Visual training method, device and equipment for myopia prevention and control

Abstract

The embodiment of the invention discloses a visual training method, device and equipment for myopia prevention and control, and the method comprises the steps: generating and displaying a frame of raster image according to a current training parameter; wherein the light pixel emission wavelength of the raster image is low-intensity red light of a set wavelength; receiving an interactive input made by a user for visual perception of the raster image; judging whether the interactive input is correct or not; and updating the current training parameter according to the judgment result, and continuing to execute the step of generating and displaying a frame of grating image according to the current training parameter.

Description

TECHNICAL FIELD

[0001] Embodiments of the present disclosure relate to the technical field of myopia prevention and control, and more particularly, to a visual training method, device and equipment for myopia prevention and control. BACKGROUND

[0002] Myopia has become a widespread visual health problem, and its occurrence and development are closely related to the accommodation tension and visual fatigue caused by long-distance eye use, as well as the excessive growth of the eye axis. At present, the intervention means for myopia mainly includes functional training and organic intervention, but both have significant limitations in practical application.

[0003] In terms of functional training, visual stimulation based on gratings is a commonly used technology, however, such methods mainly focus on improving visual function and relieving fatigue symptoms, and lack direct intervention on the abnormal growth of the eye axis, which is the organic pathological basis of myopia development. In terms of organic intervention, low-intensity red light of specific wavelength is confirmed to be able to increase choroidal blood flow and thickness through photobiomodulation, thereby helping to inhibit the growth of the eye axis, but completely ignores the accommodation dysfunction problem caused by close eye use, and cannot relieve visual fatigue.

[0004] In summary, the existing technical solutions present a state of mutual separation between functional intervention and organic intervention, and the training based on gratings is difficult to inhibit the growth of the eye axis, while the low-intensity red light treatment cannot effectively train the accommodation function. Simply superimposing the two cannot solve the root problem, and there is an urgent need for an integrated intervention method that can intervene in both the functional causes and the organic changes of myopia. SUMMARY

[0005] The purpose of the embodiments of the present disclosure is to provide a new technical solution for visual training for myopia prevention and control.

[0006] According to a first aspect of the embodiments of the present disclosure, a visual training method for myopia prevention and control is provided, the method comprising: generating and displaying a frame of grating image according to current training parameters; wherein the bright part pixels of the grating image emit low-intensity red light of a set wavelength; receiving an interactive input made by a user on visual perception of the grating image; judging whether the interactive input is correct; updating the current training parameters according to the judgment result, and continuing to execute the step of generating and displaying a frame of grating image according to the current training parameters.

[0007] Optionally, the interactive input includes a judgment on the direction of grating stripes in the grating image, the judging whether the interactive input is correct comprises: identifying an actual fringe direction of the grating fringes in the grating image; comparing the grating fringe direction input by the user and the actual fringe direction to obtain a first comparison result; judging whether the interactive input is correct according to the first comparison result.

[0008] Optionally, the interactive input includes a tracking operation of the user on the grating image continuously moving in the display area, the judging whether the interactive input is correct includes: obtaining tracking position data generated by the user through an input device or a line-of-sight tracking module; comparing the tracking position data with a real-time display position of the grating image to obtain a second comparison result; judging whether the interactive input is correct according to the second comparison result.

[0009] Optionally, the grating image includes a first grating image with a fixed angle and a second grating image with an adjustable angle, and the interactive input includes a rotation operation of the user on the second grating image, the judging whether the interactive input is correct includes: obtaining a final static angle of the second grating image after the rotation operation of the user on the second grating image; calculating an angle difference between the final static angle and the fixed angle of the first grating image; judging whether the interactive input is correct according to the angle difference.

[0010] Optionally, the interactive input further includes a confirmation instruction triggered by the user when the grating fringe direction can be judged, and the grating image has an initial contrast ratio, and the contrast ratio of the grating image is gradually increased when the confirmation instruction is not received, the judging whether the interactive input is correct includes: in the case of receiving the confirmation instruction, recording a current contrast ratio of the grating image and a current actual fringe direction of the grating fringes; obtaining a grating fringe direction in the grating image input by the user along with the confirmation instruction; comparing the grating fringe direction input by the user and the current actual fringe direction to obtain a third comparison result; in the case that the third comparison result indicates that the grating fringe direction input by the user is consistent with the current actual fringe direction, determining that the interactive input is correct; wherein the current contrast ratio is set as a contrast sensitivity threshold of the user.

[0011] Optionally, the current training parameter comprises a spatial frequency of the grating image. The updating the current training parameter according to the judgment result comprises: acquiring a continuous number of times that the judgment result is correct or a continuous number of times that the judgment result is incorrect; adjusting the spatial frequency of the grating image according to the continuous number of times.

[0012] Optionally, the method further comprises: in a case where the judgment result is correct, performing flashing of the low-intensity red light of the set wavelength at least once.

[0013] Optionally, the method further comprises: acquiring a gaze point position of a user in real time; judging whether the gaze point position deviates from a display area of the grating image; in a case where the gaze point position deviates from the display area of the grating image, pausing a training process until the gaze point position is located in the display area.

