948results about "Eye exercisers" patented technology

The invention provides a VR-based dynamic visual function training method and device, a medium, a program product and a terminal. An initial training task type and configuration parameters are generated according to a visual evaluation result of a patient, a sighting mark and a stimulation signal for visual function training are constructed, and training is executed through a VR unit. In the training process, feedback data of a patient is collected in real time, a real-time evaluation result is analyzed and generated, task types, configuration parameters and sighting marks are dynamically adjusted, and new stimulation signals are generated to continue training, so that dynamic optimization of training content is achieved. Through real-time evaluation and dynamic adjustment, the problem that the training content is not matched with the requirements of the patient is solved, the defects of a traditional method in the aspects of individuation and adaptability are overcome, the training effect is remarkably improved, the requirements of the patient are better met, the training time is shortened, and the efficiency is improved. The device is especially suitable for rehabilitation training of various visual function defects, and has remarkable advantages in the aspect of dynamic visual function recovery.

According to the multi-mode visual stimulation and intelligent self-adaption combined myopia prevention and control system based on the AR glasses, all-weather, personalized and full-scene myopia suppression is realized through multi-module cooperation of sensory visual stimulation, visual function training, AI scene dynamic recognition and directional intervention, self-adaption closed-loop feedback, cloud / offline deployment and the like; through multi-dimensional visual stimulation and real-time physiological monitoring, eye axis growth is accurately regulated and controlled, myopia prevention and control precision is improved, out-of-focus and contrast setting are automatically optimized based on immediate refraction and adjustment feedback, personalized intervention is enhanced, lightweight AI and cloud pre-calculation are introduced, the endurance of equipment is effectively prolonged, an existing AR platform is compatible, the development process is simplified, and the development efficiency is improved. And the user compliance is enhanced.

The invention relates to a self-adaptive visual training method based on eye features, and belongs to the technical field of visual health and artificial intelligence. In order to solve the problems that traditional visual training equipment is heavy in structure, single in training mode and lack of personalized regulation and control and concentration state monitoring, the visual training equipment obtains eye images of a user in real time through an image acquisition module, adopts visual intelligent analysis, extracts double features of eye contours and pupil positions, calculates the visual concentration degree, and improves the visual training efficiency. And a concentration state is judged by combining a dynamic self-adaptive threshold value. When the concentration degree is insufficient, the control module triggers intervention mechanisms such as prompt or training pause and the like, and the remote interaction module uploads data to the cloud platform to generate a personalized training scheme. Intelligent and personalized regulation and control of the training process are achieved, the training effect and compliance are improved, the system is compact in structure and suitable for various scenes, and an efficient solution is provided for vision health.

The microstructure lens comprises a substrate, the substrate is provided with a bright vision area, a first optical area and a second optical area, and the first optical area and the second optical area are arranged around the bright vision area; the first optical area is located between the bright visual area and the second optical area and connected with the bright visual area and the second optical area. The bright vision area is used for generating a clear vision signal; the first microstructure array is arranged in the first optical area and is used for being matched with the substrate to provide a visual signal for stimulating the periphery of the retina; and the second microstructure array is arranged in the second optical area and is used for being matched with the substrate to provide at least two different visual signals for stimulating the periphery of the retina. The first optical area provides single-effect stimulation to compensate relative peripheral diopter close to the center of the retina macular, and lens wearing adaptability of a patient is considered; the second optical zone provides multiple-effect stimulation to compensate for gradually increasing relative peripheral diopter around the retina and delay the time of drug resistance generation of the product, thereby enhancing myopia management efficacy and prolonging efficacy time.

The invention discloses an intelligent zooming system and method for visual adjustment function training, and relates to the technical field of medical auxiliary equipment and visual health. The system comprises an intelligent zoom terminal and a control platform, and the control platform generates a training instruction set containing modulation parameters and task parameters and sends the training instruction set to the terminal; the modulation parameter controls the diopter modulator to generate a specific diopter change mode, and the task parameter controls the AR display module to present an interactive visual training task; the terminal controller synchronously executes diopter modulation and task presentation; the control platform further analyzes and optimizes modulation parameters to update subsequent training based on user interaction data collected during the training process. According to the invention, through cooperation of diopter change and visual training and parameter adaptive optimization based on user feedback, closed-loop personalized training of a visual adjustment function is realized.

