Vision detection system

By introducing technologies such as hesitation index and ambient light sensors, the vision detection system is optimized, and the vision detection problem of patients with speech dysfunction has been solved, the detection accuracy and efficiency have been improved, and the burden on medical staff has been reduced.

CN120323912AInactive Publication Date: 2025-07-18BEIJING SHIJITAN HOSPITAL CAPITAL MEDICAL UNIVERSITY
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Patent Information

Application Number
CN202510565396.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-04-30
Publication Date
2025-07-18
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

Traditional vision detection methods are unfriendly to patients with speech dysfunction, resulting in unsuccessful testing and untrue results, and heavy workload for medical staff.

Method used

Introduce hesitation index, calculate hesitation index by collecting user operation behavior data, adjust detection strategies such as extending the visual scale display time or repeating tests, and optimize the test environment with ambient light sensor and infrared ranging sensor.

Benefits of technology

It improves the accuracy and efficiency of vision detection, reduces the work burden of medical staff, adapts to the needs of different patient groups, and provides a comfortable and stable testing environment.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention provides a vision detection system, and relates to the technical field of vision detection.The system comprises host equipment and remote control equipment, and the host equipment displays sighting marks in a visual chart through a display module and receives direction indication signals sent by the remote control equipment through a wireless signal receiving module; the host device is configured to collect operation behavior data of operating the remote control device by a subject, calculate a hesitation index according to the operation behavior data, prolong sighting mark display time of a current detection line or repeat a test of the current detection line when the hesitation index exceeds a first preset threshold value, and send the sighting mark display time to the host device when the hesitation index is lower than a second preset threshold value. The correct frequency condition for detecting line switching is reduced; the operation behavior data comprises the ratio of the wrong attempt times to the total key pressing times of the same sighting mark, the standard deviation of correct response time and the variance of the interval between adjacent keys. By applying the technical scheme of the invention, more effective vision detection can be realized in practical application.
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Description

Technical Field

[0001] This application relates to the technical field of vision detection, and specifically to a vision detection system. Background Art

[0002] Vision detection, as a basic link in the ophthalmic diagnosis and treatment process, traditionally relies on the patient's ability to recognize a standard vision chart, and requires the patient to convey the direction of the identified mark through verbal expression or physical indication. However, this traditional detection method is inadequate when dealing with patients with speech function disorders. Due to physiological or psychological reasons, these patients are difficult to clearly and accurately express what they see, resulting in the test process being unable to proceed smoothly, and the test results may not truly reflect their actual vision level. In large medical institutions, ophthalmic medical staff often need to invest a large amount of time and energy to complete vision detection work. Especially when dealing with the above-mentioned special patient groups, not only does it prolong the diagnosis and treatment time for each patient, but it also increases the workload of the medical staff. For hospitals with a large workload, this is undoubtedly a huge waste of time and resources.

[0003] In related technologies, such as the prior patent "Vision Detection System and Vision Detection Method" with publication number CN112656363A, a self-service vision detection is carried out based on the method of indicating the direction of the visual target by a remote control. By comparing the number of consecutive correct times, the number of correct times within a preset time, and the total number of correct times with the corresponding first threshold, second threshold, and third threshold, it is determined whether to adjust the detection line (up or down), and based on the adjustment situation of the detection line, combined with the slope change of the time curve, the vision value is determined. This self-service vision detection method can reduce the workload of medical staff and solve the above problems to a certain extent; however, the applicant found during the implementation of the present invention that only the number of correct times and time are considered in the analysis and control of the test data in this technical solution. This method cannot reflect the hesitation behavior of the user during the test process, easily leads to inaccurate control judgment, and affects the effectiveness of the detection results. Summary of the Invention

[0004] To overcome at least to some extent the problems existing in the related technologies, the embodiments of this application provide a vision detection system, which improves the existing related technologies to help achieve more effective vision detection in practical applications.

[0005] In some embodiments of the present application, a vision detection system is provided, including a host device and a remote control device. The host device includes a display module and a wireless signal receiving module. The display module is used to display the visual acuity chart symbols, and the wireless signal receiving module is used to receive the direction indication signals sent by the remote control device. The host device is configured to count the correct times and detection time of the subject based on the direction indication signals, and adjust the detection line according to preset conditions. The host device is further configured to: collect the operation behavior data of the subject operating the remote control device and calculate the hesitation index accordingly. When the hesitation index exceeds the first preset threshold, extend the display time of the symbols in the current detection line or repeat the test of the current detection line. When the hesitation index is lower than the second preset threshold, reduce the correct times condition for switching the detection line. Wherein, the operation behavior data includes the ratio of the number of incorrect attempts to the total number of button presses for the same symbol, the standard deviation of the correct response time, and the variance of the adjacent button intervals.

