Left and right eye recognition method, device, apparatus and medium

Abstract

The application provides a left and right eye recognition method, device, equipment and medium. In the case that a measurement part is opposite to an eye, a transmitter emits a test signal at a preset angle. The test signal includes a first light signal or a second light signal. The first light signal does not carry a code, and the second light signal carries a code. The preset angle is an angle towards a first eye direction. The first eye is one of a left eye and a right eye, and the second eye is the other of the left eye and the right eye. A receiver receives a reflection signal reflected back after the test signal irradiates a face and / or an environment. According to a signal strength or a code of the reflection signal, it is determined that a currently measured eye is the left eye or the right eye. The application embodiment can automatically recognize the left and right eyes.

Description

Technical Field

[0001] This application relates to the field of sensor measurement, and in particular to a method, apparatus, device, and medium for left and right eye recognition. Background Technology

[0002] In recent years, due to various factors leading to eye diseases and unhealthy eye habits, an increasing number of people are suffering from myopia, glaucoma, fundus diseases, cataracts, and other conditions. Extensive eye examinations have become routine. Eye examinations require distinguishing between the left and right eyes; traditional methods involve manual recording, which is prone to errors, leading to inaccurate test results and affecting diagnosis and treatment. Summary of the Invention

[0003] This application provides a method, apparatus, device, and medium for left and right eye recognition, which can automatically identify the left and right eyes.

[0004] In a first aspect, embodiments of this application provide a left-right eye recognition method applied to an intraocular pressure measurement device. The intraocular pressure measurement device includes a measuring unit, a transmitter, and a receiver. The method includes:

[0005] With the measuring unit facing the eye, a test signal is emitted at a preset angle by the transmitter. The test signal includes a first light signal or a second light signal. The first light signal does not carry a code, while the second light signal carries a code. The preset angle is the angle toward the location of the first eye, which is either the left eye or the right eye, and the second eye is either the left eye or the right eye.

[0006] The receiver receives the reflected signal of the test signal after it is irradiated onto the face and / or the environment.

[0007] Based on the signal strength or encoding of the reflected signal, determine whether the currently measured eye is the left or right eye.

[0008] Secondly, this application provides a left / right eye recognition device, which is applied to an intraocular pressure measurement device. The intraocular pressure measurement device includes a measuring unit, a transmitter, and a receiver. The device includes:

[0009] The transmitting module is used to transmit a test signal at a preset angle through a transmitter when the measuring unit is facing the eye. The test signal includes a first light signal or a second light signal. The first light signal does not carry a code, while the second light signal carries a code. The preset angle is the angle toward the location of the first eye, which is either the left eye or the right eye, and the second eye is either the left eye or the right eye.

[0010] The receiving module is used to receive the reflected signal of the test signal after it is irradiated onto the face and / or the environment via a receiver;

[0011] The determination module is used to determine whether the currently measured eye is the left or right eye based on the signal strength or encoding of the reflected signal.

[0012] Thirdly, embodiments of this application provide an electronic device, which includes: a processor and a memory storing computer program instructions;

[0013] When the processor executes computer program instructions, it implements the left and right eye recognition method as in any of the embodiments of the first aspect.

[0014] Fourthly, embodiments of this application provide a computer storage medium storing computer program instructions, which, when executed by a processor, implement the left and right eye recognition method as described in any of the embodiments of the first aspect.

[0015] Fifthly, embodiments of this application also provide a computer program product comprising a computer program stored in a readable storage medium, wherein at least one processor of the device reads from the storage medium and executes the computer program, causing the device to perform the left and right eye recognition method shown in any embodiment of the first aspect.

[0016] In a left-right eye recognition method, apparatus, device, and medium provided in this application embodiment, when the measuring unit is facing the eye, a test signal is emitted by a transmitter at a preset angle. The test signal includes a first light signal or a second light signal. The first light signal does not carry a code, while the second light signal carries a code. The preset angle is the angle towards the location of the first eye, which is either the left or right eye, and the second eye is either the left or right eye. A receiver receives the reflected signal after the test signal is irradiated onto the face and / or the environment. Based on the signal strength or code of the reflected signal, it is determined whether the currently measured eye is the left or right eye. Through this method, a test signal and a second signal can be emitted towards the face at a certain angle, and the reflected signal can be received. By analyzing the reflected signal, it is possible to automatically identify whether the currently measured eye is the left or right eye, thereby improving the accuracy and intelligence of left-right eye recognition. Attached Figure Description

[0017] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments of this application will be briefly introduced below. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 This is a flowchart illustrating a left-right eye recognition method provided in one embodiment of this application;

[0019] Figure 2This is a schematic diagram illustrating the principle of an intraocular pressure measuring device for measuring the left eye, as provided in an embodiment of this application.

[0020] Figure 3 This is a schematic diagram illustrating the principle of an intraocular pressure measuring device for measuring the right eye, as provided in an embodiment of this application.

[0021] Figure 4 This is a schematic diagram of the structure of a left and right eye recognition device provided in an embodiment of this application;

[0022] Figure 5 This is a schematic diagram of the structure of the electronic device provided in the embodiments of this application. Detailed Implementation

[0023] To better understand the above-mentioned objectives, features, and advantages of this disclosure, the solutions disclosed herein will be further described below. It should be noted that, unless otherwise specified, the embodiments and features described herein can be combined with each other.

[0024] Numerous specific details are set forth in the following description in order to provide a full understanding of this disclosure, but this disclosure may also be implemented in other ways different from those described herein; obviously, the embodiments in the specification are only some, and not all, of the embodiments of this disclosure.

[0025] It should be noted that, in this document, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the term "comprising" or any other variations thereof is intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes the element.

[0026] In recent years, due to various factors leading to eye diseases and unhealthy eye habits, an increasing number of people are suffering from myopia, glaucoma, fundus diseases, cataracts, and other conditions, making extensive eye examinations a routine necessity. Eye examinations require distinguishing between the left and right eyes. Traditional methods involve manual recording, which is prone to errors, leading to inaccurate test results and affecting diagnosis and treatment. Currently, some testing devices are exploring automatic identification of the left and right eyes using video and microwave methods. The testing methods currently available on the market primarily employ video and microwave methods. However, video and microwave methods require complex algorithm calculations and necessary spatial structures, resulting in high overall costs.

