CN102599879A - Self-adaptive eyesight test intelligent system and eyesight test method - Google Patents

Abstract

An adaptive vision detection intelligent system and a vision detection method. The system includes a subject identification unit, a detection visual mark display unit, a direction selection trigger unit, a detection data processing unit and a detection information management unit. The core of the system is the self-adaptive cycle processing flow of vision detection data composed of a detection visual mark display unit, a direction selection trigger unit and a detection data processing unit. Each time the visual mark signal appearing on the visual mark display unit undergoes random transformation in four directions, the size of the visual mark matches the logarithmic international vision test standard. The examinee selects the trigger button according to his own vision ability. The detection data processing unit obtains the detection data through the bluetooth device and after several cycles of processing, automatically obtains the true value of the subject's vision. The self-adaptive vision detection intelligent system and vision detection method reduce the cost of medical services in the vision detection process, and make the vision detection process more accurate, precise, convenient, fast and intelligent.

Description

Adaptive vision detection intelligent system and vision detection method

technical field

The invention discloses an intelligent system for automatic detection of human vision and data processing. Its content involves computer data processing technology fields such as international standard vision detection methods, RFID technology, Bluetooth communication technology, Internet of Things technology, and data mining.

Background technique

Visual acuity, also known as central vision, reflects the visual function at the center of the macula. The vision beyond 5 meters is called distance vision, and the vision when reading at 30 cm is called near vision. To resolve two points, two cone cells must be excited in the retina separated by at least one inactive cone cell. The diameter of the pyramidal cells in the fovea of the macula is 1-1.5 microns. The resolution of the normal human eye is 1' angle of view, which is equivalent to a distance of 4.96 microns on the retina. The eye chart is designed according to this principle. Angle of view refers to the angle formed by the light rays reflected at both ends of the external object passing through the intersection of nodes. The larger the object, the larger the viewing angle. The farther away the object is, the smaller the viewing angle becomes. Visual acuity is a measure of viewing angle (in minutes of angle): visual acuity = 1/viewing angle. If someone's viewing angle is 1', vision=1/1'=1.0, and someone's viewing angle is 10', vision=1/10'=0.1. There are two kinds of eye chart graphics commonly used at present, C shape and E shape, and each kind of figure stroke is 1 ' angle of view, and each kind of figure contains 5 ' angle of view.

For the visual inspection method, when checking distance vision, the inspection distance is 5 meters, the eye chart should be placed at a height of 1.0 (or logarithmic vision chart 5.0) and the visual mark should be parallel to the subject's eyes, and the illumination should be appropriate. Visual acuity checks are generally done right first, then left, with both eyes separately. While examining one eye, the other eye can be covered with a blindfold. The examinee's eyes must be wide open, and they must not squint, squint, or tilt their head. When checking, point to the optotype from top to bottom. If the answer is correct, point to the next line of optotype. The recognition speed averages 3 to 5 seconds per word. Record the visual acuity value next to the last row of optotypes for which the answer is correct. If you can't see the 4.0 visual mark clearly at 5 meters, you should gradually approach the eye chart, and record the distance at which you can see the 4.0 visual mark clearly at first, press (D is the distance that the normal eye should see for the 4.0 visual mark, and d is The distance between the person being checked and the eye chart) calculates the visual acuity being checked. If you still can’t see the 4.0 visual mark at 1 meter from the eye chart, you can use the method of identifying the fingers in front of you to measure your vision. From far to near, you can record the visual acuity according to the distance at which you can see the index of the finger at the beginning. If you are close to 5 cm, you still can’t see clearly For finger counting, change the whole hand to swing in front of your eyes, and record the distance that you can see the hand swing clearly at a distance of 30 cm to 5 cm. If you can't distinguish the manual, you can project light on your eyes in a dark room to check whether there is light perception and whether you can judge the direction of light projection. Such as loss of light perception is total blindness.

Although the orientation symbol E printed on the existing visual acuity test form or the table box has several sets of combination schemes, for each visual acuity test form or form box, the position of the orientation symbol E is fixed. Therefore, in enrollment, In the selection of talents such as recruitment, recruiting, and conscription, it often happens that the inspected personnel whose eyesight is not up to the standard rely on memorizing the location of the symbol E on the vision chart to pass the test, which brings safety hazards and social injustice to the key positions. , resulting in adverse social impact.

