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150 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

Systems, devices, and methods for imaging a subject’s retina and analyzing of retinal images

PendingUS20250057414A1OthalmoscopesOphthalmologyRetina
A monocular and / or a binocular system may be used to generate one or more images, or videos, of a subject's retina by scanning in one or two directions in one or two dimensions to, for example, measure and / or report fixation, smooth pursuit, and / or saccadic responses of the subject's eye. The scanning and / or image generation process may be optimized to correct for distortions in the subject's eye and / or improve SNR among one or a plurality of retinal images. In some cases, the retinal images may be used to train a retinal feature detection model and / or algorithm that may be used to make predictions and / or inferences regarding a visual pattern showing features of subsequently received retinal images. These models and / or predicted patterns present within the models may be used by the retinal feature detection model and / or algorithm to monitor features of the retina and, in some instances, track voluntary and / or involuntary eye motion.
Owner:C LIGHT TECHNOLOGIES INC

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

Vision assistance method, storage medium and vision assistance device

The invention discloses a vision assisting method. The method comprises the following steps: presenting a visual field image to a user; determining a fixation point of the user in the view image; determining a fixation area of the user according to the fixation point; extracting the view image in the gazing area range as a view sub-image; processing the view sub-image to obtain an enhanced image with an enhanced visual effect; and presenting the enhanced image to the user. The invention further discloses a storage medium and a vision assisting device. According to the embodiment of the invention, where the eyes of the user see, the display content in the area which is seen around the eyes is enhanced in visual effect and presented to the user. Therefore, the pertinence of vision assistance for the low-vision user is remarkably improved, and the practical use requirements of the user are better met. And the user does not need to manually carry out any adjustment in the whole process, so that the two hands of the user are liberated.
Owner:BEIJING JADEBIRD VISION TECH CO LTD

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

Man-machine interaction system and method based on eye movement tracking

The invention discloses a man-machine interaction system and method based on eye movement tracking, and belongs to the technical field of man-machine interaction. According to the method, the eye movement data of the simulation personnel are collected in the specific simulation environment and analyzed, and the attention degrees of the simulation personnel on different areas in the simulation environment can be known by analyzing the distribution of the fixation points in the analysis process, so that the simulation personnel can be more accurately simulated. Different attention degrees reflect the importance of the area to the operation and cognition of the simulation personnel, and then the analysis of the glancing trajectory can reveal the visual search mode of the simulation personnel, which is crucial to the evaluation of the information acquisition efficiency of the simulation personnel in the complex simulation environment, and based on the cognition, the analysis of the glancing trajectory is very important. A researcher starts to explore how to combine an eye movement tracking technology with a simulation training system, and the man-machine interaction efficiency is improved.
Owner:NAVAL AVIATION 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

Visual acuity testing device and method thereof

ActiveJP2025014101ARefractometersSkiascopesEyepieceOcular axial length
To provide a visual acuity testing device capable of improving analysis accuracy of myopia, and a method thereof.SOLUTION: A visual acuity testing device comprises: an ocular axial length measuring optical path including an eyepiece, using the eyepiece as a common member, installed parallel thereto, and used to measure an ocular axial length of a subject's eye; a refractivity detection optical path used to acquire ametropia information of the subject's eye; a target optical path used to provide a fixation image to the subject's eye and to cause the subject's eye to gaze stably; and eye position monitoring optical path used to perform three-dimensional localization of the subject's eye and collect imaging information of the subject's eye. Besides acquisition of the ametropia information of the eye, the visual acuity testing device can acquire a parameter of the eye by measuring anterior and posterior eye areas.SELECTED DRAWING: Figure 1
Owner:NINGBO FLO OPTICAL TECH DEV CO LTD

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

Display system interface using visually-evoked cortical potentials

A brain-computer interface system includes a video processor for producing a display signal, a temporal controller for producing a plurality of repetitive visual stimulus (RVS) signals with different respective temporal aspects, a display device that receives the display signal and displays a corresponding image on a plurality of different display regions and receives the RVS signals and displays corresponding RVS in respective ones of the display regions, an electroencephalographic (EEG) sensor for sensing a visually-evoked cortical potential (VECP) signal in a user with eyes fixated on a viewed one of the display regions, and a VECP processor for processing the VECP signal to identify the respective temporal aspect of the respective RVS of the viewed display region to estimate the eye fixation location. The RVS are generated independently of the display update / refresh rate and at sufficiently high frequencies to avoid flicker perceptible to the user.
Owner:GOVERNMENT OF THE US AS REPRESENTED BY THE SECRETARY OF THE AIR FORCE +1

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

Hanging frame structure for mounting visual lens

The utility model discloses a hanging rack structure for visual lens installation, which relates to the technical field of visual lens installation and comprises a hanging rack connecting cylinder, a connecting mechanism is arranged on the hanging rack connecting cylinder, and the connecting mechanism comprises a hanging rack and a hanging rack, the locking assembly is arranged in the middle of the hanger connecting cylinder, and the locking assembly is used for locking the position of the visual lens; the telescopic rod assembly is arranged on the side edge of the locking assembly, and the telescopic rod assembly drives the locking assembly to move through stretching out and drawing back; and the driving assembly is arranged on the telescopic rod assembly, and the driving assembly is used for driving the telescopic rod assembly to stretch out and draw back. According to the utility model, through the arrangement of the connecting mechanism, the driving assembly can be conveniently utilized to drive the telescopic rod assembly to extend or retract, so that the locking assembly moves, the locking assembly locks the position of the lens, the lens is well fixed and is prevented from falling off easily, and meanwhile, the clamping assembly is matched, so that the lens is conveniently and rapidly pre-fixed.
Owner:SHIJIAZHUANG FENGXING ELECTRONIC TECHNOLOGY CO LTD