CN112569093A - Vision improvement training method - Google Patents
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- CN112569093A CN112569093A CN202011538528.6A CN202011538528A CN112569093A CN 112569093 A CN112569093 A CN 112569093A CN 202011538528 A CN202011538528 A CN 202011538528A CN 112569093 A CN112569093 A CN 112569093A
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- 230000004438 eyesight Effects 0.000 title claims abstract description 102
- 238000012549 training Methods 0.000 title claims abstract description 94
- 238000000034 method Methods 0.000 title claims abstract description 26
- 230000006872 improvement Effects 0.000 title claims abstract description 11
- 238000002645 vision therapy Methods 0.000 claims abstract description 70
- 210000003205 muscle Anatomy 0.000 claims abstract description 25
- 230000000007 visual effect Effects 0.000 claims abstract description 22
- 230000001886 ciliary effect Effects 0.000 claims abstract description 10
- 230000035945 sensitivity Effects 0.000 claims abstract description 7
- 238000012360 testing method Methods 0.000 claims description 45
- 238000002372 labelling Methods 0.000 claims description 17
- 230000004927 fusion Effects 0.000 claims description 10
- 230000004379 myopia Effects 0.000 claims description 10
- 208000001491 myopia Diseases 0.000 claims description 10
- 238000012545 processing Methods 0.000 claims description 9
- 238000011156 evaluation Methods 0.000 claims description 6
- 201000009487 Amblyopia Diseases 0.000 claims description 4
- 230000004382 visual function Effects 0.000 claims description 4
- 206010020675 Hypermetropia Diseases 0.000 claims description 3
- 201000009310 astigmatism Diseases 0.000 claims description 3
- 238000006243 chemical reaction Methods 0.000 claims description 3
- 239000006185 dispersion Substances 0.000 claims description 3
- 230000004305 hyperopia Effects 0.000 claims description 3
- 201000006318 hyperopia Diseases 0.000 claims description 3
- 238000010835 comparative analysis Methods 0.000 claims description 2
- 230000000694 effects Effects 0.000 abstract description 5
- 239000011521 glass Substances 0.000 abstract description 2
- 230000006870 function Effects 0.000 description 15
- 230000002265 prevention Effects 0.000 description 2
- 206010013142 Disinhibition Diseases 0.000 description 1
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- 230000009286 beneficial effect Effects 0.000 description 1
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- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 1
- 230000036541 health Effects 0.000 description 1
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- 230000004436 pseudomyopia Effects 0.000 description 1
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- 230000000630 rising effect Effects 0.000 description 1
- 230000004434 saccadic eye movement Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000001960 triggered effect Effects 0.000 description 1
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- A—HUMAN NECESSITIES
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- A61H—PHYSICAL THERAPY APPARATUS, e.g. DEVICES FOR LOCATING OR STIMULATING REFLEX POINTS IN THE BODY; ARTIFICIAL RESPIRATION; MASSAGE; BATHING DEVICES FOR SPECIAL THERAPEUTIC OR HYGIENIC PURPOSES OR SPECIFIC PARTS OF THE BODY
- A61H5/00—Exercisers for the eyes
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61H—PHYSICAL THERAPY APPARATUS, e.g. DEVICES FOR LOCATING OR STIMULATING REFLEX POINTS IN THE BODY; ARTIFICIAL RESPIRATION; MASSAGE; BATHING DEVICES FOR SPECIAL THERAPEUTIC OR HYGIENIC PURPOSES OR SPECIFIC PARTS OF THE BODY
- A61H5/00—Exercisers for the eyes
- A61H5/005—Exercisers for training the stereoscopic view
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61H—PHYSICAL THERAPY APPARATUS, e.g. DEVICES FOR LOCATING OR STIMULATING REFLEX POINTS IN THE BODY; ARTIFICIAL RESPIRATION; MASSAGE; BATHING DEVICES FOR SPECIAL THERAPEUTIC OR HYGIENIC PURPOSES OR SPECIFIC PARTS OF THE BODY
- A61H2205/00—Devices for specific parts of the body
- A61H2205/02—Head
- A61H2205/022—Face
- A61H2205/024—Eyes
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Abstract
The invention discloses a vision improvement training method, which comprises the steps of collecting human eye information; selecting a predefined vision training type based on the human eye information; quantitatively evaluating the vision state according to the vision influence indexes under different types of vision training; and performing vision training on the current vision state to obtain a vision training result. On the premise of changing the vision condition without the help of glasses, ciliary muscles can be trained by combining the vision condition of a user, visual cells can be stimulated or awakened, eye muscles are trained, and the visual sensitivity is improved, so that the effect of training the vision is achieved.
