surface of seats: Traditional rigid displays cannot fit the curved shape of seat backs, and flexible displays are not deeply integrated with seat backs, resulting in problems such as unstable installation, poor fit, and impact on seating comfort. 4) Display brightness is not adaptively adjustable, posing a glare hazard at night: Most existing in-vehicle seat display devices have a fixed brightness and do not dynamically adjust according to the lighting environment inside the vehicle. When the light is dim at night, the excessive brightness can easily cause glare and affect driving safety. 5) Inadequate health early warning mechanism and insufficient timeliness of feedback: Some monitoring seats can only collect health data and do not have a graded early warning function. When the heart rate is abnormal or the sitting posture is improper, it is impossible to issue an accurate early warning through the seat body in a timely manner, resulting in poor health protection effect.

[0026] In summary, existing technologies cannot meet the needs of in-vehicle seat back monitoring for visualized health monitoring, convenient interactive operation, flexible display adaptation, and intelligent light adjustment. This invention integrates a flexible OLED screen with an array-type pressure sensor and a flexible heart rate sensor into the seat back, combining health monitoring, intuitive display, convenient interaction, and light adaptation functions, thus solving the aforementioned technical problems.

[0027] The seat backrest monitoring method based on flexible OLED provided in this invention can be applied to a terminal, a server, or software running on either a terminal or a server. In some embodiments, the terminal can be a smartphone, tablet, laptop, desktop computer, smart speaker, smartwatch, or in-vehicle terminal, but is not limited to these. The server can be configured as an independent physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server providing basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, CDN, and big data and artificial intelligence platforms. The server can also be a node server in a blockchain network. The software can be an application implementing the seat backrest monitoring method based on flexible OLED, but is not limited to the above forms.

[0028] This invention can be used in a wide variety of general-purpose or special-purpose computer system environments or configurations. Examples include: personal computers, server computers, handheld or portable devices, tablet devices, multiprocessor systems, microprocessor-based systems, set-top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, and distributed computing environments including any of the above systems or devices. This invention can be described in the general context of computer-executable instructions, such as program modules, that are executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc., that perform specific tasks or implement specific abstract data types. This invention can also be practiced in distributed computing environments where tasks are performed by remote processing devices connected via a communication network. In distributed computing environments, program modules can reside in local and remote computer storage media, including storage devices.

[0029] It should be noted that in various specific embodiments of the present invention, when processing data related to user identity or characteristics, such as user information, user behavior data, user historical data, and user parking space location information, user permission or consent is obtained first. Furthermore, the collection, use, and processing of this data comply with relevant laws, regulations, and standards. In addition, when embodiments of the present invention require access to sensitive personal information of users, separate permission or consent from the user is obtained through pop-ups or redirection to a confirmation page. Only after obtaining the user's separate permission or consent is the necessary user-related data for the normal operation of the embodiments of the present invention acquired.

[0030] Reference Figure 1 This invention provides a seat back monitoring method based on flexible OLED, applicable to vehicle seats. The vehicle seat back integrates an array of pressure sensors, a flexible heart rate sensor, and a flexible OLED screen. The seat back monitoring method includes the following steps: S101. When an occupant is detected in the vehicle seat, pressure distribution information of the seat back is collected by an array of pressure sensors, and heart rate data of the occupant is collected by a flexible heart rate sensor. S102. Generate a pressure distribution heatmap based on the pressure distribution information, and identify the occupant's current sitting posture health status based on the pressure distribution heatmap and heart rate data. S103. Generate early warning information based on the current sitting posture and health status, and display the pressure distribution heat map, heart rate data and early warning information through a flexible OLED screen.

[0031] Specifically, in this embodiment of the invention, a flexible OLED screen, an array-type pressure sensor, and a flexible heart rate sensor are embedded inside the seat back. These three components are integrated through curved surface bonding and encapsulation technology, ensuring the screen fits snugly against the curved surface of the seat back without compromising seating comfort. Health monitoring is visualized based on sensor data, with a pressure distribution heatmap visually presenting the sitting posture and real-time identification of the health status of the sitting posture using heart rate data, all displayed visually on the flexible OLED screen. Touch interaction functionality is integrated, allowing direct adjustment of the seat angle via the screen. The screen brightness dynamically adapts to the ambient light in the vehicle, avoiding glare at night.