When testing the eyesight of the subject, the tester needs to look and point to the azimuth symbol E on the vision test chart, and then look back at the tester's instruction results. During the one-day test, the tester's head must be Swing back and forth several times for a long time, it is easy to cause damage to the neck muscles and bones. (When) the number of subjects to be tested is large, the working pressure of the testing doctor increases, and the testing process is also prone to inaccurate testing results due to manual errors.

The tester uses a small stick to point the sight mark, which is prone to inaccurate pointing position. If the testee cannot see the small stick clearly, the accuracy of the test result will be affected.

In the traditional visual acuity testing process, it usually starts from a certain line of the eye chart and is tested line by line until the subject cannot see clearly. This process is time-consuming and labor-intensive.

In recent years, my country's Intellectual Property Office has successively published reports on "automatic vision detectors". Receive the signal sent by its direction indicator and frame parts, and then send to the PC. But adopting the national standard logarithmic eye chart box still can't fundamentally get rid of the fraud of the person being tested, and its data acquisition and processing device and circuit that are located in the eye chart box are also quite complicated. Furthermore, the personal information about the detected person needs to be manually input into the PC, which is a process that is labor-intensive and time-consuming. The detection distance is only limited to 2.5m, and its value cannot be changed according to the surrounding environment. During the detection process, the detection starts from the pre-input initial detection line, and then checks up or down line by line according to the correctness and error of the judgment, and the detection process is time-consuming. During collective testing, statistical data cannot be automatically given to evaluate group vision.

Applying information technology to recreate the standard process of human vision testing has become the research mission of this generation. The "adaptive vision detection intelligent system and processing method" proposed here makes the standard vision detection system, that is, the standard vision detection table and the vision detection method, updated and more perfect. Through Internet information retrieval, my country Intellectual Property Office's public patent literature search and my country's library collection electronic literature (CNKI) search, no reports or records of technologies or methods related to the content of "Adaptive Vision Detection Intelligent System and Processing Method" were found.

Contents of the invention

The purpose of the present invention is to solve the problems of technical flaws such as fixed detection signals, rigidity, and inconvenient data processing in the existing vision detection equipment and monitoring methods; Detect data errors or inaccurate data results; provide an adaptive vision detection intelligent system and a vision detection method.

The specific structure of the self-adaptive vision detection intelligent system provided by the present invention includes a subject identification unit, a detection visual mark display unit, a direction selection trigger unit, a detection data processing unit and a detection information management unit; a detection data processing unit and a detection information management unit The unit is a functional unit set on the computer host, and the subject identification unit, detection visual mark display unit and direction selection trigger unit are external devices connected with the computer host;

Subject identification unit: It is a radio frequency identification wireless read-write device, which automatically identifies the target object and obtains relevant data through radio frequency signals; that is, the subject's personal identification information is used as the key value of the database, so that the vision detection information management unit can realize the information about the subject. information management of users. When the personal identification information of the examinee appears in the examinee information column of the detection visual mark display unit, the system automatically enters the automatic test period of monocular vision.

Detection visual mark display unit: the hardware device of the detection visual mark display unit is a liquid crystal display or a projector connected to a computer; The action of selecting and touching the keys to the trigger unit occurs in sequence, and whenever the visual target appears, the direction of the visual target is randomly selected and changed in four directions: up, down, left and right;

Direction selection trigger unit: it is a remote control marked with four visual target directions and a confirmation button, or a wireless mouse;

The direction selection trigger unit can adopt bluetooth communication technology to realize data transmission with the detection data processing unit. In order to facilitate the reliable, safe and convenient use of data transmission, it is necessary to select a paired Bluetooth communication adapter; the power supply of the selection trigger unit is configured as a standard lithium battery of 4 volts to 5 volts.

