Eye behavior recognition and optical defocus regulation method for children

Abstract

The application particularly relates to the technical field of data processing and analysis, and discloses a children's eye behavior recognition and optical defocus regulation method, which comprises the following steps: S1, physiological behavior data acquisition: obtaining physiological behavior data; S2, children's eye risk judgment: judging the eye behavior risk grade of children; S3, optical defocus scheme design: calculating optical defocus parameters; S4, behavior auxiliary intervention collaborative formulation; S5, real-time monitoring and immediate intervention: formulating real-time linkage intervention strategies and setting a behavior reminding trigger mechanism; S6, short and medium-term iteration and review: formulating iteration adjustment strategies, constructing a closed-loop collaborative mechanism of data acquisition-risk judgment-multi-means intervention-effect feedback-iteration optimization, and constructing a behavior-optical dynamic collaborative optimization mechanism, so that precise tracking and immediate response are realized, the pertinence of myopia prevention and control is enhanced, and the overall energy efficiency of the prevention and control system is effectively improved.

Description

Technical Field

[0001] This invention relates to the field of data processing and analysis technology, and more specifically, to a method for recognizing children's eye-use behavior and controlling optical defocus. Background Technology

[0002] In recent years, the rate of myopia among children has exploded. Myopia not only affects the quality of learning and life, but may also lead to blinding eye diseases such as retinal detachment and macular degeneration. Prolonged close-range use of the eyes, insufficient outdoor activities, and poor posture are the main causes of myopia. Monitoring eye use behavior and intervening in real time is a key link in myopia prevention. With the development of sensor technology and the iteration of optical defocus control technology, myopia prevention and control has shifted from passive correction to active prevention, and myopia prevention and control among children has entered the era of precision.

[0003] Existing methods for preventing and controlling myopia in children include comprehensive screening and risk assessment, development and implementation of targeted intervention measures, dynamic monitoring and effect tracking, and optimization and closed-loop adjustment of the plan. With the closed-loop process as the core, these methods integrate multi-dimensional intervention approaches, while also providing personalized adaptation and adjustment, effectively meeting the needs of myopia prevention, intervention, and long-term management in children.

[0004] However, it still has some shortcomings in actual use. First, the behavioral intervention lacks real-time capability. The existing behavioral intervention methods for preventing children's eye use mainly rely on parental supervision and children's self-cooperation. They lack the ability to track and intervene in real time with technology, and cannot accurately capture bad eye use behaviors, resulting in low execution efficiency.

[0005] Second, personalized adaptation and adjustment are lagging behind. Existing methods for preventing and controlling myopia in children are mainly based on static refractive data from regular check-ups. They do not combine the characteristics of children's daily eye use behavior to optimize parameters, lack a collaborative mechanism between behavioral data and optical design, and cannot respond to changes in children's eye use habits in a timely manner, thus weakening the pertinence and effectiveness of myopia prevention and control.

[0006] Third, the synergy among multiple intervention methods is weak. The existing methods for preventing and controlling children's eye problems, including optical intervention, behavioral intervention, and drug-assisted methods, are relatively independent and have not formed a data-driven synergistic mechanism. The feedback of the effects of each intervention link is fragmented, resulting in insufficient synergistic efficiency of the overall prevention and control system. Summary of the Invention

[0007] In view of this, embodiments of the present invention provide a method for recognizing children's eye use behavior and controlling optical defocus. By constructing a closed-loop collaborative mechanism of data collection, risk assessment, multi-means intervention, effect feedback and iterative optimization, and constructing a behavior-optics dynamic collaborative optimization mechanism, the method effectively solves the problems of lack of real-time behavior intervention, lag in personalized adaptation and adjustment, and weak synergy of multiple intervention methods mentioned in the background art.

