55 results about "Saccadic eye movement" patented technology

The invention provides a visual fatigue relieving method based on ambient light self-adaption and an AI algorithm, and relates to the technical field of visual health protection. The visual fatigue relieving method based on ambient light self-adaption and the AI algorithm comprises the following specific steps: S1, data acquisition: acquiring a user eye image sequence in real time through a high-frame-rate camera; and S2, parameter extraction: when the user uses the eye for the first time, testing the eyes by combining the adjustable light source with ambient light. Multi-dimensional features (such as eyeball movement, blinking mode, pupil function and the like) of eyes are collected in real time through a high-frame-rate camera, an individualized base line is established and a fatigue rate value is dynamically calculated in combination with data of an ambient light sensor, and conversion from passive response to active prevention is realized. Through a hierarchical intervention strategy (such as brightness adjustment, blue light control and forced rest), the visual load is remarkably reduced, the intervention efficiency is improved, and the problem of insufficient adjustment hysteresis and individual adaptability in the prior art is solved.

The invention belongs to the technical field of medical equipment. According to the dynamic target control method and system based on dual-band OCT cooperative imaging, a dual-band OCT cooperative scanning strategy is adopted, a patient is assisted in watching through a built-in fixation target during near-infrared preview, and fixation target parameters are recorded; a scanning target spot is generated during visible light preview adjustment, the position of the scanning target spot is adjusted through fixation target parameters, the exposure time of a patient under visible light is shortened, the dazzling feeling is reduced, and the comfort level of the patient is improved; in the formal scanning stage, the scanning light beam generates a dynamic scanning target spot and periodically stays at a fixed position to guide a patient to watch, the problem that visible light shields a built-in target is solved, and eyeball movement artifacts are effectively reduced.

An electronic device may have a display for displaying image content. Head-mounted support structures in the device may be used to support the display. The electronic device may have an eye monitoring system that detects eye saccades and eye blinks. Control circuitry in the electronic device may coordinate operation of the display with periods of suppressed visual sensitivity that are associated with the saccades and blinks. By making adjustments to display circuitry and image content during periods of suppressed visual sensitivity, potentially visually obtrusive changes to displayed images can be hidden from a user of the electronic device. Adjustments to display operation may help reduce burn-in effects, may help reduce power consumption, and may otherwise improve device performance.

A gaze-trajectory-based eye movement data visualization method and apparatus, and a storage medium. The method comprises: by means of collected eye movement data, obtaining a tested gaze point position, gaze point sequence, and gaze point trajectory (S110); according to the angle of a connecting line between two neighboring gaze points, mapping the connecting line between the two neighboring gaze points into a visualization graph (S130); and within the visualization graph, connecting the vertex of the connecting line corresponding to each angle, forming a visualization graph of eye movement glancing direction frequency (S140). The visualization graph of eye movement glancing direction frequency is used to provide an eye movement gaze trajectory algorithm, allowing for visually and accurately reflecting individual eye movement gaze features.

The invention relates to an eyeball movement training control method and system based on multi-mode light spot guidance, and the method employs the multi-directional distribution of light-emitting points, controls the light-emitting points to be lighted at a constant angular velocity in order through a control program or instruction, or is lighted based on a pseudo-random number algorithm, and the lighted light-emitting points actively guide the eyeball movement of a trainee. The purpose of eyeball movement training is achieved. The lamp beads are sequentially lightened at a constant angular speed to guide eyeballs to do smooth following motion, so that the continuous tension state of ciliary muscles is relieved, and the ciliary muscles are relaxed; a discontinuous light spot coordinate sequence is generated based on a pseudo-random number algorithm, eyeballs are guided to rapidly switch fixation points in the horizontal direction, the vertical direction and the oblique direction, the dynamic adjustment ability of ciliary muscles is trained, variable parallax is generated, and the lens adjustment sensitivity is enhanced. The light-emitting points are physical LED light or virtual dynamic sighting marks generated by running programs or instructions through computer equipment with a displayer, the positions of the light-emitting points do not need to be moved, the device does not need to be worn, and a user can use the device conveniently.