Description
Technical Field
The invention relates to the technical field of vision training, in particular to a vision improvement training method.
Background
In recent years, the myopia rate of children and teenagers in China is rising year by year, and the myopia rate of children and teenagers tends to be low in age and degree, so that the myopia rate of children and teenagers becomes a serious social problem and a crisis problem, and the myopia rate of children and teenagers cannot be solved only by means of traditional prevention and control means such as eye love education, eye exercises and physical activities.
Therefore, if the vision training is valued by people and is curriculum-based, the myopia prevention and control target can be realized more effectively. Visual training is also a sport training, but the training method, equipment and form have uniqueness in addition to different requirements on preparation activities. The types and main contents of the training methods are seen as follows: neither classification by traditional sports nor training using traditional sports equipment facilities. Therefore, it is necessary to explore a new mode of visual training and provide theoretical guidance for visual training.
Disclosure of Invention
Aiming at solving the problems in the prior art, the invention provides a vision improvement training method.
In order to achieve the purpose, the technical scheme of the invention is as follows:
a vision improvement training method, the method comprising:
collecting human eye information;
selecting a predefined vision training type based on the human eye information;
quantitatively evaluating the vision state according to the vision influence indexes under different types of vision training;
and performing vision training on the current vision state to obtain a vision training result.
Preferably, the predefined vision training types include:
for the eye vision situation, the vision training is divided into: myopia training, hyperopia training, astigmatism training, and amblyopia training;
according to the three-level visual function condition, the visual training is divided into: performing synoptic function training, fusion and dispersion function training and stereoscopic vision function training;
according to different eye muscles, the vision training is divided into: ciliary muscle training, upper and lower rectus muscle training, internal and external rectus muscle training, and upper and lower oblique muscle training.
Preferably, the establishing of the vision influence indexes under different types of vision training comprises:
and acquiring disturbance factors under different types of vision training, and defining the vision influence indexes of the multiple types of vision training according to the influence degree of each disturbance factor on the vision state.
Further, determining a vision acuity impact index for the multi-type vision training by:
in the formula, betakVisual acuity parameter, δ, representing the kth perturbation factorlVisual state effects representing the l-th perturbation factorDegree of the disease.
Preferably, the quantitatively evaluating the vision status includes:
defining original labeling information based on vision influence indexes under different types of vision training;
acquiring an image data source carrying original labeling information;
inputting the image data source into a vision testing system to be tested, and executing vision state testing; comparing and analyzing the test result of the vision test system and the original labeling information in the image data source to obtain a vision state evaluation result output by the vision test system;
and the vision state test result is output by the vision test system after image recognition processing is carried out on the test result and the image data source.
Further, the original labeling information is labeling information including a target and a target attribute thereof;
the targets include one or more of: the light wave sensitivity, definition and color identification conditions of different light waves are met;
the target attributes include one or more of: ciliary muscle, vision fusion, and stereoscopic vision conditions.
Further, the step of comparing and analyzing comprises:
carrying out standardized conversion on the test result according to the form corresponding to the original marking information to obtain a standardized test result;
comparing the normalized test result with the original labeling information;
and quantitatively counting the comparison result to obtain a quantitative vision state evaluation result output by the image test system.