[0027] To address the problems of the prior art, embodiments of this application provide a method, apparatus, device, and medium for left and right eye recognition. The left and right eye recognition method provided in this application embodiment will be described first below.

[0028] Figure 1 A flowchart illustrating a left-right eye recognition method according to an embodiment of this application is shown. Figure 1 As shown, this method is applied to an intraocular pressure measurement device, which includes a measuring unit, a transmitter, and a receiver. The method may specifically include the following steps:

[0029] S100, when the measuring unit is facing the eye, a test signal is emitted by the transmitter at a preset angle. The test signal includes a first light signal or a second light signal. The first light signal does not carry a code, while the second light signal carries a code. The preset angle is the angle toward the location of the first eye. The first eye is one of the left and right eyes, and the second eye is the other of the left and right eyes.

[0030] Optionally, the left and right eye recognition method provided in this application embodiment is applied to an intraocular pressure measurement device, wherein the transmitter of the intraocular pressure measurement device is used to transmit a test signal, and the receiver is used to receive ambient light and signals reflected back from the transmitted test signal. The measuring unit and the receiver can be arranged sequentially along a first direction, and the transmitter and receiver can be arranged at intervals along a second direction, wherein the first direction and the second direction intersect, and the first direction can be along the central axis of the intraocular pressure measurement device, and the second direction can be perpendicular to the central axis; or the measuring unit, transmitter, and receiver can be arranged sequentially along the first direction.

[0031] Optionally, in this embodiment, the first optical signal can be visible light, such as light with a wavelength range of 0.77 to 0.39 micrometers. In other embodiments, the first optical signal can be infrared light, such as electromagnetic waves in the infrared band with a wavelength range of 0.76 to 1000 micrometers.

[0032] Optionally, in this embodiment, the second optical signal can be an encoded signal. For example, the optical signal can carry data through analog signals or digital encoding, specifically, it can be encoded with logic "1" and logic "0". It is readily understood that the optical signal can also carry information through modulation frequency and phase, and this application is not limited thereto.

[0033] Optionally, in this embodiment, the preset angle, which is the angle pointing towards the location of the first eye, is designed to adapt to the shape and features of the human face, allowing the test signal to have different reflection effects when measuring different eyes. For example, when the intraocular pressure measuring device measures the first eye, because the preset angle is towards the location of the first eye, the test signal will be emitted from the side of the face, such as from beside the ear, illuminating the back of the face. However, when the intraocular pressure measuring device measures the second eye, because the preset angle is towards the location of the first eye, the test signal will be mostly obscured by the face, thus producing different reflection effects. It should be understood that the first eye and the second eye are relative concepts; therefore, the preset angle can be adjusted according to the first and second eyes, as long as the test signal has different reflection effects when measuring different eyes.

[0034] Optionally, in this embodiment, the specific value of the preset angle can be adjusted according to the face shape. For example, if the intraocular pressure measuring device is measuring a male, it will emit a preset angle for a male; if it is measuring a female, it will emit a preset angle for a female. It is easy to understand that this application does not limit the method of determining the preset angle. It can be obtained through model training or manually adjusted during measurement, as long as it can achieve different reflection effects of the test signal when measuring different eyes. This application does not limit this.

[0035] Optionally, the measuring part of the intraocular pressure measuring device is opposite to the eye, that is, the intraocular pressure measuring device is placed directly in front of the eye being measured and aligned and centered on the cornea of ​​the eye being measured. At this point, it indicates that the alignment operation of the testing device is complete and the next measurement can be carried out. At this time, the identification of the left and right eyes begins.

[0036] Optionally, in this embodiment, the angle towards the location of the first eye can be determined according to measurement requirements and eye position. This angle can be preset according to device design and user needs. A test signal is emitted using a transmitter based on the preset angle. Specifically, the preset angle can be determined first based on device design and measurement requirements. Then, the type of test signal is selected as required. For example, a first light signal or a second light signal can be selected for measurement. The transmitter's emission angle is adjusted according to the preset angle to ensure that the transmitter is oriented towards the location of the first eye at the preset angle. Then, at the set angle, the selected test signal is emitted using the transmitter. The transmitter will generate a corresponding light signal and illuminate the specific location.

[0037] S200 receives the reflected signal of the test signal after it has been irradiated onto the face and / or the environment via a receiver.

[0038] Optionally, in this embodiment, the reflected signal is the reflected signal of the test signal after it is irradiated onto a person's face or reflected back from the environment. It should be noted that since the test signal is emitted at a preset angle, the signal strength of the received reflected signal will differ when measuring different eyes.

[0039] Optionally, in this embodiment, the reflected signal can be received by the receiver of the aforementioned intraocular pressure measuring device. In one possible implementation, the received reflected signal can be determined to be a reflection of the test signal based on the identification information of the test signal itself. Specifically, the identification information can be a coded symbol specific to the test signal; by reading this coded symbol, it can be identified whether the received reflected signal is a signal reflected back from the test signal.

[0040] Optionally, in another possible implementation of this application, the received reflected signal can be identified as belonging to the signal reflected back from the test signal based on the transmission frequency of the test signal. In this embodiment, when the receiver of the intraocular pressure measuring device receives the reflected signal, it may also receive ambient light. This ambient light is usually a DC signal, which can be directly filtered out. Specifically, a high-pass filter or a low-pass filter can be used for electronic filtering to remove the DC signal. However, in the actual measurement environment, there may be some modulated light. This light cannot be filtered out by the aforementioned DC signal filtering method. This modulated light often has a different frequency than the test signal. Therefore, an optical filter can be set to filter the modulated light. The optical filter can selectively pass or block signals of specific frequencies to achieve signal filtering. For example, a bandpass filter can be used to pass light of the desired frequency (i.e., the frequency of the test signal), and a blocking filter can be used to block light of different frequencies (i.e., modulated light). More specifically, an interference filter, a prism filter, or a refractive filter can also be used to achieve optical signal filtering.