[0014] According to a second aspect of the embodiments of the present disclosure, a visual training device for myopia prevention and control is provided, and the device comprises: a generating module configured to generate a frame of grating image according to a current training parameter; wherein a bright part pixel of the grating image emits low-intensity red light of a set wavelength; a display module configured to display the grating image; a receiving module configured to receive an interactive input made by a user on the basis of visual perception of the grating image; a judgment module configured to judge whether the interactive input is correct; an updating module configured to update the current training parameter according to the judgment result, and continue to execute the generation and display of a frame of grating image according to the current training parameter by the generating module.

[0015] According to a third aspect of the embodiments of the present disclosure, an electronic device is provided, comprising a memory configured to store executable computer instructions, and a processor configured to execute the method according to the first aspect above according to control of the executable computer instructions.

[0016] An embodiment of the present disclosure has the beneficial effect that it can integrate the grating visual stimulation for relieving visual fatigue and training adjustment function, and the low-intensity red light physiological intervention for inhibiting axial length growth into one technology, by taking the grating pattern itself as a carrier of low-intensity red light and designing interactive tasks thereon, so as to realize that a user completes physiological red light irradiation treatment with high compliance while performing functional visual training, thereby achieving the purpose of synergistic myopia prevention and control of function and physiology.

[0017] Other features of the present specification, and the advantages thereof over existing systems and methods will become more readily apparent from the following detailed description, when read in conjunction with the drawings. BRIEF DESCRIPTION OF DRAWINGS

[0018] The accompanying drawings incorporated in and forming a part of the specification illustrate embodiments of the present specification and, together with the description, serve to explain the principles of the present specification.

[0019] Figure 1 is a schematic diagram of a hardware configuration of an electronic device provided by an embodiment of the present disclosure; Figure 2 is a schematic diagram of a visual training method for myopia prevention and control provided by an embodiment of the present disclosure; Figure 3a is one of the schematic diagrams of a grating image provided by an embodiment of the present disclosure; Figure 3b is another of the schematic diagrams of a grating image provided by an embodiment of the present disclosure; Figure 3c is a third of the schematic diagrams of a grating image provided by an embodiment of the present disclosure; Figure 4 is a schematic diagram of a visual training method for myopia prevention and control provided by an embodiment of the present disclosure; Figure 5 is a block diagram of a visual training device for myopia prevention and control provided by an embodiment of the present disclosure; Figure 6 is a block diagram of an electronic device provided by an embodiment of the present disclosure. DETAILED DESCRIPTION

[0020] Various exemplary embodiments of the present disclosure will now be described in detail with reference to the accompanying drawings. If it is considered that the relative arrangement, numerical expressions, and numerical values of components and steps set forth in these embodiments limit the scope of the embodiments of the present disclosure, unless otherwise specifically stated, the scope of the embodiments of the present disclosure is not limited thereto.

[0021] The following description of at least one exemplary embodiment is merely exemplary in nature and is in no way intended to limit the present disclosure or its application or uses.

[0022] Techniques, methods, and devices known to those of ordinary skill in the relevant art can not be discussed in detail herein, but should be considered as part of the specification, where appropriate.

[0023] In all examples shown and discussed herein, any specific values should be interpreted as merely exemplary, and not as a limitation. Thus, other examples of the exemplary embodiments can have different values.

[0024] It should be noted that similar labels and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be discussed further in subsequent figures.

[0025] <Hardware Configuration> Figure 1 This is a block diagram of the hardware configuration of an electronic device 1000 according to an embodiment of the present disclosure.

[0026] Electronic device 1000 can be a head-mounted display device such as a virtual reality (VR) device or an augmented reality (AR) device. The enclosed environment of a VR device helps eliminate external visual interference, while an AR device allows users to train in everyday environments such as at home. Electronic device 1000 can also be a personal computer or tablet computer. Electronic device 1000 can also be a dedicated handheld training device, which may have an eyepiece structure for monocular or binocular observation, and its shape is convenient for handheld operation.

[0027] In one embodiment, such as Figure 1 As shown, the electronic device 1000 may include a processor 1100, a memory 1200, an interface device 1300, a communication device 1400, a display device 1500, an input device 1600, a speaker 1700, a microphone 1800, etc.

[0028] The processor 1100 may include, but is not limited to, a central processing unit (CPU) or a microprocessor (MCU). The memory 1200 includes, for example, ROM (Read-Only Memory), RAM (Random Access Memory), and non-volatile memory such as a hard disk. The interface device 1300 includes, for example, various bus interfaces, such as serial bus interfaces (including USB interfaces) and parallel bus interfaces. The communication device 1400 is capable of wired or wireless communication. The display device 1500 is, for example, a liquid crystal display (LCD), an LED display, or a touch screen. The input device 1600 includes, for example, a touchscreen, a keyboard, or a gamepad. The electronic device 1000 can output audio information via a speaker 1700 and acquire audio information via a microphone 1800.

[0029] Those skilled in the art should understand that, although in Figure 1 The present specification shows a number of devices of electronic device 1000. However, the electronic device 1000 of the embodiments of this specification may only involve some of the devices, or may also include other devices, which is not limited here.

