Abstract: A method of automatically evaluating vision of the user may include: subsequently displaying, by the processing unit, on a display, a subset of stimuli of a plurality of stimuli; tracking, by a gaze tracking device, a gaze of the user with respect to at least some of the stimuli of the subset being displayed on the display; obtaining multiple gaze datasets, at least one gaze dataset for at least some of the stimuli of the subset being displayed; and evaluating, by the processing unit, the vision of the user based on at least one of the multiple gaze datasets.

Abstract: The system proposes an electrooculogram based human computer interaction/human machine interface (HCI/HMI) system comprising wearable graphene textiles, a signal acquisition system for obtaining biopotentials from the human body, and a processor for the processing of said biopotentials acquired through said signal acquisition system for enabling and facilitating human machine interactions in various settings.

Abstract: A device unlocking method. The method shows challenging icons in challenging rounds and traces user pupils. The method requires a right user to have his pupil movement conform to a challenging icon through the challenging rounds. A device unlocks when a combined moving vector representing the pupil movement passes the challenging rounds and matches an unlocking condition.

Abstract: In certain embodiments, image data modifications may be facilitated for dynamic vision defects. In some embodiments, one or more eyes of a user may be monitored while a set of stimuli are displayed to the user. Feedback related to the set of stimuli may be obtained, where the feedback indicates (i) whether or how the user sees one or more stimuli of the set or (ii) one or more characteristics related to the eyes that occurred when such stimuli are displayed. A set of modification profiles associated with the user may be generated based on the feedback, where each modification profile of the set (i) is associated with eye-related characteristics and (ii) includes modification parameters to be applied to an image to modify the image for the user when eye-related characteristics of the user matches the associated eye-related characteristics.

Abstract: Systems and methods for detecting a traumatic brain injury (TBI). The system comprises a sensing arrangement and a control unit. The sensing arrangement collects eye movement data of a user. The control unit is in communication with the sensing arrangement and configured to compare the eye movement data to one or more baseline measurements of eye movement dynamics. The control unit is also configured to generate an alert indicating the presence or severity of the TBI for delivery to control unit administrator if the eye movement data diverges from one or more of the baseline measurements by a threshold amount.

Abstract: Detecting position information related to a face, and more particularly to an eyeball in a face, using a detection and ranging system, such as a Radio Detection And Ranging (“RADAR”) system, or a Light Detection And Ranging (“LIDAR”) system. The position information may include a location of the eyeball, translational motion information related to the eyeball (e.g., displacement, velocity, acceleration, jerk, etc.), rotational motion information related to the eyeball (e.g., rotational displacement, rotational velocity, rotational acceleration, etc.) as the eyeball rotates within its socket.

Abstract: An ophthalmologic imaging apparatus of an embodiment includes a data acquisition device, photographing device, a controller, and an error detector. The data acquisition device acquires data by scanning a subject's eye using optical coherence tomography. The photographing device photographs the subject's eye to obtain a front image. The controller controls the data acquisition device to perform a series of scans along a preset path group. The error detector detects an error based on a series of data acquired by the series of scans and two or more front images that include one or more front images obtained by photographing device corresponding to the series of scans.

Abstract: Eye prescriptions may be determined by providing a simple, easy to use, portable device with a specially configured targeting light source that aligns the eye, mitigates accommodation, and provides accurate results. Unlike stationary, closed view autorefractors, this device typically is portable, self-usable, relatively inexpensive, enabling more widespread use across the world.

Abstract: A Progressive Lens Simulator comprises an Eye Tracker, for tracking an eye axis direction to determine a gaze distance, an Off-Axis Progressive Lens Simulator, for generating an Off-Axis progressive lens simulation; and an Axial Power-Distance Simulator, for simulating a progressive lens power in the eye axis direction. The Progressive Lens Simulator can alternatively include an Integrated Progressive Lens Simulator, for creating a Comprehensive Progressive Lens Simulation. The Progressive Lens Simulator can be Head-mounted. A Guided Lens Design Exploration System for the Progressive Lens Simulator can include a Progressive Lens Simulator, a Feedback-Control Interface, and a Progressive Lens Design processor, to generate a modified progressive lens simulation for the patient after a guided modification of the progressive lens design. A Deep Learning Method for an Artificial Intelligence Engine can be used for a Progressive Lens Design Processor.

Abstract: A location-based advertisement method, system, and non-transitory computer readable medium, include a location-based advertisement system, including a gaze tracking circuit configured to track a gaze of a user relative to a plurality of advertisements displayed on content-serving devices to determine a focus level of the user with respect to each of the plurality of advertisements, a location detecting circuit configured to detect when a user is within a predetermined proximity of a location of a business having products related to the plurality of advertisements displayed on the content-serving devices, and an advertisement sending circuit configured to send a notification to the user based on the user being within the predetermined proximity of the location of the business and the plurality of ranked lists ranking the focus level of the user.