[0041] Optionally, in this embodiment, the receiver parameters, including gain and sensitivity, can be set first according to measurement requirements and equipment specifications to ensure that the receiver can receive the reflected signal from the face and measure its signal strength. The settings of parameters such as gain and sensitivity will affect the receiver's ability to receive and interpret the reflected signal. The received reflected signal can then be acquired and processed, converted into an electrical signal, including amplification, filtering, and noise reduction to extract useful information and reduce interference. Subsequently, information about the reflected signal can be extracted by measuring parameters such as intensity, frequency, and phase, analyzing the reflection of the test signal, and using this to identify whether the currently measured eye is the left or right eye.

[0042] S300 determines whether the currently measured eye is the left or right eye based on the signal strength or encoding of the reflected signal.

[0043] Optionally, in one possible implementation of this application, assuming the test signal is a first optical signal, the eye currently being measured (left or right eye) can be determined by comparing the signal strength of the reflected signal. In another possible implementation of this application, assuming the test signal is a second optical signal, the eye currently being measured (left or right eye) can be identified by reading and analyzing the specific encoded value carried in the reflected signal.

[0044] Optionally, in this embodiment, a light emitter is used to emit light at a fixed angle. This light may be blocked by the face, or it may be emitted from the side of the face into the environment. The receiver then senses changes in the intensity of the reflected light to determine whether the current intraocular pressure measurement device corresponds to the left or right eye. Therefore, the difference in reflected signal intensity between the left and right eyes can be compared based on the received reflected signal intensity. If the test signal contains encoded information, the eye measurement can be determined through decoding analysis. Based on the characteristics of the encoding, such as specific frequency, timing, pattern, or encoding value, the received reflected signal is compared with the encoding of the left and right eyes to determine the currently measured eye.

[0045] Optionally, in one possible implementation of this application, a reference standard can be first established to determine the signal strength or coding range of the left and right eyes. This can be achieved through pre-calibration or by setting thresholds based on experience. The signal strength or coding of the received reflected signal is then compared with the reference standard. If the signal strength or coding falls within the reference range for the left eye, the currently measured eye can be determined to be the left eye; if the signal strength or coding falls within the reference range for the right eye, the currently measured eye can be determined to be the right eye.

[0046] In a left-right eye recognition method provided in this application embodiment, when the measuring unit is facing the eye, a test signal is emitted by a transmitter at a preset angle. The test signal includes a first light signal or a second light signal. The first light signal does not carry a code, while the second light signal carries a code. The preset angle is the angle towards the location of the first eye, which is either the left or right eye, and the second eye is either the left or right eye. A receiver receives the reflected signal after the test signal is irradiated onto the face and / or the environment. Based on the signal strength or code of the reflected signal, it is determined whether the currently measured eye is the left or right eye. In this way, a test signal and a second signal can be emitted towards the face at a certain angle, and the reflected signal can be received. By analyzing the reflected signal, it is possible to automatically identify whether the currently measured eye is the left or right eye, thereby improving the accuracy and intelligence of left-right eye recognition.

[0047] In one embodiment, step 300 above may specifically be performed as follows:

[0048] S310, when the test signal is the first optical signal, obtains the first signal intensity of the reflected signal.

[0049] Optionally, in this embodiment, a first light signal can be emitted by a transmitter and irradiated onto the face. The signal reflected back from the face is then received by a receiver. The intensity of the reflected signal can be measured and analyzed using the receiver's built-in functions or an external device to obtain the numerical value of the first signal intensity. Specifically, the signal intensity of the reflected signal can be obtained by directly reading the signal structure of the reflected signal; alternatively, the signal intensity of the reflected signal can be detected using a signal intensity detector.

[0050] In these alternative embodiments, by acquiring the first signal strength, a quantized value of the reflected signal can be obtained for subsequent analysis and judgment.

[0051] S320: If the first signal strength is greater than the first preset threshold, determine that the currently measured eye is the second eye.

[0052] Optionally, in this embodiment, a first preset threshold can be set first, based on actual needs and the characteristics of the measurement system, as a standard for determining the eye. Then, the measured first signal intensity is compared with the set first preset threshold. If the first signal intensity is greater than the first preset threshold, the currently measured eye can be determined to be the second eye.

[0053] Alternatively, in one possible implementation of this application, such as Figure 2As shown, a light emitter 4 is installed on one side of the intraocular pressure measuring device 1. During operation, the light emitter 4 emits light at a certain angle. Due to the special characteristics of the human face and the function of the intraocular pressure measuring device 1 itself, a deviation in the intensity of the reflected signal will inevitably occur when testing the left or right eye. This principle is used to determine whether the left or right eye is being tested.

[0054] Optionally, in this embodiment of the application, the intraocular pressure measuring device may be a transmitter that can emit infrared or visible light and at least one receiver 3, used to detect visible light (i.e., reflected signal) reflected from the face of the subject, and determine the eye 8 currently performing the measurement operation based on the intensity of the received reflected light 7.

[0055] Specifically, such as Figure 2 This diagram illustrates the left eye detection. When the intraocular pressure measuring device 1 is aligned with the eyeball 8a, the light beam 6 emitted by the emitter 4 is directed at one side of the receiver 3 at a certain angle. Most of the light beam 6 illuminates the right side of the face and near the nasal bone, forming diffuse reflection due to facial obstruction. A portion of the reflected signal 7 illuminates the receiver 3. At this point, the receiver 3 can detect a significant signal change, i.e., the first signal intensity of the reflected signal is greater than a first preset threshold. Therefore, it is determined that the current measurement is of the left eye.

[0056] In these alternative embodiments, if the intensity of the first signal exceeds a preset threshold, it indicates that the current measurement is of the second eye, thereby enabling correct identification and classification of the eye.

[0057] S330, if the first signal strength is less than the second preset threshold, determine the currently measured eye as the first eye.

[0058] Optionally, in this embodiment, a second preset threshold can be set first to determine the standard for eye identification. The measured first signal intensity is then compared with the set second preset threshold. If the first signal intensity is less than the second preset threshold, the currently measured eye can be determined to be the first eye.

[0059] Alternatively, in one possible implementation of this application, such as Figure 3 This diagram illustrates the right eye detection. When the intraocular pressure measuring device 1 is aligned with the eyeball 8b, the light beam 6 emitted by the emitter 4 is directed at one side of the receiver 3 at a certain angle. Most of the light from the beam 6 illuminates the area around and beyond the right ear of the human body, resulting in very weak reflections on the face. At this time, the receiver 3 can detect a weak signal change, or even no change, meaning the first signal strength is less than the second preset threshold. Therefore, it is determined that the current measurement is for the right eye.