[0008] To achieve the above objectives, the present invention provides the following technical solution: a method for recognizing children's eye-use behavior and controlling optical defocus, comprising a data acquisition terminal, an intervention execution terminal, an intelligent platform terminal, a doctor's workstation terminal, and a parent monitoring terminal:

[0009] S1: Physiological and behavioral data collection: Collect children's physiological and behavioral data through data collection terminals, and transmit them to the intelligent platform terminal to integrate the two types of data to obtain physiological and behavioral data;

[0010] S2: Children's Eye Use Risk Assessment: Based on physiological and behavioral data, a comprehensive eye use behavior risk score for children is calculated through an intelligent platform terminal, and the level of eye use behavior risk for children is determined.

[0011] S3: Optical defocusing scheme design: The doctor's workstation terminal retrieves physiological behavior data from the intelligent platform terminal to calculate optical defocusing parameters, and sends them to the intelligent platform terminal to formulate an optical defocusing scheme;

[0012] S4: Collaborative Development of Behavioral Assistance Interventions: Behavioral assistance intervention plans are developed through the doctor's workstation terminal and synchronized to the parent monitoring terminal and data collection terminal through the smart platform terminal;

[0013] S5: Real-time monitoring and immediate intervention: Real-time monitoring of children's eye use data through data collection terminals, development of real-time linkage intervention strategies, and setting of behavior reminder trigger mechanisms;

[0014] S6: Short-to-medium-term iteration and review: The intelligent platform terminal regularly calculates the iteration adjustment parameters, formulates the iteration adjustment strategy, and calculates the behavior compliance rate weekly to generate a review report which is pushed to the parent monitoring terminal.

[0015] The technical effects and advantages of this invention are as follows:

[0016] 1. This invention monitors children's eye use data in real time through a data acquisition terminal. Combined with the real-time linkage intervention strategy and behavior reminder triggering mechanism of the intelligent platform terminal, the intervention mode can be triggered immediately when bad behavior occurs, which greatly improves the timeliness and execution efficiency of behavior intervention and realizes technical precision tracking and instant response.

[0017] 2. This invention integrates physiological and behavioral data through an intelligent platform terminal. When designing optical defocusing solutions, the doctor's workstation terminal directly links behavioral characteristic calculation parameters. At the same time, through regular iterative adjustment strategies, combined with weekly behavioral target achievement rates and real-time data, optical parameters are continuously optimized, achieving personalized adaptation driven by both static refractive data and dynamic behavioral characteristics. This ensures that the solution can respond promptly to changes in children's eye habits and enhance the targeted nature of myopia prevention and control.

[0018] 3. This invention uses an intelligent platform terminal as a data hub to connect the data collection terminal, intervention execution terminal, doctor workstation terminal, and parent monitoring terminal. The optical defocusing scheme and the behavioral assistance intervention scheme are synchronized through the intelligent platform to ensure that the optical adjustment and behavioral guidance goals are consistent. Real-time monitoring data provides a basis for drug-assisted decision-making. Ultimately, a closed-loop collaborative mechanism is formed, which improves the overall efficiency of the prevention and control system. Attached Figure Description

[0019] Figure 1 This is a schematic diagram of the method steps of the present invention.

[0020] Figure 2 This is a schematic diagram of the overall structure of the present invention.

[0021] Figure 3 This is a schematic diagram of the short-to-medium-term iterative review steps of the present invention. Detailed Implementation

[0022] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0023] As attached Figure 1 The method for recognizing children's eye use behavior and controlling optical defocus shown includes a data acquisition terminal, an intervention execution terminal, an intelligent platform terminal, a doctor's workstation terminal, and a parent monitoring terminal.

[0024] In a more specific application of this invention, the data acquisition terminal includes a smart wearable terminal, a physiological detection terminal, and an environmental sensing terminal. The smart wearable terminal integrates a multi-sensor eye-protection clip and smart glasses / bracelet for real-time collection of eye behavior data, and has a built-in accelerometer, gyroscope, light sensor, and near-infrared camera. The physiological detection terminal includes an axial length measuring instrument, a corneal curvature meter, a computer optometry instrument, and an intraocular pressure meter for accurate collection of static physiological data. The environmental sensing terminal includes a smart desk lamp and an indoor light sensor to collect the light intensity and light source stability of the reading and writing scene in real time, assisting in behavioral intervention judgment. The data acquisition terminal is connected to the smart platform terminal via Bluetooth or wired Ethernet.

