Student sitting posture height identification method and device based on computer vision and processing equipment

Abstract

The invention relates to a student sitting posture height identification method and device based on computer vision and processing equipment. The method comprises the following steps: acquiring an image of a student position through a camera deployed in a vehicle, and identifying key points of a student body by using an image processing module; detecting the pressure distribution of the student on the seat by using a pressure sensor array; according to the key points, obtained in the step S1, of the body of the student and the pressure distribution, obtained in the step S2, of the student on the seat, data fusion analysis is conducted on the key points and the pressure distribution so as to judge the sitting posture height of the student; according to the sitting posture height obtained after identification and analysis, the position and angle of the seat are automatically adjusted, and a personalized driving environment is provided for students. The sitting posture of the student can be accurately and rapidly recognized, and the seat arrangement is automatically adjusted according to the sitting posture, so that the height requirements of different students are met. The teaching efficiency is improved, and each student can obtain the most suitable sitting posture, so that the overall quality and safety of driving training are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of automobile driving training safety, and in particular to a method, a device and a processing device for recognizing the height of a trainee's sitting posture based on computer vision. Background Art

[0002] With the widespread popularity of automobile driving education, the diversity of driving school students has put forward more stringent requirements on teaching quality and safety standards. In driving training practice, adjusting the appropriate sitting posture of students is not only the cornerstone of skill learning, but also an important guarantee for driving safety. However, in the face of significant height differences between students, the traditional sitting posture adjustment method that relies on the coach's experience and judgment seems to be inadequate, inefficient and difficult to ensure personalized adaptation.

[0003] In recent years, the leap forward in computer vision and sensor technology has brought new solutions to student posture recognition. Although methods based on image recognition and pressure distribution detection have been tried to be applied in this field, they still face many challenges in actual operation: image recognition is easily affected by environmental factors such as lighting and occlusion, while pressure distribution sensors face the contradiction between high precision requirements and high costs, making it difficult to popularize in large-scale application environments such as driving schools. The existing technology has at least the following disadvantages: the accuracy is greatly affected by the external environment, the high cost of high-precision sensors, and the high complexity of data processing, which is not conducive to large-scale application and promotion. Summary of the invention

[0004] In view of the shortcomings of the current related existing technologies, the present invention provides a method, device and processing equipment for identifying the height of a student's sitting posture based on computer vision, a method for identifying the height of a student's sitting posture based on image recognition and a method for identifying the height of a student's sitting posture based on a pressure distribution sensor, which can achieve accurate and rapid identification of the height of a student's sitting posture, and automatically adjust the seat settings accordingly to match the height requirements of different students. The present invention aims to improve teaching efficiency and ensure that each student can obtain the sitting posture that best suits him or her, thereby improving the overall quality and safety of driving training.

[0005] To achieve the above object, the present invention provides a method for identifying the height of a student's sitting posture based on computer vision, which at least comprises the following steps:

[0006] S1: The camera deployed in the vehicle collects images of the trainee’s position and uses the image processing module to identify key points of the trainee’s body;

[0007] S2. Arrange a pressure sensor array on the seat and use the pressure sensor array to detect the pressure distribution of the trainee on the seat;

[0008] S3, based on the key points of the student's body obtained in step S1 and the pressure distribution of the student on the seat obtained in step S2, performing data fusion analysis on the two to determine the sitting height of the student;

[0009] S4. According to the sitting height obtained after identification and analysis in step S3, the seat position and angle are automatically adjusted to provide a personalized driving environment for the trainee.

[0010] Furthermore, in step S1, the key points of the student's body include one or more of the positions of shoulders, hips and the center of eyes.

[0011] Furthermore, in step S1, a pressure sensor array is arranged on the seat cushion and backrest of the seat, and the sitting posture of the trainee is identified by detecting the pressure distribution of the trainee on the seat; at the same time, the seat back angle is detected in combination with the seat angle sensor, so as to obtain more accurate sitting posture information.

[0012] Furthermore, it also includes converting the analysis results into adjustment instructions and displaying them on the device, while driving the seat adjustment mechanism to execute the adjustment instructions to achieve automatic adjustment of the seat position and angle.

