Visual perception training device and method using a circular layer coordinate system

The visual perception training device using a circular layer coordinate system enhances visual abilities by setting and adjusting training points based on response scores, effectively improving visual recognition for individuals with impairments.

JP2025539855AInactive Publication Date: 2025-12-09NUNAPS INC
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Patent Information

Application Number
JP2025530468
Authority / Receiving Office
JP · JP
Patent Type
Applications
Current Assignee / Owner
Priority Date
2023-05-26
Filing Date
2024-05-24
Publication Date
2025-12-09
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

Existing treatments for visual impairments due to eye diseases like glaucoma and diabetic retinopathy are often ineffective, necessitating improved methods for enhancing visual abilities.

Method used

A visual perception training device and method utilizing a circular layer coordinate system with a display module, input module, and control module to set and adjust training points based on response scores, improving visual recognition through targeted training.

Benefits of technology

Enhances visual ability and widens the range of visual recognition by setting and resetting training points based on performance, effectively addressing visual impairments.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present disclosure relates to an apparatus and method for providing visual perception training using a circular layer coordinate system, and may include a display module that displays a circular layer coordinate system including a plurality of circular layers and a plurality of straight lines and a plurality of intersections where the plurality of circular layers and the plurality of straight lines intersect, a memory that stores information about the circular layer coordinate system, an input module into which the trainee's responses are input, and a control module that calculates the trainee's response scores for the plurality of intersections in order from the circular layer closest to the origin of the circular layer coordinate system to the circular layer farthest from it, sets a pre-set number of training points based on the calculated response scores, and performs visual perception training at the training points.
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Description

[Technical Field]

[0001] The present disclosure relates to an apparatus and method for providing visual perception training, and more particularly, to an apparatus and method for providing visual perception training using a circular layer coordinate system. [Background technology]

[0002] Many patients suffer from visual field impairment and impaired visual ability due to eye diseases such as glaucoma, macular degeneration, and diabetic retinopathy. Eye diseases can cause visual system abnormalities, such as pressure on the optic nerve and impaired blood supply, which can cause problems with the function of the optic nerve.

[0003] Conventionally, such diseases have been treated by administering drugs or by performing surgery, but there have been cases where the treatment was not successful.

[0004] Therefore, there has always been a need for effective methods for improving visual abilities, and devices and methods have emerged that provide visual perceptual learning to improve such visual abilities. Summary of the Invention [Problem to be solved by the invention]

[0005] The present disclosure has been made in consideration of the above circumstances, and its purpose is to provide a visual perception training device and method using a circular layer coordinate system.

[0006] The problems that the present disclosure aims to solve are not limited to those mentioned above, and other problems not mentioned will be clearly understood by those skilled in the art from the description that follows. [Means for solving the problem]

[0007] The visual perception training providing device according to the present disclosure for achieving the above-mentioned technical objectives may include a display module that displays a circular layer coordinate system including a plurality of circular layers and a plurality of straight lines and a plurality of intersections where the plurality of circular layers and the plurality of straight lines intersect, a memory that stores information about the circular layer coordinate system, an input module into which the trainee's response is input, and a control module that calculates the trainee's response scores for the plurality of intersections in the order of the circular layer closest to the origin of the circular layer coordinate system to the circular layer farthest from the origin, sets a pre-set number of training points based on the calculated response scores, and performs visual perception training for the training points.

[0008] In addition, the method for providing visual perception training according to the present disclosure may include the steps of: displaying on a display module a circular layer coordinate system including a plurality of circular layers and a plurality of straight lines, and including a plurality of intersections where the plurality of circular layers and the plurality of straight lines intersect; calculating the trainee's response scores for the plurality of intersections in order from the circular layer closest to the origin of the circular layer coordinate system to the circular layer farthest from the origin; setting a previously set number of training points based on the calculated response scores; and performing visual perception training at the training points. [Effects of the Invention]

[0009] According to the visual perception training providing device disclosed herein, by setting training points where visual recognition is possible at a certain level and providing visual perception training at those training points, the visual ability of the trainee can be effectively increased.

[0010] Furthermore, the visual perception training providing device of the present disclosure provides the effect of widening the range of visual recognition possible for the trainee by resetting the training points based on the training results. [Brief explanation of the drawings]