[0032] It can be understood that the embodiments of the present invention integrate an array-type pressure sensor, a flexible heart rate sensor, and a flexible OLED screen into the seat back. By collecting pressure distribution and heart rate data through the array-type pressure sensor and the flexible heart rate sensor, the occupant's sitting posture health status is identified, thereby generating early warning information and displaying it through the flexible OLED screen. This allows the occupant to intuitively view their own sitting posture health status and adjust the seat posture based on the flexible OLED screen, improving the convenience of seat health monitoring and personalized interaction.

[0033] As an optional further implementation, the array-type pressure sensor, flexible heart rate sensor, and flexible OLED screen are integrated into the seat back through the following steps: S201. A sensor mounting groove is made on the sponge surface of the seat back on the side closest to the human body. S202. Embed the array-type pressure sensor and the flexible heart rate sensor into the sensor mounting slot; S203. The flexible OLED screen is bonded to the sponge surface using adhesive, so that the flexible OLED screen covers the array pressure sensor and the flexible heart rate sensor. S204. A transparent protective film is applied to the upper surface of the flexible OLED screen, so that the transparent protective film and the seat back form an integrated structure.

[0034] Specifically, the embodiments of the present invention achieve the integrated integration of a flexible OLED screen, an array-type pressure sensor, a flexible heart rate sensor, and a seat back through the above steps, ensuring that the flexible OLED screen conforms to the curved surface of the seat back without affecting comfort, and also without affecting the data acquisition of the array-type pressure sensor and the flexible heart rate sensor.

[0035] In some alternative embodiments, the array-type pressure sensor may be a resistive / capacitive pressure sensor, and the flexible heart rate sensor may be a radar-type heart rate sensor. Considering that the flexible OLED screen has a certain blocking effect on pressure signals, data calibration can be performed through a preset algorithm.

[0036] As a further optional implementation, a pressure distribution heatmap is generated based on the pressure distribution information, and the occupant's current sitting posture health status is identified based on the pressure distribution heatmap and heart rate data, specifically including: S1021. Determine the real-time pressure value of each sampling point of the array-type pressure sensor based on the pressure distribution information, and determine the average pressure value of each sampling point based on the real-time pressure value. S1022. Determine the pressure percentage of each sampling point based on the ratio of the real-time pressure value to the average pressure value; S1023. Determine the real-time heat map color of each sampling point based on the pressure ratio, and generate a pressure distribution heat map based on the real-time heat map color. S1024. Generate a heart rate spectrum based on heart rate data, and input the pressure distribution heatmap and heart rate spectrum into a pre-trained sitting posture health status recognition model to obtain the current sitting posture health status.

[0037] Specifically, this invention incorporates a pressure sensor in the seat cushion. When the pressure sensor detects a preset pressure threshold, it determines that a passenger has sat down, and the system automatically initiates data acquisition to ensure real-time data transmission. Details are as follows: 1) Pressure data acquisition: The array-type pressure sensors synchronously acquire pressure values ​​P at preset acquisition points (6 at the top of the backrest, 18 in the middle, and 12 at the bottom). ij (i is the row number of the data collection point, j is the column number of the data collection point, unit: N), record the pressure distribution at each data collection point; 2) Heart rate data acquisition: The flexible heart rate sensor is attached to the passenger's back contact area to collect heart rate signals, filter out human motion interference, and extract the effective heart rate value HR (unit: beats / minute); 3) Data preprocessing: Initially filter sensor noise signals and remove abnormal data (such as invalid data with pressure values ​​> 500N, heart rate values ​​< 40 beats / minute or > 180 beats / minute) to ensure that the collected data is accurate and reliable.

