945 results about "Visual acuity" patented technology

The invention discloses a cockpit visual work efficiency evaluation method. The method comprises the following steps: establishing a cockpit geometric model according to a real cockpit; establishing a cockpit light environment model according to the cockpit light environment parameters; establishing a cockpit optical material model according to the optical material parameters of the inner and outer surfaces of the cockpit; fusing and establishing a cockpit optical model; a simulation detector is arranged on the cockpit optical model; according to the cockpit optical model and the analog detector, human eye vision optical simulation and dazzle source space tracking and positioning are carried out; according to a glare source space tracking and positioning result, a cockpit structure is optimized; and performing cockpit visual work efficiency evaluation according to a cockpit structure optimization result. According to the cockpit visual work efficiency evaluation method, reasonable evaluation of cockpit visual work efficiency readable visibility in various environments is achieved, simulation is conducted on the cockpit light environment through computer software, and adjustment can be conducted according to the working habit, the vision condition, the age and other factors of each pilot.

The invention relates to the technical field of medical rehabilitation, and discloses a vestibular function and cognitive function rehabilitation training system and method based on virtual reality, and the rehabilitation training system comprises a hardware platform, a software platform and a server. The hardware platform comprises VR interaction equipment, a head motion tracking sensor and calculation and display equipment; the software platform is integrated with a user management module, a visual stimulation module, a vestibular rehabilitation training module, a cognitive evaluation and training module, a dynamic visual acuity evaluation module and a data management and analysis module. By combining black and white chess grid visual stimulation, standardized vestibular rehabilitation tasks, spatial cognitive testing and DVA objective monitoring, synchronous evaluation and personalized collaborative intervention of vestibular functions and cognitive functions of dizzy patients are realized. According to the method, the problems of boring traditional rehabilitation means, subjective evaluation and lack of quantitative feedback are solved, and the scientificity, interestingness and curative effect testability of rehabilitation training are remarkably improved.

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 embodiment of the invention discloses a visual reconstruction method, device and equipment, a computer readable medium and a program product. A specific embodiment of the method comprises the following steps: acquiring an original image; obtaining a view image of a target user; carrying out binarization processing on the visual field image to obtain a binarized visual field image; de-noising processing is carried out on the binarized visual field image to obtain a de-noised visual field image; performing contour detection on the denoised view image to obtain a contour detection result; generating a residual vision area corresponding to the target user based on the contour detection result; generating an energy field graph according to the original image; generating a vision reconstruction image corresponding to the original image according to the generated energy field image, the original image and the residual vision area; and displaying the visual reconstruction image. According to the embodiment, visual field defect visual aid equipment does not need to be customized, and optical accessories do not need to be replaced.

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.

The invention discloses an intelligent eye-protection illumination control system, and relates to the technical field of intelligent illumination control, and the system comprises a physiological analysis module which is used for calculating the pupil diameter physiological index of a user through a Daugman algorithm based on the preprocessed multi-source data, marking fatigue early warning, obtaining the fatigue state of the user, and obtaining the fatigue state of the user according to the long-time fixed region of the sight line of the user; performing sight line drop point processing and region division through a space coordinate mapping and clustering algorithm to generate a concentration region coordinate; the instruction generation module is used for fusing the scene initial light strategy and the focus area coordinate through a weighted fusion method, forming a light parameter in combination with a user vision parameter, and analyzing through an NSGA-II algorithm to obtain an illumination control instruction; the execution module is used for transmitting and executing based on the illumination control instruction through a wireless communication method, and monitoring visual physiological reaction of the user in real time to obtain feedback data; according to the invention, the environment change is predicted through the Markov model, the illumination is prevented from lagging behind the environment change, and the illumination foresight and adaptability are improved.

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 embodiment of the invention discloses an image display method, an image display device, electronic equipment and a storage medium. The image display method comprises the following steps: acquiring a to-be-processed image; at least part of the area of the to-be-processed image is subjected to fuzzy processing, an out-of-focus image is obtained, and the out-of-focus image is used for being imaged on the retina of a user when the vision of the user is normal; and displaying the out-of-focus image. According to the embodiment of the invention, the image content seen on the retina of the user is restored through the blurred image when the myopia is out of focus, so that the myopia out-of-focus image is seen when the human eyes are normally focused, and the effect of protecting the eyesight through out-of-focus is further realized.