[0060] It should be noted that the light emitter 4 in the above embodiment is located on the left side of the device, but it can also be located on the right side of the device. Based on the position of the light emitter 4, it is determined whether the change in the intensity of the reflected light corresponds to the left or right eye.

[0061] In these alternative embodiments, if the intensity of the first signal is lower than a preset threshold, it indicates that the current measurement is of the first eye, thus enabling correct eye identification and classification. This helps to accurately determine the position and state of the eye in applications such as ophthalmological testing, providing an accurate data foundation for subsequent processing and analysis.

[0062] In one embodiment, prior to step 100, the method may further perform the following steps:

[0063] S400, when the test signal is the first light signal, acquires the initial ambient light intensity of the environment in which the face of the person being tested is located.

[0064] Optionally, in the embodiments of this application, the ambient light can specifically be the ambient light of the current measurement environment. More specifically, the ambient light intensity can be the light intensity of the current initial ambient light.

[0065] Optionally, in this embodiment, when no face is present, the intensity data of the initial ambient light in the environment where the face is located is received by a receiver. The collected ambient light data is then processed and analyzed; for example, statistical methods (such as average, median, etc.) can be used to calculate the intensity of the ambient light. The obtained ambient light intensity is then used as the initial ambient light intensity.

[0066] In these alternative embodiments, the initial ambient light intensity of the environment in which the face of the person being measured is located is obtained, providing a reference value for the initial ambient light intensity of the environment in which the face of the person being measured is located, serving as a benchmark for subsequent measurements.

[0067] In one embodiment, step 200 above may specifically be performed as follows:

[0068] S210, acquire the ambient light intensity of the test environment light in the environment where the face of the person being tested is located, including the reflected signal.

[0069] Optionally, in this embodiment of the application, the test ambient light is all the light in the environment where the face is located at this time after the test signal is emitted and received by the receiver. Therefore, the test ambient light should include the reflected signal of the test signal reflected back from the face.

[0070] Optionally, in this embodiment of the application, information about the test ambient light is received by a receiver to obtain the intensity of the test ambient light.

[0071] In these alternative embodiments, the ambient light intensity of the environment in which the face of the person being tested is located is obtained, providing a reference value for the ambient light intensity during the measurement process. By analyzing the intensity of the test ambient light and the initial ambient light intensity, the left and right eyes can be accurately identified, making the measurement results more accurate and reliable.

[0072] In one embodiment, step 300 above may specifically be performed as follows:

[0073] S340, if the absolute value of the difference between the initial ambient light intensity and the test ambient light intensity is greater than a third preset threshold, the eye being measured is determined to be the second eye.

[0074] Optionally, in this embodiment, the difference between the initial ambient light intensity and the test ambient light intensity is obtained. The difference is then compared to a threshold: the absolute value of the difference is compared to a third preset threshold. If the absolute value of the difference is greater than the third preset threshold, the currently measured eye can be determined to be the second eye.

[0075] Optionally, in one possible implementation of this application, taking the right eye as the first eye and the left eye as the second eye as an example, since the test signal is emitted towards the right eye, when testing the left eye, most of the light from the test signal illuminates the right side of the human face and the vicinity of the nasal bone, forming diffuse reflection under the obstruction of the face. At this time, the receiver 3 can receive more reflected signals. Therefore, the test ambient light at this time must include more reflected signals compared with the initial ambient light. That is to say, the absolute value of the difference between the initial ambient light intensity and the test ambient light intensity is greater than the third preset threshold, and it can be determined that the eye being measured is the left eye.

[0076] S350, if the absolute value of the difference between the initial ambient light intensity and the test ambient light intensity is less than the fourth preset threshold, the eye being measured is determined to be the first eye.

[0077] Optionally, in this embodiment, the difference between the initial ambient light intensity and the test ambient light intensity is obtained. The absolute value of the difference is compared with a fourth preset threshold. If the absolute value of the difference is less than the fourth preset threshold, the currently measured eye can be determined to be the first eye.

[0078] Optionally, in one possible implementation of this application, taking the right eye as the first eye and the left eye as the second eye as an example, since the test signal is emitted towards the right eye, most of the light from the test signal will illuminate the area around the right ear and beyond when testing the right eye. The reflection that can be generated on the face is very weak. At this time, the receiver 3 can only receive a small amount of reflected signal from the face, or even no reflected signal from the face. It receives only reflected signals from the environment. Compared with the reflected signal from the face, the reflected signal from the environment has a longer reflection path. Therefore, the signal strength of the reflected signal from the environment is less than that from the face. Therefore, the difference in signal strength between the test ambient light and the initial ambient light is small. That is, the absolute value of the difference between the initial ambient light intensity and the test ambient light intensity is less than the fourth preset threshold. It can be determined that the eye being measured is the right eye.

[0079] In these alternative embodiments, by judging changes in ambient light intensity, measurement results for different eyes can be distinguished. This provides a basis for eye identification, ensuring that the measurement results correspond to the eye being measured.

[0080] In one embodiment, prior to step 100, the method may further perform the following steps:

[0081] S500 collects multiple ambient light parameters of the initial ambient light in the environment where the face of the person being tested is located at multiple locations. The ambient light parameters include at least one of light intensity and signal intensity of interference signals.

[0082] Optionally, in this embodiment, the ambient light can specifically be the ambient light of the current measurement environment. More specifically, the ambient intensity can be the light intensity of the current ambient light. Then, by analyzing the characteristics of the ambient light, the signal reference intensity is obtained. It should be noted that the ambient light may also contain interference signals such as stray radio waves that interfere with the transmitter's transmission of the test signal. Therefore, before determining the signal reference intensity, these interference signals can be filtered to improve the reliability of the signal reference intensity and further improve the accuracy of left and right eye recognition. The filtering method for interference sources can be referred to the description in step 200, which will not be repeated here.