[0038] After obtaining the pressure distribution information and heart rate data, the following data processing was performed: 1) Pressure data processing: Calculate the average pressure value of each sampling point, and then determine the pressure ratio of each sampling point based on the ratio of the real-time pressure value to the average pressure value; divide the different sampling points into different pressure levels according to the pressure ratio, and assign different heat map colors to the sampling points of different pressure levels (pressure levels from low to high correspond to blue → green → yellow → red); generate pressure distribution heat map data and map the heat map color gradient; 2) Heart rate data processing: Calculate the average heart rate (HR) based on real-time heart rate values ​​from multiple consecutive moments. avg (e.g., the average of 5 consecutive data collections) to determine whether the heart rate status is normal; determine the heart rate time series data based on the real-time heart rate values ​​at multiple consecutive moments, perform a short-time Fourier transform on the heart rate time series data, and obtain the corresponding heart rate spectrum. 3) Comprehensive assessment of sitting posture health status: Input the pressure distribution heatmap and heart rate spectrum into the pre-trained sitting posture health status recognition model to identify the current sitting posture health status.

[0039] As an optional implementation, the sitting posture health status recognition model is trained through the following steps: S301. Obtain pressure distribution samples and heart rate samples collected from the test vehicle seat in the test scenario; S302. Generate a pressure distribution heat map sample based on the pressure distribution sample, generate a heart rate spectrum map sample based on the heart rate sample, and determine the corresponding sitting posture health status label through manual annotation. S303. Input the pressure distribution heatmap samples and heart rate spectrum samples into a pre-constructed multi-branch convolutional neural network to obtain the predicted sitting posture health status. S304. Determine the loss value based on the predicted sitting posture health status and the sitting posture health status label. S305. Update the parameters of the multi-branch convolutional neural network based on the loss value to obtain the trained sitting posture health status recognition model.

[0040] Specifically, pressure distribution samples and heart rate samples are collected from the seats of test vehicles in the test scenario; pressure distribution heatmap samples are generated based on the pressure distribution samples, and heart rate spectrum samples are generated based on the heart rate samples, and corresponding sitting posture health status labels are determined through manual annotation; the pressure distribution heatmap samples and heart rate spectrum samples are input into a pre-constructed multi-branch convolutional neural network to obtain the predicted sitting posture health status; the loss value is determined based on the predicted sitting posture health status and the sitting posture health status label; the parameters of the multi-branch convolutional neural network are updated based on the loss value to complete one iteration of training. When the number of iterations reaches a preset threshold, or the loss value is lower than the preset threshold, training stops, and the trained sitting posture health status recognition model is obtained.

[0041] As a further optional implementation, the multi-branch convolutional neural network includes a first convolutional branch, a second convolutional branch, a feature fusion layer, and a fully connected layer. Pressure distribution heatmap samples and heart rate spectrum samples are input into the pre-constructed multi-branch convolutional neural network to obtain a predicted sitting posture health status, specifically including: S3031. Input the pressure distribution heatmap sample and the heart rate spectrum sample into the first convolution branch and the second convolution branch respectively for convolution processing to obtain the pressure distribution features and heart rate spectrum features. S3032. The feature fusion layer performs feature fusion on the pressure distribution features and heart rate spectrum features based on the self-attention mechanism to obtain the fused feature vector. S3033: The fused feature vector is mapped to the predicted sitting posture health status through a fully connected layer.

[0042] Specifically, the multi-branch convolutional neural network includes a first convolutional branch, a second convolutional branch, a feature fusion layer, and a fully connected layer. The first and second convolutional branches are used to perform convolution processing on the pressure distribution heatmap samples and the heart rate spectrum samples, respectively, to obtain pressure distribution features and heart rate spectrum features. The feature fusion layer is used to fuse the pressure distribution features and heart rate spectrum features based on a self-attention mechanism to obtain a fused feature vector. The fully connected layer is used to map the fused feature vector to predict the sitting posture health status.

