A method and system for determining the visual health level of a child and physical intervention

Abstract

This invention discloses a method and system for determining and physically intervening in children's visual distance health levels, relating to the field of myopia prevention and control technology for children and adolescents. The method comprises the following steps: S1, collecting vertical visual distance data between the target child's eyes and the reading / writing surface during reading and writing; S2, comparing the visual distance data with a pre-stored visual distance-accommodation lag quantification model to determine the visual distance health level; S3, initiating the corresponding physical intervention mechanism based on the determined visual distance health level; S4, outputting the visual distance health change trend and generating a child's visual distance health record based on the child's visual distance data, changes in health level, and intervention implementation; S5, synchronizing the child's visual distance health data to a third-party optical correction system to provide behavioral baseline data for the development of optical correction plans. This invention achieves a scientific classification and determination of children's visual distance health, significantly improving the compliance and accuracy of myopia prevention and control in children, and realizing long-term prevention and control of myopia in children from the behavioral source.

Description

Technical Field

[0001] This invention relates to the field of myopia prevention and control technology for children and adolescents, and in particular to a method and system for determining and physically intervening in children's visual distance health level. Background Technology

[0002] Childhood and adolescent myopia has become a global public health challenge. Maintaining a scientific reading and writing distance of ≥33cm is a core measure for myopia prevention and control, and has been clearly listed as a key prevention and control method by the International Institute for Myopia Research and my country's "Guidelines for Myopia Prevention and Control". However, children are prone to developing bad habits of viewing at excessively close distances during daily reading and writing. This behavior directly leads to a surge in eye accommodation demand and a significant increase in accommodation lag, which in turn generates hyperopic defocus signals, driving abnormal axial elongation and becoming the core behavioral source that induces and aggravates myopia. Scientific intervention at the root is urgently needed.

[0003] Current myopia prevention technologies mostly focus on post-refractive error compensation or simple behavioral reminders, failing to address the core issue of excessively close viewing distances at its source, thus exhibiting significant technological shortcomings. Specifically, optical correction technologies such as orthokeratology (Ortho-k) lenses and defocus lenses only correct existing refractive errors, unable to address the behavioral trigger of excessively close viewing distances; intelligent reminder devices such as infrared reminders rely entirely on electronic prompts and children's willpower, leading to rapid decline in compliance with long-term use and difficulty in establishing stable behavioral changes; traditional height-adjustable desks and chairs only passively adapt to changes in children's height, failing to address the root cause of children's forward-leaning and prone reading and writing behaviors from an ergonomic perspective, significantly reducing the effectiveness of myopia prevention.

[0004] Current vision-related intervention technologies suffer from insufficient quantification and limited data utilization, lacking scientific grading standards and systematic data analysis capabilities. There is currently no quantitative model for vision-accommodation lag based on large-sample research data, making it impossible to scientifically grade children's vision-related health status, resulting in a lack of precise basis for interventions. Furthermore, existing technologies can only achieve simple collection of vision-related data, failing to integrate this data with children's refractive status for analysis, and cannot create long-term vision-related health records. This fails to provide data support for personalized myopia prevention and control, and makes it difficult to achieve synergistic prevention and control effects with optical correction and other technologies, thus failing to meet the current needs for precise and systematic prevention and control of childhood myopia. Summary of the Invention

[0005] The purpose of this invention is to propose a method and system for determining and physically intervening in children's visual distance health levels. This aims to solve the problems of existing myopia prevention and control technologies for children, such as the inability to accurately intervene in excessively close viewing distances from the behavioral source, the lack of scientific grading basis for interventions, and the limited use of data. The goal is to achieve scientific determination of children's visual distance health levels and implement differentiated physical interventions.

