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102 results about "Fixation (visual)" patented technology

Fixation or visual fixation is the maintaining of the visual gaze on a single location. An animal can exhibit visual fixation if they possess a fovea in the anatomy of their eye. The fovea is typically located at the center of the retina and is the point of clearest vision. The species in which fixational eye movement has been found thus far include humans, primates, cats, rabbits, turtles, salamanders, and owls. Regular eye movement alternates between saccades and visual fixations, the notable exception being in smooth pursuit, controlled by a different neural substrate that appears to have developed for hunting prey. The term "fixation" can either be used to refer to the point in time and space of focus or the act of fixating. Fixation, in the act of fixating, is the point between any two saccades, during which the eyes are relatively stationary and virtually all visual input occurs. In the absence of retinal jitter, a laboratory condition known as retinal stabilization, perceptions tend to rapidly fade away. To maintain visibility, the nervous system carries out a mechanism called fixational eye movement, which continuously stimulates neurons in the early visual areas of the brain responding to transient stimuli. There are three categories of fixational eye movements: microsaccades, ocular drifts, and ocular microtremor. Although the existence of these movements has been known since the 1950s, only recently their functions have started to become clear.

Remote control tower air traffic controller visual fatigue monitoring method

The invention relates to the technical field of asthenopia monitoring and health monitoring, and discloses a remote control tower air traffic controller asthenopia monitoring method. The method comprises the following steps: synchronously collecting eye movement, electrocardio, workload and environment multi-modal data, generating a labeling label in combination with a visual function test, and constructing a high-dimensional feature data set; key features are extracted through principal component analysis dimensionality reduction, and real-time prediction of the asthenopia state is achieved through LightGBM model training; a sliding median filtering and fixation event merging strategy is adopted for the eye movement data, and baseline drift is removed and HRV features are extracted from the electrocardio data through Bior4.4 wavelet decomposition; generating an asthenopia label based on the weighted fusion visual function index; optimizing model hyper-parameters by using TPE; in real-time monitoring, the system outputs a trigger alarm according to the model. According to the invention, non-intrusive and high-precision asthenopia monitoring is realized, the system effectively adapts to the complex environment of a remote control tower, and the health management efficiency of controllers and the aviation operation safety are remarkably improved.
Owner:CIVIL AVIATION FLIGHT UNIV OF CHINA

Alzheimer disease early screening method

The invention relates to the technical field of cognitive impairment image processing, in particular to an Alzheimer's disease early screening method which comprises the following steps: extracting time and space coordinates of a fixation point from a visual glancing task participated by an Alzheimer's disease patient, recording direction change of a jumping behavior in the time and space coordinates, and calculating the direction change of the jumping behavior in the time and space coordinates; and generating jump behavior distribution data. According to the method, by extracting the time and space coordinates of the fixation point and combining the direction change of the jump behavior, comprehensive description of the dynamic law of the fixation behavior is realized, and high-dimensional support is provided for fine analysis of the fixation behavior of a patient in the task execution process. By constructing jump event distribution, track dynamic change and complexity quantification of the gazing path, the offset characteristic, the jump rule and the path fractal dimension in the gazing behavior are accurately revealed, and quantitative description of the abnormal behavior is provided for screening.
Owner:SHENZHEN LONGGANG DISTRICT THIRD PEOPLES HOSPITAL

English classroom attention regulation and control method combined with brain wave detection

The invention discloses an English classroom attention regulation and control method combined with brain wave detection, and relates to the technical field of English classroom attention regulation and control, and the method comprises the steps: obtaining a multi-channel brain wave signal of a student in English classroom learning through a brain wave collection device, collecting visual gazing track data through an eye tracker, and obtaining a brain wave signal; capturing a face image sequence through a camera; performing frequency band separation on the multi-channel electroencephalogram signal, extracting energy of a theta wave and a beta wave of a prefrontal lobe, and calculating a theta / beta power ratio; performing de-noising and clustering processing on the visual gaze track data, identifying an effective gaze interval, calculating a reciprocal of a gaze point distribution variance in unit time, generating a visual focusing stability parameter, performing action unit identification on a facial image sequence, extracting smile frequency, eyebrow intensity and blink period characteristics, and outputting a cognitive emotion state score; and constructing a multi-modal attention fusion evaluation model based on the theta / beta power ratio, the visual focusing stability parameter and the cognitive emotion state score.
Owner:JIANGSU VOCATIONAL INST OF ARCHITECTURAL TECH

