A method and system for determining the validity of a subject in an electronic visual chart based on automatic correction of spatial position

Abstract

This application discloses a method and system for determining the validity of an electronic vision chart based on automatic spatial position correction, relating to the field of visual function testing. The method includes: determining a target testing distance pattern suitable for the examinee; obtaining the longitudinal distance deviation between the eye and the center of the optotype using image recognition or depth detection; and obtaining the lateral position deviation using a multi-source fusion method. Distance status determination and real-time automatic spatial position correction are performed based on the longitudinal and lateral deviations, respectively. When both are satisfactory, the spatial position is deemed valid and a notification is issued; otherwise, the above steps are repeated until the examinee's position meets the validity requirements. This application solves the problems of existing electronic vision charts, such as reliance on manual judgment of the examinee's position, difficulty in identifying position fluctuations, difficulty in constraining testing conditions, and insufficient validity of test results. It improves the automation level of guiding the examinee's spatial position and enhances the accuracy and reliability of vision test results.

Description

Technical Field

[0001] This application relates to the field of visual function testing, and in particular to a method and system for determining the validity of an electronic vision chart based on automatic spatial position correction. Background Technology

[0002] The standard logarithmic visual acuity chart is an important basis for distance vision testing in China. In the practical application of electronic visual acuity charts, whether the examinee's position relative to the display terminal meets the preset testing conditions directly affects the accuracy of the test results. Although existing electronic visual acuity charts typically support multiple testing modes, the following problems often still exist in practical use: 1) Most existing technologies rely on operators to manually organize the positions, lacking the ability to automatically detect the actual positional relationship between the subject and the display terminal, resulting in a deviation between the preset detection conditions and the actual positional conditions.

[0003] 2) Even if it has a position detection function, it often only outputs a single instantaneous distance value. It cannot simultaneously determine the longitudinal positional relationship between the center of the subject's eyes and the center of the current display target, as well as the lateral distance relationship between the subject's eyes and the display terminal. Therefore, it cannot accurately distinguish between the effective test position that can be used for detection and temporary, fluctuating or offset positions.

[0004] 3) Existing technologies often lack a mechanism to link the test results of the inspected location with the test process, which can easily lead to test results under invalid station conditions being mistakenly regarded as valid results.

[0005] 4) The existing technology lacks a unified record of the process for determining the validity of the inspected location, which is not conducive to quality control, result traceability and batch screening management. Summary of the Invention

[0006] The purpose of this application is to provide a method and system for determining the validity of electronic vision chart tests based on automatic spatial position correction. This method can solve the problems of existing electronic vision charts, such as reliance on manual judgment of the test position, difficulty in identifying position fluctuations, difficulty in constraining test conditions, and insufficient validity of test results. It can improve the automation level of guiding the testee's spatial position during electronic vision testing, and at the same time improve the accuracy and reliability of vision test results.

[0007] To achieve the above objectives, this application provides the following solution: In a first aspect, this application provides a method for determining the validity of an electronic vision chart based on automatic spatial position correction. The method includes: determining a target examination distance pattern in the electronic vision chart that is compatible with the examinee; obtaining the examinee's longitudinal distance deviation using image recognition or depth detection; the longitudinal distance deviation being the longitudinal positional deviation between the examinee's eye coordinates and the coordinates of the currently displayed optotype center in the electronic vision chart; and obtaining the lateral distance deviation using multivariate measurement fusion feature analysis; the lateral distance deviation being the lateral positional deviation between the examinee's eye representation point coordinates and the display terminal of the electronic vision chart; the multivariate measurement includes at least depth. Measurement methods include binocular vision measurement, infrared ranging, and ultrasonic ranging. Based on longitudinal distance deviation, the system determines the longitudinal distance status of the subject and performs real-time automatic spatial position correction based on the longitudinal distance status determination result. Based on lateral distance deviation, the system determines the lateral distance status of the subject and performs real-time automatic spatial position correction based on the lateral distance status determination result. When both the longitudinal and lateral distance statuses of the subject are satisfactory, the subject's spatial position is deemed valid, and a valid spatial position notification is issued. Otherwise, the system returns to using image recognition or depth detection to obtain the subject's longitudinal distance deviation until the subject's spatial position is valid.

[0008] Secondly, this application also provides a computer system, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the method for determining the validity of an electronic vision chart based on automatic spatial position correction as described in the first aspect.

