794 results about "Pupil" patented technology

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 invention relates to the technical field of image processing, and discloses an image correction method and system for binocular diffraction AR intelligent glasses. The method comprises the following steps: calculating a dispersion response parameter of a diffractive optical element in the AR glasses in a visible light wave band; respectively carrying out dispersion distortion detection on the left eye image and the right eye image in the AR glasses to obtain a left eye dispersion distortion feature and a right eye dispersion distortion feature; interpupillary distance change data of a user is obtained, effective aperture offset calculation is carried out on the diffractive optical element, and interpupillary distance compensation parameters are obtained; performing coupling calculation on the left eye dispersion distortion feature, the right eye dispersion distortion feature and the interpupillary distance compensation parameter to obtain a binocular dispersion correction matrix; and performing dispersion compensation on the left eye image and the right eye image to obtain a dispersion correction image, and outputting the dispersion correction image to a display module of the AR glasses. The method can respond to the pupil distance change of the user in real time, automatically adjust dispersion correction parameters, realize accurate and comprehensive dispersion correction, and ensure the stability of dispersion correction performance.

The invention discloses an emotion analysis method and system based on multi-mode electroencephalogram eye movement fusion. An emotional induction stimulation sequence is alternately or synchronously displayed through a stimulation presentation module according to preset time sequences such as 5-second vision and 3-second auditory sense, a 64 conductive electrode cap (10-20 system layout, the sampling rate is larger than or equal to 1000 Hz) is triggered to collect electroencephalogram data of a prefrontal lobe, a temporal lobe and the like, and meanwhile eye movement data are obtained through an infrared pupil tracking technology (the sampling frequency is larger than or equal to 120 Hz). 0.5-70 Hz band-pass filtering and ICA artifact removal processing are carried out on the electroencephalogram data, smooth interpolation and Kalman filtering optimization are carried out on the eye movement data, and then electroencephalogram alpha / beta / gamma wave power spectrums, eye movement pupil change rates and other characteristics are extracted respectively. A Transform model based on an attention mechanism is adopted, deep fusion of electroencephalogram eye movement features is realized through feature embedding and multi-head self-attention calculation, and emotion recognition accuracy greater than or equal to 85% is achieved through confusion matrix optimization and five-fold cross validation in combination with an SVM or DNN classifier.

The invention relates to the technical field of large model cheating detection, in particular to an online interview large model cheating detection system and method based on eye movement tracking, and the detection method comprises the steps: S1, system initialization and environment adaptation; s2, eye movement tracking calibration and baseline establishment; s3, collecting and preprocessing real-time eye movement data; s4, executing an anomaly detection algorithm; and S5, carrying out risk assessment and outputting a result. According to the scheme, based on the WebGazer.js technology, the mapping relation between the fixation point and the screen coordinates is established through nine-point initialization calibration, and the personalized coefficient k is generated in combination with the pupil diameter and the facial features of the candidate, so that the eye movement tracking error is greatly reduced, and the large model cheating detection precision requirement can be met without special hardware. The design not only reduces the deployment cost, but also breaks through the hardware limitation, so that the technology can adapt to mainstream notebook equipment, is convenient for large-scale popularization and application, and solves the contradiction that high precision and low cost cannot be achieved at the same time in the traditional scheme.

The invention discloses an attention monitoring method, device and equipment based on multi-modal sensing and a medium, and relates to the technical field of attention monitoring. The method comprises the following steps: collecting eye movement image data of eyeballs of a user; extracting fixation point stability features, eye movement track features, blink mode features and pupil dynamic features based on the eye movement image data; determining a concentration score of the user based on the fixation point stability feature, the blink mode feature, the pupil dynamic feature and the eye movement track feature; and if the concentration score is lower than a preset threshold value, sending reminding information to a user through the wearable device. The attention distraction behavior of the user in a continuous high attention demand scene can be accurately identified and prompted in time.

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.

Systems and methods for eye image segmentation and image quality estimation are disclosed. In one aspect, after receiving an eye image, a device such as an augmented reality device can process the eye image using a convolutional neural network with a merged architecture to generate both a segmented eye image and a quality estimation of the eye image. The segmented eye image can include a background region, a sclera region, an iris region, or a pupil region. In another aspect, a convolutional neural network with a merged architecture can be trained for eye image segmentation and image quality estimation. In yet another aspect, the device can use the segmented eye image to determine eye contours such as a pupil contour and an iris contour. The device can use the eye contours to create a polar image of the iris region for computing an iris code or biometric authentication.