Eye movement tracking method and device based on adaptive filtering and eye movement equipment

The invention relates to an eye movement tracking method and device based on adaptive filtering and eye movement equipment, and the method comprises the steps: obtaining an eye movement image of a to-be-tracked eyeball, and calculating a visual axis result of a current frame; performing feature comparison based on the eye movement image, and judging whether the eyeballs to be tracked move or not; when it is determined that the eyeballs to be tracked do not move, a visual axis result subjected to filtering processing is output; and when it is determined that the eyeballs to be tracked move, directly outputting a visual axis result. Through the eyeball tracking method and device, the state of the eyeball to be tracked can be determined through feature comparison, filtering processing is carried out according to the state of the eyeball to be tracked when fixation does not move, and the visual axis result is directly output when glancing moves, so that the problem that the requirements of sight calculation accuracy and quick response cannot be met is solved.
Owner:ZHEJIANG SHENGYI OPTICAL SENSING TECH CO LTD +1

Visual field detection equipment, system and method based on expanded reality

The invention relates to the technical field of intelligent visual detection, in particular to visual field detection equipment, system and method based on extended reality (XR), and the method comprises the steps that an image feature extraction module collects image data in real time, extracts features and eliminates optical distortion; the fixation deviation correction module analyzes eye movement data in real time, quantifies fixation deviation and triggers visual prompt and correction; the adaptive stimulation generation module dynamically encrypts to generate a test point image and adaptively adjusts the test point image according to visual field analysis and test requirements; the dynamic adjustment image module predicts and optimizes a test point presentation sequence according to image features and fixation points, automatically encrypts a high-probability defect area and quickly jumps to a key screening area; and the visual field defect identification module extracts image features, calculates the defect probability of each region in real time by using a Bayesian network in combination with subject response data, and locates a high-risk region. The system provides an efficient and accurate visual field detection scheme through the synergistic effect of multiple modules.
Owner:TONGJI HOSPITAL ATTACHED TO TONGJI MEDICAL COLLEGE HUAZHONG SCI TECH +1

Animal upper limb exercise training device and operation method thereof

The invention provides an animal upper limb movement training device and an operation method thereof, and the device comprises a data collection module which is used for collecting behavior data of a target animal; the controller is used for generating a first control instruction according to the behavior data; the executing mechanism comprises a mechanical arm and a plurality of touch objects; the plurality of touch objects are located in a contactable range of the target animal; the mechanical arm is used for driving the target touch object to change the position and the moving track according to the first control instruction; and for each touch object, the touch object is used for sending feedback information to the controller under the condition of confirming that the target animal touches the target touch object so as to instruct the controller to allocate an award to the target animal. According to the device, the animal training task process can be adjusted in real time by collecting the macaque visual gazing information, the multi-joint point pose information and the task performance information, and the animal exercise training efficiency is improved.
Owner:INST OF AUTOMATION CHINESE ACAD OF SCI

Fitting method of 3D eye model and electronic equipment

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.
Owner:HISENSE ELECTRONICS TECH SHENZHEN CO LTD

Aurora substorm identification method and device based on visual eye movement mode and deep learning

The invention discloses an aurora and substorm identification method and device based on a visual eye movement mode and deep learning, and mainly solves the problems that an existing aurora and substorm identification method is not high in accuracy and has no basis for model design. According to the implementation scheme, the method comprises the following steps: collecting eye movement data of a plurality of spatial physicians to generate expert eye movement fixation mode patterns of various types of aurora substorms; establishing an aurora sub-storm eye movement data set; a visual eye movement mode prediction module is further designed to learn a visual gazing mode of an expert, a visual mode embedded sub-storm sequence identification module is arranged, spatial physical knowledge and the visual gazing mode of the expert are integrated in the module, and finally a deep learning model suitable for aurora sub-storm sequence identification is constructed and trained. And identifying the aurora sequence by using the trained model. The method not only enhances the representation of the aurora and substorm features, but also improves the recognition accuracy of the aurora and substorm image sequence and the reasonability of model design, and can be used for automatic spatial physical event recognition.
Owner:XIDIAN UNIV +1