[0009] According to the specific embodiments provided in this application, the following technical effects are disclosed: This application determines a target examination distance pattern suitable for the examinee, uses image recognition or depth detection to obtain the longitudinal distance deviation between the eye and the center of the visual target, and employs a multi-fusion method including depth measurement, binocular vision, infrared ranging, and ultrasonic ranging to obtain the lateral position deviation. Based on the longitudinal and lateral deviations, distance status judgment and real-time automatic spatial position correction are performed separately. When both are satisfactory, the spatial position is deemed valid and a notification is issued; otherwise, the above steps are repeated until the examinee's position meets the validity requirements. This application solves the problems of existing electronic vision charts, such as reliance on manual judgment of the examinee's position, difficulty in identifying position fluctuations, difficulty in constraining detection conditions, and insufficient validity of detection results. It improves the automation level of guiding the examinee's spatial position during electronic vision testing, while also improving the accuracy and reliability of vision test results. Attached Figure Description

[0010] To more clearly illustrate the technical solutions in the embodiments of this application or related technologies, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0011] Figure 1 This is a flowchart illustrating the method for determining the validity of an electronic vision chart based on automatic spatial location correction, as provided in an embodiment of this application.

[0012] Figure 2 This is a schematic diagram of the subject's standing position provided in an embodiment of this application.

[0013] Figure 3 This is an internal structure diagram of a computer system provided in an embodiment of this application. Detailed Implementation

[0014] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0015] To make the above-mentioned objectives, features and advantages of this application more apparent and understandable, the application will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0016] Example 1, as Figures 1-2 As shown, this embodiment provides a method for determining the validity of an electronic vision chart test based on automatic spatial position correction. The method includes: S1. Determine the target examination distance pattern in the electronic vision chart that is suitable for the examinee.

[0017] Furthermore, the target inspection distance mode includes any one of the following: 5m mode, 3m mode, and 2.5m mode; wherein, the standard inspection distance corresponding to the 5m mode is 5m; the standard inspection distance corresponding to the 3m mode is 3m; and the standard inspection distance corresponding to the 2.5m mode is 2.5m.

[0018] In practical applications, the target inspection distance mode can be entered by the operator or automatically selected according to the site mode.

[0019] S2. The longitudinal distance deviation of the subject is obtained by image recognition or depth detection; the longitudinal distance deviation is the longitudinal positional deviation between the subject's eye coordinates and the coordinates of the center of the currently displayed optotype in the electronic vision chart.

[0020] Furthermore, the eye coordinates are any one of the following: left eye coordinates, right eye coordinates, midpoint coordinates of both eyes, and eye centerline coordinates.

[0021] Furthermore, the coordinates of the eye representation point are any one of the coordinates of the midpoint of both eyes, the coordinates of the representative point of the eye region, and the coordinates of the facial reference point.

[0022] S3. The lateral distance deviation is obtained by multivariate measurement fusion feature analysis; the lateral distance deviation is the lateral positional deviation between the coordinates of the subject's eye feature points and the display terminal of the electronic vision chart; the multivariate measurement includes at least: depth measurement, binocular vision measurement, infrared ranging and ultrasonic ranging.

[0023] Furthermore, the multivariate measurement fusion feature analysis method extracts features from the initial lateral distance deviations collected by each measurement method, and then performs fusion analysis on the extracted features to obtain the lateral distance deviation.

[0024] In practical applications, feature extraction is performed after multivariate measurement, and then the results are fused to obtain a more representative value, which can enhance the characterization ability of the lateral distance deviation measurement results.

[0025] S4. Determine the longitudinal distance status of the examinee based on the longitudinal distance deviation, and automatically correct the examinee's spatial position in real time based on the longitudinal distance status determination result.

[0026] Furthermore, step S4 specifically includes: S41 When the longitudinal distance deviation is less than the first longitudinal deviation threshold, the longitudinal distance status judgment result is judged as qualified, and the examinee is guided to keep the current spatial position unchanged.

[0027] S42. When the longitudinal distance deviation is greater than or equal to the first longitudinal deviation threshold and less than the second longitudinal deviation threshold, the longitudinal distance status determination result is determined to be that there is a significant deviation, and the examinee is guided to make adaptive adjustments to the longitudinal spatial position or to control the currently displayed target to make adaptive corrections along the longitudinal direction; the first longitudinal deviation threshold is less than the second longitudinal deviation threshold; the adaptive adjustment of the longitudinal spatial position includes at least: looking up and looking down.

[0028] S43. When the longitudinal distance deviation is greater than or equal to the second longitudinal deviation threshold, the longitudinal distance status judgment result is judged as a serious deviation, and the examinee is guided to reposition.

[0029] Furthermore, the first longitudinal deviation threshold is 1 cm; the second longitudinal deviation threshold is 3 cm.

[0030] In practical applications, the first longitudinal deviation threshold and the second longitudinal deviation threshold can be set according to the installation height of the electronic vision chart, the size of the display terminal, the target inspection distance, and the engineering implementation accuracy. The smaller the deviation threshold, the more stringent the detection conditions. Under the premise of meeting the engineering implementation feasibility, a smaller error range is preferred.