Detection data processing unit: The detection data processing unit is the core unit of the entire adaptive vision detection intelligent system; this unit sends a compliant visual mark signal to the detection visual mark display unit and receives the visual mark selection signal from the direction selection trigger unit; The optotype signal circulates in the data flow processing loop formed by the detection optotype display unit, the selection trigger unit and the detection data processing unit; the detection data processing unit applies Half-way data mining processing technology screens out the real vision data of the subject, that is, the true value of vision; but in the online processing of vision test data, when the behavior of the subject changes, whether it conforms to the system operating rules or violates the operating rules , will cause the processing response of the detection data processing unit.

Detection information management unit: The detection information management unit is an important information management unit of the adaptive vision detection intelligent system; The examinee's vision test result database consists of four parts: the subject's personal information identification, the subject's vision test result archiving, the subject's overall visual acuity statistical evaluation, and the subject's vision test result database constitute the information management functional framework of the vision test intelligent system ; This framework completes the addition, deletion, checking, modification and statistical processing of the subject information and test result data information, and is responsible for completing the printing and archiving functions of outputting test reports to the system administrator and subjects.

The present invention simultaneously provides a kind of vision detection method adopting above-mentioned self-adaptive vision detection intelligent system, and this method comprises:

1. The detection data processing unit obtains the control data of the visual mark signal related to the size of the visual mark and the direction of the visual mark through calculation, and sends it to the detection visual mark display unit;

2. The detection visual mark display unit displays the visual mark signal to the subject standing outside the specified distance;

3. After reading the visual target signal, the subject selects and triggers the function key corresponding to the visual target direction through the hand selection trigger unit, and sends a feedback signal to the detection data processing unit;

4. The detection data processing unit discriminates and processes the feedback signal, or gives the true value of the tester's eyesight, or returns to step 1 to continue the test. The content and steps of screening and processing the feedback signal include:

4.1. Compare the optotype selection feedback signal sent by the subject with the optotype signal control data sent by the detection data processing unit to the detection optotype display unit. If the direction is consistent, it means match, and if the direction is inconsistent, it means mismatch;

4.2. In the screening process of equal to or less than 3 signals, when the matching number equal to 2 for the first time causes the size of the visual target to change towards the value of 5.2 of the international standard logarithmic visual acuity value, the control data of the visual target size is corresponding to the current visual target 1/2 of the sum of the visual acuity value and the corresponding value of the visual mark 5.0, repeat the above step 2;

4.3. In the signal screening process with a matching number equal to or less than 3, when the number of mismatches equal to 2 first causes the size of the visual mark to reverse a corresponding value in the direction of the 4.0 value of the international standard logarithmic visual acuity value, repeat the above 2nd step step;

Step 4.4. After the system determines that "matching" occurs in step 4.2 and repeats, the visual acuity value corresponding to the visual mark in step 4.3 where "mismatch" occurs for the first time is the true value of visual acuity of the vision tester, and the detection data processing unit terminates the test.

Among them, the control data of the visual target signal sent by the detection data processing unit to the detection visual target display unit is taken from the enumeration class composed of four directions: up, down, left and right, and the control visual target is obtained by taking the modulo of 4 by the number of recursive processing times. A random change of direction.

Main advantages and positive effects of the present invention:

The method and process of human vision detection have been changed through computer data processing technology. The number of medical staff has been reduced and the cost of medical services has been reduced.

Through computer data processing technology, the fixed printed icons in the visual acuity test table are updated to display optotypes whose direction changes randomly in the liquid crystal display. It prevents the phenomenon that the examinee cheats the society by relying on his memory, and improves the fairness of the social physical examination by relying on computer technology.

Through computer data processing technology, the data processing of human vision detection tends to be intelligent, and the vision detection results are more accurate and more refined.

Through the computer data processing technology, the collection, printing, statistics and archiving of the information processing related to the crowd examination become easier and more convenient to process.

Description of drawings

Fig. 1 is a block diagram of the composition of the self-adaptive vision detection intelligent system of the present invention.

Fig. 2 is the man-machine interface of the adaptive vision detection intelligent system of the present invention.

Figure 3 is a size chart of the visual mark in a 5-meter environment.

Figure 4 is a diagram of the size and size of the optotype for different screen sizes.