The invention discloses a myopia prevention and control display method and device, computer equipment and a storage medium, and the method comprises the steps: determining an object in front of a vehicle, the relative distance between which and the vehicle is greater than a first set distance, as a target watching object according to the environment information in front of the vehicle; a fuzzy image layer is displayed at the position, corresponding to the target watching object, of a target device so as to change the fuzzy degree of the target watching object, and the target device is a vehicle window of the vehicle or a head-mounted device connected with the vehicle; and if it is detected that the duration of watching the fuzzy layer by the user is greater than the set duration, cancelling the display of the fuzzy layer on the target device. Thus, when the duration of the user watching the target watching object in front of the vehicle is longer than the set duration, the target watching object is gradually cleared by canceling the display of the fuzzy layer on the target watching object, so that the ciliary muscles of the eyes of the user are helped to be gradually relaxed, and the user experience is improved. Therefore, the user can complete myopia prevention and control training in idle time in a vehicle driving or parking scene.

The invention discloses a visual training system and a visual training method, and relates to the technical field of visual training, the visual training system comprises a data acquisition module, an intelligent control module, a visual training module and a data management module; wherein the data acquisition module is used for acquiring initial visual data of a user; the intelligent control module is used for generating a training scheme according to the initial visual data, dynamically adjusting the training scheme according to the real-time training data, and generating and sending a control signal to the visual training module according to the training scheme; the visual training module is used for performing visual training according to the control signal and outputting training data; the data management module is used for storing training data and generating and outputting a visual training report according to all the training data of the user; the visual training report comprises a training progress curve and a vision change curve of the user. According to the invention, an intelligent visual training method can be provided to improve the visual training effect.

Exemplary embodiments relate to systems, methods, and apparatus to objectively assess binocular dysfunction for screening, diagnoses, and evaluation of vision / oculomotor function before, during, and after various forms of therapeutic interventions. Systems and methods diagnose and assess binocular dysfunction objectively and automatically, can render a visual stimulus on one or more displays, and can control accommodative and proximal vergence stimulation of a user's eyes.

The invention relates to the technical field of vision intervention, in particular to an eye muscle regulation ability training method and a visual training graph generation method thereof.According to the eye muscle regulation ability training method, feature information of a trainee and distance information of training are obtained, and a preset image generation network model is used for generating a corresponding visual training graph; the training device is used for training the eye muscle adjusting ability of a trainee. According to the method, the initial distance point location is matched based on the eyesight data of the trainee, the corresponding vision training graph is generated according to the current distance point location and the feature data of the trainee, the training intensity is dynamically adjusted, a personalized training scheme is achieved, the eye muscle adjusting ability is helped to be improved, and the training effect is improved. The problem of poor effect or overtraining caused by inappropriate training intensity is avoided, and the technical problems that in an existing eye muscle training method, due to insufficient individual pertinence, the training effect is difficult to quantify, and training scientificity and systematicness are insufficient are solved.

The utility model discloses an eyepiece disc assembly which comprises an eyepiece disc support, an eyepiece disc and a motor, and the middle part of the eyepiece disc is rotatably connected with the eyepiece disc support; the motor is arranged on the eyepiece disc bracket; the magnet is arranged on the eyepiece disc and rotates along with the eyepiece disc; the Hall sensor is arranged on the eyepiece disc support, and when the eyepiece disc rotates to a preset position, the Hall sensor is aligned with the magnet; the main control board is in communication connection with the motor and the Hall sensor, and when the Hall sensor is aligned with the magnet, the main control board controls the motor to stop. According to the utility model, the Hall sensor is used for monitoring the single-point position of the eyepiece disc, so that step loss accumulation of the motor can be effectively avoided, the cost is low, and the occupied space is small; the single-side eyepiece disc only occupies one pin of the main control board; according to the overturning bat disclosed by the utility model, the lenses can be automatically switched; the motor rotates the eyepiece disc, and the lens switching speed is uniform; and the interpupillary distance can be manually adjusted according to user requirements.