Abstract: Disclosed are an apparatus and a method of low-latency, low-power eye tracking. In some embodiments, the eye tracking method operates a first sensor having a first level of power consumption that tracks positions of an eye of a user. In response to detection that the eye does not change position for a time period, the method stops operation of the first sensor and instead operates a second sensor that detects a change of position of the eye. The second sensor has a level of power consumption lower than the level of power consumption of the first sensor. Once the eye position changes, the second sensor resumes operation.

Abstract: An input system includes at least one sensor and a controller communicatively coupled to the at least one sensor. The at least one sensor is configured to identify a position of an eye. The controller is configured to receive a first signal indicative of a first position of an eye from the at least one sensor and map the eye position to a user's selection.

Abstract: A system for measuring eye tracking may include a chassis, which may include a main column and a head rest assembly. The head rest assembly may include a stimulus screen for displaying a video to the patient, an optical mirror, an eye tracking camera, and at least one head rest member for stabilizing the patient's head, relative to the stimulus screen. The system may also include: a base attached to a bottom of the main column to support the main column; an arm extending from the main column to support the head rest assembly; a touchscreen interface attached to the main column and configured to provide control of the system to a user; a camera computer housed in the main column for controlling the eye tracking camera; and a system computer housed in the main column for controlling the stimulus screen, data processing and other functions.

Abstract: A system or method for measuring human ocular performance can be implemented using an eye sensor, a head orientation sensor, and an electronic circuit. The device is configured for measuring vestibulo-ocular reflex, pupillometry, saccades, visual pursuit tracking, vergence, eyelid closure, dynamic visual acuity, retinal image stability, foveal fixation stability, focused position of the eyes or visual fixation of the eyes at any given moment and nystagmus. The eye sensor comprises a video camera that senses vertical movement and horizontal movement of at least one eye. The head orientation sensor senses pitch and yaw in the range of frequencies between 0.01 Hertz and 15 Hertz. The system is implemented as part of an impact reduction helmet that comprises an inner frame having interior pads configured to rest against a person's head and one or more shock absorption elements attached between the inner frame and the spherical shell that couple the spherical shell to the inner frame.

Abstract: Embodiments are disclosed for gaze tracking with an in-vehicle computing system. In one example, an in-vehicle computing system of a vehicle includes a camera, a light source, a display, a processor, and a storage device storing instructions executable to direct light from the light source to an eye of one or more occupants of the vehicle, receive, at the camera, light reflected from the eye of the one or more occupants of the vehicle, determine a gaze direction of each of the one or more occupants of the vehicle, and operate one or more of the in-vehicle computing system and another vehicle system based on the determined gaze direction.

Abstract: Disclosed are methods for diagnosing declarative memory loss using mouse tracking to follow the visual gaze of a subject taking a visual paired comparison test. Also disclosed are methods for diagnosing dementia such as mild cognitive impairment and Alzheimer's disease.

Abstract: A system for providing an image on a display is disclosed. The system may include a scaler chip. The scaler chip may be configured to receive video data. The scaler chip may be configured to receive eye tracking data. The scaler chip may be configured to cause a display to present an image, where the image is based on the video data and the eye tracking data.

Abstract: The system allows one with no prior training in refraction to subjectively screen, measure, and correct for their own refractive error without the assistance of a second person through subjective self-refraction (SSR). One accomplishes SSR by interacting with refractor input controls, which manipulate lenses in front of their eye(s). The SSR process is accomplished via pre-programming, allowing for direct feedback between the system and user from sensory cues that are prompted by interacting with the input controls. The resulting health data may be displayed or transmitted to the user or another individual for later use. The refraction process may incorporate remote data management technology and computer network capabilities that provides for efficiency, improved accuracy, cost savings and user experience enhancement and may allow for greater access to vision correction services for many people.

Abstract: A laser eye surgery system includes a computer which scans a focused laser beam in a trajectory over a reticle or target and determines beam quality via laser light reflected from the target. The target may have a grid pattern of lines, with the diameter of the focused laser beam determined based on a time interval for the scanned beam to move onto a line of the grid pattern. Methods for measuring beam quality in a laser eye surgery system provide a direct, quantitative quality measurement of the focused laser beam, and may be performed quickly and automatically. Using scanning mirror position information together with signals resulting from laser light reflected from the target, the laser eye surgery system may also be calibrated.