[0011] [Figure 1] FIG. 1 illustrates a block diagram of a visual perception training providing device according to an embodiment of the present disclosure. [Figure 2] FIG. 1 illustrates a circular layer coordinate system according to an embodiment of the present disclosure. [Figure 3] 10A and 10B are diagrams illustrating a training point setting operation using a circular layer coordinate system according to an embodiment of the present disclosure. [Figure 4] FIG. 10 is a diagram illustrating a training point setting operation in a first circular layer according to an embodiment of the present disclosure. [Figure 5] FIG. 10 is a diagram illustrating a training point setting operation in the second circular layer according to an embodiment of the present disclosure. [Figure 6] FIG. 10 is a diagram illustrating the operation of setting a training point when two or more candidates are found according to an embodiment of the present disclosure. [Figure 7] FIG. 10 is a diagram illustrating the training point setting operation when one candidate is found according to an embodiment of the present disclosure. [Figure 8] FIG. 10 is a diagram illustrating a training point setting operation when 0 candidates are found according to an embodiment of the present disclosure. [Figure 9] FIG. 10 is a diagram illustrating a training point setting operation when 0 candidates are found according to an embodiment of the present disclosure. [Figure 10] FIG. 10 is a diagram illustrating a training point setting operation when 0 candidates are found according to an embodiment of the present disclosure. [Figure 11] FIG. 10 is a diagram illustrating the size of a reference image for each circular layer according to an embodiment of the present disclosure. [Figure 12] 1 is a flowchart illustrating a method for providing visual perception training according to an embodiment of the present disclosure. DETAILED DESCRIPTION OF THE INVENTION

[0012] The same reference numerals refer to the same elements throughout this disclosure. This disclosure does not describe all elements of the embodiments, and general content in the technical field to which this disclosure pertains or overlapping content in the embodiments will be omitted. "Parts, modules, components, blocks" used in the specification can be realized by software or hardware, and depending on the embodiment, multiple "parts, modules, components, blocks" can be realized as a single component, and one "part, module, component, block" can include multiple components.

[0013] Throughout this specification, when a part is said to be "connected" to another part, this includes not only direct connections but also indirect connections, including via a wireless communication network.

[0014] Furthermore, when a part is described as "comprising" a certain element, this does not mean that it excludes other elements, but that it may further include other elements, unless otherwise specified.

[0015] Throughout this specification, when an element is said to be "on" another element, this includes not only when the element is in contact with the other element, but also when there is another element between the two elements.

[0016] The terms "first," "second," etc. are used to distinguish one component from another, and the components are not limited to the terms described above.

[0017] The singular expression includes the plural expression unless the context clearly indicates otherwise.

[0018] The identification numbers in each step are used for convenience of explanation and do not dictate the order of the steps. The steps may be performed in a different order than specified unless the context clearly dictates a particular order.

[0019] The working principle and embodiments of the present disclosure will be described below with reference to the accompanying drawings.

[0020] The term "device according to the present disclosure" as used herein includes all of a variety of devices capable of performing computations and providing results to a user. For example, the device according to the present disclosure may include all of a computer, a server device, and a portable terminal, or may take any one of these forms.

[0021] Here, the computer may include, for example, a notebook computer, a desktop computer, a laptop computer, a tablet PC, a slate PC, etc., equipped with a web browser.

[0022] The server device is a server that communicates with external devices and processes information, and may include an application server, a computing server, a database server, a file server, a game server, a mail server, a proxy server, and a web server.

[0023] The portable terminal is, for example, a wireless communication device that ensures portability and mobility, and may include all kinds of handheld-based wireless communication devices such as PCS (Personal Communication System), GSM (Global System for Mobile communications), PDC (Personal Digital Cellular), PHS (Personal Handyphone System), PDA (Personal Digital Assistant), IMT (International Mobile Telecommunication)-2000, CDMA (Code Division Multiple Access)-2000, W-CDMA (W-Code Division Multiple Access), WiBro (Wireless Broadband Internet) terminals, smartphones, etc., as well as wearable devices such as watches, rings, bracelets, anklets, necklaces, glasses, contact lenses, or head-mounted devices (HMDs).

[0024] The AI-related functions of the present disclosure are operated by a processor and memory. The processor may be configured with one or more processors. Here, the one or more processors may be general-purpose processors such as a CPU, AP, or DSP (Digital Signal Processor), dedicated graphics processors such as a GPU or VPU (Vision Processing Unit), or dedicated AI processors such as an NPU. The one or more processors control the processing of input data according to predefined operating rules or AI models stored in memory. Alternatively, if the one or more processors are dedicated AI processors, the dedicated AI processor may be designed as a hardware structure specialized for processing a specific AI model.

[0025] As used herein, perceptual learning refers to learning that improves perception of stimuli through repeated training with the stimuli. In other words, visual perceptual learning refers to learning that improves perception of visual stimuli through repeated training with visual stimuli. As a result of visual perceptual learning, a learner may see something that was not seen before or may be able to notice differences that were not previously distinguishable. Visual perceptual learning should be broadly interpreted to include not only learning that improves the ability to find objects from stimuli received from the outside through the visual organs, but also learning that improves the ability to distinguish objects from stimuli.

[0026] As used herein, visual field defect / visual field disorder refers to a disorder of the visual system from the retina to the cerebral cortex or an abnormality in the visual field. For example, visual field defect should be broadly interpreted to include not only visual field defects caused by damage to brain function, but also visual field defects caused by the death (or dysfunction) of retinal ganglion cells. Non-limiting examples of diseases that cause visual field disorders include glaucoma, macular degeneration, diabetic retinopathy, hemianopia, and quadrantanopia.