A holographic near-eye display device with multi-angle simultaneous illumination comprises a light source module, a spatial light modulator, a beam splitter, an eyepiece, and a master controller. The light source module emits parallel light at different angles and simultaneously illuminates and covers effective working area of spatial light modulator which, loaded with a hologram, modulates incident parallel light at different angles to form diffracted parallel light at different angles, that is, virtual images at different viewing angles. Parallel light at different angles illuminates spatial light modulator. After modulated and diffracted by calculated hologram on spatial light modulator, the diffracted image light is converged by second lens to form different viewpoints for human eye to view. In multi-angle simultaneous illumination, additional time-sharing control of illumination unit is not needed. When size and position of human eye pupil change, clear virtual image is always seen, achieving expanding the eyebox.

The invention relates to the technical field of optometry, and discloses a self-service optometry method and system for a self-service optometry unit, and the method comprises the steps: obtaining a facial image of a user, carrying out key point detection, recognizing images of two eyes, and determining the center of a pupil; setting the position of a light spot emission point according to the pupil center; when the light spot image is emitted into the pupil of the user, adjusting the brightness of the light spot image according to a preset brightness step length, obtaining the pupil area of the user corresponding to each brightness, determining the pupil area change rate corresponding to each brightness, determining the optimal brightness according to the pupil area change rate, and emitting the light spot image to the user based on the optimal brightness; the method comprises the following steps: acquiring a reflected light spot image in a pupil of a user, performing feature extraction on the reflected light spot image to obtain light spot feature information, comparing the light spot feature information with preset standard light spot feature information, determining a refraction state of the user according to a comparison result, and generating an optometry result. According to the invention, the initial accuracy of optometry is improved.

The eyepiece waveguide stack includes a first eyepiece waveguide including a first incoupling diffractive optical element and a first compound pupil dilator, and a second eyepiece waveguide including a second incoupling diffractive optical element and a second compound pupil dilator, the second incoupling diffractive optical element being laterally offset from the first incoupling diffractive optical element.

The invention provides a fitting method of a 3D eye model and electronic equipment, and aims to improve the accuracy of the eye model. Comprising the following steps: in response to an eye model fitting instruction, obtaining eye images obtained when eyes of a user watch fixation points at different positions; obtaining eyeball parameters of the user by using the image position coordinates of the pupil center of the user in each eye image and the standard visual axis vector corresponding to each eye image; obtaining a current eyeball rotation angle based on the eyeball parameters of the user and the image position coordinates of the pupil center in the current eye image every specified duration; according to the current eyeball rotation angle and the eyeball parameters, current eyeball model parameters are obtained, and the eyeball model parameters comprise the position vector of the eyeball center, the position vector of the pupil center, the position vector of the curvature center and the visual axis vector; and updating a preset initial eye model by using the current eyeball model parameters of the user to obtain a current 3D eye model of the user.

A two-dimensional pupil-expanding waveguide optical module relates to the field of optical waveguides and comprises an image source, a waveguide element, a coupling-in element, a turning element and a coupling-out element. The turning element comprises a top grating and a bottom grating; the top grating is arranged on the upper surface of the waveguide element, and the bottom grating, the coupling-in element and the coupling-out element are arranged on the lower surface of the waveguide element; light emitted by the image source is subjected to total reflection in the waveguide element after being diffracted by the coupling-in element; after at least two times of total reflection in the waveguide, the light is diffracted by the top grating and is vertically emitted to the bottom grating, so that expansion in the first direction is realized; the light emitted from the top layer grating is emitted to the other direction after vertically emitting to the bottom layer grating, so that the turning of the light is realized; and the light emitted by the bottom grating is reflected totally at least once in the waveguide element, is diffracted by the coupling-out element and then is emitted to human eyes, so that expansion in a second direction is realized. According to the utility model, the two-dimensional pupil expansion of the image light is realized, the volumes of the coupling element and the projection light machine are reduced, and the manufacturing difficulty of the waveguide element is simplified.

A method and system for determining a pupil profile for imaging a pattern on a substrate in a lithographic process is disclosed. Data indicative of a relationship between a lithographic performance change and a source change throughout the pupil plane is obtained, based on which the first pupil profile is optimized to generate a second pupil profile. The second pupil profile is a discrete pupil profile corresponding to a desired free-form pupil profile that can be used to print a pattern on a substrate using a lithographic apparatus. An illumination system (e.g., a field facet mirror) may be configured based on the second pupil profile to print a pattern on the substrate.