[0006] In some possible implementation manners, the hesitation index is calculated based on the following expression: Wherein, HI represents the hesitation index, ER represents the ratio of the number of incorrect attempts to the total number of button presses for the same symbol, represents the standard deviation of the correct response time, IV represents the variance of the adjacent button intervals, T represents the reference interval of normal response, represents the preset weight coefficient.

[0007] In some possible implementation manners, the remote control device is configured to: attach a time stamp and a button type mark each time a button is pressed. The button type mark includes a correct or incorrect status, and the correct or incorrect status is determined by the host device according to the real-time feedback of the current symbol direction.

[0008] In some possible implementation manners, the host device is further configured to: calculate the standard deviation of all correct response time intervals of the same detection line and use this standard deviation as the input into the calculation of the hesitation index.

[0009] In some possible implementation manners, the host device is further configured to: when the number of incorrect attempts for the same symbol reaches the preset number, trigger a repeated test process, and control the display module to randomly display another symbol in the same detection line until the hesitation index is lower than the third preset threshold.

[0010] In some possible implementation manners, the host device is further configured to: when the hesitation index exceeds the fourth preset threshold, generate a voice prompt to guide the subject to reconfirm the symbol direction.

[0011] In some possible implementation manners, the reference interval is the average value of the normal response time statistically obtained from historical data, and the host device is configured to update the reference interval after each round of detection is completed.

[0012] In some possible implementation manners, the visual target is implemented by using a graphic element with a direction guiding function. The graphic element at least includes a design in the shape of a bird image, and the directionality of each graphic element is defined by the head direction of the bird image.

[0013] In some possible implementation manners, it further includes an ambient light sensor electrically connected to the host device; the host device is further configured to automatically adjust the display brightness of the display module according to the sensing data of the ambient light sensor.

[0014] In some possible implementation manners, it further includes an infrared distance measuring sensor electrically connected to the host device; the host device is further configured to monitor the distance between the subject and the display module through the infrared distance measuring sensor, and output a reminder message when the distance deviates from the set value.

[0015] In the technical solution provided by the embodiment of the present application, based on the existing vision detection system including a host device and a remote control device, an index of hesitation is introduced to reflect the hesitation behavior of the user, and the index is calculated and determined based on operation behavior data (such as the ratio of the number of error attempts to the total number of button presses, the standard deviation of the correct response time, and the variance of the adjacent button intervals). Compared with the existing detection technology that only relies on the number of correct times and time, the hesitation index, as an index to measure the uncertainty of the user during the test, can help the system identify users who need more time or repeated determination. Then, personalized adjustment is carried out, which is beneficial to ensuring the authenticity of the test results. For example, when the hesitation index exceeds the first preset threshold, the system will automatically extend the display time of the current visual target or repeat the test of the current detection line, giving the subject more time to think and react, which helps to relieve their psychological pressure and thus obtain a more real vision level; on the other hand, when the hesitation index is lower than the second preset threshold, the correct number condition required to switch the detection line is reduced, accelerating the detection process, thereby improving the detection efficiency.

[0016] Other advantages, objectives, and features of the present application will be described to some extent in the subsequent specification, and to some extent, will be obvious to those skilled in the art based on the study of the following text, or can be taught from the practice of the present invention. Description of the Drawings

[0017] The accompanying drawings are used to provide a further understanding of the technical solutions of the present application or the prior art, and form a part of the specification. Among them, the drawings expressing the embodiments of the present application are used together with the embodiments of the present application to explain the technical solutions of the present application, but do not constitute a limitation to the technical solutions of the present application.

[0018] Figure 1 It is a schematic diagram showing the composition of the vision detection system in an embodiment of the present application; Figure 2 It is a schematic diagram showing the composition of the vision detection system in another embodiment of the present application; Figure 3 It is a schematic diagram showing the flow of the vision detection method applied to the vision detection system in an embodiment of the present application. Detailed implementation manners

[0019] To make the purpose, technical solutions and advantages of the present application clearer, the technical solutions of the present application will be described in detail below. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other implementation manners obtained by those of ordinary skill in the art without creative efforts belong to the scope protected by the present application.