[0030] In this embodiment, the memory 1200 of the electronic device 1000 is configured to store instructions for controlling the processor 1100 to operate to implement or support implementation of the visual training method for myopia prevention according to any embodiment. The skilled person can design the instructions according to the schemes disclosed in the present specification. How the instructions control the processor to operate is known in the art, and thus will not be described in detail herein.

[0031] In the above description, the skilled person can design the instructions according to the schemes provided in the present disclosure. How the instructions control the processor to operate is known in the art, and thus will not be described in detail herein.

[0032] Figure 1 The electronic device shown is merely illustrative and is by no means intended to limit the present disclosure, its application or use.

[0033] <Method Embodiment> Figure 2 A visual training method for myopia prevention according to one embodiment of the present disclosure is shown, which can be performed by an electronic device, which can be Figure 1 The electronic device 1000 shown. As Figure 2 The visual training method for myopia prevention of this embodiment can include the following steps S2100-S2300: Step S2100, generating and displaying a frame of raster image according to the current training parameters.

[0034] The raster image can be a visual stimulation pattern whose luminance periodically varies in space according to a sinusoidal function, the bright pixels of the raster image can emit low-intensity red light with a set wavelength, and the dark pixels of the raster image can be a background color or pixels that emit low-intensity red light with an intensity lower than that of the bright pixels.

[0035] The set wavelength can be in a set wavelength range, which can be 630-670 nm, for example, the center wavelength of the low-intensity red light can be 650 nm. The low-intensity red light described above can be red light whose irradiance on the user's eye is less than or equal to a safety threshold, which can be a value set in advance according to the human eye safety exemption level standard, for example, it can be 0.4 mW / cm². In the related art, low-intensity red light with a wavelength in the set wavelength range is believed to possibly increase the release of nitric oxide by stimulating the mitochondrial activity of retinal cells, increasing cell energy synthesis, and ultimately possibly leading to temporary thickening of the choroid, by causing choroid vascular dilation and increased blood flow. Changes in choroid thickness are believed in existing research to be related to physiological mechanisms that slow down the growth of the eye axis.

[0036] The current training parameter can include a spatial frequency of the raster image. By adjusting the spatial frequency, for example, starting from a low frequency (coarse stripes), gradually transitioning to a high frequency (fine stripes), raster images of different spatial frequencies can activate different ranges of neurons in the retina and visual cortex, forcing the ciliary muscle to adjust and relax to different degrees, thereby achieving the purpose of training accommodation flexibility and relieving visual fatigue. The generated raster image can include Figure 3a a sparse raster image with a spatial frequency of 5 as shown, Figure 3b a medium raster image with a spatial frequency of 15 as shown, Figure 3c a tight raster image with a spatial frequency of 30 as shown, Figure 3a Figure 3b and Figure 3c The raster stripes in the raster image as shown are red raster images.

[0037] The current training parameter can also include the direction of the raster stripes in the raster image. The direction of the raster stripes can include horizontal and vertical.

[0038] Exemplarily, based on the current spatial frequency "5" and the direction of the raster stripes "horizontal", a frame of raster image can be generated and displayed on the display area, i.e., the spatial frequency of the raster image is 5, and the direction of the raster stripes in the raster image is horizontal.

[0039] After performing the above step S2100 of generating and displaying a frame of raster image according to the current training parameter, proceed to: Step S2200, receiving an interactive input made by the user on the visual perception of the raster image.

[0040] The interactive input is an input operation made by the user on the visual perception of the displayed raster image. Specifically, it can be a feedback input actively generated by the user after observing, resolving, judging, and other visual perceptions of the displayed raster image. This feedback input directly corresponds to the visual attribute of the raster image.

[0041] ​In the embodiment, the current training parameter can further include a visual training task type. For example, the visual training task type can be a judgment of a direction of a fringe. In this case, the visual attribute of the grating image can be a direction of a fringe, and the actual direction of the fringe can be a "horizontal" direction. In order to correctly judge the direction of the fringe, the user must concentrate on the fringe and finely distinguish the fringe, for example, distinguish whether the fringe is horizontal or vertical. This process itself is a high-efficiency training of the accommodation function of the eyes, which can effectively relieve the accommodation spasm and eyestrain caused by long-time close work. At the same time, since the user must gaze at the grating image to make the judgment, the forced gazing behavior can ensure that the low-intensity red light emitted by the bright pixels of the grating image can continuously and accurately irradiate the fovea centralis of the user's retina, thereby solving the pain points that the user's gazing compliance is poor and the effective treatment dose cannot be guaranteed in the traditional low-intensity red light treatment.

[0042] As described above, the interactive input can include a judgment of the direction of the fringe in the grating image by the user. For example, the display area displays a frame of grating image with a spatial frequency of 5 and a horizontal direction of the fringe. The user can make the judgment by inputting the up and down arrows of the keyboard or clicking the "horizontal" / "vertical" button on the display area through the input module such as the mouse. In a specific implementation, for example, the user can click the "vertical" button on the display area through the mouse, which represents that the direction of the fringe input by the user is vertical. The user can also click the "horizontal" button on the display area through the mouse, which represents that the direction of the fringe input by the user is horizontal.