The application discloses a kind of underwater laser imaging optical systems of entry pupil preposition, whole system is ten lenses, a protective window, a variable diaphragm and a filter, from object side to image side, it is protective window, front group, rear group and filter in proper order;Wherein: protective window is used to isolate water;Front group includes front group first, second, third and fourth lens four lenses in proper order;Rear group includes rear group first, second, third, fourth, fifth and sixth lens six lenses in proper order;Variable diaphragm is located between rear group third and fourth lens, and variable F number is realized by adjusting diaphragm aperture size, and lens depth of field is promoted;Filter is narrowband filter;Object side imaging beam is imaged once after passing through protective window, front group lens, then pass through rear group lens and filter and be imaged on target surface.The application can realize variable F number by variable diaphragm, promote lens depth of field, and focusing is carried out by last three lenses of rear group, and underwater 3m to infinite distance imaging can be realized.

The present invention provides a compact optical device for augmented reality, the compact optical device including: an optical means configured to transmit at least part of real object image light therethrough toward the pupil of an eye of a user; a first reflective unit disposed inside the optical unit and configured to transfer augmented reality image light which is image light corresponding to an image for augmented reality output from an image output unit to a second reflective unit; and the second reflective unit disposed inside the optical means and configured to transfer the augmented reality image light transferred from the first reflective unit toward the pupil of the eye of the user by reflecting it, thereby proving an image for augmented reality to the user.

The invention relates to the technical field of multi-point defocusing, in particular to an optical stable photochromic multi-point defocusing myopia control lens prescription generation method, which comprises the following steps of: based on eyes of a wearer, scanning cornea by using a non-contact optical device, extracting iris and pupil characteristics, monitoring an adjustment reaction, and performing three-dimensional reconstruction and multi-direction light path tracking analysis to obtain a myopia control lens prescription. And the distribution configuration of the annular belt is optimized, and the overlapping area is adjusted by combining the photochromic requirement, so that the fusion function partition structure is formed. Through collection of multi-source visual parameters and combination of spatial modeling and focusing path analysis, cut-through association of individual visual behaviors and structural attributes in lens customization is realized, functional requirements of different areas and photochromic response are dynamically fused through hierarchical adjustment of the spatial structure of an intervention area, and the visual performance of the lens is improved. And the material and microstructure data are synchronously output to a manufacturing link, so that the collaborative matching capability of the visual area partition is enhanced, and the requirements of a wearer on visual comfort and optical reaction are met.

The invention discloses a pupil adaptive red light regulation and control method and system based on EC film and light source collaboration, and the method comprises the steps: obtaining a visible light image of the eyes of a user through an image collection module, and extracting a real-time pupil state parameter through an image processing module; meanwhile, the ambient light sensing module obtains ambient light intensity data. The cooperative control unit receives the parameters and generates a luminous flux control instruction set containing a first control instruction and a second control instruction based on a safety evaluation model. The first control instruction drives the electrochromic film assembly to change the light transmittance of the red light, and the second control instruction adjusts the luminous intensity of the red light source. Through cooperative control of optical attenuation of the electrochromic film and luminous intensity of the light source, the luminous flux entering the retina can be accurately regulated and controlled in real time according to dynamic changes of pupils, the problem of potential retina light damage risk caused by using a light source with fixed intensity is effectively solved, and the safety of red light irradiation application is remarkably improved.

The invention discloses a pair of binocular visual function training glasses used after strabismus operation, and relates to the technical field of visual rehabilitation training. The interpupillary distance adjusting mechanism is mounted on the upper side of the inner wall of the glasses frame; the two angle adjusting mechanisms are mounted on the two sides of the bottom end of the interpupillary distance adjusting mechanism respectively; the angle adjusting mechanism comprises an adjusting frame, a pitch angle driving assembly, a rotating frame, a lens cone and a miniature display screen. The angle and the position of the visual training pattern displayed by the micro display screen can be dynamically adjusted according to the specific strabismus type and the postoperative recovery condition of a patient, so that the capacity of coordinating the two eyes of the brain visual center is actively exercised and awakened, recovery of the visual functions of the two eyes is promoted, and the recovery effect is improved. By means of the design, the defect of a fixed parameter training lens in the aspect of adaptability is overcome, the binocular cooperation function of the visual center is actively activated through personalized parameter adjustment, and the postoperative binocular fusion capacity and the recovery efficiency of stereoscopic vision are remarkably improved.