[0083] Optionally, in this embodiment, sensors or receivers can be placed at multiple locations to cover the entire area of ​​the face. Ambient light parameters at each location can then be measured and recorded using light sensors, photodiodes, or other suitable sensors. These parameters may include light intensity, signal strength of interference signals, etc. The obtained ambient light parameters are then stored or recorded for later use.

[0084] In these alternative embodiments, acquiring multiple ambient light parameters of the initial ambient light surrounding the face of the person being measured provides a comprehensive understanding of the ambient light. By acquiring ambient light parameters at multiple locations, information such as light intensity and interference signal intensity at different locations can be obtained, thereby gaining a comprehensive understanding of the lighting conditions in the environment surrounding the face. By collecting multiple ambient light parameters, variations in ambient light at different locations can be taken into account, thus improving the accuracy and reliability of the measurement.

[0085] The S600 determines the signal reference strength based on multiple ambient light parameters.

[0086] Optionally, in this embodiment, the collected ambient light parameters can be processed and analyzed. For example, the average value, variance, or other statistical indicators of light intensity and interference signal can be calculated to obtain a comprehensive assessment of ambient lighting conditions and interference levels. Based on the analysis results and preset algorithms or rules, a signal reference strength is determined. This may involve modeling and calibrating the relationship between light intensity and interference signal strength. Specifically, linear fitting, curve fitting, grayscale calibration, and other methods can be used to determine the signal reference strength. Subsequently, tests can be conducted under different environmental conditions, and the measurement results can be compared with the expected results to verify the accuracy and stability of the signal reference strength.

[0087] Optionally, in these alternative embodiments, the obtained signal reference intensity can be used as a reference value for subsequent measurements. This reference value serves two purposes: firstly, it can correct the intensity of the reflected signal received by the receiver during normal measurement after the emitter illuminates the face and the signal is reflected, thus obtaining a signal increment or decrement; secondly, it can adjust the emission intensity of the emitter in real time according to the characteristics of ambient light, making the increment or decrement of the reflected signal received by the receiver more stable, facilitating stable measurement.

[0088] In these optional embodiments, by analyzing multiple ambient light parameters, the influence of various environmental factors such as light intensity and interference signals on the measurement can be comprehensively considered, thereby determining a suitable signal reference strength for the current environment. By establishing a signal reference strength, the measurement signal can remain stable under different environmental conditions, reducing the impact of environmental changes on the measurement results and improving the consistency and reliability of the measurement.

[0089] S700 determines the transmitted signal strength of the test signal based on the signal reference strength;

[0090] In one embodiment, step 100 above may specifically be performed as follows:

[0091] S110 transmits test signals at a preset angle and signal strength.

[0092] Optionally, in one possible implementation of this application, an adjustment model can be established based on the signal reference strength and the characteristics of the test signal, using linear fitting, curve fitting, or other suitable mathematical models. This model describes the relationship between the transmitted signal strength and the signal reference strength. Subsequently, based on the established adjustment model, using the signal reference strength as a reference, a suitable transmitted signal strength for the test signal can be calculated. It should be noted that the transmitted signal strength is adjusted according to the current environment.

[0093] For example, when the measurement environment is dark, the transmitted signal strength needs to be reduced to ensure that the measurement can be performed correctly and to ensure the stability of the measurement; when the measurement environment is bright, the transmitted signal strength needs to be increased to prevent the ambient light from being too strong, which would lead to inaccurate measurement and further enhance the stability of the measurement.

[0094] Optionally, in this embodiment, to improve the anti-interference capability during detection, the test signal emitted by the emitter can be pulse-width modulated (PWM), and the signal can be filtered and demodulated at the receiving end that receives the reflected signal. PWM modulation and demodulation can be implemented through software, hardware, or a combination of both. Throughout the detection process, multiple sets of PWM modulation at different frequencies can be used intermittently to increase stability.

[0095] In these alternative embodiments, by adjusting the transmitted signal strength according to a signal reference strength, the test signal can be made to reach an appropriate strength under different environmental conditions to ensure reliable measurement results. Adjusting the transmitted signal strength according to a signal reference strength minimizes the difference between the signal and ambient light, improving the quality and stability of signal transmission.

[0096] In one embodiment, step 300 above may specifically be performed as follows:

[0097] S360 uses a preset signal reference standard as a reference and corrects the received reflected signal by the signal reference strength to obtain the corrected reflected signal. The preset signal reference standard is the signal strength of the reflected signal under preset conditions.

[0098] Optionally, in this embodiment, the signal strength of the reflected signal can first be measured and recorded under preset conditions as a preset signal reference standard. Then, a receiver is used to receive the signal reflected from the face of the person being measured. By comparing the difference between the received reflected signal strength and the signal reference strength, a correction value is calculated. The received reflected signal is then added to or subtracted from the correction value to obtain the corrected reflected signal. The purpose of the correction is to adjust for the influence of environmental factors on the reflected signal, thereby improving the accuracy and stability of the measurement results.

[0099] S370, based on the corrected reflection signal, determines whether the currently measured eye is the left or right eye.

[0100] Optionally, in one possible implementation of this application, after the emitter illuminates the face and the light is reflected off the face, the intensity of the reflected signal received by the receiver during normal measurement can be corrected to obtain a signal increment or a signal decrement, thereby making the measurement result more accurate and ensuring the stability of the measurement.

[0101] In these alternative embodiments, the influence of environmental factors on signal strength can be corrected by modifying the received reflected signal. This includes interference from ambient light, changes in surface reflectivity, and other factors that disturb the signal strength. Furthermore, by comparing with a preset signal reference standard, the effects of systematic errors and environmental changes on signal strength can be eliminated, thereby obtaining more stable and reliable measurement results.

[0102] In one embodiment, the test signal is a second optical signal, and step 100 above can specifically be performed as follows:

[0103] S120, sends a test coded signal at a preset angle, the test signal including the test coded signal.

[0104] Optionally, in one possible implementation of this application, in order to improve stability during actual measurement, n (n≥2) measurements can be performed to identify the absolute signal strength as logic "1" and logic "0" of the digital signal. The test signal is encoded by digital encoding, for example, the test encoded signal can be encoded as "1". It should be noted that the specific value of the encoding can be set according to the user's needs. This application is only illustrative.