[0013] The second aspect of the present invention provides a device for identifying the height of a student's sitting posture based on computer vision, and the device for identifying the height of a student's sitting posture is used to implement the above method. The device for identifying the height of a student's sitting posture at least includes a camera, a pressure sensor array, an angle sensor, a data processing unit and a display unit, wherein

[0014] The camera is installed inside the vehicle and is responsible for capturing the student's sitting posture image;

[0015] The pressure sensor array is arranged on the seat cushion and the backrest to sense the pressure distribution of the trainee on the seat;

[0016] The angle sensor is used to measure the seat back angle to assist in determining the student's sitting posture;

[0017] The data processing unit is used to process and analyze the collected data to obtain the height status of the student's sitting posture;

[0018] The display unit is used to display the recognition result and provide corresponding adjustment suggestions.

[0019] Furthermore, the device for identifying the height of a student's sitting posture also includes a user interaction interface, which allows the student to input personal information so that the system can more accurately determine the sitting posture status.

[0020] Furthermore, the data processing unit also includes a machine learning algorithm module; the machine learning algorithm module continuously optimizes the sitting posture height recognition model by analyzing the sitting posture data of a large number of students, thereby improving the recognition accuracy; in addition, the machine learning algorithm module can also predict and remind students of possible discomfort based on their sitting posture habits, so as to make adjustments in advance.

[0021] Furthermore, the high-definition camera also has the function of automatically adjusting exposure and contrast; in a dimly lit environment, the camera will automatically turn on the fill light to ensure that the image is clearly visible.

[0022] The third aspect of the present invention provides a computer vision-based device for identifying and processing the height of a student's sitting posture, which is used to implement the above method. The device at least comprises a data acquisition module, an image processing module, a data analysis module and an output module.

[0023] The data acquisition module is responsible for collecting data from sensors such as cameras, pressure sensors and angle sensors;

[0024] The image processing module is responsible for processing the image data collected by the camera and identifying the key points of the student's body;

[0025] The data analysis module is responsible for fusing and analyzing the image recognition results with the pressure distribution detection results to obtain the height status of the student's sitting posture;

[0026] The output module is responsible for displaying the recognition results and adjustment suggestions on the display device; converting the analysis results into adjustment instructions, and driving the seat adjustment mechanism to execute the adjustment instructions to achieve automatic adjustment of the seat position and angle.

[0027] The present invention adopts the above technical solution, which combines image recognition and pressure distribution detection technology. Through the camera and pressure sensor array installed inside the vehicle, the student's sitting posture image and seat pressure distribution data are collected in real time. Advanced image processing algorithms are used to identify the key points of the student's body (such as shoulders, buttocks and the middle position of the eyes), and the student's sitting height is comprehensively judged in combination with the pressure distribution data. Subsequently, according to the recognition results, the seat position and angle are automatically adjusted to provide a personalized driving environment for the student. The present invention has at least the following beneficial effects: 1) High-precision recognition: combining image recognition and pressure distribution detection technology to improve the accuracy and stability of sitting posture recognition. 2) Automatic adjustment: Automatically adjust the seat position and angle according to the student's sitting height, reduce manual intervention, and improve teaching efficiency. 3) Personalized teaching: Provide the most suitable driving teaching settings for students of different heights, improve teaching quality and students' learning experience. 4) Privacy protection: Data collection and processing are performed under the premise of protecting user privacy. 5) Low cost: Use cost-effective sensors and data processing equipment to reduce overall costs. 6) Easy to promote: Suitable for large-scale application scenarios such as driving schools to improve teaching quality and safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0029] Figure 1 It is a flow chart of the method for identifying the height of a student's sitting posture based on computer vision of the present invention;

[0030] Figure 2 It is a structural schematic diagram of a device for identifying the height of a student's sitting posture based on computer vision of the present invention;

[0031] Figure 3 It is a structural schematic diagram of a student's sitting posture height recognition and processing device based on computer vision of the present invention. DETAILED DESCRIPTION

[0032] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Instead, they are merely examples of devices and methods consistent with some aspects of the present invention as detailed in the appended claims.