Further, the quantitatively statistical comparison result includes one or more of:
target identification output capability, overall target identification accuracy, identification accuracy of different targets, and variation values of different target attributes.
Preferably, the performing vision training on the current vision state includes:
respectively displaying the test images to the eyes of the user, and determining the training parameters of the eyes of the user according to the vision state of the user;
respectively showing training images to eyes with different training parameters, wherein the training images comprise a first vision training image and a second vision training image, the first vision training image and the second vision training image comprise at least one training element, and signals of the first vision training image and the second vision training image are different in height;
wherein the training elements include, but are not limited to, color, brightness, saturation, contrast, and sharpness.
The invention has the beneficial effects that:
the vision improvement training method provided by the invention can adjust or improve the vision by combining the vision condition of the user on the premise of not changing the vision condition by glasses, and improve the flexibility of the vision training mode. Has excellent influence on the curative effect of myopia treatment and the improvement of visual function, and provides basis for the treatment of clinical myopia.
The specific test result of the vision state of the user and the light wave sensitivity, definition and color recognition conditions of different light waves in the image data under corresponding vision training are obtained; and comparing the standard values of the ciliary muscle, the vision fusion and the stereoscopic vision conditions to obtain final training parameters, respectively displaying training images to eyes with different training parameters, and performing vision training according to the current vision state.
Training elements such as blurring and clearness of the training images, contrast and the like are continuously changed or the display flicker frequency of the training images is controlled by displaying the training images with different training parameters for both eyes so as to adjust the state of ciliary muscles, stimulate or awaken visual cells, train eye muscles and improve visual sensitivity; and the method can provide various visual training ways for the user, has high flexibility and is convenient for the user to use.
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In order to more clearly illustrate the detailed description of the invention or the technical solutions in the prior art, the drawings that are needed in the detailed description of the invention or the prior art will be briefly described below. Throughout the drawings, like elements or portions are generally identified by like reference numerals. In the drawings, elements or portions are not necessarily drawn to scale.
Fig. 1 is a flow chart of a vision improvement training method provided by the invention.
Detailed Description
Embodiments of the present invention will be described in detail below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and therefore are only examples, and the protection scope of the present invention is not limited thereby.
It is to be noted that, unless otherwise specified, technical or scientific terms used herein shall have the ordinary meaning as understood by those skilled in the art to which the invention pertains.
In a specific embodiment of the present invention, a method for training eyesight improvement is provided, as shown in fig. 1, the method includes the following steps:
s101, collecting human eye information;
s102, selecting a predefined vision training type based on the human eye information;
s103, quantitatively evaluating the vision state according to the vision influence indexes under different types of vision training;
s104, performing vision training on the current vision state to obtain a vision training result.
In step S101, the acquired eye information is the basic vision condition of the user, including vision condition, health condition of anterior segment and fundus, eye organic degeneration, etc., so as to select the corresponding training type for targeted recovery in the following.
In step S102, the predefined vision training types specifically include:
for the eye vision situation, the vision training is divided into: myopia training, hyperopia training, astigmatism training, and amblyopia training;
according to the three-level visual function condition, the visual training is divided into: performing synoptic function training, fusion and dispersion function training and stereoscopic vision function training;
according to different eye muscles, the vision training is divided into: ciliary muscle training, upper and lower rectus muscle training, internal and external rectus muscle training, and upper and lower oblique muscle training.
In practical application, different types of training methods are selected and applied according to the function condition. Common visual training methods include disinhibition training (common binocular vision handicapped), accommodation function training (common pseudomyopia), set function training (binocular set function handicapped), fusion function training (binocular fusion function handicapped), red light flicker training (common amblyopia), and the like.