[0105] In one embodiment, step 200 above may specifically be performed as follows:

[0106] S210, receive the reflected coded signal after the test coded signal is irradiated onto the face, the reflected signal including the reflected coded signal.

[0107] Optionally, in this embodiment, the receiver records and detects the light signal reflected from the face and converts it into an electrical signal or digital data. Subsequently, a signal processing algorithm and a decoder can be used to extract the coded signal from the received signal. It should be noted that extracting the coded signal may involve steps such as filtering, noise reduction, demodulation, and decoding. Then, the extracted coded signal is analyzed and interpreted according to the encoding scheme and a preset decoding algorithm to extract the coded value of the reflected signal.

[0108] In one embodiment, step 300 above may specifically be performed as follows:

[0109] S301, Obtain the decoded value of the reflection-coded signal;

[0110] S302, compare the differences between the decoded value and the encoded value of the test encoded signal to obtain the bit error rate of the reflected encoded signal. The bit error rate is used to indicate the degree of difference between the decoded value and the encoded value.

[0111] Optionally, taking the above-mentioned test coded signal as coded "1" as an example, if the transmitted test coded signal is effectively blocked, then the decoded value of the reflected coded signal is 1; if it is not effectively blocked, then it is not 1. It is easy to understand that this application can obtain the decoded value corresponding to the reflected coded signal by filtering and demodulating the reflected coded signal.

[0112] Optionally, in this embodiment, obtaining the decoded value of the reflection-coded signal requires a decoding operation. The specific decoding method depends on the encoding scheme used. For example, decoding algorithms, encoding table lookups, or related decoders can be used to convert the reflection-coded signal into the corresponding decoded value.

[0113] Optionally, in one possible implementation of this application, the decoded value can be compared with the encoded value of the test encoded signal, comparing their values ​​bit by bit, that is, performing an XOR operation on each bit of the decoded value and the encoded value to obtain a result sequence. Then, the number of bit errors in the result sequence is counted. The bit error rate is calculated based on the number of bit errors and the total number of encoded values. The bit error rate is usually expressed as a percentage or decimal, representing the degree of difference between the decoded value and the encoded value.

[0114] S303, if the bit error rate is less than the fifth preset threshold, determine the currently measured eye as the second eye.

[0115] Optionally, in one possible implementation of this application, taking the above-mentioned test encoded signal as encoded "1" as an example, the bit error rate is used to identify whether the currently measured eye is the left eye or the right eye through digital encoding.

[0116] Optionally, in this embodiment of the application, the transmitter transmits 1 using an encoding method, and the receiver receives the corresponding reflection encoded signal. The corresponding reflection encoded signal is then filtered and demodulated to obtain the decoded value of the corresponding reflection encoded signal. If there is a strong obstruction, transmitting 1 will receive 1, and transmitting 0 will receive 0. However, if the obstruction is not an effective obstruction, a bit error rate may occur. Thus, the left and right eyes can be identified by the bit error rate.

[0117] Optionally, in this embodiment of the application, if the bit error rate is less than the fifth preset threshold, it means that the second decoded value of the obtained reflection encoded signal is the encoded value of the test encoded signal, that is, the test encoded signal is effectively blocked, indicating that the test encoded signal is blocked by the face. Since the test encoded signal is facing the direction of the first eye, it can be determined that the eye being measured is the second eye.

[0118] S304, if the bit error rate is greater than the sixth preset threshold, determine the currently measured eye as the first eye.

[0119] Optionally, in this embodiment of the application, if the bit error rate is greater than the sixth preset threshold, it means that the decoded value of the obtained reflection encoded signal is not the encoded value of the test encoded signal, that is, the test encoded signal is not effectively blocked, indicating that the first encoded signal is emitted through the side of the face. Since the test encoded signal is directed toward the first eye, it can be determined that the eye being measured is the first eye.

[0120] In these alternative embodiments, by setting coded signals, the measurement results are made more intuitive, eliminating the need for complex algorithms and saving the cost of left and right eye recognition.

[0121] Optionally, in this embodiment of the application, a preset angle for the transmitter to emit test signals can be obtained by training a head shape training model. The head shape training model can be trained based on a training set, which includes multiple human head shape sample images. Through continuous training with the training set, the emission angle of the test signal can be obtained.

[0122] Optionally, such as Figure 2 and Figure 3 As shown, in one possible implementation of this application, the intraocular pressure measuring device 1 is placed directly in front of the determined measuring eye 8a / 8b and aligned with the center of the cornea of ​​the measured eye 8a / 8b. The distance between the probe 5 and the cornea of ​​the measured eye 8a / 8b is maintained at 4-10mm. When the measurement button 2 is pressed, the measuring probe 5 will hit the center of the measuring eye 8a / 8b and bounce back. Then the probe 8 bounces back into the device. Then the receiver 3 is activated to calibrate the ambient light as a reference parameter for each test. Then the emitter 4 emits a 5-30ms time beam 6 in an orderly manner. The receiver 3 receives the light amount of each reflected signal 7. The left and right positions of the measured eye are determined by comparing the magnitude of the reflected light of the light emitted by the emitter 4 and the light beam 6 emitted by the emitter 4 through software settings.

[0123] Figure 4 A schematic diagram of the structure of a left-right eye recognition device provided in another embodiment of this application is shown. For ease of explanation, only the parts related to the embodiments of this application are shown.

[0124] Reference Figure 4This device is used in intraocular pressure measurement equipment, which includes a measuring unit, a transmitter, and a receiver. The device includes:

[0125] The transmitting module 401 is used to transmit a test signal at a preset angle through a transmitter when the measuring unit is facing the eye. The test signal includes a first light signal or a second light signal. The first light signal does not carry a code, while the second light signal carries a code. The preset angle is the angle toward the location of the first eye, which is either the left eye or the right eye, and the second eye is either the left eye or the right eye.

[0126] Receiver module 402 is used to receive the reflected signal of the test signal after it is irradiated onto the face and / or irradiated onto the environment via a receiver;

[0127] The determination module 403 is used to determine whether the currently measured eye is the left eye or the right eye based on the signal strength or encoding of the reflected signal.