[0020] As described in the background art, the traditional vision detection method is ineffective when dealing with patients with speech function disorders. Due to physiological or psychological reasons, these patients are difficult to express clearly and accurately what they see, resulting in the inability to smoothly carry out the test process, and the test results may not truly reflect their actual vision level. In large medical institutions, ophthalmic medical staff often need to invest a lot of time and energy to complete the vision detection work. Especially when dealing with the above-mentioned special patient groups, not only does it prolong the diagnosis and treatment time of each patient, but also increases the workload of the medical staff. For a hospital with a huge workload, this is undoubtedly a huge waste of time and resources.

[0021] In the related art, in the prior patent "Vision Detection System and Vision Detection Method" with the publication number CN112656363A, a self-service vision detection is carried out based on the method of using a remote control to indicate the direction of the visual target. By comparing the number of consecutive correct times, the number of correct times within a preset time, and the total number of correct times with the corresponding first threshold, second threshold, and third threshold, it is determined whether to adjust the detection line (upward or downward), and based on the adjustment situation of the detection line, the vision value is determined in combination with the slope change of the time curve. This self-service vision detection method can reduce the workload of medical staff and solve the above problems to a certain extent. However, the applicant found during the implementation of the present invention that in this technical solution, only the number of correct times and time are considered in the analysis and control of the test data. This method cannot reflect the hesitation behavior of the user during the test process, easily leads to inaccurate control judgment, and affects the validity of the detection result.

[0022] Based on this, the present application proposes a vision detection system to improve the existing related technologies to help achieve more effective vision detection in practical applications.

[0023] As Figure 1 shown, in an embodiment, similar to the prior art, the vision detection system in the present application also includes a host device 10 and a remote control device 20. The host device 10 includes a display module 11 and a wireless signal receiving module 12. The display module 11 is used to display the visual targets in the vision chart, and the wireless signal receiving module 12 is used to receive the direction indication signal sent by the remote control device 20. The host device 10 is configured to count the number of correct times and the detection time of the subject based on the direction indication signal, and adjust the detection line according to preset conditions. Specifically, similar to the prior art, adjusting the detection line according to preset conditions here includes: the host device counts the first number of consecutive correct times, the second number of correct times within a preset time, the third number of correct times of this detection line, and the total detection time of this detection line of the subject based on the direction indication signal and the actual direction of the visual target displayed by the display module, and determines whether the first condition, the second condition, and the third condition are satisfied. The first condition is that the first number of correct times is greater than the first threshold, the second condition is that the second number of correct times is greater than the second threshold, the third condition is that the third number of correct times is greater than the third threshold, the third threshold is greater than the second threshold, and each line has corresponding first, second, and third thresholds. If any one of the first condition, the second condition, and the third condition is satisfied, the host device performs an operation of adjusting one line downward based on the current line. If the first condition, the second condition, and the third condition are not all satisfied, the host device performs an operation of adjusting one line upward based on the current line. For the relevant further technical details, reference can be made to the records of the prior patent, and details will not be elaborated here in the present application.

[0024] On this basis, the technical solution of the present application introduces the concept of hesitation index to specifically improve the detection implementation. Specifically, in this embodiment, the host device 10 is further configured to: Collect the operation behavior data of the subject operating the remote control device and calculate the hesitation index HI accordingly. When the hesitation index HI exceeds the first preset threshold, extend the display time of the visual target in the current detection line or repeat the test of the current detection line. When the hesitation index is lower than the second preset threshold, reduce the correct number condition for switching the detection line; in this embodiment, the operation behavior data includes the ratio ER of the number of incorrect attempts to the total number of key presses for the same visual target, and the standard deviation of the correct response time , and the variance IV of the adjacent key intervals.

[0025] It is easy to understand that when the calculated hesitation index HI exceeds the first preset threshold, it indicates that the subject shows a high degree of uncertainty and difficulty on the current detection line; at this time, the system will automatically extend the display time of the visual target in this detection line, or directly repeat the test of the current detection line, so as to give the subject more time and opportunities for accurate judgment; on the contrary, if the hesitation index HI is lower than the second preset threshold, it means that the subject shows good mastery ability for the visual targets at the current difficulty level. In this case, the system will correspondingly reduce the correct number condition required for switching the detection line, thereby speeding up the detection process and improving the overall efficiency.