[0006] To achieve the above objectives, this invention proposes a method for determining and physically intervening in children's visual distance health levels, the steps of which are as follows: Step S1: Periodically or in real time collect vertical visual distance data between the target child's eyes and the reading / writing surface while the child is reading and writing; Step S2: Compare the visual distance data with the pre-stored visual distance-accommodation hysteresis quantification model to determine the visual distance health level; Step S3: Based on the determined visual distance health level, activate the corresponding physical intervention mechanism to guide the child back to a safe visual distance; Step S4: Based on the child's visual distance data, changes in health level, and intervention implementation, output the trend of visual distance health changes, and generate the child's visual distance health record based on real-time or long-term collected visual distance data. Step S5: Synchronize the child's visual distance health data to a third-party optical correction system to provide behavioral baseline data for the development of an optical correction plan.

[0007] Preferably, in step S2, the visual distance-adjustment lag quantification model determines the visual distance health level as Level 1 safe, Level 2 warning, Level 3 high risk, and Level 4 extremely dangerous based on the visual distance ranges of ≥33cm, 30-33cm, 25-30cm, and <25cm, respectively.

[0008] Preferably, in step S3, the activation rules for the physical intervention mechanism are as follows: when the safety level is 1, the current physical state is maintained; when the warning level is 2, mild guidance is activated; when the risk level is 3 or the risk level is 4, physical intervention actions such as forward sliding of the chair seat, blocking of the desktop baffle, and adjustment of the elbow support height are activated.

[0009] Preferably, when the risk level is determined to be Level 3 high risk or Level 4 critical risk, the illuminance of the reading and writing area is simultaneously increased to above 1000 Lux and the color temperature is adjusted to 4000K.

[0010] Preferably, when the chair seat slides forward, the chair seat slides forward until the abdomen is 3-8cm from the edge of the table, so that the occupant's abdomen is at a safe distance of less than one fist from the edge of the table.

[0011] Preferably, in step S4, the file includes a visual distance distribution curve, a grade change trend, and the proportion of time spent beyond visual distance, and the file data is used to predict the risk of myopia in children.

[0012] The present invention also provides a system for determining and physically intervening in children's visual distance health level, for implementing the above-mentioned method for determining and physically intervening in children's visual distance health level, including a visual distance acquisition module, a level determination module, a physical intervention module and a data management module that are connected in sequence, and also includes a light adjustment module that is connected in communication with the level determination module. The visual distance acquisition module is used to periodically or in real time acquire the vertical visual distance data between the eyes and the reading / writing surface of the target child in the reading / writing state; The level determination module pre-stores a viewing distance-adjustment lag quantification model, which is used to determine the viewing distance health level based on real-time viewing distance data, and to calculate the cumulative duration of children's viewing distance less than 33cm within a preset time period and its ratio to the total reading and writing time. When the ratio exceeds a preset threshold, it outputs an ultra-nearsightedness risk warning. The physical intervention module is used to initiate corresponding physical intervention actions such as forward sliding of the chair seat, blocking of the desktop baffle, and adjustment of the elbow support height based on the visual distance health level output by the level determination module. The illumination adjustment module is used to automatically adjust or prompt the reader to increase the illuminance of the reading and writing area to above 1000 Lux and adjust the color temperature to 4000K when the level determination module determines that it is a level three high-risk or level four extremely dangerous area. The data management module is used to record visual distance data, changes in health level and intervention implementation, output visual distance health change trends, generate children's visual distance health records based on long-term collected data and predict myopia risk, and realize synchronization of visual distance health data with third-party optical correction systems. The multi-target management module is communicatively connected to multiple visual distance acquisition modules, enabling it to simultaneously access visual distance data from multiple target children and generate a group visual distance health distribution map.

[0013] Preferably, the physical intervention module includes: When the rating module determines that the current visual distance health level is Level 3 (high risk) or Level 4 (extremely dangerous), the chair seat forward sliding unit drives or prompts the chair seat to slide forward a preset distance, so that the target person's lower back can be effectively supported, thereby limiting the body from leaning forward. The desktop baffle unit is located at the front edge of the desktop. When the target object leans forward to a preset danger threshold, it provides a physical barrier and guides the target object to naturally retreat to a safe line of sight. The elbow support unit can adjust its height automatically or with prompts based on the target user's height, allowing the forearms to rest naturally on the table, relaxing the shoulders and neck, and reducing the tendency to lean forward.