Abstract: A calibration method for an eye tracker provides for the defining of at least one first region of attraction of a first image to be displayed to a user; acquiring a first sequence of data relative to the eye movement of a user who is looking at the first image by means of an eye tracker; calculating at least a plurality of first calibration positions by means of respective calibration functions on the basis of a first gaze determined from the first sequence of data relative to eye movement; assigning a first score to each calibration function on the basis of the respective first calibration position and the first region of attraction; and selecting one of the calibration functions on the basis of the score.

Abstract: A method for tracking eye movement is provided. One embodiment of the method includes receiving a first measurement from a first sensor configured to detect a gaze location, determining an initial gaze location based at least on the first measurement, receiving at least one of eye motion amplitude and eye motion direction measurement from a second sensor, and determining an estimated gaze location based at least on the initial gaze location and the at least one of eye motion amplitude and eye motion direction. Systems perform similar steps, and non-transitory computer readable storage mediums each store one or more computer programs.

Abstract: This application relates to the field of wearable devices and provides a dominant eye determining method and device. A method comprises: obtaining first sensory information of a first eye of a user; and determining whether the first eye is a dominant eye according to the first sensory information and reference information. The method and device help other devices worn by a user to perform automatic set-up according to a determining result, thereby improving user experience.

Abstract: An interactive control apparatus for controlling an OCT imaging apparatus instructs, in response to detection of a first instruction signal from a pointer device, a specific action to the OCT imaging apparatus according to selected icon displayed on a display unit, and instructs, in response to detection of a second instruction signal from the pointer device, a specific action to the OCT imaging apparatus according to a preparation status of the OCT imaging apparatus when the second instruction signal is detected.

Abstract: An eyelid detection device includes a face feature point detecting unit for detecting outer and inner eye corners as face feature points from a captured image, an eye region detecting unit for detecting an eye region including both an upper eyelid area and an eye area from the captured image on the basis of the face feature points, and an upper eyelid detecting unit for, for each of a plurality of divided areas into which the eye region is divided, detecting the boundary between the upper eyelid area and the eye area on the basis of the pattern of arrangement of the intensity values of pixels aligned in the divided region, and for connecting the boundary detected for each of the divided regions, to determine an upper eyelid.

Abstract: Systems, devices, and methods are described for assessing the risk of developmental, cognitive, social, or mental abilities or disabilities in very young patients (e.g., in the first 2-6 months of life). Generally, the decline in visual fixation of a subject over time with respect to certain dynamic stimuli provides a marker of possible abilities or disabilities (such as ASD). The visual fixation of the subject is identified, monitored, and tracked over time through repeated eye tracking sessions, and data relating to the visual fixation is then analyzed to determine a possible increased risk certain conditions in the subject. A change in visual fixation as compared to similar visual fixation data of typically-developing subjects or to a subject's own, prior visual fixation data provides an indication of a developmental, cognitive, or mental ability or disability.

Abstract: A passenger detection device (10) includes a face image obtaining unit (12) obtaining a face image captured in a state in which a passenger in a vehicle irradiated with irradiation light from light sources. The device further includes: a reflected-image position detecting unit (14) detecting, from the face image, positions of respective reflected images of the light sources reflected on eyeglasses worn by the passenger; an eyeglasses feature detecting unit (15) detecting, from the face image, positions of center points of lenses as feature information of the eyeglasses; a head position detecting unit (16) detecting a head position of the passenger on the basis of the positions of respective reflected images; and a face orientation detecting unit (17) detecting face orientation of the passenger on the basis of relation between the head position of the passenger, the positions of respective reflected images, and the positions of center points of lenses.

Abstract: A vending machine is described that uses digital currency transactions to enable a user to purchase items from their portable computing device. Using a control system in communication with various components of the vending machine and an internet connection for communicating with a remote digital currency system, such as a bitcoin network, a digital currency processing system executes digital currency transactions and stores the resulting digital currency in a transaction storage repository. The control system initiates dispensing of purchased items based on communication from the digital currency processing system.

Abstract: A method of automatically activating a camera application implemented in a mobile device in locked mode starts with the processor receiving a first signal from an accelerometer. The device's processor activates the camera application when the processor determines that the mobile device has remained in a stationary portrait or landscape position for a period of time based on the first signal. Activating the camera application includes signaling by the processor to the display device to display a camera screen from a locked screen. The processor may also receive a second signal from a proximity sensor that detects presence of a nearby object to the mobile device. When the processor determines that there is presence of the nearby object to the mobile device based on the second signal, the mobile device remains in locked mode and the processor does not activate the camera application.

Abstract: This present disclosure describes an optics block with a frame element. The optics block includes a set of one or more optical elements with a first region and a second region. The first region has a first optical quality which is above a quality threshold; the second region has a second optical quality which is below the quality threshold. The frame element is coupled to a quality threshold boundary between the first region and the second region and is between the set of one or more optical elements and an eye-box. The frame element directs a user's attention towards the first region of the set of one or more optical elements with the first optical quality and away from the second region of the set of one or more optical elements with the second optical quality.