[0026] For example, in a specific implementation scenario, the first preset threshold set by the system is HI = 5, and the second preset threshold is HI = 2. In the actual operation process: when the hesitation index HI of a certain subject reaches 6, the system recognizes that the subject has a high degree of hesitation on the current detection line, so it decides to extend the display time of the visual target to 1.5 times the original and allows the subject to re-try all the visual targets in the current detection line. This can give the subject more time to think and react, help relieve their psychological pressure, and thus obtain a more accurate vision level; while in another test, if the hesitation index HI of a certain subject is only 1.8, far lower than the second preset threshold, the system automatically reduces the correct number standard required for the next line of detection, from the original continuous 3 correct times to only 2 correct times to complete the detection of this line and enter the visual target test at a higher level.

[0027] Furthermore, as a specific implementation manner, the hesitation index HI can be calculated based on the following expression (also called the calculation model in the present application): (1) In expression (1), HI represents the hesitation index, which is a comprehensive indicator measuring the degree of hesitation or uncertainty of the subject when completing the vision test; ER represents the ratio of the number of incorrect attempts to the total number of button presses for the same visual target, used to reflect the accuracy and stability of the subject's recognition of a specific visual target. A higher ER value usually means that the subject has more misjudgments or uncertainties about that visual target; represents the standard deviation of the correct response time, which reflects the consistency of the response time required by the subject for correctly recognized visual targets. A larger standard deviation may indicate that the subject's attention is distracted or the decision-making process is unstable; IV represents the variance of the adjacent button intervals. This parameter captures the variability between the subject's consecutive button presses and can be used to evaluate the changes in their operation rhythm; T represents the reference interval for normal responses, that is, the idealized response time interval preset by the system, used to standardize the influencing factors of IV and ensure the comparability of data between different individuals.

[0028] In expression (1), represents the preset weight coefficients, which are determined according to the requirements of specific application scenarios and are used to balance the importance of the contributions of each component to the final HI value. For example, in some cases, more attention may be paid to the quick recognition ability rather than absolute accuracy. In this case, the weight coefficients related to the response speed may be increased (such as ), and conversely, if the focus is on reducing misjudgments, the proportion of may be increased.

[0029] Correspondingly, in some embodiments, the host device is further configured to receive adjustment instructions from medical staff users and adjust the calculation model of the hesitation index to flexibly meet the requirements of different scenarios. This flexibility not only enhances the adaptability of the system, enabling the calculation method of the hesitation index to be customized according to the characteristics of specific patient groups or medical environments, but also improves the diagnostic accuracy and treatment effect. For example, in the elderly patient group, since their physiological response time is usually longer, the system can adjust the weight coefficients to reduce the proportion of response time in the calculation of the hesitation index, thereby avoiding misjudgments caused by normal slow responses.

[0030] Regarding the reference interval T in Expression (1), it should be noted that in the actual implementation of the solution, the reference interval is the average of the normal response times statistically obtained from historical data. T is not a fixed value but a dynamic reference value calculated based on a large amount of past operation or experimental data, which represents the expected response delay under standard conditions. Considering the importance of data accumulation and to ensure the accuracy and real-time nature of system evaluation, the host device in the system is configured to update the reference interval after each round of detection. Such a design enables the system to continuously learn and adapt to changes in user behavior patterns. For example, if the user's reaction speed improves over a period of time, then as new data is continuously added, the value of T will be adjusted accordingly to reflect this changing trend.

[0031] Next, the implementation method for obtaining operation behavior data will be introduced. In some embodiments, the remote control device 20 is configured to: attach a timestamp and a key type flag each time a key is pressed, and the key type flag includes a correct or incorrect status, which is determined by the host device based on real-time feedback of the current visual target direction.

[0032] Specifically, each time the user performs a key operation through the remote control device 20, the device will automatically attach a timestamp and a key type flag. This design not only records the moment of the user's operation but also details the nature of the key operation, that is, the correct or incorrect status. These statuses are not determined by the remote control device itself but by the host device based on real-time feedback of the current visual target direction. This means that when the user attempts to respond to the displayed visual target (for example, the E-shaped patterns in different directions during a vision test), the host device can immediately evaluate whether the user's response is accurate and then determine the type flag based on this evaluation feedback. If the user's response matches the direction of the current visual target, it is marked as "correct"; otherwise, if it does not match, it is marked as "incorrect". Thus, on the host device side, the operation behavior data of the subject is generated.