This invention relates to the field of image edge detection technology, specifically to an eyelid detection system for assessing the orbicularis oculi muscle movement function in patients with myasthenia gravis. The system includes a video frame acquisition module, an iris morphology reconstruction module, an interference level acquisition module, a gradient map correction module, and an eyelid edge detection module. By acquiring video frame data of the patient's eyes, the system corrects iris deformation in the iris region of the target image frame corresponding to eye movement. Based on the corrected iris region, the system analyzes the interference of iris morphology on eyelid edge detection, determines the degree of iris deformation interference, and then corrects the gradient values ​​of gradient points in the same area corresponding to the corrected iris region in the gradient map of the target image frame during eye movement, obtaining a corrected gradient map. Based on the corrected gradient map, the system determines the patient's eyelid edge detection result. This invention effectively improves the accuracy of eyelid edge detection for patients.

A method for determining a type of characteristic eye movement of the eyes of a patient (P) comprises the steps of providing the patient (P) with an optokinetic stimulus (OS) for the characteristic eye movement, generating a medical image (BD) of the brain of a patient (P) also including the eyes (E) of the patient (P). The method also includes the steps of determining an amount (A-DP) of a displacement of an optic nerve (ON) of the patient (P) based on the medical image (BD) and determining a type of a characteristic eye movement based on the velocity of eye movement for the determined amount (A-DP) of displacement of the optic nerve (ON). Besides, a method for training an artificial intelligence based algorithm (A) for determining an amount (A-DP) of a displacement of an optic nerve (ON) of a patient (P) based on at least one medical image (BD) is described. Further, an eye movement-determination device (10) is described. Furthermore, a medical imaging system (1) is characterized.

The application protects an iris segmentation method using Purkinje reflection and dynamic three-dimensional model, which comprises the following processes: a plurality of infrared light sources are arranged around a camera, and a plurality of frames of eye images with reflection points are obtained from a video sequence captured by the camera; the eye center is calculated by using the position of the reflection points, and an initial three-dimensional eye model is established; the three-dimensional coordinates and posture of the eye center are adjusted according to the change of the inner and outer canthus positions, and the three-dimensional eye model is updated; in the updated three-dimensional eye model, the iris radius is obtained according to the eye center, and a three-dimensional iris circle equation is established; the three-dimensional iris circle is projected onto a two-dimensional image plane to obtain iris ellipse parameters, and an iris segmentation result is generated. By constructing a dynamic three-dimensional model, combining with deep learning to detect eye model parameters including the eye center, the iris radius and the iris center, calculating the three-dimensional space optical axis and the iris ellipse, the iris segmentation adapting to the head posture change and the eye movement is realized.

1. The name of the design product: eye movement assembly of human eye movement simulation device. 2. The use of the design product: the whole product is used to simulate the movement of human eyes, suitable for medical education, eye movement tracking test, optical product quality inspection, AR\VR device evaluation field; locally used for eye movement assembly of human eye movement simulation device. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: design 1 perspective view 1. 5. Design 1 is designated as the basic design. 6. Other circumstances that need to be explained: this patent application protects the local design: the part protected in design 1, design 2 and design 3 is the part drawn in solid line, the part drawn in dotted line in the view does not constitute the part protected by the local appearance.

An oculography method, in particular a smart-glasses oculography method for pairs of augmented reality smart glasses and / or for pairs of virtual reality (VR) smart glasses / VR headsets. The method includes at least one oculography step in which at least one eye movement of an eye, in particular an eye of a smart-glasses user, is ascertained, in particular tracked, by a subset of laser feedback interferometry sensors of an LFI sensor array which is associated with the eye. In at least one selection step, which precedes the oculography step in time, a selection of at least one LFI sensor provided for performing the oculography step, which follows in time, is made based on a parameter comparison of test measurements of multiple LFI Sensors of the LFI sensor array.