[0025] The intervention execution terminal is used to perform optical defocus control, correct poor eye behavior, and assist in the execution of interventions in conjunction with optical solutions, including customized defocus lenses, orthokeratology lenses, smart dynamic lenses, behavior reminder devices, and vision function training devices. The intervention execution terminal is connected to the smart platform terminal via Bluetooth.

[0026] The intelligent platform terminal consists of a cloud server and a local edge computing terminal, which are responsible for data storage, algorithm operation and multi-terminal data synchronization, and support the linkage analysis of behavioral data and optical parameters.

[0027] The doctor's workstation terminal is a computer device deployed in hospitals / optometry centers. It integrates data management software, supports viewing children's physiological data, behavioral data, and prevention and control effect curves, generates optical parameter adjustment suggestions through algorithms, and optimizes intervention plans remotely or offline. The doctor's workstation terminal connects to the intelligent platform terminal via wired Ethernet to achieve two-way communication.

[0028] The parental monitoring terminal is installed on a mobile phone / tablet to receive daily / weekly reports on children's eye use behavior, reminders of bad behavior, and notifications of follow-up examination times. It supports viewing the prevention and control effects and manually recording the duration of outdoor activities and the use of electronic devices. The parental monitoring terminal connects to the smart platform terminal via a 4G / 5G network and to the smart wearable terminal in the data collection terminal via Bluetooth.

[0029] For the connection methods of the aforementioned data collection terminal, intervention execution terminal, intelligent platform terminal, doctor workstation terminal, and parent monitoring terminal, please refer to [link / reference]. Figure 2 .

[0030] The specific embodiments of the present invention include the following steps:

[0031] S1: Physiological and behavioral data collection: Collect children's physiological and behavioral data through data collection terminals, and transmit them to the intelligent platform terminal to integrate the two types of data to obtain physiological and behavioral data;

[0032] Furthermore, the collection of children's physiological data requires doctors to monitor and acquire data for the target children at the optometry center using the physiological detection terminal in the data acquisition terminal. The children's physiological data includes axial length L, myopia degree D, corneal curvature C, and intraocular pressure I. The children's behavioral data requires parents to have the target children wear the smart wearable terminal in the data acquisition terminal and start continuous monitoring for 7 days. The children's behavioral data includes the daily average near-vision usage percentage R, the daily average outdoor time T, and the daily average frequency of posture deviation N.

[0033] In this embodiment, it is important to explain that after the physiological data of the child collected by the doctor is transmitted to the intelligent platform terminal, it is uploaded to the doctor's workstation terminal. After confirmation by the doctor's workstation terminal, the intelligent platform terminal automatically matches the target child's age-matched baseline data, including the average axial length L of the same age group. m Upper limit of axial length for the same age L u Children's behavioral data is synchronized to the intelligent platform terminal and integrated with children's physiological data to obtain physiological behavioral data, which provides effective data support for subsequent steps.

[0034] S2: Children's Eye Use Risk Assessment: Based on physiological and behavioral data, a comprehensive eye use behavior risk score for children is calculated through an intelligent platform terminal, and the level of eye use behavior risk for children is determined.

[0035] Furthermore, the calculation steps for the comprehensive eye use behavior risk score for children are as follows:

[0036] S1.1: The intelligent platform terminal calculates the physiological index score S1 based on the target child's axial length and myopia degree in physiological behavior data, as well as the automatically matched average and upper limit of axial length for the same age. It also calculates the potential risk value G of annual axial length growth based on the target child's axial length, the average axial length for the same age, and the average daily outdoor time. Finally, it calculates the behavioral index score S2 based on the average daily near-vision usage ratio, the average daily outdoor time, and the average daily postural deviation frequency.