[0031] S5. Determine the lateral distance status of the subject based on the lateral distance deviation, and automatically correct the subject's spatial position in real time based on the lateral distance status determination result.

[0032] Furthermore, step S5 specifically includes: S51. When the lateral distance deviation is less than the first lateral deviation threshold, the lateral distance status determination result is deemed qualified, and the examinee is guided to maintain the current spatial position unchanged.

[0033] S52. When the lateral distance deviation is greater than or equal to the first lateral deviation threshold and less than the second lateral deviation threshold, the lateral distance status determination result is determined to be a significant deviation, and the subject is guided to make adaptive adjustments to the lateral spatial position; the first lateral deviation threshold is less than the second lateral deviation threshold; the adaptive adjustment of the lateral spatial position includes at least: forward movement and backward movement.

[0034] S53. When the lateral distance deviation is greater than or equal to the second lateral deviation threshold, the lateral distance status judgment result is judged as a serious deviation, and the examinee is guided to reposition.

[0035] Furthermore, the first lateral deviation threshold is 3cm; the second lateral deviation threshold is 5cm.

[0036] In practical applications, the first lateral deviation threshold and the second lateral deviation threshold can be set based on the target inspection distance mode and the subject's movement range experience.

[0037] S6. When both the longitudinal and lateral distances of the examinee are qualified, the spatial position of the examinee is determined to be valid, and a notification of valid spatial position is issued. Otherwise, the longitudinal distance deviation of the examinee is obtained by image recognition or depth detection until the spatial position of the examinee is valid.

[0038] Optionally, after a valid spatial location notification is issued, the vision test can be started, the test can be continued, or the test results can be confirmed.

[0039] In practical applications, when the judgment results of the longitudinal distance status and the lateral distance status do not meet the conditions, the current inspected position (spatial position) is determined to be an invalid detection state, triggering a prompt, pausing the detection process and / or prohibiting the confirmation of the result, and returning to step S2.

[0040] Before issuing a valid spatial location notification, the testing process for the examinee will be suspended, result input will be frozen, or confirmation will be prohibited. Furthermore, the current status of the validity determination process in step S6 can be recorded for subsequent result traceability.

[0041] The technical effects of this application are as follows: 1) It can automatically detect the position of the examinee relative to the display terminal, reducing errors caused by manual judgment.

[0042] 2) It not only detects the lateral distance between the subject's eyes and the display terminal, but also detects the longitudinal positional relationship between the center of the subject's eyes and the center of the current display target, thus enabling a more comprehensive constraint on the tested position.

[0043] 3) It can perform joint validity determination based on vertical positional relationship and horizontal distance relationship, thereby obtaining a more realistic and effective inspected position that can be used for detection process control.

[0044] 4) Improve the reliability of test results.

[0045] 5) It can automatically prompt or interrupt invalid processes when the location does not meet the conditions, reducing the risk of invalid detection results being misrecorded or misused.

[0046] In summary, this application solves the problems of existing electronic vision charts, such as reliance on manual judgment of the tested position, difficulty in recognizing position fluctuations, difficulty in constraining testing conditions, and insufficient validity of test results. It improves the automation level of guiding the spatial position of the test subject, and at the same time improves the accuracy and reliability of vision test results.

[0047] Example 2: This example provides a computer system, which can be a server or a terminal, and its internal structure diagram can be as follows. Figure 3 As shown, the computer system includes a processor, memory, input / output (I / O) interfaces, and a communication interface. The processor, memory, and I / O interfaces are connected via a system bus, and the communication interface is also connected to the system bus via the I / O interfaces. The processor provides computational and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system, computer programs, and databases. The internal memory provides the environment for the operating system and computer programs stored in the non-volatile storage media to run. The I / O interfaces are used for exchanging information between the processor and external devices. The communication interface is used for communicating with external terminals via a network connection. When the computer program is executed by the processor, it implements the methods described above.

[0048] Those skilled in the art will understand that Figure 3The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer system to which the present application is applied. A specific computer system may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0049] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments described above. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM).

[0050] The processors involved in the various embodiments provided in this application may be general-purpose processors, central processing units, graphics processors, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited thereto.

[0051] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. The same or similar parts between the various embodiments can be referred to each other.