[0027] In this specification, visual ability should be broadly interpreted as a concept that includes not only visual acuity measured by the ability to distinguish letters, numbers, symbols, etc. in order of size on an eye chart, but also visual perception ability related to object recognition in the brain. For example, if the eyes can normally receive visual stimuli but the brain cannot perceive the visual stimuli and cannot see objects, this may mean that visual ability is reduced or poor.

[0028] Fig. 1 is a block diagram of a visual perception training provision device according to an embodiment of the present disclosure. Referring to Fig. 1, the visual perception training provision device 100 may include a communication module 110, an input module 130, a display module 150, a memory 170, and a control module 190. The components shown in Fig. 1 are not essential for implementing the visual perception training provision device 100 according to the present disclosure, and therefore the visual perception training provision device 100 described herein may have more or fewer components than those described above.

[0029] The visual perception training providing device 100 according to an embodiment of the present invention may include various devices capable of performing computational processing. For example, the visual perception training providing device 100 may include a desktop PC, a mobile phone, a smartphone, a laptop computer, a personal digital assistant (PDA), a portable multimedia player (PMP), a slate PC, a tablet PC, an ultrabook, a wearable device, etc.

[0030] In one embodiment, the visual perception training providing device 100 may include a head-mounted device such as an HMD (Head Mounted Display) that is worn on the trainee's head to display images, smart glasses, smart goggles, or a display device such as a mobile phone that can be attached to a head-mounted device.

[0031] The communication module 110 performs wired or wireless communication with at least one external device (such as a server), particularly by transmitting and receiving wireless signals over a communication network using wireless internet technology.

[0032] Examples of wireless internet technologies include WLAN (Wireless LAN), Wi-Fi (Wireless-Fidelity) (registered trademark), Wi-Fi (Wireless Fidelity) Direct, DLNA (Digital Living Network Alliance) (registered trademark), WiBro (Wireless Broadband), WiMAX (World Interoperability for Microwave Access) (registered trademark), HSDPA (High Speed ​​Downlink Packet Access), HSUPA (High Speed ​​Uplink Packet Access), LTE (Long Term Evolution), LTE-A (Long Term Evolution-Advanced), etc. The visual perception training providing device 100 transmits and receives data via at least one wireless internet technology, including internet technologies not listed above.

[0033] The communication module 110 is for short-range communication and can support short-range communication using at least one of Bluetooth (registered trademark), RFID (Radio Frequency Identification), Infrared Data Association (IrDA), UWB (Ultra Wideband), ZigBee, NFC (Near Field Communication), Wi-Fi (Wireless-Fidelity) (registered trademark), Wi-Fi Direct, and Wireless Universal Serial Bus (Wireless USB) technologies. In this case, the short-range wireless communication network can be a wireless personal area network.

[0034] The input module 130 can acquire signals corresponding to trainee inputs, such as trainee inputs for setting training points or performing visual perception training, responses to training point setting actions and visual perception training actions provided via the display module 150, etc.

[0035] In this case, the input module 130 may include a keyboard, a keypad, a button, a jog shuttle, a wheel, etc. Furthermore, the trainee's input to the input module 130 may be, for example, a button press, a touch, a drag, etc.

[0036] The input module 130 may be configured as a separate module connected wirelessly or by wire to the visual perception training providing device 100. For example, the visual perception training providing device 100 may provide the trainee with an image for setting a training point or performing visual perception training through a display module 150 worn and attached to the trainee's head, and may receive a response input from the trainee through the input module 130 configured as a separate module held in the trainee's hand.

[0037] The display module 150 outputs videos or images. For example, the display module 150 may include an LCD, an OLED, an AMOLED, etc. In one embodiment, when the display module 150 is implemented as a touch screen, the display module 150 may also function as the input module 130. In this case, a separate input module 130 may not be provided, or an input module 130 with limited functions such as a volume control, power button, and home button may be provided. The display module 150 may also be provided in the form of a video output port that transmits video information to an external display device.

[0038] In one embodiment, the display module 150 may include a plurality of first and second displays corresponding to the trainee's eyes (left and right eyes), respectively, where the first display can output a first image and the second display can output a second image.

[0039] However, the present disclosure is not limited thereto, and the display module 150 may be implemented as a single display, in which case the display module 150 may output a first image to the left region of the display and a second image to the right region of the display.

[0040] The memory 170 stores various data (information) as well as at least one data (information) and at least one process required for providing the visual perception training method. For example, the memory 170 can store a training program, at least one trainee information (personal information, visual information, response information, training results, etc.), measurement images, training images, etc. In addition, the memory 170 can store various commands, algorithms, etc. for performing the training point setting operation and the visual perception training operation.

[0041] Furthermore, the memory 170 may include at least one type of storage medium selected from the group consisting of flash memory, hard disk, multimedia card micro, card-type memory (e.g., SD or XD memory), random access memory (RAM), static random access memory (SRAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), programmable read-only memory (PROM), magnetic memory, magnetic disk, and optical disk. Furthermore, the memory 170 may store information temporarily, permanently, or semi-permanently, and may be provided as an internal or removable type.

[0042] The control module 190 controls the configuration within the visual perception training providing device 100 or processes and calculates various information. The control module 190 executes the training point setting operation and the visual perception training operation based on at least one process stored in the memory 170.