[0043] After the above step S2200 of receiving the interactive input of the visual perception of the grating image by the user is performed, the following step is entered: Step S2300, judging whether the interactive input is correct.

[0044] In the embodiment, whether the interactive input is correct can be judged, thereby providing a quantitative basis for subsequent adjustment of the training parameter, for example, adjustment of the spatial frequency.

[0045] In one example, as described above, the interactive input can include a judgment of the direction of the fringe in the grating image by the user. Correspondingly, whether the interactive input is correct in the step S2300 can further include: identifying the actual direction of the fringe in the grating image; comparing the direction of the fringe input by the user with the actual direction of the fringe to obtain a first comparison result; and judging whether the interactive input is correct according to the first comparison result.

[0046] The first comparison result can be that the direction of the fringe input by the user is consistent with the actual direction of the fringe, and the first comparison result can also be that the direction of the fringe input by the user is inconsistent with the actual direction of the fringe.

[0047] For example, if the user inputted grating fringe direction is vertical direction, but the actual grating fringe direction in the grating image is horizontal direction, it indicates that the user inputted grating fringe direction is inconsistent with the actual grating fringe direction, and at this time, it is judged that the interactive input is incorrect.

[0048] For example, if the user inputted grating fringe direction is horizontal direction, and the actual grating fringe direction in the grating image is horizontal direction, it indicates that the user inputted grating fringe direction is consistent with the actual grating fringe direction, and at this time, it is judged that the interactive input is correct.

[0049] After the above step S2300 of judging whether the interactive input is correct is executed, the following step is entered: Step S2400, updating the current training parameter according to the judgment result, and continuing to execute the step of generating and displaying a grating image according to the current training parameter.

[0050] In the embodiment, the current training parameter can be updated according to the judgment result, so as to realize the individualized and adaptive training closed loop.

[0051] In one example, as described above, the current training parameter can include the spatial frequency of the grating image, and in the case that the judgment result is correct, it indicates that the current difficulty can be lower than the upper limit of the user's ability, and at this time, the spatial frequency of the grating image can be increased. In the case that the judgment result is incorrect, it indicates that the current difficulty can exceed the user's current ability range, and at this time, the spatial frequency of the grating image can be reduced to provide more practice, so as to ensure that the training remains within the range that the user can complete.

[0052] Through the embodiments of the present disclosure, the visual accommodation function training for relieving visual fatigue and the red light physiological treatment for inhibiting the axial length growth are integrated by generating a low-intensity red light grating image, the synchronous and collaborative intervention on the myopia causes is realized, the boring passive fixation is changed into a task that must concentrate attention by designing the interactive input that needs active judgment, the effective fixation of the user during the treatment is fundamentally guaranteed, the effect of the red light treatment is ensured, the training difficulty can be adapted to the performance of the user by dynamically updating the parameter according to the judgment result and executing in a loop, the individualization and optimization of the training process are realized, and the visual function is continuously and efficiently improved and the treatment effect is consolidated.

[0053] In an embodiment, the interaction input can include a tracking operation of the user on the raster image continuously moving in the display area, and the determining whether the interaction input is correct in the step S2300 can further include: obtaining tracking position data generated by the input device or the gaze tracking module; comparing the tracking position data with the real-time display position of the raster image to obtain a second comparison result; and determining whether the interaction input is correct according to the second comparison result.

[0054] The second comparison result can be that the tracking position data is the same as the real-time display position of the raster image, or the second comparison result can be that the tracking position data is different from the real-time display position of the raster image.

[0055] In the embodiment, the visual training task type can be a movement tracking task, and the visual attribute of the raster image can be a display position of the raster image. Specifically, when the user uses a mouse, a touch screen or a gamepad for tracking, the system can sample the screen coordinates of the cursor or the control point at a fixed frequency as the tracking position data. When the system integrates an eye tracker, the coordinates of the fixation point of the user on the screen can be obtained in real time as the tracking position data. The distance between the tracking position data and the real-time display position of the raster image can be calculated. When the distance between the tracking position data and the real-time display position of the raster image is less than or equal to a distance threshold, it is determined that the tracking position data is the same as the real-time display position of the raster image, and the interaction input is correct. When the distance between the tracking position data and the real-time display position of the raster image is greater than the distance threshold, it is determined that the tracking position data is different from the real-time display position of the raster image, and the interaction input is incorrect.

[0056] Through the embodiment, the smooth pursuit movement function of the eyeball can be directly and specifically trained by requiring the user to accurately follow the continuously moving raster stimulus, the near-distance eye use mode can be effectively broken, and the visual fatigue can be relieved. In addition, the dynamic tracking task forces the fixation point of the user to continuously and stably lock the moving target, and the effectiveness and reliability of the physiological treatment are greatly improved.

[0057] In an embodiment, the raster image includes a first raster image with a fixed angle and a second raster image with an adjustable angle. That is, the generating and displaying a frame of raster image in the step S2100 can include generating and displaying the first raster image with the fixed angle and the second raster image with the adjustable angle.

[0058] The interaction input can include a rotation operation of the user on the second raster image, and the determining whether the interaction input is correct in the step S2300 can further include: obtaining a final static angle of the second raster image after the rotation operation of the user on the second raster image; calculating an angle difference between the final static angle and the fixed angle of the first raster image; and determining whether the interaction input is correct according to the angle difference.