The invention discloses a vision correction method based on VR eyeball following movement, and relates to the field of vision and vision correction, in particular to a method for correcting vision through eyeball following movement of a human body based on a VR technology, a glasses tool, corollary equipment and an application method. Comprising the steps of training acquisition, training video selection, following judgment, video adjustment and the like, the following condition of the eyeball can be evaluated more accurately by calculating the angle difference and the eyeball movement following degree, and the problems that misjudgment possibly exists in a traditional method and the training effect is poor due to the fact that the eyeball cannot follow are solved. According to the technology, the parameters of the training video can be dynamically adjusted according to real-time feedback of the eyeball following degree, and the vision correction effect is improved; by means of the VR technology, tools, equipment and other methods, eyeballs move along with the VR technology, tools, equipment and the like, and the vision of people is improved and corrected; therefore, extraocular muscles are trained to drive eyeballs to move, eyeball crystalline lenses move back and forth along with the video, and the effect of improving the naked eye vision is achieved.

The invention relates to a method for relieving juvenile pseudomyopia based on artificial intelligence, and relates to the field of vision adjustment, and the method comprises the following steps: obtaining an eye using distance in a sight line direction; when the eye using distance falls into a preset vision interval, acquiring eye using time; when the eye using time exceeds a preset eye using fatigue interval, determining a far-away focal length according to the eye using distance; determining a glasses control parameter according to the distant focal length; and controlling preset zoom glasses to adjust the focal length according to the glasses control parameters. The application has the effects of improving the treatment effect on the pseudomyopia patient and reducing the condition of eye fatigue in daily life.

The invention belongs to the technical field of medical apparatus and instruments, and particularly provides an eye-brain organ complex visual restoration system based on cooperative training, comprising: an eye-brain organ complex construction module for constructing a functional eye-brain organ complex; the signal processing module is used for collecting and processing an initial nerve spike signal generated by the brain organ; the stimulation signal generation module is used for generating an electrical stimulation signal for simulating the response of the photoreceptor through an adaptive modulation algorithm; the signal decoding and mapping module is used for stimulating a brain organ to generate a new nerve spike signal based on the electrical stimulation signal and decoding the new nerve spike signal into an external equipment control instruction; and the closed-loop feedback control module is used for performing closed-loop feedback control and optimization on the eye and brain organ complex visual restoration system based on cooperative training. According to the invention, the visual information in the biological signal can be correctly identified and utilized.

The invention relates to the technical field of visual health management, in particular to a ciliary muscle adjustment training system and method based on eye movement tracking, and the method comprises the steps: collecting eye movement data of a fixation point track, an adjustment amplitude change rate and pupil response time in real time, and combining personalized parameters such as the age of a user, diopter and a training target; inputting a ciliary muscle training dynamic planning algorithm module, dynamically generating a stage scheme containing a training action type, a single-group duration, a stimulation interval and a focal length adjustment strategy, and adaptively adjusting the strategy according to real-time adjustment stability and a historical ability curve; through multi-dimensional matching analysis of a pre-stored standard eye movement template, a training specification score is calculated from the track goodness of fit, speed uniformity, amplitude standard-reaching rate and binocular coordination, visual fatigue parameters are obtained based on continuous training duration, pupil fluctuation and retina reflex change, a scoring result is dynamically corrected, and a visual fatigue evaluation result is obtained. Personalized, self-adaptive and quantitative safety control of the training process is realized.

The invention relates to the field of myopia prevention and control optical equipment, in particular to an optical lens with high-frequency disturbance information. Comprising a basic surface type area and a high-frequency control area; the center of the basic surface type area coincides with the center of the optical lens, the high-frequency control area is arranged on the peripheral side of the basic surface type area in a surrounding mode and comprises a plurality of high-frequency lens units, the high-frequency lens units are closely and adjacently arranged, and the surface type of each high-frequency lens unit is in at least one direction of the unit radial direction or the unit tangential direction. The surface type structure is provided with at least two height fluctuation periods. The micro-structure surface type in the high-frequency lens unit mainly acts on the retina by high-frequency disturbance, so that the side effect of low-frequency disturbance generated by a traditional spherical lens on the visual effect can be effectively reduced, and the visual quality is guaranteed. Meanwhile, the high-frequency lens unit has at least two height fluctuation periods in at least one direction; and continuously changing dynamic stimulation is provided for the retina, so that the adaptation speed of the retina is slowed down.