The invention relates to a generation method for automatically generating an eyeball movement data set (30) for training artificial intelligence (100) to classify a digital eyeball movement video (110), comprising the following steps:-providing an eyeball movement model (20) simulating a biological correlation between at least one input parameter (22) and an eyeball movement induced thereby, at least one influence parameter (24) is taken into account,-setting at least one influence parameter (24) relating to a certain medical defect (MD) for the provided eyeball movement model (20),-setting at least one input parameter (22) relating to a certain eyeball movement test for the provided eyeball movement model (20),-determining the eyeball movement model (20) according to the set influence parameter (24) and the input parameter (22). The method comprises the following steps:-generating an eyeball movement data set (30) using an eyeball movement model (20),-storing the generated eyeball movement data set (30) together with medical defects (MD) associated with influencing parameters (24) as tags in an eyeball movement database (40),-repeating the steps of inputting, generating and storing, and altering the at least one influence parameter (24) and / or the at least one input parameter (22).

The invention provides a Parkinson's disease freezing gait prediction method and device based on eye movement characteristics, equipment and a medium. The method comprises the following steps: acquiring target information corresponding to a target object; the target information comprises target demographic data, target clinical features and target eyeball motion parameters collected at a certain time point, and / or target demographic data, target clinical features and target eyeball motion parameters continuously collected according to a preset frequency within a preset time; and inputting the target information into the target frozen gait prediction model, so that the frozen gait prediction model analyzes and processes the target information to obtain a static frozen gait risk assessment result and / or a dynamic frozen gait risk assessment result corresponding to the target object. According to the scheme, through multi-dimensional integration and collaborative verification of traditional clinical phenotypes and objective indexes of eye movement, non-invasive efficient evaluation of frozen gait risks is achieved, and objective basis and key technical support can be provided for early diagnosis and early treatment of disease subtypes.

The present invention discloses an early screening device and screening system for Parkinson's disease based on eye movement, which belongs to the technical field of Parkinson's behavioral feature recognition. The early screening device and screening system for Parkinson's disease based on eye movement include a shell, one side of the upper end of the shell is provided with an operating screen for a built-in screening system, one side of the interior of the shell is provided with a storage cavity, and the lower end of the storage cavity is provided with a telescopic rod. The present invention solves the problem that the existing early screening system for Parkinson's disease has poor adaptability to different patients during the screening process. The second support arm of the present invention can drive the fixed frame at the front end to rotate after being driven by a motor, and adjust the fixed frame to face the seat cushion and the movable cavity respectively. A patient sitting in a wheelchair can move directly to the seat cushion position. Finally, the rotation of the fixed frame can cope with patients sitting on the upper end of the seat cushion and patients lying on the bed and close to the movable cavity position.

The invention relates to a method of processing data representative of a person's binocular motricity, the method comprising the following steps: —stimulating the binocular motricity of a person by means of a binocular motricity stimulation device (21) configured to specifically stimulate saccades, vergences or a combination of both or of a reading test (22); physical stimuli in 3D real space seen with both eyes naturally (without artifices); acquiring the movement of the right eye (RE) and left eye (LE) of a person (P) during said stimulation and, if applicable, a stimulation signal from the binocular motor stimulation device; the method comprising the following steps implemented in a processing unit (3); determination from the movement of the left eye (LE) and the right eye (RE), of an effective trajectory (Tr1) of the eyes in response to each stimulation, an effective trajectory corresponding to a saccade and / or a vergence movement of the eyes.