[0059] wherein, in the case that the angle difference value is less than or equal to the angle threshold value, it is determined that the interactive input is correct, and in the case that the angle difference value is greater than the angle threshold value, it is determined that the interactive input is incorrect.

[0060] In the embodiment, the visual training task type described above can be a rotation task, and the visual attribute of the raster image described above can be the angle of the raster image. Specifically, the user can rotate the second raster image in real time through a mouse wheel, a touch screen slide, a handle rocker, or the like. When the system detects that the user stops inputting for more than a time threshold value (for example, 300 milliseconds), it is determined that the raster image enters a termination stationary state. At this time, the angle difference value between the termination stationary angle and the fixed angle of the first raster image can be calculated, and in the case that the angle difference value is less than or equal to the angle threshold value, it is determined that the interactive input is correct, and in the case that the angle difference value is greater than the angle threshold value, it is determined that the interactive input is incorrect.

[0061] Through the embodiment, in order to accurately determine whether the two gratings are parallel, the user needs to clearly focus and keep the eyes aligned on the two gratings at the same time, which is an efficient intervention method for abnormal visual function. And in the whole process of focusing, rotating, observing and matching, the user's line of sight is stable on the two grating stimuli, thereby ensuring high concentration and high compliance of low-intensity red light treatment.

[0062] In one embodiment, the visual training task type described above can be a contrast sensitivity training task, and the initial contrast of the raster image and the contrast increasing mode can be set in advance. The visual attribute of the raster image described above can be the contrast. That is, the raster image has an initial contrast, and the contrast of the raster image can be gradually increased when no confirmation instruction is received.

[0063] The interactive input described above can include a confirmation instruction triggered by the user when the direction of the grating stripes can be determined, and the determination of whether the interactive input is correct in step S2300 described above can further include: in the case that the confirmation instruction is received, recording the current contrast of the raster image and the current actual stripe direction of the grating stripes; obtaining the direction of the grating stripes in the raster image input by the user along with the confirmation instruction; comparing the direction of the grating stripes input by the user with the current actual stripe direction to obtain a third comparison result; in the case that the third comparison result indicates that the direction of the grating stripes input by the user is consistent with the current actual stripe direction, it is determined that the interactive input is correct; wherein the current contrast is set to the contrast sensitivity threshold value of the user.

[0064] The third comparison result can be that the direction of the grating stripes input by the user is consistent with the actual stripe direction, and the third comparison result can also be that the direction of the grating stripes input by the user is inconsistent with the actual stripe direction.

[0065] Wherein, the contrast sensitivity threshold can be the minimum contrast required for the human eye to distinguish the grating fringes, and the lower the contrast sensitivity threshold, the stronger the ability of the user's vision to distinguish details in a low-contrast environment.

[0066] In this embodiment, in the case of receiving the user's confirmation instruction, the system immediately records the contrast presented by the grating image at this time, records the actual fringe direction of the grating fringes at this time, and obtains the grating fringe direction input by the user when inputting the confirmation instruction. In the case where the grating fringe direction input by the user is consistent with the actual fringe direction, it is indicated that the interactive input is correct, and the current contrast is recorded as the contrast sensitivity threshold of the user.

[0067] Through this embodiment, not only is the visual training and red light treatment performed, but also the key visual function index of the contrast sensitivity threshold is measured synchronously and objectively, so that each training becomes a function assessment.

[0068] In one embodiment, the current training parameter can include the spatial frequency of the grating image, and the step S2300 of updating the current training parameter according to the judgment result can further include: obtaining a continuous number of times of correct judgment or a continuous number of times of incorrect judgment; and adjusting the spatial frequency of the grating image according to the continuous number of times.

[0069] Wherein, the continuous number of times can be the number of times of continuously making correct judgments or continuously making incorrect judgments by the user in uninterrupted training. Since a single judgment can be affected by accidental factors (such as guessing and mistakes), the continuous behavior can more stably reflect the real ability state of the user. Continuous correctness indicates that the user has mastered the current difficulty, and continuous error strongly indicates that the current difficulty exceeds the current ability.

[0070] In this embodiment, in the case where the number of times of continuously correct judgment reaches or exceeds the up-regulation threshold, it is determined that the current spatial frequency is too low to constitute effective training, and the spatial frequency is immediately increased by a preset step, so that the grating fringes become finer and denser, thereby improving the requirement for the precision of the visual adjustment system.

[0071] When the number of times of continuously incorrect judgment reaches the down-regulation threshold, it is determined that the current spatial frequency is too high, which can cause the user to produce invalid training due to too difficult task, and the spatial frequency is immediately reduced by a preset step, so that the grating fringes become coarser and sparser, so as to adjust the task difficulty to the range that the user can successfully complete, so as to maintain the training confidence and participation of the user.

[0072] Through this embodiment, the best difficulty can be automatically matched for users of different visual acuity levels and different ages.

[0073] In one embodiment, the visual training method for myopia prevention and control of the present disclosure further comprises: in the case of a correct judgment result, flashing low-intensity red light of a set wavelength at least once.