[0043] It should be noted that the sitting posture health status label in this embodiment of the invention includes two scenarios. When the sitting posture is correct, the sitting posture health status label indicates normal sitting posture. When the sitting posture is incorrect, the sitting posture health status label will indicate a specific description of the improper sitting posture, such as "excessive pressure on the lower back".

[0044] As a further optional implementation, an early warning message is generated based on the current sitting posture health status, and the pressure distribution heatmap, heart rate data, and early warning message are displayed on a flexible OLED screen, specifically including: S1031. Obtain a preset sitting posture adjustment strategy library, and match the corresponding warning prompt information in the sitting posture adjustment strategy library according to the current sitting posture health status. S1032. Determine the ambient light intensity inside the vehicle and determine the target screen brightness of the flexible OLED screen based on the ambient light intensity inside the vehicle. S1033, The pressure distribution heat map, heart rate data and warning information are displayed on a flexible OLED screen based on the target screen brightness, so that the pressure distribution heat map matches the back area of ​​the occupant; When the occupant's back leaves the seat back, the flexible OLED screen will continuously display the previous moment's pressure distribution heat map, heart rate data, and warning information until the preset time is reached.

[0045] Specifically, based on the aforementioned data processing results, display instructions are generated to control the flexible OLED screen to achieve visual display and brightness adjustment, as follows: 1) Heat map display: The pressure distribution data is mapped to a heat map and displayed in the corresponding area of ​​the flexible OLED screen. The red area marks the area with excessive pressure, and the text prompt "Excessive pressure" is displayed simultaneously. 2) Heart rate information display: The average heart rate (HR) is displayed at the top of the screen. avg Heart rate status: normal status is displayed in green text, and abnormal status is displayed in yellow text that flashes. 3) Warning message display: Based on the current health status of sitting posture, the system matches the corresponding warning message from the posture adjustment strategy library, such as "Excessive pressure on the lower back, please adjust the seat back angle"; 4) Screen Brightness Adjustment: The ambient light intensity L inside the vehicle is synchronously collected for adaptive screen brightness adjustment. Based on the light intensity value, scenarios are categorized as strong light (L≥800 lux, such as direct sunlight inside the car during the day), medium light (200 lux<L<800 lux, such as cloudy days or evenings), and weak light (L≤200 lux, such as nighttime or inside tunnels). The target screen brightness L is calculated using a quantification formula. oled Formula L oled= k×L + L0, where k is the light intensity adaptation coefficient (k=0.2 for strong light scenes, k=0.4 for medium light scenes, and k=0.1 for weak light scenes), and L0 is the base brightness (fixed at 30 nits), with the constraint 50 nits≤L. oled ≤300 nits, to avoid the brightness being too low to see clearly or too high to cause glare.

[0046] It should be noted that the flexible OLED screen in this embodiment of the invention will switch between real-time update / delayed display mode depending on whether the occupant's back is off the seat back. When the occupant's back is not off the seat back, the flexible OLED screen will update the current pressure distribution heat map, heart rate data and warning information in real time. When the occupant's back is off the seat back, the flexible OLED screen will continue to display the pressure distribution heat map, heart rate data and warning information from the previous moment until the preset time is reached, so that the occupant can check their own sitting posture health status.

[0047] As an optional implementation, the seat back monitoring method further includes the following steps: S104. When a seat adjustment command issued by an occupant on the flexible OLED screen is detected, the corresponding seat adjustment parameters are determined according to the seat adjustment command. S105. Control the seat adjustment motor according to the seat adjustment parameters so that the vehicle seat can automatically adjust its posture.

[0048] Specifically, the flexible OLED screen in this embodiment of the invention supports touch operation. After checking their own sitting posture and health status, passengers can directly adjust the seat parameters through the screen: the screen touch unit recognizes touch operations (such as swiping, clicking) and corresponds to the seat adjustment function (for example, swiping up corresponds to the seat back reclining, swiping down corresponds to the seat back tilting forward, and clicking the middle of the screen corresponds to pausing the seat adjustment); after receiving the touch command, the main control module sends a control signal to the seat adjustment motor to execute the adjustment operation. During the adjustment process, the screen displays the adjustment angle (such as "current angle 110°"); after the seat is adjusted to the target posture, the screen displays a "adjustment complete" prompt to confirm that the operation has taken effect.