[0043] Before performing the visual perception training operation, the control module 190 may perform a training point setting operation for the visual perception training of the trainee. In one embodiment, the control module 190 may set the training point of the trainee using a circular layer coordinate system. Here, the circular layer coordinate system refers to a coordinate system consisting of a plurality of circular layers and a plurality of straight lines, each having a different radius from the origin.

[0044] Specifically, the control module 190 displays the circular layer coordinate system via the display module 150, and can check whether the trainee can visually recognize a plurality of points in the circular layer coordinate system. The control module 190 can then select points that belong to a kind of gray zone, which are visually recognizable to a certain level, as training points.

[0045] The control module 190 can then perform a visual perception training operation for the trainee at the selected training point. Specifically, the control module 190 can perform a visual perception training operation for increasing the trainee's visual ability at the selected training point. The control module 190 can then perform a reset operation for the training point based on the training results of the visual perception training operation.

[0046] For example, if the training results for the existing training points are excellent, the control module 190 can set new training points to further expand the range of visual recognition possible for the trainee, or if the training results for the existing training points are insufficient, the control module 190 can set other training points that may expand the range of visual recognition possible.

[0047] The control module 190 can be realized by software, hardware, or a combination of these. For example, in terms of hardware, the control module 190 can be realized as an FPGA (field programmable gate array), an ASIC (application specific integrated circuit), a semiconductor chip, or various other forms of electronic circuitry. For example, in terms of software, the control module 190 can be realized as a logic program executed by the above-mentioned hardware, various computer languages, or the like.

[0048] Unless otherwise specified in the following description, it can be understood that the operation of the visual perception training providing device 100 is performed under the control of the control module 190.

[0049] In this way, the visual perception training providing device 100 according to the present disclosure can effectively improve the visual ability of the trainee by setting training points where a certain level of visual recognition is possible and providing visual perception training at the corresponding training points.

[0050] Furthermore, the visual perception training providing device 100 according to the present disclosure can widen the range in which the trainee can visually recognize by resetting the training points according to the training results.

[0051] Meanwhile, the visual perception training providing device 100 may be implemented to perform a training point setting operation and a visual perception training operation via an external device, depending on the embodiment. For example, when the visual perception training providing device 100 is implemented as a server, the visual perception training providing device 100 may perform a training point setting operation and a visual perception training operation by communicating with an external device via the communication module 110. In this case, the operation using the input module 130 and the display module 150 of the visual perception training providing device 100 described in this specification may be replaced with an operation using a display module and an input module of the external device via the communication module 110.

[0052] 2 is a diagram illustrating a circular layer coordinate system according to an embodiment of the present disclosure. Referring to FIG. 2, the circular layer coordinate system includes first to fourth circular layers (Layer 0, Layer 1, Layer 2, Layer 3) having different radii centered on the origin, and first to fifth straight lines (Ray 0, Ray 1, Ray 2, Ray 3, Ray 4) passing through the origin.

[0053] In one embodiment, among the first to fourth circular layers (Layer 0, Layer 1, Layer 2, Layer 3), the first circular layer (Layer 0) has the smallest radius, and the radius increases toward the fourth circular layer (Layer 3). In one embodiment, the radius of the circular layer can be set so that the inner region from the origin to the fourth circular layer (Layer 3) corresponds to the central vision of the trainee's visual range, and the outer region of the fourth circular layer (Layer 3) corresponds to the peripheral vision of the trainee's visual range.

[0054] In one embodiment, the first to fifth straight lines (Ray0, Ray1, Ray2, Ray3, and Ray4) may have angles that divide a semicircle of the circular layer coordinate system by 30°. For example, referring to FIG. 2, with respect to a semicircle including the first and fourth quadrants of the circular layer coordinate system, the first to fifth straight lines (Ray0, Ray1, Ray2, Ray3, and Ray4) are at angles of 30°, 60°, 90°, 120°, and 150°, respectively, from a vertical axis passing through the origin. In this specification, the third straight line (Ray2) may be referred to as a horizontal line.

[0055] In one embodiment, the circular layer coordinate system may include multiple intersections where the first to fourth circular layers (Layer 0, Layer 1, Layer 2, Layer 3) and the first to fifth straight lines (Ray 0, Ray 1, Ray 2, Ray 3, Ray 4) intersect with each other. The coordinates of the multiple intersections may be expressed as (circular layer, straight line).

[0056] For example, the intersection of the first circular layer (Layer0) and the second line (Ray1) can be expressed as (0, 1). The intersection of the third circular layer (Layer2) and the first line (Ray0) can be expressed as (2, 0). The intersection of the third circular layer (Layer2) and the third line (Ray2) can be expressed as (2, 2). The intersection of the third circular layer (Layer2) and the fourth line (Ray3) can be expressed as (2, 3). The intersection of the second circular layer (Layer1) and the fifth line (Ray4) can be expressed as (1, 4).