[0074] In the present embodiment, the operant conditioning principle can be used to positively motivate the user to maintain attention and actively participate in the training, thereby improving compliance. When the user makes a correct judgment behavior, positive stimulation such as red light flashing can be obtained, which is equivalent to an instant reward for the user's correct gaze and discrimination behavior, which can effectively strengthen the behavior and thus improve the user's willingness to maintain focus and actively participate in subsequent training. Of course, the positive stimulation can also be positive audio such as a "ding" sound, an increase in score, or a game-like visual reward such as obtaining a gold coin.

[0075] In one embodiment, the visual training method for myopia prevention and control of the present disclosure further comprises: acquiring the gaze point position of the user in real time; determining whether the gaze point position deviates from the display area of the grating image; and in the case where the gaze point position deviates from the display area of the grating image, pausing the training process until the gaze point position is located in the display area.

[0076] In the present embodiment, the gaze point position of the user can be monitored in real time by an eye tracker. If the gaze point position deviates from the display area of the grating image, the generation of new grating images is stopped at this time, the therapeutic red light stimulation on the current screen is immediately interrupted, the cumulative effective training timer is paused, and the current training parameters are frozen. Only when the gaze point position is located in the display area, the stimulation display will be automatically restored and the cumulative timer will continue from the pause point.

[0077] <Example> Next, a visual training method for myopia prevention and control is shown in an example, in which, with reference to Figure 4 The visual training method for myopia prevention and control can comprise the following steps: Step S410, the system automatically loads the last training parameters (training duration: 10 minutes, red light wavelength: 650 nm, initial spatial frequency: low frequency, visual training task type is "direction judgment", and the actual grating direction is vertical direction).

[0078] Step S420, the system detects whether the set number of training times is reached. If yes, the training is ended and the training data of the present time is saved, otherwise, step S430 is performed.

[0079] Step S430, the system generates a grating image in a vertical direction according to the currently set spatial frequency, and displays the grating image in the display area.

[0080] Step S440, the system receives the grating stripe direction input by the user in the grating image.

[0081] Step S450, the system determines whether the user input grating stripe direction is correct, if yes, step S460 is executed, otherwise, step S470 is executed.

[0082] Step S460, the system flashes a short red light in the center of the screen, and plays a "ding-dong" sound effect, the score in the upper right corner of the screen is +10, and the spatial frequency is increased. At the same time, the system also records the reaction time and the judgment result as correct, and continues to execute the above step S420.

[0083] Step S470, the system triggers the correction feedback, and reduces the spatial frequency. At the same time, the system also records the reaction time and the judgment result as incorrect, and continues to execute the above step S420.

[0084] <Device Embodiment> Figure 5 It is a principle schematic diagram of a visual training method for myopia prevention and control according to an embodiment, referring to Figure 5 As shown in the figure, the visual training device 500 for myopia prevention and control can include a generation module 510, a display module 520, a receiving module 530, a judgment module 540 and an update module 550.

[0085] The generation module 510 is used to generate a frame of grating image according to the current training parameter; wherein the bright part pixels of the grating image emit low-intensity red light of a set wavelength; The display module 520 is used to display the grating image; The receiving module 530 is used to receive the interactive input made by the user on the visual perception of the grating image; The judgment module 540 is used to judge whether the interactive input is correct; The update module 550 is used to update the current training parameter according to the judgment result, and continue to execute the generation and display of a frame of grating image according to the current training parameter by the generation module.

[0086] In one embodiment, the interactive input includes the judgment of the grating stripe direction in the grating image.

[0087] The judgment module 540 is specifically used to identify the actual stripe direction of the grating stripe in the grating image; compare the grating stripe direction input by the user with the actual stripe direction to obtain a first comparison result; and judge whether the interactive input is correct according to the first comparison result.

[0088] In one embodiment, the interactive input includes the tracking operation of the user on the grating image continuously moving in the display area.

[0089] The judging module 540 is specifically configured to acquire tracking position data generated by a user through an input device or a line-of-sight tracking module; compare the tracking position data with a real-time display position of the grating image to obtain a second comparison result; and judge whether the interactive input is correct according to the second comparison result.

[0090] In one embodiment, the grating image includes a first grating image with a fixed angle and a second grating image with an adjustable angle, and the interactive input includes a rotation operation of the second grating image by the user.

[0091] The judging module 540 is specifically configured to acquire a final static angle of the second grating image after the rotation operation of the second grating image by the user; calculate an angle difference between the final static angle and the fixed angle of the first grating image; and judge whether the interactive input is correct according to the angle difference.

[0092] In one embodiment, the interactive input includes a confirmation instruction triggered by the user when the direction of the grating fringes can be judged, and the grating image has an initial contrast, and the contrast of the grating image is gradually increased when the confirmation instruction is not received.

[0093] The judging module 540 is specifically configured to, in the case that the confirmation instruction is received, record a current contrast of the grating image and a current actual fringe direction of the grating fringes; acquire a grating fringe direction in the grating image input by the user along with the confirmation instruction; compare the grating fringe direction input by the user with the current actual fringe direction to obtain a third comparison result; and determine that the interactive input is correct in the case that the third comparison result indicates that the grating fringe direction input by the user is consistent with the current actual fringe direction; wherein the current contrast is set as a contrast sensitivity threshold of the user.