The invention discloses an illumination device, an illumination adjusting method and wafer detection equipment. The device comprises an illumination light source, an illumination adjusting device and a wafer detection device, wherein the illumination light source comprises a light-emitting surface for exporting illumination light to the outside; the light-emitting surface adjusting part is used for adjusting the position of the light-emitting surface; the objective lens group comprises a plurality of objective lenses which are different in multiplying power and can be mutually switched, calibration data are pre-stored in the controller and comprise pupil plane size information, pupil plane position information and light-emitting surface position information of the objective lenses different in multiplying power, and the controller is used for adjusting the position of the light-emitting surface by the light-emitting surface adjusting part according to the multiplying power information of the objective lenses and the calibration data. According to the invention, rapid and automatic matching between the illumination system and pupil planes of objective lenses with different multiplying powers is realized, and uneven illumination and stray light caused by mismatching of the pupil planes are effectively eliminated.

The invention provides a fatigue screening method based on critical flash fusion frequency and multi-modal eye features, and the method comprises the steps: processing an eye response image set, extracting the diameter of a pupil, and forming reference eye position data; and finally generating a user fatigue value representing the fatigue sensitivity of the user in combination with a CFF critical value model. In the normal driving process, the system continues to collect a current monitoring image through flickering irradiation of the light source, and monitoring eye position data are extracted from the current monitoring image. And comparing the monitored eye position data with a previously generated user fatigue value, if the monitored eye position data exceeds the user fatigue value, considering that the driver is possibly in a fatigue state, generating a fatigue signal by the system, and triggering a corresponding early warning mechanism. In combination with flicker frequency induced visual perception change and eye feature analysis, the limitation of only depending on eye movement or CFF is broken through, and the detection precision of central fatigue is improved. The method is completed through light source and image acquisition and is suitable for continuous fatigue monitoring in the actual driving process.

The invention discloses a scattering lens and a design method thereof, which are applied to the technical field of optical devices and visual correction, and aims to solve the technical contradiction that the traditional myopia control lens is difficult to give consideration to the central visual definition and the effective intervention of peripheral retina. Unit density, size and scattering angle are configured in a differentiated manner, and optical artifacts are suppressed by adopting aperiodic arrangement; a pupil adaptive modulation layer and a task mode switching module are combined to realize dynamic response of illumination and vision tasks; in design, based on individual physiological parameter reverse optimization, a multi-target genetic algorithm is adopted for iterative calibration, the peripheral retina contrast regulation and control efficiency is remarkably improved by more than three times, meanwhile, it is guaranteed that the contrast loss of a central area is lower than 5%, and the high-precision, personalized and all-weather myopia control effect is achieved.

Mounting device for receiving at least one mirror with at least one marking on a mirror surface for checking at least one pupil axis in an arc with sight and vertical plane of the chord movement, characterized in that at least one mirror can be firmly connected or screwed to the central part of the arc by means of the mounting, wherein at least one inclination angle of the mirror with respect to at least one axis in an angular range ≥ 0° can be selected in the orientation of a mirror relative to the central part.

The invention discloses an ocular surface illumination treatment device and method, and belongs to the technical field of ophthalmology medical equipment and treatment. The device comprises an infrared camera module, a computer terminal analysis control module, an optical power detection module, a mechanical adjustment module, a safety switch module and an illumination module. Wherein the infrared camera module comprises an infrared CCD (Charge Coupled Device) camera and a near-infrared light source which are arranged at a preset included angle and can collect eye images and transmit the eye images to the computer terminal, and the highest recording speed of the infrared camera module is not lower than 200 frames per second; and the computer terminal analyzes the image to obtain pupil positions, diameters and distances, and adjusts relative positions of a shielding device and a lens group in the light path of the illumination module, the axis of the light path and the distance between left and right lens cones, so that the central dark area of the annular light spot is matched and overlapped with the pupil. Eye images are collected and processed firstly, then light spots and the lens cone are adjusted, finally phototherapy and real-time monitoring are carried out, light can be prevented from entering the fundus, the treatment safety is improved, and the device is suitable for ocular surface diseases such as xerophthalmia.

An anamorphic near-eye display apparatus comprises a spatial light modulator with asymmetric pixels; an input transverse anamorphic lens; and an extraction waveguide that passes input light in a first direction to a lateral anamorphic reflector arranged to reflect the light back through the waveguide. Partially reflective extraction elements are arranged between the rear and front guide surfaces of the waveguide to extract the reflected light towards the pupil of an observer, maintaining the directionality of the fan of light rays from the spatial light modulator and anamorphic imaging system. A thin, transparent and efficient anamorphic display apparatus for Augmented Reality and Virtual Reality displays is provided.