[0049] The method steps of the embodiments of the present invention have been described above. It can be understood that the embodiments of the present invention integrate an array-type pressure sensor, a flexible heart rate sensor, and a flexible OLED screen into the seat back. By collecting pressure distribution and heart rate data through the array-type pressure sensor and the flexible heart rate sensor, the occupant's posture health status is identified, thereby generating early warning information and displaying it on the flexible OLED screen. This allows the occupant to intuitively view their own posture health status and adjust the seat posture based on the flexible OLED screen, improving the convenience of seat health monitoring and personalized interaction.

[0050] Reference Figure 2 This invention provides a seat back monitoring device based on flexible OLED, applied to vehicle seats. The seat back of the vehicle seat integrates an array of pressure sensors, a flexible heart rate sensor, and a flexible OLED screen. The seat back monitoring device includes: The data acquisition module is used to collect pressure distribution information of the seat back through an array of pressure sensors and collect the heart rate data of the occupant through a flexible heart rate sensor when an occupant is detected in the vehicle seat. The data processing module is used to generate a pressure distribution heatmap based on pressure distribution information, and to identify the current sitting posture health status of the occupant based on the pressure distribution heatmap and heart rate data. The information display module is used to generate early warning information based on the current sitting posture and health status, and to display pressure distribution heatmap, heart rate data and early warning information through a flexible OLED screen.

[0051] It is understood that the content of the above method embodiments is applicable to the present device embodiments. The specific functions implemented by the present device embodiments are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0052] Reference Figure 3 This invention provides an electronic device, comprising: At least one processor; At least one memory for storing at least one program; When the above-mentioned at least one program is executed by the above-mentioned at least one processor, the above-mentioned at least one processor implements the above-mentioned flexible OLED-based seat back monitoring method.

[0053] It is understood that the content of the above method embodiments is applicable to this device embodiment. The specific functions implemented by this device embodiment are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0054] This invention also provides a computer-readable storage medium storing a processor-executable computer program that, when executed by a processor, implements the aforementioned flexible OLED-based seat back monitoring method.

[0055] This invention provides a computer-readable storage medium that can execute a seat back monitoring method based on flexible OLED provided in the method embodiment of this invention. It can execute any combination of the implementation steps of the method embodiment and has the corresponding functions and beneficial effects of the method.

[0056] This invention also provides a computer program product, including a computer program that, when executed by a processor, implements the aforementioned flexible OLED-based seat back monitoring method.

[0057] It is understood that the content of the above method embodiments is applicable to the embodiments of this program product. The specific functions implemented by the embodiments of this program product are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0058] Memory, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs and non-transitory computer-executable programs. Furthermore, memory may include high-speed random access memory, and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, memory may optionally include memory remotely located relative to the processor, and these remote memories can be connected to the processor via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0059] The embodiments described in this invention are for the purpose of more clearly illustrating the technical solutions of the embodiments of this invention, and do not constitute a limitation on the technical solutions provided by the embodiments of this invention. As those skilled in the art will know, with the evolution of technology and the emergence of new application scenarios, the technical solutions provided by the embodiments of this invention are also applicable to similar technical problems.

[0060] The terms "first," "second," "third," "fourth," etc. (if present) in the specification and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0061] In some alternative embodiments, the functions / operations mentioned in the block diagrams may not occur in the order shown in the operation diagrams. For example, depending on the functions / operations involved, two consecutively shown blocks may actually be executed substantially simultaneously, or the aforementioned blocks may sometimes be executed in reverse order. Furthermore, the embodiments presented and described in the flowcharts of this invention are provided by way of example to provide a more comprehensive understanding of the technology. The disclosed methods are not limited to the operations and logic flows presented herein. Alternative embodiments are contemplated in which the order of various operations is changed and sub-operations described as part of a larger operation are executed independently.