[0057] In one embodiment, the visual perception training device 100 can set training points using only semicircles in a circular layer coordinate system. Specifically, the visual perception training device 100 can set training points using only semicircles corresponding to the trainee's visual field impairment area. For example, if the trainee's visual field impairment area is on the right side, the visual perception training device 100 can use only the right semicircle in the circular layer coordinate system. Also, if the trainee's visual field impairment area is on the left side, the visual perception training device 100 can use only the left semicircle in the circular layer coordinate system. However, the present disclosure is not limited thereto, and the visual perception training device 100 can of course be embodied to set training points using quadrants or the entire circle in the circular layer coordinate system.

[0058] 2 illustrates and describes a circular layer coordinate system including four circular layers and five lines, the present disclosure is not limited thereto, and the number of circular layers and lines constituting the circular layer coordinate system may be more or less than the above example.

[0059] 2 illustrates and describes the multiple lines as lines passing through the origin, but the present disclosure is not limited thereto. In one embodiment, the multiple lines may be realized as lines that do not pass through the origin but are parallel to each other horizontally or vertically.

[0060] FIG. 3 is a diagram illustrating a training point setting operation using a circular layer coordinate system according to an embodiment of the present disclosure.

[0061] In one embodiment, the visual perception training providing device 100 can perform a test to confirm the range of visual recognition possible for the trainee in order to set the training points. The visual perception training providing device 100 can perform the test for each of the multiple intersections.

[0062] Specifically, the test of the visual perception training device 100 may begin by displaying a circular layer coordinate system via the display module 150. The visual perception training device 100 may then display a first reference image 10 at the origin and a second reference image 20 at an intersection on the circular layer. The first reference image 10 and the second reference image 20 may be the same or different images. In one embodiment, the first reference image 10 and the second reference image 20 may be Gerber patch images.

[0063] The visual perception training providing device 100 can request the trainee to respond whether the second reference image 20 located at a specific intersection is the same as the first reference image 10 while looking at the first reference image 10 located at the origin. The visual perception training providing device 100 can then determine whether the trainee's response is correct or not. The test of the visual perception training providing device 100 then ends.

[0064] For example, if the first reference image 10 and the second reference image 20 are the same (or different) images and the trainee transmits a response indicating that they are the same (different), the visual perception training providing device 100 can determine that the answer is correct. Also, if the first reference image 10 and the second reference image 20 are the same (or different) images and the trainee transmits a response indicating that they are different (the same), the visual perception training providing device 100 can determine that the answer is incorrect.

[0065] The visual perception training providing device 100 can perform multiple tests for each intersection and calculate a response score for the corresponding intersection based on the responses to the multiple tests. For example, the visual perception training providing device 100 can perform 12 tests for one intersection and calculate the number of correct answers out of the 12 answers as the response score for the corresponding intersection. For example, if 12 answers are correct out of 12 answers, the response score is 12 points, and if 12 answers are incorrect, the response score is 0 points.

[0066] The visual perception training providing device 100 may determine that an intersection point is a candidate for training if its response score falls within a valid score range. Here, the valid score range refers to a score range that is determined to be capable of visual recognition at a certain level through multiple tests, and may be set to a score range that is approximately 75% of the number of tests in some embodiments. For example, if 12 tests are conducted, the valid score range may be set to 8 to 10 points.

[0067] That is, when the response score is higher than the range of effective scores, the visual perception training providing device 100 determines that the area is an area where the trainee can fully recognize visually, and therefore does not require visual training. On the other hand, when the response score is lower than the range of effective scores, the visual perception training providing device 100 determines that the area is an area outside the boundary of the area where the trainee can fully recognize visually, and therefore does not require visual training as a low priority area.

[0068] The visual perception training providing device 100 can determine, among the response scores of a plurality of intersections, intersections that fall within the range of valid scores as training point candidates. If the number of candidates is a preset number, the visual perception training providing device 100 can set the candidates as training points. For example, if there are two candidates, the visual perception training providing device 100 can set the two candidates as training points. A detailed description of how the visual perception training providing device 100 selects training points when there are zero, one, or two or more candidates will be provided later with reference to FIGS. 6 to 10.

[0069] FIG. 4 is a diagram illustrating a training point setting operation in the first circular layer according to an embodiment of the present disclosure.

[0070] In one embodiment, the visual perception training providing device 100 can search for a training point from the circular layer closest to the origin. Referring to Figure 4, the visual perception training providing device 100 can search for a training point from the first circular layer (Layer 0) closest to the origin.

[0071] Specifically, the visual perception training providing device 100 can perform multiple tests on the intersections on the first circular layer (Layer 0). For example, referring to Fig. 4, the visual perception training providing device 100 can perform multiple tests sequentially on each of the five intersections ((0, 0), (0, 1), (0, 2), (0, 3), and (0, 4)) on the first circular layer (Layer 0).

[0072] Then, the visual perception training providing device 100 can calculate the response scores for each of the five intersections ((0, 0), (0, 1), (0, 2), (0, 3), (0, 4)) on the first circular layer (Layer 0) based on the trainee's response.