The invention provides a vision assessment method and system based on augmented reality, and relates to the technical field of vision assessment, and the method comprises the steps: obtaining an environment correction parameter based on an environment parameter; generating visual stimulation according to the vision evaluation task, the environment correction parameter and the initial visual stimulation parameter; s103, obtaining response feedback of the user to the current visual stimulation, and performing feature extraction on the response feedback to obtain a feature vector; s104, inputting the feature vector into a pre-trained adjustment model to obtain a visual stimulation parameter adjustment amount, and adjusting the visual stimulation parameter based on the visual stimulation parameter adjustment amount to obtain an updated visual stimulation parameter; s105, generating updated visual stimulation according to the vision evaluation task, the updated visual stimulation parameters and the environment correction parameters; the steps S103 to S105 are iteratively executed until a preset evaluation termination condition is met; and inputting the structured evaluation sequence data into a pre-trained evaluation model to generate a vision evaluation result of the user.

The invention relates to the technical field of myopia prevention and control, and discloses a myopia prevention and control management system and method based on an AI technology and pattern classification. The system comprises a data acquisition module which is used for acquiring vision related data and daily eye using behavior data of a user; the data processing module carries out preprocessing and feature extraction on the vision related data and the daily eye using behavior data to obtain AI monitoring processing data; the AI analysis module obtains a risk level from AI monitoring processing data through a myopia risk assessment model, starts a myopia disease type AI detection model to obtain a disease type when the risk is medium and high, and obtains a myopia development trend result and an eye using behavior problem through a myopia development trend prediction model and personalized eye using behavior analysis; and the user service module generates and stores a user vision health file and generates a personalized intervention scheme. According to the invention, accurate evaluation of the myopia risk, scientific prediction of the development trend and personalized intervention are realized, and the pertinence and effectiveness of myopia prevention and control are improved.

The invention provides a contact lens with peripheral defocus, and relates to the technical field of optical lenses, the lens comprises a contact optimization core area, a partitioned progressive microprism array area and a dynamic light scattering area, and the specific setting is as follows: the contact optimization core area is located at the geometric center of the lens, the outward extension radius is 1.8-2.2 mm, and the contact optimization core area provides clear central vision; according to the intelligent self-adaptive contact lens, the intelligent self-adaptive contact lens is characterized in that the intelligent self-adaptive contact lens comprises a contact optimization core area and a partition progressive microprism array area, the partition progressive microprism array area is located on the outer side of the contact optimization core area and surrounds the contact optimization core area in a concentric ring shape, and through collaborative design of the partition progressive microprism array area and the dynamic light scattering area, the real-time monitoring and dynamic adjusting capacity of a photoelectric feedback control module is combined; the problem that an optical structure of an existing product lacks dynamic adaptability is effectively solved, and the optical structure can be changed according to different illumination environments and wearing duration.

Users exploiting near-to-eye (NR2I) displays for augmented reality and / or correction of low vision are typically wearing these NR2I displays for specific tasks or for extended periods of time, potentially all their time awake. Conflicting tradeoffs between user comfort and minimal fatigue and strain during use, ease of attachment, minimizing intrusiveness and aesthetics should be concurrently balanced with providing an optical vision system that provides the user with a wide field of view, high image resolution, and a large exit pupil for eye placement with sufficient eye clearance. Accordingly, embodiments of the invention provide NR2I displays meeting these conflicts whilst also addressing the inherent variations between user in respect of their head dimensions, head and eye geometry, as well as adapting the displayed content to reflect the user's task at-hand, visual defects or degradations, visual focus and intent upon various regions-of-interest within their field of view. Such HMDs providing enhanced user experiences.

The invention relates to the technical field of computer vision, in particular to a multi-modal intelligent glaucoma recognition method and system based on transfer learning, and the method comprises the following steps: collecting fundus images of a glaucoma patient in multiple stages based on medical image data, analyzing the texture and shape changes in the images, and obtaining a multi-modal image; and simulating changes of the pathological features in a plurality of development stages, and generating a dynamic pathological feature sequence. According to the method, retina changes of a glaucoma patient in multiple disease development stages are simulated, visual feature information of pathological features in multiple development stages is captured, visual features of fundus images of the patient are extracted and compared, the disease development stages of the patient are evaluated, and the feature recognition process is optimized in combination with transfer learning. The method improves the generalization ability of the model and the diagnosis accuracy, achieves the accurate evaluation of the visual impairment through combining the measurement and prediction of the intraocular pressure data, and helps medical personnel to judge the retina state of a glaucoma patient.