[0033] In the actual implementation process, the remote control device 20 and the host device 10 synchronize clocks through a wireless protocol (such as the Bluetooth protocol, etc.) to ensure accurate calculation of the time interval, which is beneficial to the reliability of relevant operation behavior data.

[0034] As a specific implementation method, in this embodiment, the host device 10 is further configured to: calculate the standard deviation of all correct response time intervals for the same detection row and use this standard deviation as input into the hesitation index calculation.

[0035] It should be noted that in this application, the correct response time interval here is defined as: within the same detection line, the time difference between two consecutive correct identifications of visual targets by the user. For example, if the user correctly identifies three visual targets at the 1st second, 3rd second, and 6th second in a certain detection line, the time intervals are 2 seconds (3 - 1) and 3 seconds (6 - 3). This excludes the incorrect response time caused by incorrect operations and ensures that the data only reflects the user's true recognition ability. The larger the value, the more obvious the fluctuation of the user's response time, indicating possible hesitation or difficulty in recognition.

[0036] As a specific implementation manner, the host device 10 is further configured to: adjust the preset first threshold, second threshold, and third threshold proportionally according to the hesitation index HI of the current detection line. As described above and disclosed in the prior patent, the first threshold, second threshold, and third threshold here refer to the thresholds corresponding to the first condition, second condition, and third condition respectively. In this application, the hesitation index HI is introduced to dynamically adjust these thresholds. This dynamic adjustment strategy not only improves the adaptability and flexibility of the system, but also makes the evaluation result more in line with the actual situation. For example, when the hesitation index is higher than a certain preset threshold, the first threshold is increased by 10% - 30%.

[0037] In some embodiments, based on the configuration mode of the remote control device, it can not only record the operation behavior data of the user for each visual target, but also further analyze the number of incorrect attempts for the same visual target. This analysis is crucial for understanding the user's recognition accuracy and response consistency. Correspondingly, the host device is further configured to: when the number of incorrect attempts for the same visual target reaches a preset number, trigger a repeated test process, and control the display module to randomly display another visual target in the same detection line until the hesitation index is lower than the third preset threshold. For example, the third preset threshold is HI = 3. Through this independent judgment logic configuration mode, it is beneficial to effectively evaluate the user's actual visual perception ability.

[0038] In some embodiments, the host device is further configured to: when the hesitation index exceeds the fourth preset threshold, such as the fourth preset threshold is HI = 8, generate a voice prompt to guide the subject to reconfirm the direction of the visual target. This design takes into account various interference factors that may occur in the actual use scenario, such as the subject being distracted, environmental noise, or momentary attention dispersion. By generating a voice prompt, it can not only effectively help the user return to the test state, but also significantly improve the completion efficiency and accuracy of the self-service vision test. This method provides a more friendly interaction experience for the user, especially important during long-term or repetitive testing processes. In this way, even without the supervision of relevant medical staff, the smooth progress of the test can be ensured, and the validity and reliability of the data can be guaranteed.

[0039] Based on the above embodiments, in some preferred embodiments, in order to improve the interest and user participation of visual tests, this technical solution adopts an innovative visual target design method. Different from the traditional "E" - shaped visual target, this application uses graphic elements with direction - guiding functions to implement the design of visual targets. Specifically, these graphic elements at least include a design in the shape of a bird image, and the directionality of each graphic element is defined by the head direction of the bird image; this design not only makes the visual target more vivid and interesting, but also can effectively attract the attention of users, especially children and teenagers, thus enhancing their willingness to participate.

[0040] For example, the selection of the bird image can be adjusted according to the actual application scenario. For instance, different bird patterns such as eagles, pigeons, or swallows can be used. Each bird image enhances the recognition degree with its unique appearance features. For example, when testing the user's sensitivity to the upper direction, an image of an eagle with its head up can be used; while when testing the lower sensitivity, an image of a pigeon with its head down can be selected. In addition, by using the head direction of the bird to define the directionality, this method also simplifies the user's understanding process and reduces misjudgments caused by unfamiliar symbols.

[0041] Based on the above embodiments, in some preferred embodiments, as Figure 2 shown, the system further includes an ambient light sensor 30 electrically connected to the host device 10; the host device 10 is further configured to automatically adjust the display brightness of the display module according to the sensing data of the ambient light sensor; this system setting can further enhance the functionality and user experience of the system.