[0033] like Figure 1 As shown, the first aspect of this embodiment provides a method for identifying the height of a student's sitting posture based on computer vision, which at least includes the following steps:

[0034] S1: The camera deployed in the vehicle collects images of the trainee’s position and uses the image processing module to identify key points of the trainee’s body;

[0035] S2. Arrange a pressure sensor array on the seat and use the pressure sensor array to detect the pressure distribution of the trainee on the seat;

[0036] S3, based on the key points of the student's body obtained in step S1 and the pressure distribution of the student on the seat obtained in step S2, performing data fusion analysis on the two to determine the sitting height of the student;

[0037] S4. According to the sitting height obtained after identification and analysis in step S3, the seat position and angle are automatically adjusted to provide a personalized driving environment for the trainee.

[0038] As a preferred implementation, in step S1 of this embodiment, the key points of the student's body include one or more of the positions of shoulders, hips, and the center of the eyes.

[0039] As a preferred implementation, in step S1 of this embodiment, a pressure sensor array is arranged on the seat cushion and backrest of the seat, and the sitting posture of the trainee is identified by detecting the pressure distribution of the trainee on the seat; at the same time, the seat back angle is detected in combination with a seat angle sensor to obtain more accurate sitting posture information.

[0040] As a preferred implementation, this embodiment also includes converting the analysis results into adjustment instructions and displaying them on the device, while driving the seat adjustment mechanism to execute the adjustment instructions to achieve automatic adjustment of the seat position and angle.

[0041] It should be noted that in the student sitting posture recognition method based on image recognition: this method collects images of the student's position through the camera deployed in the vehicle, uses the image processing module to identify the key points of the student's body (such as the middle position of the eyes), and determines the height of the student's sitting posture based on the key point position information.

[0042] In the method of student sitting posture recognition based on pressure distribution sensor: This method arranges pressure sensor arrays on the seat cushion and backrest of the seat, and recognizes the sitting posture of the driver and passenger by detecting the pressure distribution of the driver and passenger on the seat. At the same time, the seat angle sensor is combined to detect the seat back angle, so as to obtain more accurate sitting posture information.

[0043] In this embodiment, the present invention combines image recognition and pressure distribution detection technology, and collects the trainee's sitting posture image and seat pressure distribution data in real time through the camera and pressure sensor array installed inside the vehicle. Advanced image processing algorithms are used to identify the key points of the trainee's body (such as shoulders, buttocks and the middle of the eyes), and the trainee's sitting height is comprehensively judged in combination with the pressure distribution data. Subsequently, according to the recognition results, the seat position and angle are automatically adjusted to provide the trainee with a personalized driving environment.

[0044] like Figure 2 As shown, the second aspect of the present invention provides a device for identifying the height of a student's sitting posture based on computer vision, and the device for identifying the height of a student's sitting posture is used to implement the above method. The device for identifying the height of a student's sitting posture at least includes a camera, a pressure sensor array, an angle sensor, a data processing unit and a display unit, wherein

[0045] The camera is installed inside the vehicle and is responsible for capturing the student's sitting posture image; the pressure sensor array is arranged on the seat cushion and the seat back, and is used to sense the student's pressure distribution on the seat; the angle sensor is used to measure the seat back angle to assist in determining the student's sitting posture; the data processing unit is used to process and analyze the collected data to obtain the student's sitting height status; the display unit is used to display the recognition results and provide corresponding adjustment suggestions.

[0046] It is necessary to add that:

[0047] Camera: A high-definition camera is installed at an appropriate location inside the vehicle and is responsible for capturing images of the trainees’ sitting posture.

[0048] Pressure sensor array: arranged on the seat cushion and backrest to accurately sense the pressure distribution of the students.

[0049] Angle sensor: measures the seat back angle to assist in determining the sitting posture.

[0050] Data processing unit: integrates image processing and data analysis functions, processes sensor data and outputs adjustment instructions. Display unit: displays recognition results and adjustment suggestions, and provides intuitive feedback.

[0051] In a further embodiment of the present invention, the student sitting posture height recognition device further comprises a user interaction interface, which allows the student to input personal information, such as height, weight, etc., so that the system can more accurately determine the sitting posture state. In addition, the user interaction interface can also provide an option to manually adjust the seat position so that the student can make fine adjustments according to personal preferences.

[0052] In order to improve the accuracy and reliability of the system, the data processing unit also includes a machine learning algorithm module. This module continuously optimizes the sitting height recognition model by analyzing a large number of students' sitting posture data, thereby improving the recognition accuracy. In addition, the module can also predict and remind students of possible discomfort based on their sitting posture habits, so that they can make adjustments in advance.