In step S103, establishing the eyesight influence indexes under different types of eyesight training includes:
and acquiring disturbance factors under different types of vision training, and defining the vision influence indexes of the multiple types of vision training according to the influence degree of each disturbance factor on the vision state.
Determining a vision impact index for a plurality of types of vision training by:
in the formula, betakVisual acuity parameter, δ, representing the kth perturbation factorlIndicating the degree of influence of the visual state of the l-th disturbing factor.
The disturbance factors comprise conditions of occult inclination, binocular disparity, saccade, worth4 points, rotational occult inclination, visual memory, adjusting function, motion visual field, following, fixation parallax, fusion amplitude and the like. These factors all affect the quality of vision.
In step S103, the quantitatively evaluating the vision state includes:
defining original labeling information based on vision influence indexes under different types of vision training;
acquiring an image data source carrying original labeling information;
inputting the image data source into a vision testing system to be tested, and executing vision state testing; and comparing and analyzing the test result of the vision test system and the original labeling information in the image data source to obtain a vision state evaluation result output by the vision test system.
The vision test system comprises an eye shield type shell, wherein a visual barrel is arranged on the contact side of the eye shield type shell and the eyes, an infrared camera device and a display screen are arranged inside the visual barrel, and images seen by human eyes can be obtained and displayed. The device also comprises a power module and a processing unit for supplying power to the whole device; wherein the processing unit is connected with the memory and the wireless communication unit; the processing unit comprises a microcontroller, an eye recognition chip, an image processor and an input assembly, wherein the eye recognition chip, the image processor and the input assembly are electrically connected with the microcontroller; the microcontroller, the eye recognition chip and the image processor are all connected with the memory through the input/output port.
And the microprocessor is used as a main Controller (CPU) and is electrically connected with the power supply module and used for controlling the work of the eye recognition chip and the image processor.
The visual cylinder is connected with the camera and used for picking up image signals, and the output end of the visual cylinder is electrically connected with the image input port of the image processor so as to input the captured image source signals collected by the camera into the image processor and convert the captured image source signals into digital signals for processing.
When the device works, the device is started up through a key, the microprocessor works, the liquid crystal display screen displays to prompt a user to select functions (for example, through a function selection key on the shell); one specific application scenario given by the present invention is as follows:
when a user needs to perform vision test, the microprocessor is triggered through the key, the microprocessor selectively drives the identification chip, the vision condition that the human eyes see the target image is collected and transmitted to the image identification processor for processing, and the image identification processor collects the database (namely, the database is transmitted with the data of the memory) for calculation processing so as to compare and output the test result.
The test result of the vision test system is an image generated by measuring related information consistent with the content of the original labeling information;
and the vision state test result is an output result of the vision test system after image recognition processing is carried out on the test result and the image data source.
The original labeling information is labeling information comprising a target and target attributes thereof;
the targets include one or more of: the method comprises the following steps of identifying the light wave sensitivity, definition and color of different light waves and corresponding preset threshold values;
the target attributes include one or more of: ciliary muscle, vision fusion and stereoscopic vision conditions and corresponding preset thresholds.
Wherein, the comparative analysis step comprises:
carrying out standardized conversion on the test result according to the form corresponding to the original marking information to obtain a standardized test result;
comparing the normalized test result with the original labeling information;
and quantitatively counting the comparison result to obtain a quantitative vision state evaluation result output by the image test system.
The quantitatively statistical comparison results include one or more of:
target identification output capability, overall target identification accuracy, identification accuracy of different targets, and variation values of different target attributes.
In step S104, performing vision training on the current vision state includes:
respectively displaying the test images to the eyes of the user, and determining the training parameters of the eyes of the user according to the vision state of the user;
respectively showing training images to eyes with different training parameters, wherein the training images comprise a first vision training image and a second vision training image, the first vision training image and the second vision training image comprise at least one training element, and signals of the first vision training image and the second vision training image are different in height; for example, if the training parameters for the left eye are lower than for the right eye, it indicates that the left eye is better than the right eye; if the first vision training image has a higher image signal than the second vision training image, it is necessary to display the first vision training image to the right eye and the second vision training image to the left eye.