[0073] If the number of intersections included in the range of valid points among the five intersections ((0,0), (0,1), (0,2), (0,3), (0,4)) corresponds to a pre-set number (e.g., two), the visual perception training providing device 100 can set the intersection as a training point. However, if the number of intersections included in the range of valid points among the five intersections ((0,0), (0,1), (0,2), (0,3), (0,4)) is less than the pre-set number (e.g., zero or one), the visual perception training providing device 100 can perform a search on the next circular layer.

[0074] FIG. 5 is a diagram illustrating a training point setting operation in the second circular layer according to an embodiment of the present disclosure.

[0075] Referring to FIG. 5, the visual perception training providing device 100 can search for a training point in a second circular layer (Layer 1), which is the circular layer closest to the origin after the first circular layer (Layer 0).

[0076] Specifically, the visual perception training providing device 100 can perform multiple tests on the intersections on the second circular layer (Layer 1). For example, referring to Fig. 5, the visual perception training providing device 100 can perform multiple tests sequentially on each of the five intersections ((1, 0), (1, 1), (1, 2), (1, 3), and (1, 4)) on the second circular layer (Layer 1).

[0077] Then, the visual perception training providing device 100 can calculate the response scores for each of the five intersections ((1, 0), (1, 1), (1, 2), (1, 3), (1, 4)) on the second circular layer (Layer 1) based on the trainee's response.

[0078] The visual perception training providing device 100 can set the intersections as training points when the number of intersections included in the range of valid points among the ten intersections ((0,0), (0,1), (0,2), (0,3), (0,4), (1,0), (1,1), (1,2), (1,3), (1,4)) on the first circular layer (Layer0) and the second circular layer (Layer1) corresponds to a pre-set number (e.g., two). However, when the number of intersections included in the range of valid points among the ten intersections ((0,0), (0,1), (0,2), (0,3), (0,4), (1,0), (1,1), (1,2), (1,3), (1,4)) is less than the pre-set number (e.g., zero or one), the visual perception training providing device 100 can perform a search on the next circular layer. This method can be similarly applied to the third circular layer (Layer 2) and the fourth circular layer (Layer 3).

[0079] FIG. 6 is a diagram illustrating a training point setting operation when two or more candidates are found according to an embodiment of the present disclosure.

[0080] In one embodiment, the visual perception training providing device 100 can find a preset number of candidates (e.g., two) on one circular layer. For example, referring to FIG. 6, the visual perception training providing device 100 can identify two intersections ((0, 1), (0, 2)) on the first circular layer (Layer 0) that have response scores within the valid score range. In this case, the visual perception training providing device 100 can set the two intersections ((0, 1), (0, 2)) as training points 30.

[0081] In one embodiment, the visual perception training providing device 100 can find more than two candidates. For example, the visual perception training providing device 100 can find three or more candidates on one circular layer. In this case, the visual perception training providing device 100 can select a predetermined number of candidates (e.g., two) from the three or more candidates based on priority and set them as training points. Here, the priority can be in the order of "middle value-lower value-upper value" of the effective score range. For example, if the effective score range is 8 points to 10 points, the priority can be in the order of "9 points-8 points-10 points." Therefore, if three candidates have response scores of 8 points, 9 points, and 10 points, respectively, the candidates with 9 points and 8 points can be set as training points.

[0082] However, examples of the priority order are not limited to the above examples, and the priority order may be set in the order of "middle value-upper value-middle value" of the valid score range, or may be set based on other criteria.

[0083] FIG. 7 is a diagram illustrating a training point setting operation when one candidate is found according to an embodiment of the present disclosure.

[0084] In one embodiment, the visual perception training providing device 100 searches all the circular layers, but it may find only one candidate. In this case, the visual perception training providing device 100 may set the training point in a different manner depending on whether the one candidate is on the horizontal line (i.e., the third straight line (Ray2)).

[0085] Specifically, when one candidate is not on the horizon, the visual perception training providing device 100 may determine a point symmetrical to the candidate with respect to the horizon as the second candidate. For example, referring to FIG. 7, when one candidate is (0, 1), the visual perception training providing device 100 may determine (0, 3), which is a point symmetrical to (0, 1) with respect to the horizon, as the second candidate. Then, the visual perception training providing device 100 may set the two candidates ((0, 1), (0, 3)) as training points.

[0086] Furthermore, when one candidate exists on the horizon, the visual perception training providing device 100 can determine two points that are symmetrical with respect to the horizon as candidates. In one embodiment, the visual perception training providing device 100 can determine two points that are symmetrical with respect to the horizon from among the intersections on the circular layer where one candidate exists as candidates. For example, when one candidate is (0, 2), the visual perception training providing device 100 can set two points ((0, 1) and (0, 3)) from among the intersections on the first circular layer (Layer 0) that are symmetrical with respect to the horizon as training points.

[0087] 8 to 10 are diagrams illustrating the training point setting operation when zero candidates are found according to an embodiment of the present disclosure.