[0037] In this embodiment, it should be specifically explained that the calculation formula for the physiological index score S1 is as follows:

[0038] ,

[0039] Where D represents the child's myopia degree; if the child is emmetropia / hyperopia, then D=0; the formula for calculating the potential risk value G of annual axial length growth is:

[0040] ,

[0041] Where 0.3 is a constant, representing the baseline value for the annual axial length growth of a typical child; the formula for calculating the behavioral indicator score S2 is:

[0042] ,

[0043] Where T represents the average daily outdoor activity time of children, ranging from 0 to 4 hours, with 4 hours being the ideal value; R represents the average daily near-field eye use ratio of children, ranging from 30% to 80%, with 30% being the ideal value and 80% being the high-risk value; and N represents the average daily frequency of postural deviations of children, ranging from 5 to 30 times, with 5 times being the ideal value and 30 times being the high-risk value.

[0044] S1.2: Substitute the physiological indicator score S1, behavioral indicator score S2, and the potential risk value G of annual axial length growth into the formula:

[0045] ,

[0046] The comprehensive eye use behavior risk score S and G for children were calculated. t The ideal annual axial length growth is 0.1 mm / year, corresponding to the normal growth rate in children. (G) hThe high-risk threshold for annual axial length growth is 0.4 mm / year. W1, W2, and W3 represent the weighting coefficients of physiological index score, behavioral index score, and potential risk value of annual axial length growth, respectively, with values ​​of 0.3, 0.4, and 0.3. The range of the child's comprehensive eye use behavior risk score S is 0-100.

[0047] In this embodiment, it is important to explain that the comprehensive eye use behavior risk score for children integrates three core dimensions: current physiological status, behavioral triggers, and future trends. The physiological index score is converted into a risk contribution value, with a higher value indicating a greater impact from the current refractive error. This intuitively quantifies the child's current degree of myopia or risk of refractive error. The behavioral index score is converted into a risk contribution value, accurately measuring the controllable effects of insufficient outdoor activity, excessive near use, and poor posture on myopia. The potential risk value of annual axial length growth is used to predict the future rate of myopia progression, thus visualizing the risk of future progression.

[0048] Furthermore, the assessment of children's eye use behavior risk level requires setting a scoring threshold based on the children's comprehensive eye use behavior risk score S, dividing the children's eye use behavior risk level into a first risk level, a second risk level, and a third risk level, and comparing the children's comprehensive eye use behavior risk score calculated in real time with the scoring threshold to obtain the children's eye use behavior risk level.

[0049] In this embodiment, the specific steps for determining the risk level of children's eye-use behavior are as follows:

[0050] S2.1: When S < 60, the risk level of children's eye use behavior is the first risk level, which means that the risk level is low and behavioral prevention is the main approach, without the need for special optical / drug intervention.

[0051] S2.2: When 60≤S<80, the risk level of children's eye use behavior is the second risk level, which means that behavioral correction and basic optical intervention are required, and the axial length of the eye needs to be checked regularly.

[0052] S2.3: When S≥80, the risk level of children's eye use behavior is the third risk level, which means that the risk level is high and multiple intervention methods are required, and the interval between follow-up examinations should be shortened.

[0053] S3: Optical defocusing scheme design: The doctor's workstation terminal retrieves physiological behavior data from the intelligent platform terminal to calculate optical defocusing parameters, and sends them to the intelligent platform terminal to formulate an optical defocusing scheme;

[0054] Furthermore, the optical defocus parameters include core defocus amount P, microlens density M, and microlens spacing d, based on physiological behavioral data such as the daily average near-vision usage percentage R, axial length L, and the average axial length L of the same age group. m Substitute into the formula:

[0055] ,

[0056] The core defocus amount P is calculated, where P1 represents the basic defocus amount, which is set according to the lens type. K1 represents the near vision ratio correction coefficient, and K2 represents the axial length deviation correction coefficient. The microlens density M and microlens spacing d are obtained based on the lens physical data. The optical defocus parameters are only calculated for children in the second and third risk levels. The doctor confirms the optical defocus parameters calculated by the doctor's workstation terminal and sends them to the intelligent platform terminal after approval.