The invention relates to the technical field of multi-point defocusing, in particular to an optical stable photochromic multi-point defocusing myopia control lens prescription generation method, which comprises the following steps of: based on eyes of a wearer, scanning cornea by using a non-contact optical device, extracting iris and pupil characteristics, monitoring an adjustment reaction, and performing three-dimensional reconstruction and multi-direction light path tracking analysis to obtain a myopia control lens prescription. And the distribution configuration of the annular belt is optimized, and the overlapping area is adjusted by combining the photochromic requirement, so that the fusion function partition structure is formed. Through collection of multi-source visual parameters and combination of spatial modeling and focusing path analysis, cut-through association of individual visual behaviors and structural attributes in lens customization is realized, functional requirements of different areas and photochromic response are dynamically fused through hierarchical adjustment of the spatial structure of an intervention area, and the visual performance of the lens is improved. And the material and microstructure data are synchronously output to a manufacturing link, so that the collaborative matching capability of the visual area partition is enhanced, and the requirements of a wearer on visual comfort and optical reaction are met.

The utility model provides a human eye simulation camera, and belongs to the technical field of camera shooting. The human eye simulation camera comprises a corneal lens, a simulation iris and a photosensitive element which are sequentially arranged along a photosensitive path, a simulation pupil is arranged in the center of the simulation iris, and a filtering medium for infrared cut-off is arranged between the simulation pupil and the photosensitive element. Therefore, according to the human eye simulation camera provided by the invention, unnecessary infrared light reflection can be eliminated by arranging the filtering medium, so that the recognition precision of an eye movement algorithm is improved.

Eye tracking is performed by determining an initial pupil position of a user in relation to a lens situated in front of the user, detecting a change in pupil position in relation to the lens to an updated pupil position in relation to the lens, and determining that the updated pupil position is outside a bounding box associated with the lens. The updated pupil position is a replacement pupil position with a replacement pupil position within the bounding box associated with the lens, and the updated pupil position is utilized for eye-tracking functionality. Eye tracking is also performed by determining that a first pixel associated with a gaze direction is outside a visibility region, identifying a replacement pixel within the visibility region, determining an updated gaze angle based on the replacement pixel, and performing eye tracking using the updated gaze angle.

To provide a balance function management system for balance function state information generation and a balance function rehabilitation program.SOLUTION: A memory configured to store at least one processor and at least one artificial neural network model that stores instructions executable by the processor and is executed on a computing device, wherein the at least one processor is configured to input frame images of n (where n is a natural number) videos obtained by photographing a subject through n cameras to the at least one artificial neural network model, At least one of information related to the coordinates of the head, the coordinates of the center of the pupil, and the phase change of the eyeball of the subject according to the order of the frame images of the m-th (m is a natural number from 1 to n) moving image may be acquired, and information related to the movement of the head and the movement of the eyeball for generating the balance state information or performing the balance rehabilitation program may be generated using the acquired information.SELECTED DRAWING: Figure 1

This invention provides a method for gaze estimation based on 2D data, belonging to the field of CV algorithms. On a single eye's 2D image data, 50 key points and the pupil center key point are labeled. Then, based on the top, bottom, left, and rightmost points from these 50 key points, the gaze point (gaze point) of the pupil center under normal eye-viewing conditions is estimated. The offset of the labeled gaze point from the current pupil center is calculated. This solves the difficulties in acquiring gaze estimation data and the tedious work of converting 3D data to 2D data. Thus, using 2D data achieves the effect of a model trained on 3D data, with low cost; the dataset can be created independently using only ordinary 2D image data.

The invention provides a display optimization method based on an HK effect, a control unit and head-mounted display equipment, and is applied to the technical field of near-eye optical imaging. The display optimization method comprises the following steps: acquiring real-time eye movement data of a user, wherein the real-time eye movement data comprises a pupil size and a fixation area; determining color features of the virtual image to be optimized in the fixation area, wherein the color features comprise image chromaticity, image hue angle and image brightness; on the basis of an HK effect model, according to the pupil size and the color features, the perception brightness of the user in the watching area is determined; if HK effect brightness compensation is determined to be performed according to the perception brightness, determining an HK effect brightness compensation amount for the fixation area based on the perception brightness and the pupil size; and controlling an optical display unit to generate and display an optimized virtual image according to the HK effect brightness compensation amount. According to the method, the fusion effect of the virtual content and the real environment is improved, and the high-standard visual experience requirement of a user in diversified and dynamic environments is met.