[0053] In order to ensure the quality of the students' sitting posture images captured under different lighting conditions, the HD camera also has the function of automatically adjusting exposure and contrast. In a dark environment, the camera will automatically turn on the fill light to ensure clear images.

[0054] In another embodiment of the present invention, the pressure sensor array is made of a flexible material, which can better fit the seat surface, thereby improving the measurement accuracy of pressure distribution. At the same time, the pressure sensor array also has a self-calibration function, which can automatically adjust the sensitivity of the sensor to adapt to the weight changes of different students.

[0055] In order to help students understand the effect of sitting posture adjustment, the display unit also has a 3D simulation demonstration function. When the system recognizes that the sitting posture is improper, the display unit will display a 3D model to simulate the effect of the adjusted sitting posture, helping students to intuitively understand how to adjust the sitting posture.

[0056] In summary, the device for identifying the height of a student's sitting posture provided by the present invention can not only accurately identify the student's sitting posture, but also provide personalized adjustment suggestions, thereby helping the student maintain a correct sitting posture and preventing physical discomfort caused by prolonged bad sitting posture.

[0057] like Figure 3 As shown, the third aspect of the present invention provides a student sitting posture height recognition processing device based on computer vision, the student sitting posture height recognition processing device is used to implement the above method, the student sitting posture height recognition processing device at least includes a data acquisition module, an image processing module, a data analysis module and an output module, wherein

[0058] The data acquisition module is responsible for collecting data from sensors such as cameras, pressure sensors and angle sensors; the image processing module is responsible for processing the image data collected by the camera and identifying the key points of the trainee's body; the data analysis module is responsible for fusing and analyzing the image recognition results with the pressure distribution detection results to obtain the trainee's sitting height status; the output module is responsible for displaying the recognition results and adjustment suggestions on the display device; the analysis results are converted into adjustment instructions, and the seat adjustment mechanism is driven to execute the adjustment instructions to achieve automatic adjustment of the seat position and angle.

[0059] In order to further improve the student sitting posture height recognition and processing device of the present invention, the following is a further detailed description of the device:

[0060] 1. Data acquisition module: This module is not only responsible for collecting raw data from cameras, pressure sensors and angle sensors, but also has data preprocessing functions. Preprocessing includes data filtering, noise removal and data format conversion, ensuring that subsequent modules can process data efficiently and accurately.

[0061] 2. Image processing module: This module uses deep learning algorithms, such as convolutional neural networks (CNN), to process image data collected by the camera. The trained model can accurately identify the key points of the trainee's body, including the head, shoulders, elbows, waist and hips. In addition, the module can also track the movement of key points in real time to adapt to the dynamic changes of the trainee during the sitting posture adjustment process.

[0062] 3. Data analysis module: This module integrates and analyzes the key point data identified by the image processing module with the pressure distribution detection results. By establishing a mathematical model of the sitting height state, combining the key point position and pressure distribution data, the student's sitting height state can be accurately determined. In addition, this module can also predict the student's potential discomfort based on the analysis results and give corresponding adjustment suggestions.

[0063] 4. Output module: This module is responsible for converting the analysis results into adjustment instructions and displaying them on the display screen of the device through a graphical user interface (GUI). The GUI is user-friendly and can clearly display the trainee's sitting posture and adjustment suggestions. At the same time, the output module can also convert the adjustment instructions into electrical signals, drive the seat adjustment mechanism to execute the corresponding adjustment instructions, and realize automatic adjustment of the seat position and angle to achieve the best sitting comfort.

[0064] In order to improve the stability and reliability of the system, the device also includes a self-diagnosis module. This module can regularly detect the working status of each sensor to ensure the accuracy of data collection. Once an abnormality is found, the self-diagnosis module will automatically issue an alarm and prompt maintenance personnel to check and repair.

[0065] In addition, in order to adapt to students of different body shapes and sitting habits, the device also has a learning function. By collecting and analyzing students' sitting posture data over a long period of time, the device can continuously optimize its algorithms and adjustment strategies, thereby providing more personalized sitting posture adjustment suggestions.