[0057] In this embodiment, it should be specifically noted that the core defocus amount is the key factor determining the effectiveness of myopia control. The basic defocus amount P1 is for DIMS lenses, with a clinical default value of 2.50D. This type of lens is the first choice for children at medium risk. K1 defaults to 0.4. For every 10% increase in near vision, the defocus amount increases by 4%. K2 defaults to 0.3D / mm. For every 1mm increase in axial length beyond the average for the same age, the defocus amount increases by 0.3D. The microlens density is used to ensure that the defocus signal uniformly covers the retina, and the microlens spacing is used to avoid visual interference caused by microlens overlap.

[0058] It should be further explained that the doctor's confirmation of optical defocus parameters includes vision verification, comfort prediction, and risk adaptation. Vision verification refers to the doctor retrieving the child's far / near vision data on the workstation terminal to confirm that the defocus amount will not cause a decrease in corrected vision. Comfort prediction refers to judging, based on the child's corneal curvature, whether the microlens spacing will cause discomfort such as double vision or dizziness. Risk adaptation refers to confirming whether the parameters exceed the safety limit of the risk level. If it is medium risk, it is confirmed that the defocus amount has not reached the +3.50D limit to avoid excessive intervention.

[0059] Furthermore, the optical defocus solution includes the child's basic information, optical defocus parameters, adaptation requirements, follow-up plan, and supporting suggestions. The intelligent platform terminal generates a unique solution number for the optical defocus solution, binds the optical defocus solution to the device ID of the intervention execution terminal, and pushes the optical defocus solution to the parent monitoring terminal to complete the solution notification process.

[0060] In this embodiment, it is important to specify that the child's basic information includes the child's name, age, program number, designated doctor, and program date, serving as a unique identifier for the program and facilitating tracking and follow-up visits. Optical defocus parameters include lens type, core defocus amount, microlens density, and microlens spacing, guiding lens production / adjustment and forming the core of prevention and control. Adaptation requirements include wearing scenarios, wearing duration, and cleaning requirements, ensuring the program's effectiveness and lens lifespan. The follow-up plan includes the initial follow-up time, regular follow-up time, and emergency follow-up time, allowing for dynamic adjustment of the program to prevent effectiveness degradation. Supporting suggestions include behavioral cooperation, auxiliary interventions, and contraindications, used to coordinate behavioral interventions and improve overall prevention and control efficiency.

[0061] S4: Collaborative Development of Behavioral Assistance Interventions: Behavioral assistance intervention plans are developed through the doctor's workstation terminal and synchronized to the parent monitoring terminal and data collection terminal through the smart platform terminal;

[0062] Furthermore, the development of behavioral assistance intervention plans requires doctors to log in to the intelligent platform terminal through the doctor's workbench terminal to obtain the risk level of children's eye use behavior. For different risk levels of children's eye use behavior, behavioral assistance intervention plans are developed, including behavioral rules, assistance interventions, and reminder settings. After the behavioral assistance intervention plan is developed, it is sent to the intelligent platform terminal to achieve multi-terminal synchronization and parameter adaptation.

[0063] In this embodiment, it should be specifically noted that the children in the first risk level, namely those with emmetropia or mild hyperopia, whose behavioral pain points are only occasional insufficient outdoor time / excessive near work time, and whose axial length growth is ≤0.3mm / year, are mainly preventive and mildly supervised. Personalized behavioral intervention rules are formulated, and the auxiliary intervention plan does not require strong medical intervention, focuses on habit cultivation, and sets mild reminders, such as the smart clip vibrating once when near work exceeds 35 minutes; when outdoor time is not up to standard, the parent's APP pushes the next day's outdoor plan suggestion in the evening.

[0064] For children in the second risk level, specifically those who are already nearsighted or have refractive errors, the behavioral pain points are a high proportion of near-vision activities (62.5%) and insufficient outdoor time (1.2 hours), with an axial length increase of 0.3-0.4 mm / year. The intervention focuses on correcting bad habits and providing basic support. Personalized behavioral intervention rules are more stringent than those for the first risk level, and the intervention plan requires mild medical assistance to enhance the prevention and control effect. Strong reminders are set, such as vibration and voice reminders triggered by excessive near-vision time. When outdoor activity targets are not met, the parent's app pushes an outdoor check-in reminder every 2 hours, and the data collection terminal simultaneously records the number of times the target is not met.