[0094] In one embodiment, the current training parameter includes a spatial frequency of the grating image.

[0095] The updating module 550 is specifically configured to acquire a continuous number of times of correct judgment results or a continuous number of times of incorrect judgment results; and adjust the spatial frequency of the grating image according to the continuous number of times.

[0096] In one embodiment, the device 500 further includes a first control module (not shown in the figure).

[0097] The control module is configured to, in the case that the judgment result is correct, perform flashing of low-intensity red light at least once at a wavelength set in the predetermined wavelength range.

[0098] In one embodiment, the device 500 further includes a second control module and an acquisition module (neither of which is shown in the figure). an acquisition module configured to acquire a gaze point position of a user in real time; The determination module 530 is further configured to determine whether the gaze point position deviates from a display area of the grating image. The second control module is configured to pause the training process until the gaze point position is located in the display area, in a case where the gaze point position deviates from the display area of the grating image.

[0099] According to the embodiments of the present disclosure, the visual adjustment function training for relieving visual fatigue and the red light physiological treatment for inhibiting axial length growth are integrated by generating a low-intensity red light grating image, synchronous and collaborative intervention on the causes of myopia is achieved, the boring passive gaze is changed into a task that must concentrate attention by designing interactive input that needs active judgment, the effective gaze of the user during the treatment is fundamentally guaranteed, the effect of the red light treatment is ensured, the training difficulty can be adapted to the performance of the user by dynamically updating the parameters according to the judgment result and performing the training in a loop, the personalization and optimization of the training process are achieved, and the visual function is continuously and efficiently improved and the treatment effect is consolidated. <Device Embodiment> Figure 6 is a schematic diagram of a hardware structure of an electronic device according to an embodiment. As shown in Figure 5 , the electronic device 1000 includes a processor 1100 and a memory 1200.

[0100] The memory 1200 can be used to store executable computer instructions.

[0101] The processor 1100 can be used to control the execution of the visual training method for myopia prevention and control in the dual system according to the embodiments of the method of the present disclosure according to the executable computer instructions.

[0102] The electronic device 1000 can be an electronic device 1000 as shown in Figure 1 , or can be a device with other hardware structures, which is not limited herein.

[0103] In another embodiment, the electronic device 1000 can include the above visual training device 500 for myopia prevention and control. In one embodiment, each module of the above visual training device 500 for myopia prevention and control can be realized by running the computer instructions stored in the memory 1200 by the processor 1100.

[0104] <Computer-readable storage medium> The embodiments of the present disclosure also provide a computer-readable storage medium having computer instructions stored thereon, wherein the computer instructions are run by a processor to execute the visual training method for myopia prevention and control provided by the embodiments of the present disclosure.

[0105] The present disclosure can be a system, a method, and / or a computer program product. The computer program product can include a computer readable storage medium (or media) having computer readable program instructions thereon for causing a processor to carry out aspects of the present disclosure.

[0106] The computer readable storage medium can be a tangible device that can retain and store instructions for use by an instruction execution device. The computer readable storage medium can be, for example, but is not limited to, an electronic storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. A non-exhaustive list of more specific examples of the computer readable storage medium includes the following: a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), a static random access memory (SRAM), a portable compact disc read-only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, a mechanically encoded device such as punch-cards or raised structures in a groove having instructions recorded thereon, and any suitable combination of the foregoing. A computer readable storage medium, as used herein, is not to be construed as being transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through a waveguide or other transmission media (e.g., light pulses passing through a fiber-optic cable), or electrical signals transmitted through a wire.

[0107] Computer readable program instructions described herein can be downloaded to respective computing / processing devices from a computer readable storage medium or to an external computer or external storage device via a network, for example, the Internet, a local area network, a wide area network and / or a wireless network. The network can comprise copper transmission cables, optical transmission fibers, wireless transmission, routers, firewalls, switches, gateway computers and / or edge servers. A network adapter card or network interface in each computing / processing device receives computer readable program instructions from the network and forwards the computer readable program instructions for storage in a computer readable storage medium within the respective computing / processing device.

[0108] Computer readable program instructions for carrying out operations of the present disclosure can be assembler instructions, instruction-set-architecture (ISA) instructions, machine instructions, machine dependent instructions, microcode, firmware instructions, state-setting data, or either source code or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, C++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer readable program instructions can execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or the connection can be made to an external computer (for example, through the Internet using an Internet Service Provider). In some embodiments, electronic circuitry including, for example, programmable logic circuitry, field-programmable gate array (FPGA), or programmable logic array (PLA) can execute the computer readable program instructions by utilizing state information of the computer readable program instructions to personalize the electronic circuitry, in order to perform aspects of the present disclosure.

[0109] The computer readable program instructions can also be loaded onto a computer, other programmable data processing apparatus, or other device to cause a series of operational steps to be performed on the computer, other programmable apparatus or other device to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide processes for implementing the functions / acts specified in the flowchart and / or block diagram block or blocks.