[0014] Therefore, this invention proposes a method and system for determining and physically intervening in children's visual range health level, with the following beneficial effects: (1) This invention realizes the scientific classification of visual distance health based on the visual distance-accommodation lag quantitative model. It blocks the myopia inducing factors from the source of behavior through the ergonomic physical intervention mechanism. It does not rely on the child's subjective willpower, realizes the intervention without feeling, and greatly improves the long-term use compliance.

[0015] (2) This invention can systematically record and analyze visual distance health data and build exclusive health records. It can also synchronize the data to a third-party optical correction system, providing behavioral baseline data for the formulation of refractive correction plans, realizing efficient synergy between physical intervention and optical correction, and improving the overall prevention and control effect.

[0016] (3) This invention supports personalized visual distance management for a single individual in a family, and can also realize group visual distance health management in collective scenarios such as schools through a multi-target management module. At the same time, it can accurately track the trend of visual distance health changes and predict the risk of myopia, so that the prevention and control process and effect can be quantified and evaluated.

[0017] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0018] Figure 1 This is a flowchart of a method for determining and physically intervening in children's visual range health level according to the present invention; Figure 2 This is a flowchart of the visual distance health level determination and dynamic intervention method of the present invention; Figure 3 This is an overall structural diagram of a children's visual distance health level assessment and physical intervention system according to the present invention. Detailed Implementation

[0019] To make the technical solutions, advantages, and objectives of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below. The described embodiments are only some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the described embodiments of the present invention without creative effort are within the protection scope of the present invention.

[0020] Unless otherwise defined, the technical or scientific terms used in this invention shall have the ordinary meaning as understood by one of ordinary skill in the art to which this invention pertains.

[0021] Example 1 like Figures 1-2 As shown, this invention provides a method for determining and physically intervening in children's visual range health levels, as detailed below: Step S1: Periodically or in real time collect vertical visual distance data between the target child's eyes and the reading / writing surface while the child is reading and writing; Step S2: Compare the visual distance data with the pre-stored visual distance-accommodation hysteresis quantification model to determine the visual distance health level; In the line-of-sight-adjustment lag quantification model, the line-of-sight health level is determined as Level 1 safe, Level 2 warning, Level 3 high risk, and Level 4 extremely dangerous based on the line-of-sight range. The specific determination thresholds are shown in Table 1.

[0022] Table 1 Thresholds for Determining Vision Distance Health Level

[0023] Step S3: Based on the determined visual distance health level, activate the corresponding physical intervention mechanism to guide the child back to a safe visual distance; The activation rules for the physical intervention mechanism are as follows: maintain the current physical state when it is safe at level 1; initiate mild guidance when it is a warning at level 2; and initiate physical intervention actions such as sliding the chair forward, blocking the table with a baffle, and adjusting the height of the elbow support when it is high-risk at level 3 or extremely dangerous at level 4.

[0024] When a case is determined to be Level 3 High Risk or Level 4 Extremely Risky, the illuminance of the reading and writing area will be increased to over 1000 Lux and the color temperature will be adjusted to 4000K.

[0025] When the chair seat slides forward, it slides forward until the abdomen is 3-8cm from the edge of the table, so that the sitter's abdomen is at a safe distance of less than one fist from the edge of the table.

[0026] Step S4: Based on the child's visual distance data, changes in health level, and intervention implementation, output the trend of visual distance health changes, and generate a child's visual distance health record based on real-time or long-term collected visual distance data; the health record includes visual distance distribution curve, level change trend, percentage of time spent beyond visual distance, and predicts the child's future myopia risk in combination with the record data.