Fig. 5 is a schematic diagram of the surface layout of the directional trigger unit.

In the figure, 1. subject identification unit, 2. detection visual mark display unit, 3. subject, 4. selection trigger unit, 5. detection data processing unit, 6. detection information management unit.

Detailed ways

Embodiment 1, adaptive visual acuity detection intelligent system

As shown in Figure 1, the specific structure of the adaptive vision detection intelligent system provided by the present invention includes a subject recognition unit 1, a detection visual mark display unit 2, a direction selection trigger unit 4, a detection data processing unit 5, and a detection information The management unit 6, the subject identification unit, the detection visual mark display unit and the selection trigger unit are external devices connected with the computer host.

Subject identification unit 1: a radio frequency identification (RFID) wireless read-write device, which automatically identifies the target object and obtains relevant data through radio frequency signals. That is, the personal identification information of the examinee is used as the key value of the database, so that the vision detection information management unit realizes information management about the examinee. When the personal identification information of the examinee appears in the examinee information column of the visual mark display unit, the system automatically enters the automatic test period of monocular vision.

Detection visual mark display unit 2: the hardware device of the visual mark display unit may be a liquid crystal display connected to a computer, or a projector. The clarity of the detection visual target is related to the resolution of the display. Generally, we choose a resolution of 1024X768. The standard size of the detection visual target is not only related to the viewing angle, but also related to the screen size of the display and the test distance between the display and the detection object. The standard eye chart is designed according to the principle of visual angle. The so-called angle of view is the angle formed by the light emitted by two external points and the node in the eye (that is, the angle formed when the two points of the external object enter the eye and intersect). Under normal circumstances, the human eye can distinguish the angle of view formed by the minimum distance between two points as the minimum angle of view, that is, one point of angle of view. Therefore, the standard eye chart is designed in units of one point of view. Therefore, we assume that the vision detection distance is 5 meters, and the display size is 19 inches (4:3); then the size of the detection target (4.0 to 5.3) under the logarithmic standard constraint is shown in Figure 3.

Direction selection trigger unit 4: the intelligent system for automatic vision detection and data processing is a human-computer interaction computer intelligent processing system. The examinee should keep a specified distance from the screen of the optotype display unit; the other eye should be covered during the monocular test. The examinee selects and triggers the optotype selection trigger button on the selector in the hand within 3 seconds after the optotype signal appears on the screen of the optotype display unit. The order of the two-eye test is the left eye first, then the right eye. The examinee can operate according to the prompt navigation on the screen of the operating optotype display unit during vision detection. Select the trigger unit. The functional design of the optotype trigger unit is to receive the instruction sent by the examinee through the movement of the hand, and transmit the instruction to the vision detection data processing unit of the system through the bluetooth communication unit. Select the hardware of the optotype trigger unit, which can be a button remote control marked with four directions of the optotype, or a wireless mouse. In order to facilitate reliable, safe and convenient data transmission, a paired Bluetooth communication adapter needs to be selected. The visual target trigger and Bluetooth communication are integrated in the product design, and its power supply configuration is a standard lithium battery of 4 volts to 5 volts.

Detection data processing unit 5: the vision detection data processing unit is the core unit of the entire adaptive vision detection intelligent system. Its function is to send the visual mark signal conforming to the regulations to the detection visual mark display unit and receive the visual mark selection signal from the direction selection trigger unit and the bluetooth communication unit. Relevant optotype signals circulate in the data flow processing loop formed by the detection optotype display unit, the examinee, the direction selection trigger unit and the vision detection data processing unit. The visual acuity detection data processing unit displays the ratio difference between the visual target signal and the selected visual target signal, and uses the data mining and processing technology of the half-way method to screen out the real visual acuity data of the subject, that is, the true value of visual acuity. However, when the vision test data is processed online, when the behavior of the subject changes, whether it conforms to the system operating rules or violates the operating rules, it will cause the reaction processing of the vision test data online processing unit.