Methods and systems for a model eye unit. In one example, the model eye unit includes a lens assembly removably attached to an anterior scleral casing and a middle section removably coupled to the anterior scleral casing. In the model eye unit, the middle section is removably and height adjustably coupled to a posterior scleral section and the lens assembly includes a cornea lens.

The invention provides a VR visual training method and system based on dynamic refraction adjustment, and is applied to the technical field of VR visual training, and the system comprises a display module, a focusing mechanism, a hybrid optical system and a main controller. The main controller generates a target diopter sequence changing along with time according to the training mode, and drives the optical lens group to move along the optical axis direction, so that the focal power of the system is physically changed; meanwhile, the virtual image depth is updated according to the diopter, and perspective parameters are adjusted and rendered, so that the position of the presented virtual image is consistent with the optical focus in real time; in the training process, the adjusting reaction speed and the adjusting lag amount are obtained through the clear recognition performance of the user on the sighting mark, the main controller conducts self-adaptive adjustment on the follow-up refraction change track based on feedback, and training stimulation is made to be matched with the instant adjusting ability of the user. A real, continuous and individualized adjusting stimulation environment can be constructed, and the effectiveness and safety of ciliary muscle training are improved.

The invention relates to the technical field of vision health care and myopia prevention and control, and discloses a myopia adjusting system for AI intelligent vision training, which comprises a vision training device for dynamically adjusting the vision of a user; the AI algorithm module is used for generating a personalized training scheme according to the vision data of the user and adjusting training parameters in real time; the cloud data processing module is used for storing and analyzing vision data and training records of a user, and the invention further discloses a myopia adjusting method for AL intelligent vision training, and the method comprises the following steps: S1, collecting the vision data of the user, and inputting the vision data into the AI algorithm module; a personalized training scheme is generated by using an AI algorithm, multiple training modes are supported, training parameters are adjusted in real time through a dynamic focusing assembly, the optimization effect is ensured, the system automatically generates a training report for a user to check and adjust, meanwhile, real-time monitoring is achieved through a range finder and a wearing sensor, and training safety and intelligence are ensured.

The invention belongs to the technical field of visual training, and particularly relates to a multi-dimensional visual training feedback method for improving binocular fusion visual and stereoscopic visual functions, and the method comprises the following steps: carrying out medical baseline detection, generating an initial ability portrait through visual function evaluation and cognitive ability testing, matching training difficulty parameters, and generating a personalized scheme; multi-modal game training is carried out, training types comprise gamification training, animation scene training and offline family task training, and the training difficulty is dynamically adjusted; a tutor performs remote one-to-one guidance, and dynamically adjusts a training scheme according to a change report by tracking the training progress in real time; and the system performs multi-dimensional effect evaluation and self-optimizes a difficulty prediction algorithm. According to the method, the problems of dull training and passive participation, scheme stiffness and execution deviation, single stimulation and cognitive load, scene limitation and continuous interruption are solved.

The invention discloses an AI intelligent glasses machine capable of correcting vision and a control method, and relates to the technical field of wearable device.The AI intelligent glasses machine comprises a left glasses leg support, a right glasses leg support, a lens frame and a nose bridge support, and AI lenses are installed on the lens frame; a light and shadow sensing device and a distance sensor are arranged above the nose bridge support, the light and shadow sensing device is used for detecting the brightness of light in front of the eyes of a wearer, image information of the eyes and a real scene image, and the distance sensor is used for detecting the eye using distance of the wearer; a regulation and control module, a data analyzing and processing device and a photographing control module are arranged on one side of the left glasses leg support, capacitance starting switches are arranged on one side of the right glasses leg support and the inner side of the nose bridge support, and a brightness adjusting button, a parameter collecting module and a safety locking key are further arranged on one side of the right glasses leg support; according to the method, the eye using environment and the eye using data of the wearer can be intelligently analyzed, the eye using environment is adjusted, and bad eye using habits are corrected, so that a relatively good vision correction effect is achieved.