[0128] In one embodiment, the determining module 403 may include:

[0129] The first acquisition submodule is used to acquire the first signal intensity of the reflected signal when the test signal is the first optical signal;

[0130] The first determining submodule is used to determine the currently measured eye as the second eye when the first signal strength is greater than the first preset threshold.

[0131] The second determining submodule is used to determine the currently measured eye as the first eye when the first signal strength is less than the second preset threshold.

[0132] In one embodiment, the left and right eye recognition device may further include:

[0133] The first acquisition module is used to acquire the initial ambient light intensity of the environment in which the face of the person being tested is located when the test signal is the first light signal.

[0134] In one embodiment, the receiving module 402 may include:

[0135] The second acquisition submodule is used to acquire the test ambient light intensity of the environment in which the face of the person being tested is located. The test ambient light includes reflected signals.

[0136] In one embodiment, the determining module 403 may further include:

[0137] The third determination submodule is used to determine the currently measured eye as the second eye if the absolute value of the difference between the initial ambient light intensity and the test ambient light intensity is greater than a third preset threshold.

[0138] The fourth determination submodule is used to determine the currently measured eye as the first eye if the absolute value of the difference between the initial ambient light intensity and the test ambient light intensity is less than a fourth preset threshold.

[0139] In one embodiment, the left and right eye recognition device may further include:

[0140] The acquisition module is used to acquire multiple ambient light parameters of the initial ambient light in the environment where the face of the person being tested is located at multiple locations. The ambient light parameters include at least one of light intensity and signal intensity of interference signals.

[0141] The second determining module is used to determine the signal reference strength based on multiple ambient light parameters;

[0142] The third determining module is used to determine the transmitted signal strength of the test signal based on the signal reference strength.

[0143] In one embodiment, the transmitting module 401 may include:

[0144] The first transmitting submodule is used to transmit test signals at a preset angle and transmission signal strength.

[0145] In one embodiment, the determining module 403 may further include:

[0146] The correction submodule is used to correct the received reflected signal by referring to a preset signal reference standard and the signal reference strength to obtain the corrected reflected signal. The preset signal reference standard is the signal strength of the reflected signal under preset conditions.

[0147] The fifth determination submodule is used to determine whether the currently measured eye is the left or right eye based on the corrected reflection signal.

[0148] In one embodiment, the test signal is a second optical signal, and the transmitting module 401 may further include:

[0149] The second transmitting submodule is used to transmit a test coded signal at a preset angle. The test signal includes the test coded signal.

[0150] In one embodiment, the receiving module 402 may further include:

[0151] The receiving submodule is used to receive the reflected coded signal after the test coded signal is irradiated onto the face. The reflected signal includes the reflected coded signal.

[0152] In one embodiment, the determining module 403 may further include:

[0153] The third acquisition submodule is used to acquire the decoded value of the reflection-encoded signal;

[0154] The comparison submodule is used to compare the differences between the decoded value and the encoded value of the test encoded signal to obtain the bit error rate of the reflected encoded signal. The bit error rate is used to indicate the degree of difference between the decoded value and the encoded value.

[0155] The sixth determination submodule is used to determine the currently measured eye as the second eye when the bit error rate is less than the fifth preset threshold.

[0156] The seventh determination submodule is used to determine the currently measured eye as the first eye when the bit error rate is greater than the sixth preset threshold.

[0157] It should be noted that the information interaction and execution process between the above-mentioned devices / units are based on the same concept as the method embodiments of this application. They are devices corresponding to the above-mentioned battery thermal runaway early warning method. All implementation methods in the above-mentioned method embodiments are applicable to the embodiments of this device. For details on its specific functions and the technical effects it brings, please refer to the method embodiment section. It will not be repeated here.

[0158] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is merely an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit. Furthermore, the specific names of the functional units and modules are only for easy differentiation and are not intended to limit the scope of protection of this application. The specific working process of the units and modules in the above system can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0159] Figure 5 A schematic diagram of the hardware structure of the electronic device provided in an embodiment of this application is shown.

[0160] The device may include a processor 501 and a memory 502 storing program instructions.

[0161] When processor 501 executes the program, it implements the steps in any of the above method embodiments.

[0162] For example, the program can be divided into one or more modules / units, one or more of which are stored in memory 502 and executed by processor 501 to complete this application. One or more modules / units can be a series of program instruction segments capable of performing a specific function, which describe the program's execution process in the device.

[0163] Specifically, the processor 501 may include a central processing unit (CPU), an application-specific integrated circuit (ASIC), or one or more integrated circuits that can be configured to implement the embodiments of this application.

[0164] Memory 502 may include mass storage for data or instructions. For example, and not limitingly, memory 502 may include a hard disk drive (HDD), floppy disk drive, flash memory, optical disk, magneto-optical disk, magnetic tape, or Universal Serial Bus (USB) drive, or a combination of two or more of these. Where appropriate, memory 502 may include removable or non-removable (or fixed) media. Where appropriate, memory 502 may be internal or external to the integrated gateway disaster recovery device. In a particular embodiment, memory 502 is non-volatile solid-state memory.

[0165] Memory may include read-only memory (ROM), random access memory (RAM), disk storage media devices, optical storage media devices, flash memory devices, and electrical, optical, or other physical / tangible memory storage devices. Therefore, typically, memory includes one or more tangible (non-transitory) readable storage media (e.g., memory devices) encoded with software including computer-executable instructions, and when the software is executed (e.g., by one or more processors), it is operable to perform the operations described with reference to the methods according to one aspect of this disclosure.

[0166] The processor 501 implements any of the methods described in the above embodiments by reading and executing program instructions stored in the memory 502.

[0167] In one example, the electronic device may also include a communication interface 503 and a bus 510. The processor 501, memory 502, and communication interface 503 are connected via the bus 510 and communicate with each other.

[0168] The communication interface 503 is mainly used to realize communication between various modules, devices, units and / or equipment in the embodiments of this application.