[0088] In one embodiment, the visual perception training providing device 100 may search all circular layers but may not find a candidate within the range of valid scores. In this case, the visual perception training providing device 100 may set training points in different ways depending on the response scores of all intersections.

[0089] Specifically, when the response scores of all intersections are higher than the valid score range, the visual perception training providing device 100 may determine, as candidates, the two intersections on the outermost circular layer that are the furthest from each other. For example, referring to FIG. 8, the visual perception training providing device 100 may determine, as candidates, the two intersections on the fourth circular layer (Layer 3) that are the furthest from each other ((3, 0) and (3, 4)). The visual perception training providing device 100 may then set the two candidates ((3, 0) and (3, 4)) as training points 30.

[0090] Furthermore, when the response scores of all intersections are lower than the valid score range, the visual perception training providing device 100 may determine, as candidates, the two intersections on the innermost circular layer that are the furthest from each other. For example, referring to FIG. 9, the visual perception training providing device 100 may determine, as candidates, the two intersections on the innermost first circular layer (Layer 0) that are the furthest from each other ((0, 0) and (0, 4)). The visual perception training providing device 100 may then set the two candidates ((0, 0) and (0, 4)) as training points 30.

[0091] In yet another embodiment, if the visual perception training providing device 100 searches all circular layers but does not find any candidates within the range of valid scores, it may set a point in the outer region of the outermost circular layer and the origin as the training point 30. In one embodiment, the point in the outer region may be randomly selected or may be a previously set point.

[0092] FIG. 11 is a diagram illustrating the size of a reference image for each circular layer according to an embodiment of the present disclosure.

[0093] In one embodiment, the size of the second reference image 20 may increase as the circular layer on which the intersection where the second reference image 20 is displayed is located moves farther away from the origin. For example, referring to FIG. 11, the second reference image 20 displayed at each of the intersections on the first to fourth circular layers (Layer 0, Layer 1, Layer 2, Layer 3) is smallest on the first circular layer (Layer 0) and gets larger as it moves toward the fourth circular layer (Layer 3). This is because the average distance between intersections increases as it moves away from the origin in the circular layer coordinate system.

[0094] In one embodiment, for each of the first to fourth circular layers (Layer 0, Layer 1, Layer 2, Layer 3), information on the distance from the origin to the reference image and the size of the surrounding reference image is as shown in Table 1 below.

[0095] [Table 1]

[0096] 12 is a flowchart illustrating a method for providing visual perception training according to an embodiment of the present disclosure. Referring to FIG. 12, the visual perception training providing device 100 can calculate the trainee's response score for each intersection, starting from the intersection on the circular layer closest to the origin to the intersection on the circular layer farthest from the origin (S110). Specifically, the visual perception training providing device 100 can perform a test on each intersection, starting from the intersection on the circular layer closest to the origin to the intersection on the circular layer farthest from the origin, in a circular layer coordinate system in which multiple circular layers and multiple lines intersect.

[0097] Here, the test requires a response as to whether a first reference image displayed at the origin and a second reference image displayed at the intersection are the same image, and a score may be awarded depending on whether the trainee's response is correct or not. The test may be administered multiple times. The visual perception training providing device 100 may calculate the trainee's response score based on the scores from multiple tests. The visual perception training providing device 100 may then set a pre-set number of training points based on the calculated response scores (S120). Specifically, the visual perception training providing device 100 checks how many of the response scores for the intersections on one circular layer are within the range of valid scores. If the number of intersections within the range of valid scores is the pre-set number (e.g., two), the visual perception training providing device 100 may set the corresponding intersections as training points. On the other hand, if the number of intersections included in the range of valid points is less than the number already set, the visual perception training providing device 100 checks the number of response points included in the range of valid points, including the intersections on the next circular layer.

[0098] If the number of response points including the intersection on the last circular layer that are within the range of valid points is still less than the previously set number, the visual perception training providing device 100 can set a point that is symmetrical to the intersection included in the range of valid points with respect to the horizon as the training point. Also, if there is no response point including the intersection on the last circular layer that is within the range of valid points, the visual perception training providing device 100 can set two points that are furthest from each other on the innermost circular layer or the farthest circular layer as the training points.

[0099] When the number of response scores for intersections on one circular layer that fall within the range of valid scores is greater than a preset number, the visual perception training providing device 100 may select the preset number of intersections according to a priority order and set the selected intersections as training points. Here, the priority order may be in the order of "middle value-lower value-upper value" of the valid score range.

[0100] Then, the visual perception training providing device 100 can perform visual perception training for the training points (S130). Specifically, the visual perception training providing device 100 can perform visual perception training for the trainee for the pre-set number of training points, and can obtain the training results of the trainee.

[0101] Then, the visual perception training providing device 100 can reset the training point according to the training result (S140). Specifically, if the training result for the existing training point is excellent, the visual perception training providing device 100 can set a new training point to further expand the range of visual recognition possible for the trainee. On the other hand, if the training result for the existing training point is insufficient, the visual perception training providing device 100 can set another training point that has the potential to expand the range of visual recognition possible.