[0062] Furthermore, although the invention has been described in the context of functional modules, it should be understood that, unless otherwise stated, one or more of the aforementioned functions and / or features may be integrated into a single physical device and / or software module, or one or more functions and / or features may be implemented in a separate physical device or software module. It is also understood that a detailed discussion of the actual implementation of each module is unnecessary for understanding the invention. Rather, given the properties, functions, and internal relationships of the various functional modules in the apparatus disclosed herein, the actual implementation of the module will be understood within the scope of conventional skill of an engineer. Therefore, those skilled in the art can implement the invention as set forth in the claims using ordinary techniques without excessive experimentation. It is also understood that the specific concepts disclosed are merely illustrative and not intended to limit the scope of the invention, which is determined by the full scope of the appended claims and their equivalents.

[0063] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0064] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-including system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device.

[0065] More specific examples (a non-exhaustive list) of computer-readable media include: electrical connections (electronic devices) having one or more wires, portable computer disk drives (magnetic devices), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Furthermore, computer-readable media can even be paper or other suitable media on which the aforementioned program can be printed, because the aforementioned program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in computer memory.

[0066] It should be understood that various parts of the present invention can be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0067] In the foregoing description of this specification, references to terms such as "one embodiment," "another embodiment," or "some embodiments" indicate that a specific feature, structure, material, or characteristic described in connection with an embodiment or example is included in at least one embodiment or example of the present invention. In this specification, illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0068] Although embodiments of the invention have been shown and described, those skilled in the art will understand that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.

[0069] The above is a detailed description of the preferred embodiments of the present invention. However, the present invention is not limited to the above embodiments. Those skilled in the art can make various equivalent modifications or substitutions without departing from the spirit of the present invention. All such equivalent modifications or substitutions are included within the scope defined by the claims of the present invention.

Claims

1. A method for monitoring seat backrests based on flexible OLEDs, characterized in that, Applied to vehicle seats, the seat back integrates an array of pressure sensors, a flexible heart rate sensor, and a flexible OLED screen. The seat back monitoring method includes the following steps: When an occupant is detected in the vehicle seat, the pressure distribution information of the seat back is collected by the array pressure sensor, and the heart rate data of the occupant is collected by the flexible heart rate sensor. A pressure distribution heatmap is generated based on the pressure distribution information, and the occupant's current sitting posture health status is identified based on the pressure distribution heatmap and the heart rate data. Based on the current sitting posture and health status, an early warning message is generated and displayed on the flexible OLED screen, along with the pressure distribution heatmap, heart rate data, and the early warning message.

2. The seat backrest monitoring method based on flexible OLED according to claim 1, characterized in that, The array-type pressure sensor, the flexible heart rate sensor, and the flexible OLED screen are integrated into the seat back through the following steps: A sensor mounting groove is made on the sponge surface of the seat back on the side closest to the human body; The array-type pressure sensor and the flexible heart rate sensor are embedded in the sensor mounting slot; The flexible OLED screen is attached to the surface of the sponge using adhesive, so that the flexible OLED screen covers the array pressure sensor and the flexible heart rate sensor. A transparent protective film is applied to the upper surface of the flexible OLED screen, so that the transparent protective film and the seat back form an integrated structure.

3. The seat backrest monitoring method based on flexible OLED according to claim 1, characterized in that, The step of generating a pressure distribution heatmap based on the pressure distribution information, and identifying the occupant's current sitting posture health status based on the pressure distribution heatmap and the heart rate data, specifically includes: The real-time pressure value of each sampling point of the array pressure sensor is determined based on the pressure distribution information, and the average pressure value of each sampling point is determined based on the real-time pressure value. The pressure percentage of each sampling point is determined based on the ratio of the real-time pressure value to the average pressure value. The real-time heat map color of each sampling point is determined based on the pressure ratio, and the pressure distribution heat map is generated based on the real-time heat map color. A heart rate spectrum is generated based on the heart rate data. The pressure distribution heatmap and the heart rate spectrum are then input into a pre-trained sitting posture health status recognition model to obtain the current sitting posture health status.