[0027] Step S5: Synchronize the child's visual distance health data to a third-party optical correction system to provide behavioral baseline data for the development of an optical correction plan.

[0028] The invention will be further illustrated below through specific implementation examples.

[0029] This embodiment integrates children's visual distance health level assessment and physical intervention methods into a home learning setting, conducting personalized visual distance control for an 8-year-old target child. This child's initial average daily reading and writing distance was 24cm, placing him at level four (extremely dangerous), and he also exhibited a frequent habit of leaning forward and crouching while reading and writing. The specific application process is as follows: 1. An infrared distance sensor is used as the visual distance acquisition terminal and is deployed in a designated position on the child's study desk. It collects the vertical visual distance data between the child's eyes and the desktop reading and writing surface in real time at a sampling frequency of 1 time / second. The continuous visual distance data is transmitted to the level determination module in real time, providing an accurate and continuous data source for subsequent level determination.

[0030] 2. After receiving real-time viewing distance data, the pre-stored viewing distance-adjustment lag quantification model of the level determination module compares and determines that the child's initial viewing distance status is Level 4, extremely dangerous. At the same time, it continuously counts the cumulative time when the child's viewing distance is less than 33cm, which accounts for 98% of the total reading and writing time, far exceeding the preset threshold. The level determination module outputs a high-risk warning for ultra-near vision.

[0031] 3. Based on the Level 4 critical danger signal output by the rating module, the physical intervention module immediately initiates full-unit intervention actions: the chair seat sliding unit drives the child's learning chair seat to slide forward 5cm, providing effective support for the child's back and waist, and limiting forward leaning from an ergonomic perspective; the desktop baffle unit manually or automatically raises, forming a physical barrier at the front edge of the desktop, creating gentle resistance when the child attempts to lean forward and crawl, guiding them to naturally retreat; the elbow support unit adjusts its height automatically or automatically based on the child's height data, or prompts the child to adjust to a suitable height, allowing the child's forearms to rest naturally on the desktop, keeping their shoulders and neck relaxed, and fundamentally reducing their motivation to lean forward.

[0032] 4. After receiving the Level 4 critical danger judgment signal, the light adjustment module will automatically or prompt to adjust the light parameters of the reading and writing area of ​​the study desk, increase the illuminance to 1200 Lux, adjust the color temperature to 4000K, and keep the color rendering index Ra above 98, optimize the visual environment for children's reading and writing, completely solve the motivation to read and write at close range due to unclear vision, and help improve the viewing distance.

[0033] 5. The system records children's real-time visual distance data, changes in visual distance health levels, execution time and action parameters for each step, and outputs a real-time trend curve of children's visual distance health changes. Simultaneously, based on long-term collected visual distance data, it generates a personalized visual distance health profile, including a visual distance distribution curve, the percentage of dwell time at each health level, and the percentage of time spent beyond visual distance. This profile data is then used to dynamically predict children's myopia risk. During children's myopia prevention and intervention, the data management module synchronizes the periodic visual distance health data to the third-party optical correction system at offline optometry centers, providing behavioral baseline data for professionals to assess children's myopia prevention status.

[0034] 6. With continuous intervention, the frequency of the child's attempts to lean forward decreased significantly within one week, and the proportion of time spent at near-sighted distances (<25cm) dropped to 40%; after three months, the average reading and writing distance increased to 31cm, and the visual distance health level improved to Level II warning; after six months, the average viewing distance stabilized above 33cm, remained at Level I safety for a long time, and developed standardized reading and writing posture habits. The data management module predicted that the risk of myopia was greatly reduced, realizing personalized and long-term prevention and control of children's visual distance health in the home setting.