The present invention discloses a system for capturing eye and head movements in real time. The system comprises an eye mask body, an eye movement camera system, a light source, and three gaze target sources. The eye movement camera system is used to capture images of the user's eyes, and the light source provides illumination for the eyes. The three gaze target sources are disposed within the eye mask body and include a front gaze target source, a left front gaze target source, and a right front gaze target source, respectively providing visual targets at three different viewing angles: front, left, and right of the recording eye. The eye movement camera system, the light source, and the three gaze target sources are mounted on the same side of the eye mask body to capture images of the user's eye movements. The system also includes a head movement sensor mounted on the eye mask body. The present invention can simultaneously perform head impulse suppression tests on three pairs of semicircular canals in different planes, record the user's head movement position in real time, and capture images of the user's eye movements.

The application relates to an eye movement capture and tear film detection system and device, comprising an illumination module for illuminating the eyes of a subject, a collection module for recording images of the eyes of the subject, and a processing module for analyzing and processing the image information of the eyes of the subject, the illumination module comprising a first light source capable of periodically producing specular reflection in the tear film area of the eyes and a second light source capable of producing a light spot in the eyeball part of the eyes; the collection module collects a first image storing tear film information and a second image storing eyeball movement information; the processing module calculates the lipid layer thickness of the tear film of the subject based on the first image, and simulates the eyeball movement trajectory of the subject based on the second image; the processing module can also screen out the first image combined with the second image in which the eyeball is in a preset position based on the time sequence of the first image and the second image, so that the calculated thickness information is more accurate.

The application provides a driver abnormal driving state early warning method and related equipment applied to the vehicle safety auxiliary driving technical field, and includes the following steps: acquiring the eye movement information of a driver collected by a calibrated eye tracking sensor, processing the eye movement information by using multiple detection models to obtain multiple state detection results, processing the eye movement information by using an abnormal driving detection strategy to obtain a fatigue detection result and an attention distraction detection result; and determining whether to perform abnormal driving state early warning reminding according to the fatigue detection result, the attention distraction detection result, and the multiple state detection results. The eye movement information of the driver collected by the eye tracking sensor is processed by using the detection model, the abnormal driving detection strategy, and other methods to obtain detection results in multiple ways, the driving state is comprehensively detected, the abnormal driving state of the driver is detected in a timely manner, and early warning is performed in a timely manner.

The present disclosure relates to optical films for spectacle lenses for use with eyes experiencing eye-length-related disorders, like myopia. The optical films are configured with a plurality of optical elements, such as a plus-powered donut-ring and optical elements with azimuthally varying power distributions configured with truncations, depressions or a tilt. The arrangement, power, size, number and / or orientation of the optical elements are pseudo-random. This configuration provides dynamic irregular directional cues to the eye which occur during natural and / or instructed eye movements. Instructions on eye movements may be provided via a Myopia Management App. This invention is aimed at slowing the progression of myopia or at preventing or slowing the onset of myopia.

The present disclosure relates to a method and system for measuring emotional investments in response to auditory and / or visual stimuli using, for example, auditory fright response, pre-pulse suppression, and spontaneous blinking and / or eye movement. The method may include displaying a first video or picture content. When an individual is viewing the first video or picture content, a second video comprising one or more eyes of the individual is captured, and when the second video is captured, the individual is exposed to one or more visual and / or auditory stimuli. The method may include determining a value indicative of eye closure based on the second video. The method may include calculating a metric based on the value.

The invention discloses an equipment evaluation method and device, equipment and a storage medium. Simulated eyeball movement is controlled according to theoretical positions corresponding to a plurality of continuous test points, and an actual eye movement direction vector during simulated eyeball movement is acquired through to-be-tested eye movement tracking equipment; determining a theoretical rotation matrix between the adjacent test points according to the theoretical position, and determining an actual rotation matrix between the adjacent test points according to the actual eye movement direction vector; and calculating a relative angle error matrix between the theoretical rotation matrix and the actual rotation matrix, and evaluating the to-be-detected eye movement tracking device according to the relative angle error matrix. According to the method and the device, the relative angle error matrix between the theoretical rotation matrix and the actual rotation matrix of the adjacent test points is determined through the relative position difference matrix error calculation mode, so that the to-be-tested eye movement tracking equipment is evaluated according to the relative angle error matrix, and the precision of the to-be-tested eye movement tracking equipment is accurately evaluated.