Detection information management unit 6: the vision detection information management unit is an important information management and online detection data processing unit of the adaptive vision detection intelligent system. Its functions are divided into four parts: identification of the subject's personal information, archiving of the subject's vision test results, statistical evaluation of the subject's overall vision, and the database of the subject's vision test results. Among them, the subject's personal information identification, the subject's vision test result archiving, the subject's overall vision statistical evaluation and the subject's vision test result database constitute the information management functional framework of the vision test intelligent system. The framework completes the addition, deletion, checking, modification and general statistical processing of the subject information and test result data information, and is responsible for completing the printing and archiving functions of outputting test reports to the system administrator and subjects.

Embodiment 2, description of adaptive vision detection method

The method for realizing adaptive vision detection by adopting the adaptive vision detection intelligent system described in embodiment 1 includes:

1. The detection data processing unit transmits the control data of the size of the visual target and the direction of the visual target obtained after processing to the detection visual target display unit;

2. The detection visual mark display unit displays the visual mark signal to the subject standing outside the specified distance;

3. The examinee reads the visual mark signal, selects and triggers the corresponding direction key (see Figure 5) on the selection trigger unit 4, and sends a feedback signal to the host computer;

4. The detection data processing unit 5 running on the computer host screens and processes the feedback signal, or gives the true value of the tester's eyesight, or returns to step 1 to continue the test.

The direction control data of the visual target described in the first step is taken from the enumeration class composed of four directions: up, down, left and right, and the random transformation of controlling the direction of the visual target is obtained by taking the modulo of 4 for the number of recursive processing. As mentioned above, the visual target size control data under the condition of a measurement distance of 5 meters is shown in Table 1 below:

Table 1. The control data of visual mark size under the condition of measuring distance of 5 meters

The detection data processing unit described in step 4 discriminates and processes the feedback signal and the steps include:

4.1. Compare the optotype selection feedback signal sent by the subject with the optotype signal control data sent by the detection data processing unit to the detection optotype display unit. If the direction is consistent, it means match, and if the direction is inconsistent, it means mismatch;

4.2. In the screening process of equal to or less than 3 signals, when the matching number equal to 2 for the first time causes the size of the visual target to change towards the value of 5.2 of the international standard logarithmic visual acuity value, the control data of the visual target size is corresponding to the current visual target 1/2 of the sum of the visual acuity value and the corresponding value of the visual mark 5.0, repeat the above step 2.

4.3. In the signal screening process with a matching number equal to or less than 3, when the number of mismatches equal to 2 first causes the size of the visual mark to reverse a corresponding value in the direction of the 4.0 value of the international standard logarithmic visual acuity value, repeat the above 2nd step step.

4.4. After the system determines that "matching" occurs in step 4.2 and repeats, the visual acuity value corresponding to the visual mark in step 4.3 where "mismatch" occurs for the first time is the true value of visual acuity of the vision tester, and the detection data processing unit terminates the test.

The screening logic in the process of monocular vision detection data mining is as follows:

Assumptions:

①E={0, 1, 2, 3} is an enumeration type;

②E show(mid); E res(mid)); Visual mark display function, feedback function is E type.

③Search_VCT (int low, int high, int mid) vision detection online processing function.

When the detection distance is fixed at 5 meters, the size of the display will change. When the size of the monitor changes such as 11 inches, 15 inches, 19 inches, 22 inches, and 27 inches, the size of the visual mark is shown in Figure 4:

Embodiment 3, the usage method of adaptive human vision detection intelligent system

The using method of the adaptive human vision detection intelligent system that the present invention relates to is:

1. The subject enters the test process of the vision test system through the radio frequency identification card.

2. The subject reads the optotype signal displayed by the detection optotype display unit, selects the optotype button of the trigger unit, and sends a feedback signal to the system.

3. The vision detection data processing unit receives the visual target selection feedback signal, and performs comprehensive screening and processing of the signal

a. Make a control decision to make the visual target smaller or larger, correct the visual target signal and send it to the display unit for detecting the visual target, and cycle to 2.

b. Make a decision to end the monocular test or the end of the binocular test and enter the information management unit.

4. The vision detection information management unit realizes the functions of data collection, statistics, printing and archiving.