[0052] This document uses specific examples to illustrate the principles and implementation methods of this application. The descriptions of the above embodiments are only for the purpose of helping to understand the methods and core ideas of this application. Furthermore, those skilled in the art will recognize that, based on the ideas of this application, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A method for determining the validity of a subject in an electronic optometric chart based on automatic correction of spatial position, characterized by, The method includes: Determine the target examination distance pattern in the electronic vision chart that is suitable for the examinee; The longitudinal distance deviation of the subject is obtained by image recognition or depth detection; the longitudinal distance deviation is the longitudinal positional deviation between the subject's eye coordinates and the coordinates of the center of the currently displayed optotype in the electronic visual acuity chart. The lateral distance deviation is obtained by multivariate measurement fusion feature analysis; the lateral distance deviation is the lateral positional deviation between the coordinates of the subject's eye feature points and the display terminal of the electronic vision chart; the multivariate measurement includes at least: depth measurement, binocular vision measurement, infrared ranging and ultrasonic ranging; Based on the longitudinal distance deviation, the longitudinal distance status of the examinee is determined, and the examinee's spatial position is automatically corrected in real time according to the longitudinal distance status determination result. The lateral distance status of the subject is determined based on the lateral distance deviation, and the subject's spatial position is automatically corrected in real time based on the lateral distance status determination result. When both the longitudinal and lateral distances of the examinee are within acceptable limits, the examinee's spatial position is deemed valid, and a notification of valid spatial position is issued. Otherwise, the process returns to using image recognition or depth detection to obtain the examinee's longitudinal distance deviation until the examinee's spatial position is valid.

2. The electronic charting method according to claim 1, wherein The target inspection distance modes include any one of the following: 5m mode, 3m mode, and 2.5m mode; wherein, the standard inspection distance corresponding to the 5m mode is 5m; the standard inspection distance corresponding to the 3m mode is 3m; and the standard inspection distance corresponding to the 2.5m mode is 2.5m.

3. The method according to claim 1, wherein The eye coordinates are any one of the following: left eye coordinates, right eye coordinates, midpoint coordinates of both eyes, and eye centerline coordinates.

4. The method of claim 1, wherein the method further comprises: The coordinates of the eye representation points are any one of the following: the coordinates of the midpoints of both eyes, the coordinates of the representative points of the eye region, and the coordinates of the facial reference points.

5. The method for determining the validity of an electronic vision chart based on automatic spatial position correction according to claim 1, characterized in that, The multivariate measurement fusion feature analysis method extracts features from the initial lateral distance deviations collected by each measurement method, and then performs fusion analysis on the extracted features to obtain the lateral distance deviation.

6. The method for determining the validity of an electronic vision chart based on automatic spatial position correction according to claim 1, characterized in that, Based on the longitudinal distance deviation, the longitudinal distance status of the examinee is determined, and the examinee's spatial position is automatically corrected in real time according to the longitudinal distance status determination result. Specifically, this includes: When the longitudinal distance deviation is less than the first longitudinal deviation threshold, the longitudinal distance status judgment result is judged as qualified, and the examinee is guided to keep the current spatial position unchanged; When the longitudinal distance deviation is greater than or equal to the first longitudinal deviation threshold and less than the second longitudinal deviation threshold, the longitudinal distance status determination result is determined to be a significant deviation, and the examinee is guided to make adaptive adjustments to the longitudinal spatial position or to control the currently displayed target to make adaptive corrections along the longitudinal direction; the first longitudinal deviation threshold is less than the second longitudinal deviation threshold; the adaptive adjustment of the longitudinal spatial position includes at least: looking up and looking down; When the longitudinal distance deviation is greater than or equal to the second longitudinal deviation threshold, the longitudinal distance status is determined to be a serious deviation, and the examinee is guided to reposition.

7. The method for determining the validity of an electronic vision chart based on automatic spatial position correction according to claim 6, characterized in that, The first longitudinal deviation threshold is 1 cm; the second longitudinal deviation threshold is 3 cm.

8. The method for determining the validity of an electronic vision chart based on automatic spatial position correction according to claim 1, characterized in that, Based on the lateral distance deviation, the lateral distance status of the examinee is determined, and the examinee's spatial position is automatically corrected in real time according to the lateral distance status determination result. Specifically, this includes: When the lateral distance deviation is less than the first lateral deviation threshold, the lateral distance status judgment result is deemed qualified, and the examinee is guided to maintain the current spatial position unchanged. When the lateral distance deviation is greater than or equal to the first lateral deviation threshold and less than the second lateral deviation threshold, the lateral distance status determination result is determined to be a significant deviation, and the subject is guided to make adaptive adjustments to the lateral spatial position; the first lateral deviation threshold is less than the second lateral deviation threshold; the adaptive adjustment of the lateral spatial position includes at least: forward movement and backward movement; When the lateral distance deviation is greater than or equal to the second lateral deviation threshold, the lateral distance status is determined to be a serious deviation, and the examinee is guided to reposition.

9. The method for determining the validity of an electronic vision chart based on automatic spatial position correction according to claim 8, characterized in that, The first lateral deviation threshold is 3cm; the second lateral deviation threshold is 5cm.

10. A computer system, comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that the processor executes the computer program to implement the method for determining the validity of an electronic vision chart based on automatic spatial correction as described in any one of claims 1-9.

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