Explanatable video eye movement prediction method based on visual language large model

The invention provides an interpretable video eye movement prediction method based on a visual language large model, and belongs to the technical field of video eye movement prediction. According to the method, an attribution-guided visual decoder is added in a visual language large model architecture to form an interpretable video eye movement prediction model, and a special token: lt is added in a vocabulary of the language decoder; gt, heatmapgt; and predicting a saliency map, analyzing text description and back cognitive reasons of a salient region, and training an explainable video eye movement prediction model in a supervised fine tuning mode. According to the method, the current visual language large model which only can output texts can output pixel-level saliency prediction results at the same time, and the influence of a previous frame on an eye movement fixation point of a current frame is considered through text instruction construction and space-time residual error complementation module design in a visual decoder; the method is a universal network architecture method, can be suitable for a current mainstream visual language large model of an autoregression architecture, and has a wide application prospect.
Owner:PEKING UNIV

Display optimization method based on HK effect, control unit and head-mounted display equipment

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.
Owner:HUAQIN TECH CO LTD

Binocular visual field evaluation through a cyclopean non-euclidean framework

PendingUS20250331712A1Eye diagnosticsSpatial perceptionJacobian analysis
A binocular visual field (VF) testing system and a method employing spherical (non-Euclidean) geometric modeling and eye-tracking technology to generate cyclopean visual field maps are disclosed. The system projects dichoptic stimuli to each eye independently at controlled fixation distances and dynamically records vergence responses using eye tracking. A non-Euclidean spatial encoding model based on logarithmic spirals and Jacobian analysis is applied to the resulting binocular data, enabling three-dimensional topographic field mapping. This approach extends traditional monocular field testing by accounting for retinal curvature, binocular integration, and fixation depth effects, resulting in volumetric visual field models more representative of real-world spatial perception. The system includes hardware (BINOSCOPE) and software modules that implement real-time depth encoding, topological mapping, and boundary detection of peripheral visual fields.
Owner:THOR GAUTAM

Self-adaptive subdivision LOD method and system oriented to virtual reality and based on perceptual model

The invention belongs to the field of computer graphics, and discloses a self-adaptive LOD subdivision method and system oriented to virtual reality and based on a perceptual model. The method comprises the following steps: firstly, researching factors influencing visual perception, establishing a perception model BD-castleCSF fused with stereoscopic vision by combining binocular parallax, and dynamically dividing a rendering region; then, on the basis of a discrete LOD initial order processing grid model, introducing a mosaic technology to execute grid subdivision, calculating a downsampling factor according to a perception model, dynamically adjusting the subdivision degree, and proposing a perception adaptive subdivision LOD algorithm; experimental results show that compared with a traditional static rendering method, the LOD switching frequency of the method is reduced by 67%, the effective subdivision triggering rate is improved by 19.9%, the redundant triangular surface compression rate is improved by 11.9%, and the frame time standard deviation is reduced. Therefore, the method can dynamically and smoothly adjust the model details under different watching conditions, guarantees the consistency of visual effects, and remarkably improves the rendering efficiency. According to the method, an efficient and adaptive rendering solution is provided for the field of virtual reality.
Owner:QINGDAO INST OF COMPUTING TECH XIDIAN UNIV

Paracenter fixation detection method and device, electronic equipment and storage medium

The embodiment of the invention provides a para-center fixation detection method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring an eye fundus image of a to-be-detected person; determining macular center position information corresponding to the eye fundus image according to the eye fundus image of the to-be-detected person; according to the macula lutea center position information and the preset macula lutea fixation area, the para-center fixation type corresponding to the fundus image is determined, through the quantification technology and the visual calculation technology, analysis of the fundus image is rapidly completed, the examination time is shortened, the diagnosis efficiency is improved, whether a patient has para-center fixation or not can be more accurately judged, and the patient experience is improved. And errors caused by subjective judgment are reduced.
Owner:EVISION TECH (BEIJING) CO LTD