[0042] Specifically, the function of the ambient light sensor 30 is to monitor the light intensity of the surrounding environment in real - time and feedback this data to the host device 10. Based on these sensing data, the host device 10 can automatically adjust the brightness of the display module to ensure that users can obtain a relatively stable visual experience whether in the bright daytime or the dim night, guaranteeing the consistency of the test.

[0043] Based on the above embodiments, in some preferred embodiments, as Figure 2 shown, the system further includes an infrared distance sensor 40 electrically connected to the host device 10; the host device 10 is further configured to monitor the distance between the subject and the display module through the infrared distance sensor and output a reminder message when the distance deviates from the set value.

[0044] Specifically, the infrared distance measurement sensor 40 is used to accurately measure the distance between the subject and the display module. When the detected distance deviates from the preset safe or ideal value, the host will immediately output a reminder message. This design is particularly suitable for application scenarios in this application that require strict control of the observation distance, ensuring the accuracy and effectiveness of the test. For example, during vision screening, if the subject is too close to or too far from the display screen, the system will use sound, images, or text prompts to guide the subject to adjust to the correct viewing position.

[0045] Compared with the method of adjusting the size of the visual target, this method can more accurately ensure the consistency of the test environment by directly measuring the actual distance between the subject and the display screen and making adjustments based on whether this distance meets the preset ideal value, and can effectively reduce potential errors caused by visual target design and display characteristics. For example, in some cases, the reduction of the visual target may lead to a decrease in resolution, affecting the accuracy of the test results.

[0046] As Figure 3 shown, in some embodiments, the present application also proposes a vision detection method applied to the vision detection system described in the above embodiments. This method includes the following steps: Step S110: Display the visual target of the current detection line and receive the direction indication signal through the remote control device; Step S120: Record the timestamp, direction, and correctness status of each key press, and calculate the error attempt ratio (ER), standard deviation of reaction time ( ) and variance of key press interval (IV) of the current detection line; Step S130: Generate a hesitation index (HI) based on ER, and IV; Step S140: If HI exceeds the first preset threshold, extend the display time of the current visual target or repeat the test of the current detection line; if HI is lower than the second preset threshold, perform the detection line switching operation in combination with the correct number condition.

[0047] In addition, regarding the specific implementation method of the determination process of the vision test results, it can be seen in existing related patents, such as determining vision using the slope of the detection time curve, etc. This application will not elaborate here.

[0048] All the defects existing in the above solutions are the results obtained by the inventor after practice and careful research. Therefore, the discovery process of the above problems and the solutions proposed by this application for the above problems in the following text should be the contributions made by the inventor to this application during the process of this application. The vision detection system provided by this application adopts a specific system configuration, introduces the calculation and application of the hesitation index, and significantly improves the accuracy and effectiveness during the vision detection process, having the following technical effects: By collecting and analyzing user operation behavior data (such as the number of error attempts, the standard deviation of correct response time, the variance of adjacent key intervals, etc.), the user's hesitation index is calculated, and based on this, the test strategy is adjusted (such as extending the display time of the visual target or repeating the current row test), effectively avoiding misjudgment caused by user hesitation and ensuring that the test results truly reflect the situation.

[0049] For patient groups with speech function disorders or other special needs, the method of using a remote control device to indicate the direction of the visual target is adopted to replace the traditional verbal or physical expression, which greatly facilitates these people to conduct vision tests. In addition, when the hesitation index exceeds a certain threshold, a voice prompt is automatically triggered to help the examinee reconfirm the direction of the visual target, further enhancing the user-friendliness of the system; the self-service vision detection system reduces the time and effort required by ophthalmic medical staff in routine vision detection, enabling them to focus more attention on more complex ophthalmic diagnosis and treatment work and improving the utilization efficiency of medical resources.

[0050] The system can dynamically adjust the preset threshold according to the actual performance of the user to ensure that each individual can obtain the most suitable test experience for themselves. At the same time, by configuring an ambient light sensor and an infrared distance measurement sensor, intelligent adjustment of the display brightness and the distance of the examinee is achieved, providing a more comfortable and stable test environment for the user; using graphic elements with direction guiding functions as visual targets, such as designs containing bird images, not only increases visual interest but also may help relieve the examinee's nervousness and improve the test cooperation degree; based on historical data statistics to update the benchmark interval of normal response time, enabling the system to continuously learn and adapt to the behavioral characteristics of different user groups, thus maintaining long-term effectiveness and reliability.