4. The seat backrest monitoring method based on flexible OLED according to claim 3, characterized in that, The sitting posture health status recognition model is trained through the following steps: Acquire pressure distribution and heart rate samples from the test vehicle seats in the test scenario; A pressure distribution heatmap sample is generated based on the pressure distribution sample, a heart rate spectrum sample is generated based on the heart rate sample, and the corresponding sitting posture health status label is determined by manual annotation. The pressure distribution heatmap sample and the heart rate spectrum sample are input into a pre-constructed multi-branch convolutional neural network to obtain a predicted sitting posture health status. The loss value is determined based on the predicted sitting posture health status and the sitting posture health status label; The parameters of the multi-branch convolutional neural network are updated based on the loss value to obtain the trained sitting posture health status recognition model.

5. The seat backrest monitoring method based on flexible OLED according to claim 4, characterized in that, The multi-branch convolutional neural network includes a first convolutional branch, a second convolutional branch, a feature fusion layer, and a fully connected layer. The step of inputting the pressure distribution heatmap samples and the heart rate spectrum samples into the pre-constructed multi-branch convolutional neural network to obtain a predicted sitting posture health status specifically includes: The pressure distribution heatmap sample and the heart rate spectrum sample are respectively input into the first convolution branch and the second convolution branch for convolution processing to obtain pressure distribution features and heart rate spectrum features; The feature fusion layer performs feature fusion on the pressure distribution features and the heart rate spectrum features based on a self-attention mechanism to obtain a fused feature vector. The fully connected layer maps the fused feature vector to the predicted sitting posture health status.

6. The seat backrest monitoring method based on flexible OLED according to claim 1, characterized in that, The step of generating an early warning message based on the current sitting posture health status and displaying the pressure distribution heatmap, heart rate data, and early warning message on the flexible OLED screen specifically includes: Obtain a preset posture adjustment strategy library, and match the corresponding early warning information in the posture adjustment strategy library according to the current posture health status; Determine the ambient light intensity inside the vehicle, and determine the target screen brightness of the flexible OLED screen based on the ambient light intensity inside the vehicle. The flexible OLED screen displays the pressure distribution heatmap, heart rate data, and warning information based on the target screen brightness, so that the pressure distribution heatmap matches the occupant's back area. When the occupant's back leaves the seat back, the flexible OLED screen will continue to display the pressure distribution heatmap, heart rate data, and warning information from the previous moment until a preset duration is reached.

7. A method for monitoring seat backrests based on flexible OLEDs according to any one of claims 1 to 6, characterized in that, The seat back monitoring method also includes the following steps: When a seat adjustment command issued by the occupant on the flexible OLED screen is detected, the corresponding seat adjustment parameters are determined according to the seat adjustment command. The seat adjustment motor is controlled according to the seat adjustment parameters, so that the vehicle seat can automatically adjust its posture.

8. A seat back monitoring device based on flexible OLED, characterized in that, Applied to vehicle seats, the seat back integrates an array of pressure sensors, a flexible heart rate sensor, and a flexible OLED screen. The seat back monitoring device includes: The data acquisition module is used to collect pressure distribution information of the seat back through the array-type pressure sensor and collect the heart rate data of the occupant through the flexible heart rate sensor when an occupant is detected in the vehicle seat. The data processing module is used to generate a pressure distribution heatmap based on the pressure distribution information, and to identify the current sitting posture health status of the occupant based on the pressure distribution heatmap and the heart rate data. The information display module is used to generate early warning information based on the current sitting posture health status, and to display the pressure distribution heat map, the heart rate data and the early warning information through the flexible OLED screen.

9. An electronic device, characterized in that, include: At least one processor; At least one memory for storing at least one program; When the at least one program is executed by the at least one processor, the at least one processor implements a seat back monitoring method based on a flexible OLED as described in any one of claims 1 to 7.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements a seat back monitoring method based on flexible OLED as described in any one of claims 1 to 7.

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