The embodiment of the invention provides a UI element control method, head-mounted display equipment and a storage medium, and the method comprises the steps: obtaining UI elements displayed on a display interface of the head-mounted display equipment after the head-mounted display equipment starts an eye movement control function, the distance between the UI elements is greater than a first preset distance after the eye movement control function is started; obtaining eyeball movement data of a user wearing the head-mounted display device; and determining and controlling UI elements displayed in the display interface according to the eyeball movement data. The distance between the UI elements in the display interface is greater than the first preset distance, so that the false touch rate of the eye movement control operation is reduced; the user can control the UI element through eye movement, the user does not need to carry out secondary confirmation on the UI element determined through eyeball movement data through voice, gestures and the like, the two hands of the user are liberated, other users cannot find the control intention of the user wearing the head-mounted display device conveniently, and the user experience is improved. Therefore, the control privacy of the UI elements displayed by the head-mounted display equipment is improved.

The invention relates to a method for providing control data for an ophthalmic ablation laser (12) of a treatment device (10). The method comprises determining a laser pulse positioning inaccuracy based on a predetermined statistic of eye movements and a predetermined processing latency, wherein the processing latency comprises a latency of a camera device (24), a beam deflection device (22), and the ablation laser (12); determining an ablation volume (14) for correcting a refractive error as a function of the determined laser pulse positioning inaccuracy; and providing the control data for controlling the ablation laser (12), which includes the determined ablation volume (14).

The invention provides a micro-defocus eyeball movement optical refraction adjusting device, and relates to the technical field of myopia correction. The micro-defocusing eyeball movement optical refraction adjusting device comprises a shell, side baffles are fixedly connected to the inner walls of the two sides of the shell, a spectroscope assembly is jointly and fixedly connected between the two side baffles, an adjustable concave mirror is arranged on the back face of the spectroscope assembly, a defocusing piece assembly is arranged above the spectroscope assembly, and the defocusing piece assembly is fixedly connected with the shell. The adjustable concave mirror and the out-of-focus sheet assembly are respectively provided with a two-dimensional fine tuning assembly. Through a dynamic optical compensation technology, the problem of visual fatigue caused by long-time close-range eye use can be effectively relieved. The cooperative adjustment mechanism of the defocus piece and the concave mirror can ensure that the eyeballs of the user are always in the optimal optical action range in the reading or writing process, so that the continuous tension state of ciliary muscles is relieved, and more comfortable eye use experience is brought to the user.

Disclosed are systems and methods for extracting high resolution oculometric parameters and eye movement parameters. A video stream having a video of a face of a user is processed to obtain a set of oculometric parameters, such as eyelid data, iris data (e.g., iris translation, iris radius and iris rotation), and pupil data (e.g., pupil center and pupil radius). The oculometric parameters are generated at a first temporal resolution. The oculometric parameters are up sampled to increase the temporal resolution to a second temporal resolution. The oculometric parameters are then processed to generate various eye movement parameters such as blink parameter, pupil response parameter, saccade parameter, anti-saccade parameter, fixation parameter, or smooth pursuit parameter. The oculometric parameters are synchronized with a video stimulus presented on a user device prior to generating the eye movement parameters.

Various implementations of the invention relate to a silicon-embedded multi- spectral lidar system and method for non-invasive, remote monitoring of pathological conditions of an individual. The system integrates multiple laser sources, photodetectors, and a processing module onto a silicon chip, enabling the capture and analysis of spatial, spectral, scattering and temporal data from a target subject (e.g., individual). By utilizing lidar signals at various wavelengths, various implementations of the invention detect three-dimensional ("3D") surface and subsurface features such as micro-movements, vascular patterns, pigmentation changes, and tissue differences and / or irregularities. Machine learning algorithms process this information from the lidar to identify and classify abnormalities, enabling applications such as heart rate and respiration monitoring, eye movement tracking for neurological and mental health assessment, and detection of pathological skin conditions like cancer. Various implementations of the invention operate in real-time, adapt to environmental conditions, and support dynamic monitoring over time, thereby providing a comprehensive, non-contact solution for diagnostics and telemedicine, for example. Various implementations of the invention may comprise a compact silicon chip form factor suitable for portable and / or hand-held, scalable health monitoring applications across diverse environments.