[0035] Example 2 like Figure 3As shown, the present invention also provides a children's visual distance health level determination and physical intervention system, which is used to implement the above-mentioned children's visual distance health level determination and physical intervention method, including a visual distance acquisition module, a level determination module, a physical intervention module and a data management module that are connected in sequence, and also includes a light adjustment module that is connected in communication with the level determination module. The visual distance acquisition module uses an infrared range sensor or a depth camera to periodically or in real time acquire the vertical visual distance data between the eyes of the target child and the reading / writing surface while the child is reading or writing, with a sampling frequency of no less than 1 time / second. The level determination module has a pre-stored viewing distance-adjustment lag quantification model, which is used to determine the viewing distance health level based on real-time viewing distance data. It calculates the cumulative time when the child's viewing distance is less than 33cm within a preset time period and its ratio to the total reading and writing time. When the ratio exceeds the preset threshold, it outputs an ultra-near vision risk warning. The physical intervention module is used to activate corresponding physical intervention actions based on the visual distance health level output by the level determination module, including: chair seat forward sliding, desktop baffle blocking, and elbow support height adjustment. When the rating module determines that the current visual distance health level is Level 3 (high risk) or Level 4 (extremely dangerous), the chair seat forward sliding unit drives or prompts the chair seat to slide forward a preset distance, so that the target person's lower back can be effectively supported, thereby limiting the body from leaning forward. The desktop baffle unit is located at the front edge of the desktop. When the target object leans forward to a preset danger threshold, it provides a physical barrier and guides the target object to naturally retreat to a safe line of sight. The elbow support unit automatically adjusts or prompts for height adjustment based on the target person's height, allowing the forearms to rest naturally on the table, relaxing the shoulders and neck, and reducing the motivation to lean forward.

[0036] The illumination adjustment module is used to automatically adjust or prompt the reader to increase the illuminance of the reading and writing area to above 1000 Lux, adjust the color temperature to 4000K, and adjust the color rendering index Ra≥98 when the level determination module determines that it is a level three high-risk or level four extremely dangerous area, thereby reducing the motivation of the target object to approach due to poor vision. The data management module is used to record visual distance data, changes in health level, and intervention implementation status. It outputs the trend of visual distance health changes, generates children's visual distance health records based on long-term collected data, and predicts myopia risk. At the same time, it can synchronize visual distance health data with third-party optical correction systems.

[0037] The multi-target management module communicates with multiple visual distance acquisition modules, enabling it to simultaneously access visual distance data from multiple target children and generate a group visual distance health distribution map.

[0038] It is worth noting that all contents not described in detail in this invention are existing technologies and are well known to those skilled in the art.

[0039] Therefore, this invention provides a method and system for determining and physically intervening in children's visual distance health levels. Through the collaboration of multiple modules, it realizes the scientific classification and determination of children's visual distance health, the source-level physical non-intrusive intervention, and the optimization of the visual environment, which greatly improves the compliance and accuracy of children's myopia prevention and control, and achieves long-term prevention and control of children's myopia from the source of behavior.

[0040] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the technical solutions of the present invention, and these modifications or equivalent substitutions cannot cause the modified technical solutions to deviate from the spirit and scope of the technical solutions of the present invention.

Claims

1. A method for determining and physically intervening in children's visual distance health levels, characterized in that, The specific steps are as follows: Step S1: Periodically or in real time collect vertical visual distance data between the target child's eyes and the reading / writing surface while the child is reading and writing; Step S2: Compare the visual distance data with the pre-stored visual distance-accommodation hysteresis quantification model to determine the visual distance health level; Step S3: Based on the determined visual distance health level, activate the corresponding physical intervention mechanism to guide the child back to a safe visual distance; Step S4: Based on the child's visual distance data, changes in health level, and intervention implementation, output the trend of visual distance health changes, and generate the child's visual distance health record based on real-time or long-term collected visual distance data. Step S5: Synchronize the child's visual distance health data to a third-party optical correction system to provide behavioral baseline data for the development of an optical correction plan.