The invention discloses a multi-point defocus management method for intelligent training glasses, and particularly relates to the technical field of defocus management, and the method comprises the following steps: S1, data collection; s2, scene recognition and intention judgment; s3, generating a dynamic defocusing scheme; s4, performing out-of-focus stimulation presentation; and S5, performing effect evaluation and adaptive adjustment. Original isolated eye movement tracking, scene recognition and adjustable optical technologies are organically connected in series through an intelligent decision-making core, an autonomous system capable of managing defocus like automatic driving is formed, the fundamental pain point that a traditional technology is static and rigid and cannot adapt to the dynamic requirement of a user is solved, and the user experience is improved. According to the invention, qualitative change of defocus stimulation from fixing to following is realized, it is ensured that the defocus stimulation can continuously and accurately act on the most critical area of the retina, meanwhile, the definition of the central view is ensured to the maximum extent, the contradiction between the defocus effect and the visual comfort is solved, and accurate intervention is realized.

The invention relates to the technical field of exercise direction distinguishing ability training, in particular to an exercise direction distinguishing ability training system which comprises a training parameter setting module, a training image generating module, a man-machine interaction module, a training process control module and a data recording and analyzing module. The training parameter setting module sets training related parameters; the training image generation module generates a training image; the man-machine interaction module presents a training image, obtains the identification condition of a training individual on the training image, monitors a training environment and a training state, and assists training through a low-frequency modulated intermediate-frequency current; the training process control module controls a training process; the data recording and analyzing module can record and analyze training data and evaluate the overall training process. Through targeted visual stimulation design, rigorous training process control and synchronous combination of training auxiliary equipment, training of the motion direction distinguishing ability is effectively achieved, and the motion direction distinguishing ability of a biological individual is improved.

The invention belongs to the field of visual training, and discloses a dynamic visual training method and system based on naked eye 3D imaging, electronic equipment and a storage medium, and the method comprises the steps: obtaining real-time motion information of eyeballs of a user, and analyzing the real-time motion information to obtain a visual angle change parameter of the user; based on the view angle change parameters, performing feature extraction and matching on input left and right view images by using a parallax estimation algorithm to obtain a pixel-level virtual view; performing dynamic rendering based on the pixel-level disparity map to obtain a 3D view; and generating a training task, selecting the 3D view based on the training task, and training the dynamic vision of the user. According to the invention, an artificial intelligence algorithm is designed by adopting a modular architecture, online learning and updating are supported, intelligent and personalized visual training is realized, and the visual cognition ability of the user can be effectively improved.

The invention belongs to the field of display devices, and discloses a far image display device and a control method thereof. The far image display device comprises a shell, a control assembly, a first image display unit, a second image display unit, a display panel, a light emitting panel and a reflecting part. The first image display unit is used for emitting first polarized light in a first polarization direction, and at least part of the first polarized light penetrates through the light emitting panel and enters the display panel; the second image display unit is used for emitting second polarized light in a second polarization direction, the second polarized light is reflected by the light emitting panel and then enters the display panel, and the first polarized light and the second polarized light are reflected by the display panel, then enter the reflecting part, and are reflected by the reflecting part and then penetrate through the display panel to be emitted; and the control assembly is used for controlling the first image display unit and the second image display unit to alternately emit light, so that two images with different distances can be alternately observed from the light emitting surface of the display panel. The vision correction device has the advantages that vision can be corrected through switching of the far image and the near image, and operation is convenient.

The invention discloses a visual function examination training instrument, and relates to the technical field of visual light equipment, the visual function examination training instrument comprises a casing, liquid lenses and a first display screen, the casing is provided with a first hole and a second hole respectively corresponding to the left eye and the right eye of a human body, the first hole and the second hole are both provided with the liquid lenses, and the casing is internally provided with the first display screen. A screen of the first display screen is located in a visible range of the liquid lens, and the liquid lens is electrically connected with electric control equipment used for adjusting supply voltage; according to the principle that the diopters of the liquid lens are different under different voltages, the diopter change of the liquid lens can be controlled by utilizing the electric control equipment, so that smooth zooming, step zooming and jump zooming operations of the liquid lens are completed, the adjustment range, the adjustment precision and the adjustment speed are greatly improved, and the inspection efficiency and the training effect are improved.