[0065] For children at the third risk level, specifically those at high risk of myopia, whose behavioral pain points include continuous close-up work exceeding 2 hours + outdoor time ≤ 1 hour + severe postural deviations and axial elongation > 0.4mm / year, mandatory intervention and multi-pronged approach are required. The most stringent personalized behavioral rules need to be established to reduce myopia triggers. The auxiliary intervention plan involves multiple medical interventions to control the rate of progression and set mandatory reminders. For example, if close-up work exceeds the recommended time without rest, the smart glasses will vibrate continuously and give voice prompts until the child adjusts their behavior. If the outdoor time requirement is not met, the parent's app will push an emergency reminder every hour and synchronize it to the doctor's workstation, allowing the doctor to proactively contact the parents.

[0066] S5: Real-time monitoring and immediate intervention: Real-time monitoring of children's eye use data through data collection terminals, development of real-time linkage intervention strategies, and setting of behavior reminder trigger mechanisms;

[0067] Furthermore, the children's eye use data includes viewing distance, the proportion of continuous near-vision use, ambient light intensity, and frequency of posture deviation. The data acquisition terminal transmits the real-time monitored children's eye use data to the intelligent platform terminal. Based on the viewing distance d1, ambient light intensity I, and core defocus amount P, the real-time defocus amount P2 is calculated, and the behavior reminder trigger threshold T2 is calculated based on the proportion of continuous near-vision use R1. The lenses are adjusted in real time based on the real-time defocus amount, and the behavior reminder trigger mechanism is set based on the reminder trigger threshold.

[0068] In this embodiment, it should be specifically noted that the real-time linkage intervention strategy refers to adjusting the lens in real time based on the real-time defocus amount obtained from monitoring and calculation. The formula for calculating the real-time defocus amount is as follows:

[0069] ,

[0070] Where K3 represents the distance correction factor, with a default value of 0.3, and K4 represents the illumination correction factor, with a default value of 0.15. The intelligent platform terminal issues lens adjustment commands to the intervention execution terminal based on the real-time defocus amount, and the lens needs to complete the adjustment within 100ms; the formula for calculating the reminder trigger threshold is:

[0071] ,

[0072] Where T Y This indicates the basic preset threshold, which is 30 minutes by default. When a child's continuous screen time exceeds T2, the data acquisition terminal will trigger a vibration reminder and simultaneously push it to the parent monitoring terminal.

[0073] S6: Short-to-medium-term iteration and review: The intelligent platform terminal regularly calculates the iteration adjustment parameters, formulates the iteration adjustment strategy, and calculates the behavior compliance rate weekly to generate a review report and pushes it to the parent monitoring terminal.

[0074] Furthermore, such as Figure 3 As shown, the steps for short- to medium-term iterative review are as follows:

[0075] S3.1: The intelligent platform terminal integrates a week's worth of physiological behavior data to form a weekly behavior dataset, including outdoor time, near-use rest, use of electronic devices, and posture and lighting. Based on the weekly behavior dataset, the behavior compliance rate is calculated, and a weekly review report is automatically generated based on the behavior compliance rate.

[0076] In this embodiment, it should be specifically noted that the calculation of the weekly behavior compliance rate requires weighted summation of the compliance of individual indicators in the weekly behavior dataset and taking the average value to obtain the weekly behavior compliance rate. Whether an individual indicator is compliant or not is determined according to a preset threshold. The weekly review report includes a compliance overview, non-compliance analysis, personalized suggestions, and goals for the following week.

[0077] S3.2: Integrate children's follow-up examination data and physiological and behavioral data from the past 3 months to form an iterative dataset. The iterative dataset includes physiological data, behavioral data, and prevention and control effect data. Based on the iterative dataset, calculate iterative adjustment parameters, including the axial length growth control effectiveness rate, defocus adjustment coefficient, and behavioral intervention improvement rate. Based on the calculation results of the iterative adjustment parameters, automatically generate iterative adjustment strategies.