System and method for subjective floater assessment

An automated system for assessing a subjective severity of a patient-perceived floater in an eye of a patient includes a display screen, a patient-operated feedback device, and a floater assessment system (FAS). The FAS is configured to present a visual target on the display screen at a primary fixation point, and possibly at multiple secondary fixation points arranged radially around the primary fixation point. The FAS also receives feedback signals from the patient-operated feedback device in response to an activation thereof by the patient. The feedback signals are indicative of a location and possible size of the patient-perceived floater in the patient's field of vision. Additionally, the FAS calculates a numeric floater severity score using the feedback signals that quantifies the subjective severity of the floater(s).
Owner:ALCON INC

Emotional feature recognition system and method for classroom teaching

PendingCN121708661ABiological modelsMultiple biometrics useFacial analysisMedicine
The invention provides an emotional feature recognition system and method for classroom teaching. The method comprises the following steps: acquiring facial image data and behavior time sequence data of a student in a classroom teaching process through a camera after the student clearly knows and agrees to authorize; determining dynamic expression features of the student through a preset facial analysis model according to the facial image data; on the basis of a head posture change sequence and an eye fixation focus track extracted from behavior time sequence data, constructing concentration indexes and confusion indexes of students in different teaching links through multi-feature fusion; and when it is detected that a preset condition is met, generating an emotional feature tag of the student in classroom teaching based on the dynamic expression feature, the concentration index and the confusion index, and pushing the emotional feature tag to a teacher terminal for visual display. By adopting the scheme of the invention, multi-modal feature fusion analysis of the classroom state of the student can be realized, so that the accuracy of classroom teaching regulation and control is improved.
Owner:SHENZHEN ZHONGKE WANGWEI TECH CO LTD

Driving ability evaluation system and method based on eye movement analysis

The invention discloses a driving ability evaluation system and method based on eye movement analysis, and relates to the technical field of driving ability quantitative evaluation, and the method comprises the steps: obtaining driving parameter data and eye movement data when a tested person completes a simulation driving task on a simulation driving platform; performing data alignment and preprocessing on the driving parameter data and the eye movement data on a time axis; based on the preprocessed eye movement data, respectively calculating a fixation point percentage in each region of interest, a unit time glancing amplitude of the tested person, and a visual entropy value, a fixation frequency and a nearest neighbor index corresponding to the simulated driving task of the tested person in each stage; and the visual information search efficiency and the cognitive condition change of the tested person in the driving process are evaluated. The technical problem that in the prior art, due to subjective deviation and single data dimension, the attention level and the response speed of a driver in the actual driving process cannot be comprehensively and accurately reflected is solved.
Owner:NAVAL AVIATION UNIV

Autonomous recovery method and system for underwater robot based on binocular vision and multi-source fusion

PendingCN122331581AFar distanceControl theory
This invention relates to the field of underwater robot technology, specifically to an autonomous recovery method and system for underwater robots based on binocular vision and multi-source fusion. The system includes an AUV and a recovery platform. The AUV is equipped with a binocular camera, IMU, DVL, and USBL. The recovery platform is equipped with a guide light array, an auxiliary light source, a pressure sensor array, and a recovery cage. The method includes four stages: long-distance repositioning, high-precision visual guidance, multi-source fusion control in the visual failure zone, docking determination, and fixation. In the visual failure zone, the system activates the bottom auxiliary light source and constructs a multi-source fusion framework. It deeply fuses the two-dimensional deflection angle of the auxiliary vision, the high-frequency attitude of the IMU, the three-dimensional velocity of the DVL, and the absolute position of the USBL, and outputs the six-degree-of-freedom pose of the AUV in real time. This ensures end-effector attitude stability, improves system robustness and environmental adaptability, and solves the problems of not being able to provide complete attitude information and poor anti-disturbance capability in the near-range visual failure zone.
Owner:SU ZHOU SHI HANG ZHI NENG KE JI YOU XIAN GONG SI