Wherein the training elements include, but are not limited to, color, brightness, saturation, contrast, and sharpness.
The left eye and the right eye with inconsistent training parameters continuously change the color, the brightness, the saturation, the contrast and the definition in a mode of displaying the vision training images so as to adjust the state of ciliary muscles, control the training elements of the images, stimulate or awaken visual cells, train eye muscles and improve the visual sensitivity. Thereby achieving the effect of training eyesight.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the present invention, and they should be construed as being included in the following claims and description.
Claims (9)
1. A vision improvement training method, comprising:
collecting human eye information;
selecting a predefined vision training type based on the human eye information;
quantitatively evaluating the vision state according to the vision influence indexes under different types of vision training;
and performing vision training on the current vision state to obtain a vision training result.
2. The method of claim 1, wherein the pre-defining of the vision training type comprises:
for the eye vision situation, the vision training is divided into: myopia training, hyperopia training, astigmatism training, and amblyopia training;
according to the three-level visual function condition, the visual training is divided into: performing synoptic function training, fusion and dispersion function training and stereoscopic vision function training;
according to different eye muscles, the vision training is divided into: ciliary muscle training, upper and lower rectus muscle training, internal and external rectus muscle training, and upper and lower oblique muscle training.
3. The method of claim 1, wherein establishing the vision acuity performance index under different types of vision training comprises:
and acquiring disturbance factors under different types of vision training, and defining the vision influence indexes of the multiple types of vision training according to the influence degree of each disturbance factor on the vision state.
4. The method of claim 3, wherein the vision acuity performance indicator for the plurality of types of vision training is determined by:
in the formula, betakVisual acuity parameter, δ, representing the kth perturbation factorlIndicating the degree of influence of the visual state of the l-th disturbing factor.
5. The method of claim 1, wherein the quantitatively evaluating vision status comprises:
defining original labeling information based on vision influence indexes under different types of vision training;
acquiring an image data source carrying original labeling information;
inputting the image data source into a vision testing system to be tested, and executing vision state testing; comparing and analyzing the test result of the vision test system and the original labeling information in the image data source to obtain a vision state evaluation result output by the vision test system;
and the vision state test result is output by the vision test system after image recognition processing is carried out on the test result and the image data source.
6. The method of claim 5, wherein the original annotation information is annotation information comprising a target and its target attributes;
the targets include one or more of: the light wave sensitivity, definition and color identification conditions of different light waves are met;
the target attributes include one or more of: ciliary muscle, vision fusion, and stereoscopic vision conditions.
7. The method of claim 5, wherein the comparative analysis step comprises:
carrying out standardized conversion on the test result according to the form corresponding to the original marking information to obtain a standardized test result;
comparing the normalized test result with the original labeling information;
and quantitatively counting the comparison result to obtain a quantitative vision state evaluation result output by the image test system.
8. The method of claim 7, wherein the quantitatively statistical comparison result comprises one or more of:
target identification output capability, overall target identification accuracy, identification accuracy of different targets, and variation values of different target attributes.
9. The method of claim 1, wherein the vision training of the current vision state comprises:
respectively displaying the test images to the eyes of the user, and determining the training parameters of the eyes of the user according to the vision state of the user;
respectively showing training images to eyes with different training parameters, wherein the training images comprise a first vision training image and a second vision training image, the first vision training image and the second vision training image comprise at least one training element, and signals of the first vision training image and the second vision training image are different in height;
wherein the training elements include, but are not limited to, color, brightness, saturation, contrast, and sharpness.
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| CN114469663A (en) * | 2022-03-24 | 2022-05-13 | 河南护眼优品实业有限公司 | Intelligent training method and device for preventing and controlling eyesight improvement |
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