[0078] In this embodiment, it should be specifically noted that the calculation of the axial length growth control effectiveness is based on the ratio of the difference between the predicted annual axial length growth value 3 months ago and the actual axial length growth value 3 months ago to the actual axial length growth value 3 months ago. This is used to evaluate the core effect of optical intervention. The defocus adjustment coefficient is calculated by multiplying the ratio of the difference between the predicted annual axial length growth value 3 months ago and the axial length growth control target to the axial length growth control target by 0.2. This is used to determine the optimization range of optical parameters. The behavior improvement rate is calculated based on the ratio of the difference between the average achievement rate 3 months ago and the average achievement rate in the first month to the average achievement rate in the first month. This is used to evaluate the behavior adjustment space. The iterative adjustment strategy includes three dimensions: optical parameter optimization, behavior rule optimization, and auxiliary intervention optimization.

[0079] Secondly: The accompanying drawings of the embodiments disclosed in this invention only involve the structures involved in the embodiments disclosed in this invention. Other structures can refer to the general design. In the absence of conflict, the same embodiment and different embodiments of this invention can be combined with each other.

[0080] In conclusion, the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for recognizing children's eye-use behavior and controlling optical defocus, characterized in that, This includes data collection terminals, intervention execution terminals, intelligent platform terminals, doctor workstation terminals, and parent monitoring terminals: S1: Physiological and behavioral data collection: Collect children's physiological and behavioral data through data collection terminals, and transmit them to the intelligent platform terminal to integrate the two types of data to obtain physiological and behavioral data; S2: Children's Eye Use Risk Assessment: Based on physiological and behavioral data, a comprehensive eye use behavior risk score for children is calculated through an intelligent platform terminal, and the level of eye use behavior risk for children is determined. The calculation steps for the comprehensive eye use behavior risk score for children are as follows: S1.1: The intelligent platform terminal calculates the physiological index score S1 based on the target child's axial length and myopia degree in physiological behavior data, as well as the automatically matched average and upper limit of axial length for the same age. It also calculates the potential risk value G of annual axial length growth based on the target child's axial length, the average axial length for the same age, and the average daily outdoor time. Finally, it calculates the behavioral index score S2 based on the average daily near-vision usage ratio, the average daily outdoor time, and the average daily postural deviation frequency. S1.2: Substitute the physiological indicator score S1, behavioral indicator score S2, and the potential risk value G of annual axial length growth into the formula: ， The comprehensive eye use behavior risk score S and G for children were calculated. t The ideal annual axial length growth is 0.1 mm / year, corresponding to the normal growth rate in children. (G) h The high-risk threshold for annual axial length growth is 0.4 mm / year. W1, W2, and W3 represent the weighting coefficients of physiological index score, behavioral index score, and potential risk value of annual axial length growth, respectively, with values ​​of 0.3, 0.4, and 0.

3. The range of the comprehensive eye use behavior risk score S for children is 0-100. S3: Optical defocusing scheme design: The doctor's workstation terminal retrieves physiological behavior data from the intelligent platform terminal to calculate optical defocusing parameters, and sends them to the intelligent platform terminal to formulate an optical defocusing scheme; The optical defocus parameters include core defocus amount P, microlens density M, and microlens spacing d, based on physiological behavioral data such as the daily average near-vision usage percentage R, axial length L, and the average axial length L of peers. m Substitute into the formula: ， The core defocus amount P is calculated, where P1 represents the basic defocus amount, which is set according to the lens type. K1 represents the near use ratio correction coefficient, and K2 represents the axial deviation correction coefficient. The microlens density M and microlens spacing d are obtained based on the lens physical data. The optical defocus parameters are only calculated for children in the second and third risk levels. The doctor confirms the optical defocus parameters calculated by the doctor's workstation terminal and sends them to the intelligent platform terminal after approval. S4: Collaborative Development of Behavioral Assistance Interventions: Behavioral assistance intervention plans are developed through the doctor's workstation terminal and synchronized to the parent monitoring terminal and data collection terminal through the smart platform terminal; S5: Real-time monitoring and immediate intervention: Real-time monitoring of children's eye use data through data collection terminals, development of real-time linkage intervention strategies, and setting of behavior reminder trigger mechanisms; The children's eye use data includes viewing distance, the proportion of continuous near-field eye use, ambient light intensity, and frequency of posture deviation. The data acquisition terminal transmits the real-time monitored children's eye use data to the intelligent platform terminal. Based on the viewing distance d1, ambient light intensity I, and core defocus amount P, the real-time defocus amount P2 is calculated, and the behavior reminder trigger threshold T2 is calculated based on the proportion of continuous near-field eye use R1. The lens is adjusted in real time based on the real-time defocus amount, and the behavior reminder trigger mechanism is set based on the reminder trigger threshold. S6: Short-to-medium-term iteration and review: The intelligent platform terminal regularly calculates the iteration adjustment parameters, formulates the iteration adjustment strategy, and calculates the behavior compliance rate weekly to generate a review report and pushes it to the parent monitoring terminal.