Bionic visual thinking chain cross-modal model based on eye movement tracking, visualization system and method

The invention relates to a visual thinking chain, in particular to a bionic visual thinking chain cross-modal model based on eye movement tracking and a visualization system and method, and solves the technical problems that an existing visual thinking chain model lacks real visual thinking process simulation and is difficult to establish a visual thinking chain conforming to a real human visual thinking mode. According to the bionic visual thinking chain cross-modal model based on eye movement tracking, the to-be-detected image eye movement gazing area image blocks from eye movement tracking data and the gazing sequence and the gazing duration of the to-be-detected image eye movement gazing area image blocks are adopted, and the dynamic characteristics and the time sequence mode of human visual cognition can be truly reflected; the big language model is made to process visual information step by step according to the sequence of human eye movement tracks, a human real visual thinking mode is simulated, and therefore a real visual thinking chain is established; besides, an eye movement vector prediction matrix and an eye movement prediction text answer can be obtained, so that a bionic visual thinking chain and a text thinking chain are output at the same time, and the interpretability of the thinking process after the text and the image are fused is improved.
Owner:XIAN INST OF OPTICS & PRECISION MECHANICS CHINESE ACAD OF SCI

Individualized alcohol desire evaluation method and system based on virtual reality

The invention provides an individualized alcohol craving evaluation method and system based on virtual reality, and the method comprises the steps: firstly constructing an alcohol clue exposure scene, and recording the first baseline alcohol craving degree of a subject through a visual simulation scoring method; a subject freely moves in a virtual scene, and meanwhile, relevant data are obtained through eye movement tracking and motion capture technologies, and the relevant data comprise the watching duration and frequency of alcohol clues and non-alcohol clues and the picking duration and frequency of the alcohol clues. And after the preset time, recording the second baseline alcohol desire degree of the subject. According to the method, eye movement tracking and motion capture data are analyzed, the fixation and pickup ratio of alcohol clues is calculated, the attention deviation and approaching behavior of a subject are evaluated in combination with the baseline desire degree, and finally an individualized alcohol desire evaluation report is generated. The method has remarkable advantages in the aspects of improving the accuracy, objectivity and individualization degree of evaluation, and important support and basis are provided for diagnosis and treatment of alcohol dependence.
Owner:河南医药大学第二附属医院(河南省精神病医院)

Animation scene fixation point rendering system based on eye movement tracking

The invention relates to the technical field of animation rendering, in particular to an animation scene fixation point rendering system based on eye movement tracking, which comprises a semantic attention modulation module, a rendering area dynamic construction module and a layered sample distribution rendering module, the semantic attention modulation module generates an attention diffusion diagram of semantic modulation based on the time sequence semantic importance maps of the current animation frame and the preorder frame and the current instantaneous fixation point data; a rendering area dynamic construction module adaptively constructs a core rendering area and a gradual transition rendering area according to the attention diffusion diagram; and the layered sample distribution rendering module implements ray tracing sampling of different sample numbers on the core rendering area, the gradual transition rendering area and the background area on the GPU. Compared with the prior art, the image quality of the gazing area is improved under the limited computing power, and the overall visual transition is kept smooth.
Owner:FUZHOU COLLEGE OF FOREIGN STUDIES & TRADE

Optical path generation device based on eyeball, determination method of visual axis equation set and eye movement tracking method

The technical scheme of the invention discloses an eyeball-based light path generation device, a determination method of a visual axis equation set and an eye movement tracking method. The eyeball-based light path generation device comprises an image acquisition assembly; a first adjusting assembly to an Nth adjusting assembly; first to Nth reflectors; the camera is used as a watching target; wherein when a user watches the lens of the camera serving as the watching target, the image acquisition assembly is used for acquiring a user eye image in a mirror surface; the first adjusting assembly to the Nth adjusting assembly are respectively used for adjusting the spatial positions of the first reflective mirror to the Nth reflective mirror; the camera serving as a watching target is used for collecting images of eyes of a user; the user eye image in the mirror surface and the user eye image are used for determining a light path model; the light path model is used for determining a visual axis equation set; the visual axis equation set is used for realizing an eye movement tracking method.
Owner:张也弛