2. The method for determining and physically intervening in children's visual distance health level according to claim 1, characterized in that, In step S2, the visual distance-adjustment lag quantification model determines the visual distance health level as Level 1 safe, Level 2 warning, Level 3 high risk, and Level 4 extremely dangerous based on the visual distance ranges of ≥33cm, 30-33cm, 25-30cm, and <25cm, respectively.

3. The method for determining and physically intervening in children's visual distance health level according to claim 2, characterized in that, In step S3, the activation rules for the physical intervention mechanism are as follows: when the level is safe, maintain the current physical state; when the level is low warning, initiate mild guidance; when the level is high risk or level is extremely dangerous, initiate physical intervention actions such as sliding the chair forward, blocking the table with a baffle, and adjusting the height of the elbow support.

4. The method for determining and physically intervening in children's visual distance health level according to claim 3, characterized in that, When a case is determined to be Level 3 High Risk or Level 4 Extremely Risky, the illuminance of the reading and writing area will be increased to over 1000 Lux and the color temperature will be adjusted to 4000K.

5. The method for determining and physically intervening in children's visual distance health level according to claim 4, characterized in that, When initiating the chair seat forward sliding intervention, the chair seat slides forward until the abdomen is 3-8cm from the edge of the table, so that the sitter's abdomen maintains a safe distance of less than one fist from the edge of the table.

6. The method for determining and physically intervening in children's visual distance health level according to claim 5, characterized in that, In step S4, the file includes a visual distance distribution curve, a grade change trend, and the proportion of time spent beyond visual distance, and the file data is used to predict the risk of myopia in children.

7. A system for determining and physically intervening in children's visual distance health levels, used to implement the method for determining and physically intervening in children's visual distance health levels as described in any one of claims 1-6, characterized in that, It includes a line-of-sight acquisition module, a level determination module, a physical intervention module, and a data management module that are connected in sequence, and also includes a light adjustment module that is connected in communication with the level determination module; The visual distance acquisition module is used to periodically or in real time acquire the vertical visual distance data between the eyes and the reading / writing surface of the target child in the reading / writing state; The level determination module pre-stores a viewing distance-adjustment lag quantification model, which is used to determine the viewing distance health level based on real-time viewing distance data, and to calculate the cumulative duration of children's viewing distance less than 33cm within a preset time period and its ratio to the total reading and writing time. When the ratio exceeds a preset threshold, it outputs an ultra-nearsightedness risk warning. The physical intervention module is used to initiate corresponding physical intervention actions such as forward sliding of the chair seat, blocking of the desktop baffle, and adjustment of the elbow support height based on the visual distance health level output by the level determination module. The illumination adjustment module is used to automatically adjust or prompt the reader to increase the illuminance of the reading and writing area to above 1000 Lux and adjust the color temperature to 4000K when the level determination module determines that it is a level three high-risk or level four extremely dangerous area. The data management module is used to record visual distance data, changes in health level and intervention implementation, output visual distance health change trends, generate children's visual distance health records based on long-term collected data and predict myopia risk, and realize synchronization of visual distance health data with third-party optical correction systems. The multi-target management module is communicatively connected to multiple visual distance acquisition modules, enabling it to simultaneously access visual distance data from multiple target children and generate a group visual distance health distribution map.

8. A system for determining and physically intervening in children's visual range health levels according to claim 7, characterized in that, The physical intervention module includes: When the rating module determines that the current visual distance health level is Level 3 (high risk) or Level 4 (extremely dangerous), the chair seat forward sliding unit drives or prompts the chair seat to slide forward a preset distance, so that the target person's lower back can be effectively supported, thereby limiting the body from leaning forward. The desktop baffle unit is located at the front edge of the desktop. When the target object leans forward to a preset danger threshold, it provides a physical barrier and guides the target object to naturally retreat to a safe line of sight. The elbow support unit automatically adjusts its height based on the target user's height or prompts for height adjustment, allowing the forearms to rest naturally on the table, relaxing the shoulders and neck, and reducing the motivation to lean forward.

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