The invention discloses a limb fixing device for intensive care medicine in the technical field of medical auxiliary equipment.The limb fixing device comprises a bed body, a control assembly is arranged on one side of the top of the bed body, the control assembly comprises a camera used for capturing eyeball movement of a patient and a display screen, and the camera is fixedly installed on one side of the display screen; the display screen is used for displaying a tightening instruction and a relaxing instruction, and a pointer capable of moving according to the eyeball track of the patient is displayed on the display screen; an eyeball tracking module and a sight line control module are arranged in the camera, the eyeball tracking module is used for tracking the eyeball track of a patient, the sight line control module is used for moving the pointer according to the sight line of the patient, and the controller is used for controlling the air supply assembly to inflate or deflate the air bag according to a tightening or loosening instruction indicated by the pointer. The eyeball tracking module is arranged in the camera to track the sight track of a patient, the patient is helped to adjust the tightness degree of the binding belt through the display screen and the controller, and the comfort degree when the limbs of the patient are fixed is improved.

A digital treatment program for trauma and PTSD is disclosed along with the methods implemented by the program. This program, method and protocol include pre- and post-treatment assessments to measure progress and detect potential problems, and includes a number of eye movement and exposure therapy sessions. Throughout the sessions, the patient is enabled to access grounding tools, and then optionally return to the session, which reduces the difficulties faced by the patient while going through the protocol, promoting completion of the protocol. The assessments, responses and progress of the patient are recorded and stored in a database and can be accessed by a caregiver, who monitors the treatment and progress by the patient. Apparatus is also disclosed to implement the digital treatment program.

The present invention discloses a flexible pressure sensor for detecting nystagmus. The sensor comprises an encapsulation layer, a non-woven fabric@Au-Ag nanofiber membrane, and interdigital electrodes stacked in sequence from top to bottom. The stacked encapsulation layer, non-woven fabric@Au-Ag nanofiber membrane, and interdigital electrodes are encapsulated, and the ends of the interdigital electrodes are connected to external testing equipment via wires. The flexible pressure sensor for detecting nystagmus solves the problem in the prior art of using non-contact eye movement video or recording for eye movement analysis, which cannot accurately detect eye tremors. The present invention also discloses a method for preparing the flexible pressure sensor for detecting nystagmus.

The present invention relates to an apparatus (10) for determining at least one intent of at least one user. The apparatus (10) includes an eye movement sensing device (19) configured to sense at least one eye movement signal from the user, the eye movement signal being indicative of at least one eye movement of the user, and a head movement sensing device (24) configured to sense at least one head movement signal from the user, the head movement signal being indicative of at least one head movement of the user. The apparatus (10) is configured to determine at least one degree of correlation between the eye movement signal and the head movement signal and to determine at least one intent of the user based on the determined degree of correlation. The invention further relates to a corresponding method.

This invention belongs to the field of medical device technology. It provides a dynamic target control method and system based on dual-band OCT collaborative imaging. Employing a dual-band OCT collaborative scanning strategy, during near-infrared preview, a built-in fixation target assists the patient's gaze, recording fixation target parameters. During visible light preview adjustment, a scanning target point is generated, and its position is adjusted using fixation target parameters, reducing the patient's exposure time in visible light, minimizing glare, and improving patient comfort. During the actual scanning phase, the scanning beam generates a dynamic scanning target point, periodically stopping at a fixed position to guide the patient's gaze, solving the problem of visible light obscuring the built-in target and effectively reducing eye movement artifacts.