Dynamic virtual image plane adjustment device and method based on multi-image-plane eye movement tracking

A dynamic virtual image plane adjustment device based on multi-image plane eye movement tracking, belonging to the technical field of visual training. The multi-image plane eye movement tracking system uses an infrared camera to capture the user's eye image, processes it to obtain accurate fixation point coordinates, and transmits the data to the control system; the control system receives the fixation point coordinates, analyzes the required image plane depth at present, generates a lens adjustment instruction, and sends it to the lens-screen adjustment system; the lens-screen adjustment system drives the lens and the screen to make physical adjustments, and at the same time uses a sensing feedback mechanism to monitor the adjustment accuracy in real time to ensure that the virtual image position matches the user's fixation focus; the display system combines the depth information provided by the control system to dynamically adjust the animation screen so that it changes synchronously with the user's fixation depth. And a dynamic virtual image plane adjustment method based on multi-image plane eye movement tracking is provided. The present invention realizes the real-time tracking and dynamic adjustment of the user's visual focus, and meets the accurate visual interaction requirements in multi-depth scenarios.
Owner:ZHEJIANG UNIV OF TECH

Method for calculating corrective power of eyeglass lens

To provide a method for calculating the corrective power of an eyeglass lens that calculates a transmitted-light wearing power on the basis of a visual axis when the lens is fitted into a curved eyeglass frame having a face-form angle and a pantoscopic angle, and calculates a corrective power corresponding to an accurate prescription power on the basis of the transmitted-light wearing power.SOLUTION: The method for calculating corrective power of an eyeglass lens includes the steps of: executing, by a computer device, a simulation of transmitting light rays through an eyeball model and a lens arranged in front of the eyeball model to acquire data on an ocular (optical) axis of the eyeball model; calculating position data of a fovea within the eyeball model using the data on the ocular axis; changing a fixation-point position according to a face-form angle and executing, on the basis of a new fixation point, a simulation to obtain light rays that pass along a visual axis connecting the fovea position data and a nodal point; calculating a transmitted-light wearing power on the basis of the obtained light rays; and calculating the corrective power on the basis of the transmitted-light wearing power.SELECTED DRAWING: Figure 9
Owner:TOKAI OPTICAL HOLDINGS CO LTD

Apparatus, method, and program for searching and training preferred retinal locus of patient with visual field damage

Provided are a device, method and program for searching and training a preferred retinal locus of a patient with visual field damage. The method comprises the steps of: providing first stimulation to a patient by means of a stimulation providing device linked to the device; receiving, from the patient, a response with respect to the first stimulation by means of the stimulation providing device; if the response is correct, analyzing the movement of the patient's head corresponding to the first stimulation; specifying a preferred retinal locus on the basis of the analysis result; performing training associated with the patient's central fixation; and performing training associated with reinforcement of the patient's preferred retinal locus.
Owner:THE ASAN FOUND +2

Visual training instrument with phototherapy function, control method and system thereof and storage medium

The invention relates to a visual training instrument control method and system with a phototherapy function, a terminal and a medium, and relates to the technical field of phototherapy, and the method comprises the steps: obtaining the diopter information of a user; performing diopter compensation adjustment on the light source according to the diopter information to obtain a reference light path; controlling the light source modulation plate to carry out spatial modulation on the reference light path to obtain a light distribution image; generating a fixation target in the central area of the light distribution image, and fusing a fixation target light path with the reference light path through a reflective mirror and a semi-transparent and semi-reflective mirror to obtain a fused light path; controlling the fixation target to move back and forth along the visual axis direction of the fusion light path; correcting the position of the fixation target and the focusing parameter of the light source according to the eye image of the user; and based on the corrected focusing parameter, adjusting the output parameter of the light source in real time, so that the irradiation intensity output by the light source is synchronous with the eye adjusting state of the user. The visual adjustment capability can be improved, and the visual function recovery effect can be improved.
Owner:NINGBO MING SING OPTICAL R & D