[0051] As described above, it is only a preferred specific embodiment of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions that can be easily thought of by those familiar with the technology within the technical scope disclosed by the present application should be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

[0052] It can be understood that the same or similar parts in the above embodiments can be referred to each other, and the content not detailed in some embodiments can be referred to the same or similar content in other embodiments.

[0053] It should be noted that in the description of the present application, the terms "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or implying relative importance. In addition, in the description of the present application, unless otherwise specified, the meaning of "a plurality" refers to at least two.

[0054] Any process or method description depicted in the flowchart or otherwise described herein can be understood to represent a module, segment, or portion of code that includes one or more executable instructions for implementing a specific logical function or process. The scope of the preferred embodiments of the present application includes additional implementations, where functions may be performed in a substantially simultaneous manner or in a reverse order according to the functions involved, rather than in the order shown or discussed. This should be understood by those skilled in the art to which the embodiments of the present application pertain.

[0055] In the description of this specification, the description with reference to terms such as "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0056] Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and should not be construed as limiting the present application. Those of ordinary skill in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present application.

Claims

1. A vision detection system, comprising a host device and a remote control device, wherein the host device includes a display module and a wireless signal receiving module, the display module is configured to display the visual acuity chart optotypes, and the wireless signal receiving module is configured to receive the direction indication signal sent by the remote control device; the host device is configured to count the correct times and detection time of the subject based on the direction indication signal, and adjust the detection line according to preset conditions, characterized in that, The host device is further configured to: Collect the operation behavior data of the subject operating the remote control device and calculate the hesitation index accordingly. When the hesitation index exceeds the first preset threshold, extend the display time of the optotype in the current detection line or repeat the test of the current detection line. When the hesitation index is lower than the second preset threshold, reduce the correct number condition for switching detection lines; Wherein, the operation behavior data includes the ratio of the number of incorrect attempts to the total number of button presses for the same optotype, the standard deviation of the correct response time, and the variance of the adjacent button intervals.

2. The vision detection system according to claim 1, wherein Calculate the hesitation index based on the following expression: Among them, HI represents the hesitation index, ER represents the ratio of the number of incorrect attempts to the total number of button presses for the same visual target, represents the standard deviation of the correct response time, IV represents the variance of the adjacent button intervals, and T represents the reference interval for normal responses. represents the preset weight coefficient.

3. The vision detection system according to claim 2, wherein, The remote control device is configured to: attach a time stamp and a button type mark each time a button is pressed, and the button type mark includes a correct or incorrect status, and the correct or incorrect status is determined by the real-time feedback of the host device according to the current optotype direction.

4. The vision detection system according to claim 2, wherein, The host device is further configured to calculate the standard deviation of all correct response time intervals for the same detection row, and use this standard deviation as the input into the hesitation index calculation.

5. The vision detection system according to claim 2, wherein, The host device is further configured to: when the number of incorrect attempts for the same optotype reaches the preset number, trigger a repeated test process, and control the display module to randomly display another optotype in the same detection line until the hesitation index is lower than the third preset threshold.

6. The vision detection system according to claim 2, wherein The host device is further configured to: when the hesitation index exceeds the fourth preset threshold, generate a voice prompt to guide the subject to reconfirm the optotype direction.

7. The vision detection system according to claim 2, wherein, The reference interval is the average value of the normal response time statistically obtained from historical data, and the host device is configured to update the reference interval after each round of detection is completed.

8. The vision detection system according to claim 1, wherein, The optotype is implemented by a graphic element with a direction guiding function, and the graphic element at least includes a design in the shape of a bird image, and the directionality of each graphic element is defined by the head direction of the bird image.

9. The vision detection system according to claim 1, wherein, It further includes an ambient light sensor electrically connected to the host device; the host device is further configured to automatically adjust the display brightness of the display module according to the sensing data of the ambient light sensor.

10. The vision detection system according to claim 1, wherein, It further includes an infrared ranging sensor electrically connected to the host device; the host device is further configured to monitor the distance between the subject and the display module through the infrared ranging sensor, and output a reminder message when the distance deviates from the set value.

Citation Information

Patent Citations

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    CN112656363A