The invention relates to a novel reading disorder assessment and intelligent correction method based on EOG. The novel reading disorder assessment and intelligent correction method comprises the following steps: S1, respectively collecting eye movement signal data of a reading disorder child and a normal reading child in a reading process by adopting eye movement collection equipment; s2, filtering the original signal to generate an eye movement diagram, and analyzing transverse and longitudinal movement tracks and directions of eyes; s3, comparing the eye movement images of the reading disorder children and the normal children, and extracting key eye movement characteristic parameters of the reading disorder children and the normal children; s4, analyzing eye movement abnormal characteristics of frequent review of the individual; and S5, assessing the reading disorder through the reading behavior, and assessing the understanding degree of the text segment by using the text-related picture. The intelligent correction module is started to improve the reading effect. According to the method, the motion state of eyeballs, individual attention, visual processing speed, cognitive load and the like are reflected through the change of the electro-oculogram potential, a non-intrusive, real-time and quantitative evaluation and correction scheme is provided, and the evaluation and correction effect of the reading disorder can be remarkably improved.

The utility model provides a protective cover and a fog view screen, the protective cover is applied to the fog view screen, and the protective cover comprises a cover body; one end of the damping rotating structure is connected with the cover body, and the other end of the damping rotating structure is used for being connected with a shell of the fog view screen, so that the cover body is rotationally connected with the shell, and the damping rotating structure has a hovering state. The protective cover and the fog view screen are simple in structure, high in space utilization rate and convenient to manufacture, the dustproof effect requirement can be effectively met, and the service life of the fog view screen is ensured.

The invention provides a binocular fusion visual function training method and device.The method comprises the steps that initial eye positions corresponding to the eyes of a user are obtained, and the initial eye positions refer to position coordinates of images in corresponding display areas when the eyes observe the images displayed in the corresponding display areas to be aligned; horizontally adjusting and vertically adjusting the horizontal position and the vertical position of the image in the corresponding display area based on the initial eye position corresponding to the eyes of the user, so as to determine the horizontal fusion range and the vertical fusion range of the eyes of the user; and in the horizontal fusion range and the vertical fusion range, horizontally and vertically moving the images displayed in the display areas corresponding to the two eyes of the user from the initial eye position so as to carry out user two-eye fusion visual function training. According to the invention, fusion visual function training matched with the situation of the eyes of the user is realized.

To provide a favorable apparatus to adjust the fluid pressure applied to left and right cavities located over left and right eyes of a patient.SOLUTION: An apparatus can include a left cover, sized and shaped to fit over a left eye of a patient to define a left cavity between the left cover and an anterior surface of the left eye, and a right cover, sized and shaped to fit over a right eye of the patient to define a right cavity between the right cover and an anterior surface of the right eye. The apparatus can include a left pressure source to apply a left working fluid to the left cavity, the left pressure source capable of generating a left cavity pressure including a left negative gauge pressure, and a right pressure source to apply a right working fluid to the right cavity, the right pressure source capable of generating a right cavity pressure including a right negative gauge pressure. The left pressure source can be configured to generate a left cavity pressure independently of the right pressure source, and the right pressure source can be configured to generate a right cavity pressure independently of the left pressure source.SELECTED DRAWING: Figure 6

The invention discloses a myopia prevention and control device and method based on virtual reality, and relates to the field of myopia prevention and control. The device comprises a control module, an optical display module and a red light module; the control module is respectively connected with the optical display module and the red light module and is used for outputting an image playing instruction to the optical display module and outputting a red light irradiation instruction to the red light module; the optical display module is used for playing 3D outdoor scene video image data based on the image playing instruction; the 3D outdoor scene video image data is an outdoor dynamic natural light environment simulated based on a VR technology, and the 3D outdoor scene video image data realizes far and near conversion through moving a virtual sighting mark so as to guide a user to look far; the red light module is used for emitting low-frequency red light to the eyes of the user based on the red light irradiation instruction. According to the invention, effective myopia prevention and control can be realized.