Provided is a medical apparatus for predicting myopic regression. The medical apparatus for predicting myopic regression can be configured to predict at least one of a probability of myopic regression and whether myopic regression will occur from numerical data including a refractive power, a corneal curvature, an eye axial length, a photopic pupil size, a mesopic pupil size, a corneal diameter, a corneal thickness, a corneal epithelial thickness, a high-order aberration, a visual acuity, an intraocular pressure, a sex, and an age using a machine learning processor.

The invention discloses a self-service vision detector for AI human body action reading, which comprises an action capture module, an eye movement tracking module, a self-adaptive test module, a feedback and suggestion module, an intelligent diagnosis module and a user interaction interface module, and is characterized in that the action capture module captures and analyzes human body actions in real time by using a camera or a sensor; the eye movement tracking module detects visual response of a user by analyzing movement tracks of eyeballs in real time, the self-adaptive testing module automatically adjusts difficulty of testing content according to eye movement data of the user, and the feedback and suggestion module analyzes results according to response time of the user and focusing precision data of the eyes. According to the method, the vision level of the user is automatically judged, a detailed diagnosis report is generated, and compared with the prior art, a feedback mechanism can reduce man-made interference and improve the accuracy and reliability of testing.

A vision test can be implemented in a virtual reality (VR) environment using a computer device that includes a head-mounted display (HMD). The computer device can obtain historical vision data of a patient user. Based on the historical vision data, the computer device determines an ordered sequence of vision tests including a first vision test for the patient user. The first vision test is followed by a set of one or more subsequent vision tests of the ordered sequence of vision tests. The computer device executes a user application configured to enable the ordered sequence of vision tests by rendering a user interface on the display. A first visual stimulus of the first vision test is displayed on the user interface. The computer device obtains a user response to the first visual stimulus, and dynamically adjusts one or more subsequent visual stimuli based on the user response.

The invention discloses a vision correction lens for an XR product and a manufacturing method thereof.The lens comprises a front surface and a rear surface, the front surface is arranged to be a plane, the rear surface is arranged to be a curved surface, and the manufacturing method specifically comprises the steps that S1, a three-dimensional human eye eyeball simulation model containing human eye structure features is constructed, establishing a lens-eyeball combined optical model; s2, optimizing the integrated structure of the lens and the waveguide; s3, sampling lens grid data points point by point; s4, constructing a target evaluation function MF and optimization parameters; s5, correlation coefficients are calculated, and lens and free ring curved surface profiles are constructed; according to the invention, the difference between the natural light and the light from the XR waveguide sheet in wavelength and light component is particularly distinguished, the problem of image distortion at the edge of the field of view under a large visual angle can be obviously improved, and the image quality and visual comfort of the XR glasses are effectively improved on the premise of ensuring the vision correction function, so that the vision correction effect is improved. And the integrated structure of the lens and the waveguide is simplified.

An electronic device with which a user can see an image with less distortion is provided. The electronic device includes a display apparatus and an optical device. The optical device includes a position adjustment mechanism and can perform eyesight adjustment. The display apparatus displays a correction image that has been distorted from an original image into a barrel shape to correct distortion aberration of a lens. A correction amount of the correction image (a size and a distortion rate of the image) is changed according to the position of the lens moved by the position adjustment mechanism. This enables the image to be corrected to an optimal state at all times even when the position of the lens is moved for the eyesight adjustment and thereby improves the quality of the image to be seen.

The invention discloses a double-arm robot main and auxiliary moving operation coordination control method based on vision / force sense servo and implementation thereof. Double-arm coordination is supported, multi-sensing information is fused, compliant operation is considered, and the method is adaptive to a moving scene. The mobile main and auxiliary double-arm robot control system comprises a mobile base subsystem, a main and auxiliary double-arm subsystem and a control subsystem. The double-arm main and auxiliary operation coordination control method based on visual / force sense servo comprises visual servo target tracking based on a tail end camera and force sense servo compliant operation control based on a force sensor, operation tasks are achieved in the state that a base moves, and the double-arm main and auxiliary operation coordination control method adapts to the complex working environment; a state machine mechanism is adopted to manage a mechanical arm motion mode, screw assembly task-oriented operation process arrangement is realized, and the efficiency and controllability of the operation process are improved.