[0110] These computer readable program instructions can be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions / acts specified in the flowchart and / or block diagram block or blocks. These computer readable program instructions can also be stored in a computer readable storage medium that can include random access memory (RAM), read only memory (ROM), electrically erasable programmable read only memory (EEPROM), flash memory or other data storage device. When the computer readable program instructions are loaded into the computer and other programmable data processing apparatus, a series of operational steps are implemented that provide processes such that the computer or other programmable apparatus provide processes for implementing the functions / acts specified in the flowchart and / or block diagram block or blocks.

[0111] The computer readable program instructions can also be loaded onto a computer, other programmable data processing apparatus, or other device to cause a series of operational steps to be performed on the computer, other programmable data processing apparatus or other device to produce a computer implemented process such that the instructions which execute on the computer, other programmable data processing apparatus, or other device implement the functions / acts specified in the flowchart and / or block diagram block or blocks.

[0112] The computer readable program instructions can also be loaded onto a computer, other programmable data processing apparatus, or other device to cause a series of operational steps to be performed on the computer, other programmable data processing apparatus or other device to produce a computer implemented process such that the instructions which execute on the computer, other programmable data processing apparatus, or other device implement the functions / acts specified in the flowchart and / or block diagram block or blocks.

[0113] Embodiments of the present disclosure have been described above, and the description is intended to be illustrative, and not restrictive, of the disclosed embodiments. Many modifications and variations of the disclosed embodiments are possible in light of the above teachings. It is thus to be understood that changes can be made by those skilled in the art, with the intent to apply principles of the disclosure, within the scope of the disclosure. The scope of the disclosure is defined by the appended claims.

Claims

1. A vision training method for myopia prevention and control, the method comprising: Based on the current training parameters, a raster image is generated and displayed; wherein the bright pixels of the raster image emit low-intensity red light with a set wavelength. Receive interactive input from the user regarding their visual perception of the raster image; Determine whether the interactive input is correct; Update the current training parameters based on the judgment result, and continue to execute the step of generating and displaying a raster image based on the current training parameters.

2. The method according to claim 1, wherein, The interactive input includes determining the direction of the grating fringes in the grating image. The step of determining whether the interactive input is correct includes: Identify the actual stripe direction of the grating stripes in the grating image; The grating stripe direction input by the user is compared with the actual stripe direction to obtain a first comparison result; Based on the first comparison result, determine whether the interactive input is correct.

3. The method according to claim 1, wherein, The interactive input includes user tracking operations on the raster image that moves continuously within the display area. The step of determining whether the interactive input is correct includes: Acquire tracking position data generated by the user through an input device or eye-tracking module; The tracking position data is compared with the real-time display position of the raster image to obtain a second comparison result; Based on the second comparison result, determine whether the interactive input is correct.

4. The method according to claim 1, wherein, The raster image includes a first raster image with a fixed angle and a second raster image with an adjustable angle. The interactive input includes a user rotation operation on the second raster image. The step of determining whether the interactive input is correct includes: Obtain the final static angle of the second raster image after the user performs a rotation operation on the second raster image; Calculate the angle difference between the termination stationary angle and the fixed angle of the first raster image; Based on the angle difference, determine whether the interactive input is correct.

5. The method according to claim 2, wherein, The interactive input includes a confirmation command triggered by the user when they can determine the direction of the raster stripes. Furthermore, the raster image has an initial contrast, and its contrast gradually increases if the confirmation command is not received. The step of determining whether the interactive input is correct includes: Upon receiving the confirmation command, record the current contrast of the raster image and the current actual fringe direction of the raster stripes; Obtain the direction of the raster stripes in the raster image input by the user in accordance with the confirmation command; The grating stripe direction input by the user is compared with the current actual stripe direction to obtain a third comparison result; If the third comparison result indicates that the direction of the grating stripes input by the user is consistent with the current actual stripe direction, the interactive input is determined to be correct; wherein, the current contrast is set to the user's contrast sensitivity threshold.

6. The method according to claim 1, wherein, The current training parameters include the spatial frequency of the raster image. Updating the current training parameters based on the judgment result includes: Obtain the number of consecutive correct or incorrect results of the judgment; The spatial frequency of the raster image is adjusted based on the number of consecutive iterations.

7. The method according to claim 1, wherein, The method further includes: If the judgment result is correct, perform at least one flash of low-intensity red light at the set wavelength.

8. The method according to claim 1, wherein, The method further includes: Real-time acquisition of the user's gaze point position; Determine whether the position of the gaze point deviates from the display area of ​​the raster image; If the gaze point position deviates from the display area of ​​the raster image, the training process is paused until the gaze point position is within the display area.

9. A vision training device for myopia prevention and control, the device comprising: The generation module is used to generate a raster image based on the current training parameters; wherein the bright pixels of the raster image emit low-intensity red light with a set wavelength. Display module, used to display the raster image; A receiving module is used to receive interactive input from the user's visual perception of the raster image; The judgment module is used to determine whether the interactive input is correct; The update module is used to update the current training parameters according to the judgment result, and the generation module continues to perform the process of generating and displaying a raster image based on the current training parameters.

10. An electronic device, wherein, include: Memory is used to store executable computer instructions; A processor configured to perform the method according to any one of claims 1-8, under the control of the executable computer instructions.

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