Claims (4)

1. Adaptive visual acuity detection intelligent system, it is characterized in that the concrete structure of this system comprises, subject identification unit, detection visual mark display unit, selection trigger unit, detection data processing unit and detection information management unit; Detection data processing unit The detection information management unit and the detection information management unit are functional units arranged on the computer host, and the subject identification unit, the detection visual mark display unit and the selection trigger unit are external devices connected with the computer host; Subject identification unit: radio frequency identification wireless reading and writing equipment, which automatically identifies the target object and obtains relevant data through radio frequency signals; Detecting visual mark display unit: the hardware device of detecting visual mark display unit is a liquid crystal display or a projector connected to a computer; the process of displaying visual mark by the detecting visual mark display unit is under the control of the vision detection data processing unit, and is in the hands of the examinee. The selection and key-touch actions of the selection trigger unit occur in sequence, and whenever the visual target appears, the direction of the visual target is randomly selected and changed in four directions: up, down, left and right; Direction selection trigger unit: it is a remote control marked with four visual target directions and a confirmation button, or a wireless mouse; Detection data processing unit: The detection data processing unit is the core unit of the entire adaptive vision detection intelligent system; this unit sends a compliant visual mark signal to the detection visual mark display unit and receives the visual mark selection signal from the direction selection trigger unit; The optotype signal circulates in the data flow processing loop formed by the detection optotype display unit, the selection trigger unit and the detection data processing unit; the detection data processing unit applies Half method data mining and processing technology to screen out the real vision data of the subject, that is, the true value of vision; Detection information management unit: The detection information management unit is an important information management unit of the adaptive vision detection intelligent system; The examinee's vision test result database consists of four parts: the subject's personal information identification, the subject's vision test result archiving, the subject's overall visual acuity statistical evaluation, and the subject's vision test result database constitute the information management functional framework of the vision test intelligent system ; This framework completes the addition, deletion, checking, modification and statistical processing of the subject information and test result data information, and is responsible for completing the printing and archiving functions of outputting test reports to the system administrator and subjects. 2. A vision detection method employing the adaptive vision detection intelligent system claimed in claim 1, characterized in that the method comprises: 1. The detection data processing unit obtains the control data of the visual mark signal related to the size of the visual mark and the direction of the visual mark through calculation, and sends it to the detection visual mark display unit; 2. The detection visual mark display unit displays the visual mark signal to the subject standing outside the specified distance; 3. After reading the visual target signal, the subject selects and triggers the function key corresponding to the visual target direction through the hand selection trigger unit, and sends a feedback signal to the detection data processing unit; 4. The detection data processing unit discriminates and processes the feedback signal, or gives the true value of the tester's eyesight, or returns to step 1 to continue the test. 3. The method according to claim 2, characterized in that the detection data processing unit described in the 4th step performs screening and processing of the feedback signal and the steps include: 4.1. The detection data processing unit compares the optotype selection feedback signal sent by the subject with the optotype signal control data of the detection optotype display unit. If the direction is consistent, it means matching, and if the direction is inconsistent, it means mismatch; 4.2. In the screening process of signals equal to or less than 3 times, when the number of matches equal to 2 for the first time makes the visual target size change towards the value of 5.2 of the visual acuity value in the international standard logarithmic system, the control data of the visual target size is the current visual target 1/2 of the sum of corresponding visual acuity value and visual mark 5.0 corresponding value, repeat the 2nd step in claim 2; 4.3. In the screening process of signals equal to or less than 3 times, when the number of mismatches equal to 2 first makes the size of the visual mark change to a corresponding value in the direction of the 4.0 value of the international standard logarithmic visual acuity value; repeat claim 2 Step 2 of; 4.4. After the system determines that "matching" occurs in step 4.2 and repeats, the visual acuity value corresponding to the visual mark in 4.3 where "mismatch" occurs for the first time is the true visual acuity value of the vision tester, and the detection data processing unit terminates the test. 4. The method according to claim 2 or 3, characterized in that the visual mark signal control data sent by the detection data processing unit to the detection visual mark display unit is taken from the enumeration class formed by the four directions of up, down, left and right , by taking the modulo 4 of the number of recursive processing, the random transformation that controls the direction of the visual target is obtained.

Images