2. The method for recognizing children's eye-use behavior and controlling optical defocus according to claim 1, characterized in that: The collection of children's physiological data requires doctors to monitor and acquire the data for the target child at the optometry center through the physiological detection terminal in the data acquisition terminal. The children's physiological data includes axial length L, myopia degree D, corneal curvature C, and intraocular pressure I. The children's behavioral data requires parents to have the target child wear the smart wearable terminal in the data acquisition terminal and start continuous monitoring for 7 days. The children's behavioral data includes the daily average near-vision usage percentage R, the daily average outdoor time T, and the daily average frequency of posture deviation N.

3. The method for recognizing children's eye-use behavior and controlling optical defocus according to claim 1, characterized in that: The determination of the risk level of children's eye use behavior requires setting a scoring threshold based on the comprehensive eye use behavior risk score S of children, dividing the risk level of children's eye use behavior into a first risk level, a second risk level, and a third risk level, and comparing the comprehensive eye use behavior risk score of children calculated in real time with the scoring threshold to obtain the risk level of children's eye use behavior.

4. The method for recognizing children's eye-use behavior and controlling optical defocus according to claim 1, characterized in that: The optical defocus solution includes the child's basic information, optical defocus parameters, adaptation requirements, follow-up plan, and supporting suggestions. The intelligent platform terminal generates a unique solution number for the optical defocus solution, binds the optical defocus solution to the device ID of the intervention execution terminal, and pushes the optical defocus solution to the parent monitoring terminal to complete the solution notification process.

5. The method for recognizing children's eye-use behavior and controlling optical defocus according to claim 1, characterized in that: The development of the behavioral assistance intervention plan requires doctors to log in to the intelligent platform terminal through the doctor's workbench terminal to obtain the risk level of children's eye use behavior. For different risk levels of children's eye use behavior, a behavioral assistance intervention plan is developed, which includes behavioral rules, assistance intervention and reminder settings. After the behavioral assistance intervention plan is developed, it is sent to the intelligent platform terminal to achieve multi-terminal synchronization and parameter adaptation.

6. The method for recognizing children's eye-use behavior and controlling optical defocus according to claim 1, characterized in that: The steps for the short-to-medium-term iterative review are as follows: S3.1: The intelligent platform terminal integrates a week's worth of physiological behavior data to form a weekly behavior dataset, including outdoor time, near-use rest, use of electronic devices, and posture and lighting. Based on the weekly behavior dataset, the behavior compliance rate is calculated, and a weekly review report is automatically generated based on the behavior compliance rate. S3.2: Integrate children's follow-up examination data and physiological and behavioral data from the past 3 months to form an iterative dataset. The iterative dataset includes physiological data, behavioral data, and prevention and control effect data. Based on the iterative dataset, calculate iterative adjustment parameters, including the axial length growth control effectiveness rate, defocus adjustment coefficient, and behavioral intervention improvement rate. Based on the calculation results of the iterative adjustment parameters, automatically generate iterative adjustment strategies.

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