[0102] Meanwhile, the disclosed embodiments may be realized in the form of a recording medium storing computer-executable instructions. The instructions may be stored in the form of program code, which, when executed by a processor, generates program modules to perform the operations of the disclosed embodiments. The recording medium may be realized as a computer-readable recording medium.

[0103] Computer-readable recording media include all types of recording media that store computer-readable instructions, such as ROM (Read Only Memory), RAM (Random Access Memory), magnetic tape, magnetic disk, flash memory, and optical data storage devices.

[0104] The disclosed embodiments have been described above with reference to the accompanying drawings. Those skilled in the art will understand that the present disclosure may be embodied in forms different from the disclosed embodiments without changing the technical concept or essential features of the present disclosure. The disclosed embodiments are illustrative and should not be construed as limiting.

Claims

1. a display module that displays a circular layer coordinate system including a plurality of circular layers and a plurality of straight lines, the circular layer coordinate system including a plurality of intersection points where the plurality of circular layers and the plurality of straight lines intersect; a memory for storing information about the circular layer coordinate system; an input module into which the trainee's responses are input; Calculating the trainee's response scores for the plurality of intersections in the order from the circular layer closest to the origin of the circular layer coordinate system to the circular layer farthest from the origin; Set a predetermined number of training points based on the calculated response scores; a control module for performing visual perception training on the training location; A visual perception training providing device including:

2. The control module displaying a first reference image at the origin and a second reference image at each of the plurality of intersections, receiving a response from the trainee as to whether the first reference image and the second reference image are identical, and performing a test to determine whether the trainee's response is correct; 2. The visual perception training providing device according to claim 1, wherein the response scores for the plurality of intersections are calculated based on whether the trainee's responses are correct or not.

3. The control module performing said test a plurality of times for each of said plurality of intersections; 3. The visual perception training providing device according to claim 2, wherein the response scores for the plurality of intersections are calculated based on a plurality of responses of the trainee to a plurality of tests.

4. The control module 4. The visual perception training providing device according to claim 3, wherein, from among the plurality of intersections, intersections having response scores that fall within a range of valid scores are selected as candidates.

5. The control module selecting the candidate from among intersections on a first circular layer among the plurality of circular layers; If the number of the candidates is less than the preset number, the candidate is additionally selected from intersections on a second circular layer, which is farther from the first circular layer, among the plurality of circular layers; 5. The visual perception training providing device of claim 4, wherein if the number of candidates is greater than the number that has been set, the device selects the number of candidates that has been set from the candidates according to a priority order and sets them as the training points.

6. The control module selecting the candidate from among intersections on a first circular layer among the plurality of circular layers; 5. The visual perception training providing device according to claim 4, wherein if the number of the candidates is a preset number, the candidates are set as the training points.

7. The control module resets the training points based on the results of the visual perception training; The visual perception training providing device according to claim 1 , wherein the plurality of straight lines pass through the origin of the circular layer coordinate system.

8. 1. A method for providing visual perception training executed by a control module of a device, comprising: displaying, on a display module of the device, a circular layer coordinate system including a plurality of circular layers and a plurality of straight lines, the circular layer coordinate system including a plurality of intersection points where the plurality of circular layers and the plurality of straight lines intersect; calculating the trainee's response scores for the plurality of intersections in the order from the circular layer closest to the origin of the circular layer coordinate system to the circular layer furthest from the origin; setting a predetermined number of training points based on the calculated response scores; performing visual perception training on the training point; A method for providing visual perception training, comprising:

9. The control module displaying a first reference image at the origin and a second reference image at each of the plurality of intersections, receiving a response from the trainee as to whether the first reference image and the second reference image are identical, and performing a test to determine whether the trainee's response is correct; 9. The method for providing visual perception training according to claim 8, wherein the response scores for the plurality of intersections are calculated based on whether the trainee's responses are correct or not.

10. The control module performing said test a plurality of times for each of said plurality of intersections; 10. The method for providing visual perception training according to claim 9, wherein the response scores for the plurality of intersections are calculated based on a plurality of responses of the trainee to the plurality of tests.

11. The control module 11. The method for providing visual perception training according to claim 10, wherein an intersection having a response score within a range of valid scores is selected as a candidate from among the plurality of intersections.

12. The control module selecting the candidate from among intersections on a first circular layer among the plurality of circular layers; If the number of the candidates is less than the preset number, the candidate is additionally selected from intersections on a second circular layer, which is farther from the first circular layer, among the plurality of circular layers; 12. The visual perception training method of claim 11, wherein, if the number of candidates is greater than a predetermined number, the predetermined number of candidates are selected from the candidates according to a priority order and set as the training points.

13. The control module selecting the candidate from among intersections on a first circular layer among the plurality of circular layers; The method of claim 11, wherein if the number of candidates is a preset number, the candidates are set as the training points.

14. The control module resets the training points based on the results of the visual perception training; The method of claim 8 , wherein the plurality of straight lines pass through the origin of the circular layer coordinate system.

15. A computer-readable recording medium having recorded thereon a computer program for causing a computer to execute the visual perception training providing method according to claim 8.

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