The invention concerns a device designed for eyesight examination, which can be applied in medicine, in particular in ophthalmology The device can be used for perimetry / visual field testing and also other parameters where tests are conducted by means of light stimuli displayed in front of the patient's eyes.

The invention relates to the technical field of ophthalmology medicine, computer vision and artificial intelligence, in particular to a teenager myopia progress prediction and intervention method and a teenager myopia progress prediction and intervention system. A deep learning model is constructed by using the data, the myopia development trend is predicted, eye using behaviors are monitored in real time through a multi-modal fusion technology, the data are deeply analyzed, and a personalized myopia intervention scheme is formulated according to a model prediction result; according to the system, the prediction accuracy is improved through multi-source data fusion, the binocular independent observation and real-time monitoring technology is adopted, eye use details are accurately captured, data driving and technical innovation are integrated, accurate prediction, effective intervention and scientific evaluation of myopia are achieved, and the system is high in practicability and high in practicability. And a comprehensive and intelligent solution is provided for myopia prevention and control.

This application is directed to implementing a vision test by an electronic device having a head-mounted display (HMD). The electronic device executes a user application associated with the vision test, and obtains an instruction to implement a target vision test. A target user interface is selected between a virtual reality (VR) user interface corresponding to a three-dimensional (3D) virtual environment and an augmented reality (AR) user interface corresponding to a 3D AR environment. The electronic device implements the target vision test on the target user interface. In some embodiments, the VR user interface has a background view (e.g., a static beach view, a static city night scene, a dynamic traffic view) on which visual stimuli are overlaid. In some embodiments, the electronic device enables the AR user interface by setting the HMD to show a field of view and overlaying visual stimuli on the field of view.

The invention relates to a visual training method, device and equipment based on a dynamic view field, and the method comprises the steps: obtaining detection data and a training time threshold value of a to-be-trained user, and the detection data comprises long-distance data, short-distance data and measurement precision; detecting the to-be-trained user according to the detection data to obtain vision data before training; determining training data according to the vision data; and according to the training data, carrying out distant view field and near view field alternate cycle training on the to-be-trained user until the duration reaches a training duration threshold, and completing visual training on the to-be-trained user. According to the visual training method based on the dynamic view field, vision data detected by a to-be-trained user is obtained to determine training data, and then the to-be-trained user is subjected to far view field and near view field alternate cycle training according to the training data and a training duration threshold value, so that the eyes of the to-be-trained user really move in the training process; therefore, the training effects of eye fusion image and focusing and diverging function adjustment are obviously improved.

Brain activity can be monitored to facilitate a vision test in a virtual reality (VR) environment using an electronic device that includes a head-mounted display (HMD) and a plurality of electrodes. The electronic device can execute a user application configured to enable a virtual vision test, and generates a VR user interface corresponding to a three-dimensional (3D) virtual environment. The electronic device renders, on the HMD, a user interface including a first visual stimulus corresponding to the virtual vision test. While displaying the visual stimulus, in real time, the electronic device collects a plurality of electrical signals by the plurality of electrodes that contact a head of a user, and determines information of at least one of a second visual stimulus following the first visual stimulus and a user response to the first visual stimulus based on the plurality of electrical signals.

The invention discloses an eye vision light health management system, and relates to the technical field of vision health management systems, the system specifically comprises data management and service management, the data management comprises a data acquisition module, a data processing module, a data identification module and a data transmission module, and the service management comprises tour service, store arrival service and remote service. According to the eye vision light health management system, through cooperation of the data acquisition module, the data processing module, the data identification module and the data transmission module, a detection mode of integrating intelligent wearable equipment and an eye vision light detection instrument to detect key indexes of vision data, intraocular pressure and diopter of a patient is adopted, a single detection mode is replaced, and meanwhile, the detection efficiency is improved. The integration of the intelligent wearable device and the eyesight light detection instrument also saves the step of manual recording of the detection data by the staff, thereby improving the accuracy of the eyesight detection data of the patient.