A method for assessing the risk of Alzheimer's disease based on visual memory assessment

The present invention discloses a method for assessing the risk of Alzheimer's disease based on visual memory evaluation. Step 1: Collect eye movement images of Alzheimer's disease patient groups and normal people. Step 2: Generate a fixation heat map as a test picture for each eye movement image to generate a sample set. Step 3: Use a convolutional neural network to extract the features of the fixation heat map to form a test sample feature vector. Step 4: Obtain the common internal feature representation of each test picture. Step 5: Extract the common external modality representation. Step 6: Use the common feature representation for binary classification, that is, use the finally extracted common feature representation as the input of a fully connected network to perform binary classification processing on the eye movement data to be tested corresponding to Alzheimer's disease patients and normal people respectively. Compared with the prior art, the eye movement data features used in the present invention are more objective and convenient, and can effectively improve the accuracy of model detection and solve the problems of clinical data loss and insufficiency.
Owner:SHANGHAI WULIDUO TECH CO LTD

Small animal low-stress caudal vein injection fixing device

The invention belongs to the technical field of animal experiment instruments, and particularly relates to a small animal low-stress tail intravenous injection fixing device which comprises a main body fixing system, an intelligent partition type air bag pressure reduction system and a tail near-infrared visual operation system. The main body fixing system comprises a transparent cylindrical shell of which one end is open and the other end is closed, and an adjustable end cover fixed at the open end of the transparent cylindrical shell, and the center of the adjustable end cover is provided with a through hole for leading out a mouse tail; by integrating the intelligent partitioned airbag pressure reduction system and the tail near-infrared visual operation system, remarkable comprehensive benefits are brought. The core of the method is that the high tension state of the animal back muscle caused by traditional rigid fixation is fundamentally eliminated, so that the non-specific physiological uptake of 18F-FDG in the muscle is greatly reduced, the background noise of a PET image is remarkably reduced, the signal-to-noise ratio is improved, and the method is particularly beneficial to accurate qualitative and quantitative analysis of tiny focuses in a spine and a retroperitoneal region, and has a wide application prospect. And the data reliability is greatly improved.
Owner:SHANXI MEDICAL UNIV

Visual field intensity modeling and parameter optimization method based on directional glancing eye movement task

The invention relates to a visual field intensity modeling and parameter optimization method based on a directional glancing eye movement task, and the method comprises the steps: carrying out the parameterization design and data collection of the directional glancing task, constructing a visual field intensity model covering the three stages of central fixation, green spot glancing and red spot maintenance, carrying out the back-stepping of an individual visual field parameter based on maximum likelihood estimation, and carrying out the optimization of the visual field intensity. And performing distribution modeling and type division on multiple tested parameters, and optimizing task parameters through simulation and discrimination performance. According to the method, a unified space-time visual field intensity model is established, fine splitting of different cognitive mechanisms is realized, a task parameter optimization closed loop of simulation-backstepping-evaluation-screening is constructed, the distinguishing efficiency of different visual fields and execution control subtypes is remarkably improved, and the method has the advantages of being high in robustness and high in robustness. The method overcomes the defects of dependence on empirical parameters, insufficient cognitive interpretation and low crowd discrimination in the prior art, and can be used for quantitative evaluation and targeted task design of visual attention and eye movement control functions.
Owner:HANGZHOU DIANZI UNIV

Identification of visually degenerative symptomatic floats

Particular embodiments disclosed herein include projecting an orientation grid into an eye of a patient. While projecting the orientation grid into the eye of the patient, the computer system captures one or more images of the retina of the eye of the patient, such as using SLO. A fixation grid may also be displayed indicating the patient to fix the fixation target. The computer system superimposes the orientation grid onto the one or more images to obtain one or more output images. The one or more output images are displayed to at least one of the surgeon and the patient. The surgeon and / or patient may look back the output image and communicate the location of the float using the coordinates of the orientation grid.
Owner:ALCON INC