[0169] Bus 510 includes hardware, software, or both, that couples components of an online data traffic metering device together. For example, and not limitingly, the bus may include an Accelerated Graphics Port (AGP) or other graphics bus, an Enhanced Industry Standard Architecture (EISA) bus, a Front Side Bus (FSB), HyperTransport (HT) interconnect, an Industry Standard Architecture (ISA) bus, an Infinite Bandwidth Interconnect, a Low Pin Count (LPC) bus, a memory bus, a Microchannel Architecture (MCA) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a Serial Advanced Technology Attachment (SATA) bus, a Video Electronics Standards Association Local (VLB) bus, or other suitable buses, or combinations of two or more of these. Where appropriate, bus 510 may include one or more buses. Although specific buses are described and illustrated in embodiments of this application, any suitable bus or interconnect is contemplated herein.

[0170] Furthermore, in conjunction with the methods in the above embodiments, this application embodiment can provide a storage medium for implementation. This storage medium stores program instructions; when these program instructions are executed by a processor, they implement any of the methods in the above embodiments.

[0171] This application also provides a chip, which includes a processor and a communication interface. The communication interface and the processor are coupled. The processor is used to run programs or instructions to implement the various processes of the above method embodiments and achieve the same technical effect. To avoid repetition, it will not be described again here.

[0172] It should be understood that the chip mentioned in the embodiments of this application may also be referred to as a system-on-a-chip, system chip, chip system, or system-on-a-chip, etc.

[0173] This application provides a computer program product, which is stored in a storage medium and executed by at least one processor to implement the various processes of the above method embodiments and achieve the same technical effects. To avoid repetition, it will not be described again here.

[0174] It should be clarified that this application is not limited to the specific configurations and processes described above and shown in the figures. For the sake of brevity, detailed descriptions of known methods are omitted here. In the above embodiments, several specific steps are described and shown as examples. However, the method process of this application is not limited to the specific steps described and shown. Those skilled in the art can make various changes, modifications, and additions, or change the order of steps, after understanding the spirit of this application.

[0175] The functional modules shown in the above block diagram can be implemented as hardware, software, firmware, or a combination thereof. When implemented in hardware, they can be, for example, electronic circuits, application-specific integrated circuits (ASICs), appropriate firmware, plug-ins, function cards, etc. When implemented in software, the elements of this application are programs or code segments used to perform the required tasks. Programs or code segments can be stored on machine-readable media or transmitted over a transmission medium or communication link via data signals carried on a carrier wave. "Machine-readable media" can include any medium capable of storing or transmitting information. Examples of machine-readable media include electronic circuits, semiconductor memory devices, ROM, flash memory, erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, radio frequency (RF) links, etc. Code segments can be downloaded via computer grids such as the Internet, intranets, etc.

[0176] It should also be noted that the exemplary embodiments mentioned in this application describe methods or systems based on a series of steps or apparatus. However, this application is not limited to the order of the above steps; that is, the steps can be performed in the order mentioned in the embodiments, or in a different order, or several steps can be performed simultaneously.

[0177] The aspects of this disclosure have been described above with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and program products according to embodiments of this disclosure. It should be understood that each block in the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing apparatus to create a machine such that these instructions, executable via the processor of the computer or other programmable data processing apparatus, enable the implementation of the functions / actions specified in one or more blocks of the flowchart illustrations and / or block diagrams. Such a processor can be, but is not limited to, a general-purpose processor, a special-purpose processor, a special application processor, or a field-programmable logic circuit. It is also understood that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can also be implemented by special-purpose hardware performing the specified functions or actions, or can be implemented by a combination of special-purpose hardware and computer instructions.

[0178] The above are merely specific embodiments of this application. Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, modules, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here. It should be understood that the protection scope of this application is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in this application, and these modifications or substitutions should all be covered within the protection scope of this application.

Claims

1. A left and right eye recognition method characterized by comprising: The method is applied to an intraocular pressure measuring device, and the intraocular pressure measuring device comprises a measuring part, a transmitter and a receiver, and the method comprises the following steps: In a case where the measuring part is opposite to an eye, a test coded signal is transmitted by the transmitter at a preset angle, the preset angle being an angle towards a position of a first eye, the first eye being one of a left eye and a right eye, and a second eye being the other of the left eye and the right eye; A reflected coded signal of the test coded signal reflected back after irradiating to a face and / or an environment is received by the receiver; According to the reflected coded signal, it is determined that the currently measured eye is the left eye or the right eye; The step of determining, according to the reflected coded signal, that the currently measured eye is the left eye or the right eye comprises the following steps: A decoded value of the reflected coded signal is acquired; A difference relationship between the decoded value and an encoded value of the test coded signal is compared, so as to obtain a bit error rate of the reflected coded signal, the bit error rate being used for indicating a difference degree between the decoded value and the encoded value; In a case where the bit error rate is less than a fifth preset threshold, it is determined that the currently measured eye is the second eye; In a case where the bit error rate is greater than a sixth preset threshold, it is determined that the currently measured eye is the first eye.

2. A left and right eye recognizing apparatus characterized by comprising: The device is applied to an intraocular pressure measuring device, and the intraocular pressure measuring device comprises a measuring part, a transmitter and a receiver, and the device comprises the following steps: A test coded signal is transmitted by the transmitter at a preset angle in a case where the measuring part is opposite to an eye, the preset angle being an angle towards a position of a first eye, the first eye being one of a left eye and a right eye, and a second eye being the other of the left eye and the right eye; A reflected coded signal of the test coded signal reflected back after irradiating to a face and / or an environment is received by the receiver; According to the reflected coded signal, it is determined that the currently measured eye is the left eye or the right eye; The determining module comprises the following steps: A third acquisition submodule is configured to acquire a decoded value of the reflected coded signal; A comparison submodule is configured to compare a difference relationship between the decoded value and an encoded value of the test coded signal, so as to obtain a bit error rate of the reflected coded signal, the bit error rate being used for indicating a difference degree between the decoded value and the encoded value; A sixth determination submodule is configured to determine, in a case where the bit error rate is less than a fifth preset threshold, that the currently measured eye is the second eye; A seventh determination submodule is configured to determine, in a case where the bit error rate is greater than a sixth preset threshold, that the currently measured eye is the first eye.

3. An electronic device, comprising: The device comprises a processor and a memory storing computer program instructions; The processor executes the computer program instructions to implement the left and right eye recognition method in claim 1.

4. A computer-readable storage medium, characterized in that, The computer readable storage medium stores computer program instructions, and the computer program instructions are executed by the processor to implement the left and right eye recognition method in claim 1.

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