[0066] The trainee sitting posture height recognition and processing device of the present invention can not only accurately recognize and adjust the trainee's sitting posture in real time, but also continuously improve its performance and user experience through self-diagnosis and learning functions.

[0067] Although the embodiments of the present invention have been shown and described above, it will be appreciated that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may change, modify, substitute and vary the above embodiments within the scope of the present invention.

Claims

1. A method for identifying the height of a student's sitting posture based on computer vision, characterized in that: At least the following steps are included: S1: The camera deployed in the vehicle collects images of the trainee’s position and uses the image processing module to identify key points of the trainee’s body; S2. Arrange a pressure sensor array on the seat and use the pressure sensor array to detect the pressure distribution of the trainee on the seat; S3, based on the key points of the student's body obtained in step S1 and the pressure distribution of the student on the seat obtained in step S2, performing data fusion analysis on the two to determine the sitting height of the student; S4. According to the sitting height obtained after identification and analysis in step S3, the seat position and angle are automatically adjusted to provide a personalized driving environment for the trainee.

2. The method according to claim 1, characterized in that: In step S1 , the key points of the student's body include one or more of the positions of shoulders, hips, and the center of the eyes.

3. The method according to claim 1, characterized in that: In step S1, a pressure sensor array is arranged on the seat cushion and backrest of the seat, and the sitting posture of the trainee is identified by detecting the pressure distribution of the trainee on the seat; at the same time, the seat back angle is detected in combination with the seat angle sensor, so as to obtain more accurate sitting posture information.

4. The method according to any one of claims 1 to 3, characterized in that: It also includes converting the analysis results into adjustment instructions and displaying them on the device, while driving the seat adjustment mechanism to execute the adjustment instructions to achieve automatic adjustment of the seat position and angle.

5. A device for identifying the height of a student's sitting posture based on computer vision, characterized in that: The device for identifying the height of a student's sitting posture is used to implement the method described in any one of claims 1 to 4 above, and the device for identifying the height of a student's sitting posture comprises at least a camera, a pressure sensor array, an angle sensor, a data processing unit and a display unit, wherein The camera is installed inside the vehicle and is responsible for capturing the student's sitting posture image; The pressure sensor array is arranged on the seat cushion and the backrest to sense the pressure distribution of the trainee on the seat; The angle sensor is used to measure the seat back angle to assist in determining the student's sitting posture; The data processing unit is used to process and analyze the collected data to obtain the height status of the student's sitting posture; The display unit is used to display the recognition result and provide corresponding adjustment suggestions.

6. The device for identifying the height of a student's sitting posture based on computer vision according to claim 5 is characterized in that: The device for identifying the height of a student's sitting posture also includes a user interaction interface, which allows the student to input personal information so that the system can more accurately determine the sitting posture state.

7. The device for identifying the height of a student's sitting posture based on computer vision according to claim 5 is characterized in that: The data processing unit also includes a machine learning algorithm module; the machine learning algorithm module continuously optimizes the sitting posture height recognition model by analyzing the sitting posture data of a large number of students, thereby improving the recognition accuracy; in addition, the machine learning algorithm module can also predict and remind students of possible discomfort based on their sitting posture habits, so as to make adjustments in advance.

8. The device for identifying the height of a student's sitting posture based on computer vision according to claim 5, characterized in that: The high-definition camera also has the function of automatically adjusting exposure and contrast; in a dimly lit environment, the camera will automatically turn on the fill light to ensure that the image is clear and visible.

9. A device for identifying and processing the height of a student's sitting posture based on computer vision, characterized in that: The student sitting posture height recognition processing device is used to implement the method described in any one of claims 1 to 4 above, and the student sitting posture height recognition processing device at least includes a data acquisition module, an image processing module, a data analysis module and an output module, wherein The data acquisition module is responsible for collecting data from sensors such as cameras, pressure sensors and angle sensors; The image processing module is responsible for processing the image data collected by the camera and identifying the key points of the student's body; The data analysis module is responsible for fusing and analyzing the image recognition results with the pressure distribution detection results to obtain the height status of the student's sitting posture; The output module is responsible for displaying the recognition results and adjustment suggestions on the display device; converting the analysis results into adjustment instructions, and driving the seat adjustment mechanism to execute the adjustment instructions to achieve automatic adjustment of the seat position and angle.

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