The invention discloses an automatic injection pen which comprises a pen container shell with the open front end, a pre-filling syringe is arranged in the pen container shell, a medicine pushing rod and a locking mechanism are arranged in the pen container shell, and an unlocking structure is further connected to the pen container shell in a sliding mode. The pen container shell is further provided with a first elastic element which pushes the medicine pushing rod to collide with a piston of the pre-filled syringe after the locking mechanism is unlocked so as to make a first prompt sound and enable the pre-filled syringe to conduct injection. And a prompting piece is arranged between the medicine pushing rod and the pen container shell, wherein the prompting piece is locked when the medicine pushing rod is in the initial state, and the prompting piece is unlocked when the injection of the pre-filled syringe is finished after the medicine pushing rod advances by a second preset distance, so that the prompting piece collides with the pen container shell to give out a second prompting sound. The product can respectively generate clear and distinguishable sounds at two key nodes of injection starting and injection completion, so that a user can accurately judge the injection process without depending on vision, the product is suitable for visual impairment people or operation in an emergency scene, and the medication safety and psychological safety are improved.

The invention relates to the technical field of myopia prevention and control, and discloses a correction and training integrated lens and glasses based on retina signal gradient remodeling. The lens substrate is divided into a vision correction area located in the center and a multi-dimensional three-dimensional asymmetric optical signal field extending outwards in a gradient mode around the vision correction area. The multi-dimensional stereoscopic asymmetric optical signal field comprises 10000-26000 asymmetric signal field independent units and 400-1500 stereoscopic structure protrusions, wherein the asymmetric signal field independent units are formed on the concave surface of the lens substrate through laser engraving, the diameter range of the asymmetric signal field independent units is 100-300 microns, and the stereoscopic structure protrusions are formed in a protruding mode, and the diameter range of the stereoscopic structure protrusions is 0.5-2 mm. And 4-12 asymmetric signal field independent units are distributed on each three-dimensional structure bulge. The lens does not induce or increase astigmatism due to the structure of the lens, and can relieve the over-stimulation of long-time close-range eye use and abnormal environment illumination signals on the retina, so as to slow down the over-growth of the ocular axis.

The utility model belongs to the technical field of lamps, solves the problem that the glare phenomenon of an LED lamp strip in the prior art causes different degrees of damage to vision, and provides an anti-glare polarized light optical lamp strip and a lighting device. Comprising a dimming part, a light source, a shell and an anti-dazzle layer, the dimming part and the anti-dazzle layer are sequentially installed in an inner cavity of the shell in the height direction of the shell, the light source is installed in the dimming part, the anti-dazzle layer is located on the light emitting direction side of the dimming part, and the dimming part is fixed in the shell in an abutting and clamping mode. And the edge of the anti-dazzle layer is matched with the second clamping part, so that the anti-dazzle layer is clamped in the shell. According to the utility model, the anti-dazzle layer is arranged in the light emitting direction of the lamp strip shell, so that the dazzle influence of a light source on the environment is weakened; meanwhile, the dimming piece is directly arranged between the anti-dazzle layer and the light source, the light source is subjected to secondary optical adjustment by combining the small angle of the light source with the light transmitting piece in a specific shape, various small-angle polarization control is achieved, and the small angle of the light source is achieved.

An extended reality (XR) system includes an XR display configured to be movably disposed in a line of sight of a user. The system also includes a vision correction component configured to be disposed in the line of sight of the user. The system further includes a displacement mechanism configured to guide the XR display out of the line of sight of the user while the vision correction component remains in the line of sight of the user, and limit relative positions of the XR display and the vision correction component.

Disclosed in the embodiments of the present application are an image display method, an image display apparatus, an electronic device and a storage medium. The image display method comprises: acquiring an image to be processed; performing blurring processing on at least part of said image to obtain a defocused image, wherein the defocused image is configured to be imaged on the retinas of a user when the eyesight of the user is normal; and displaying the defocused image. In the embodiments of the present application, by means of a blurred image, image content seen on the retinas of a user when myopic defocusing occurs is restored, such that a myopic defocused picture is seen when the human eyes focus normally, thereby achieving the protection effect of defocusing on eyesight protection.