Abstract: Embodiments of the invention are related to a method and a system for eyesight diagnosis. The system includes a vision test unit and a controller. The vision test unit includes at least one eye movement tracking unit configured to track the movement of a portion of the eye, at least one screen for visual stimulation and a shuttering unit configured to controllably block the field of view (FOV) of each eye separately. In some embodiments, the controller includes a processor and a non-volatile memory that store thereon instructions that when executed by the processor causes the controller to: display to a patient a first visual stimulation on the at least one screen, cause the shuttering unit to block the FOV of a first eye of the patient while unblocking the FOV of a second eye, receive a first signal indicative of the second eye movement of the patient from the at least one eye movement tracking unit and diagnose the patient's eyesight based on the received first signal.

Abstract: A control method and equipment are provided, which relate to the field of electronic equipment. A method comprises: acquiring, in response to a head movement executed by a user, electrooculographic information of the user; and executing an operation corresponding to the head movement according to the electrooculographic information and at least one piece of reference information. A control operation according to electrooculographic information is provided, and, for some equipment integrated with an electrooculographic transducer, a corresponding control function can be implemented by multiplexing the electrooculographic information captured by the electrooculographic transducer by using the method, thereby reducing implementation costs.

Abstract: Provided is an information processing apparatus including a processing unit that performs a derivation process of deriving a relative positional relation between a user and a display screen such that a calibration position is within an angle of view of the display screen, the calibration position being stared by the user of a line of sight detection target when sampling data for calibration of a line of sight is acquired.

Abstract: A lightguide is configured to transmit a scanned and/or focused processing beam to a target. The processing beam has a wavefront amplitude and phase set by a spatial light modulator. Suitable wavefront characteristics are obtained based on portions of the processing beam returned to a detector through the lightguide. A beam path can be detected at a first, reduced power, and processing along the beam path performed at a second, higher optical power.

Abstract: A system for refereeing a sports match including a portable processing device for compiling data associated with the sports match and eyeglasses including data display means for displaying the data associated with the sports match to a wearer of the eyeglasses.

Abstract: An eye tracking method includes: capturing, by a camera, an image of an eye; detecting, by a processing circuit, a pupil region of interest in the image of the eye; analyzing, by the processing circuit, the pupil region of interest to obtain a gaze vector of the pupil region of interest; calculating, by the processing circuit, a viewpoint of the eye according to the gaze vector based on an eye model, in which the eye model includes a matrix indicating relationship between the viewpoint of the eye and the gaze vector of the pupil region of interest; and tracking, by the processing circuit, a motion of the eye based on the viewpoint calculated using the eye model.

Abstract: A monitoring system for monitoring the visual behavior of a wearer of a head-mounted device, the monitoring system includes: —a least one wearer's visual behavior sensor configured to sense at least one wearer's visual behavior data relating to the visual behavior of the wearer of the head-mounted device, —a communication unit associated with the at least one wearer's visual behavior sensor and configured to communicate the visual behavior data to a wearer information data generating unit, —a wearer information data generating unit configured to: —receive the wearer's visual behavior data, —store the wearer's visual behavior data, and —generate an wearer information data indicative of at least one of: wearer's vision or general health condition of the wearer or wearer's activity or wearer's authentication based, at least, on the evolution over time of the wearer's visual behavior data.

Abstract: The iris recognition device includes an iris camera module used for collecting iris characteristics of a user, and at least one fill light component used for providing a supplementary light source for the iris camera module. When the iris recognition device is used for collecting the iris characteristics of the user, the supplementary light source provided by the fill light component reduces reflective spots on the iris or make reflective spots in areas other than iris such as sclera and pupil, thereby improving precision of the collected iris characteristics of the user.

Abstract: Techniques for generating 3D gaze predictions based on a deep learning system are described. In an example, the deep learning system includes a neural network. The neural network is trained with training images. During the training, calibration parameters are initialized and input to the neural network, and are updated through the training. Accordingly, the network parameters of the neural network are updated based in part on the calibration parameters. Upon completion of the training, the neural network is calibrated for a user. This calibration includes initializing and inputting the calibration parameters along with calibration images showing an eye of the user to the neural network. The calibration includes updating the calibration parameters without changing the network parameters by minimizing the loss function of the neural network based on the calibration images. Upon completion of the calibration, the neural network is used to generate 3D gaze information for the user.

Abstract: A method capturing eye movement data for detection of cognitive anomalies, includes a computer application displaying a frame on a display, capturing and displaying a video image of a user's face and eyes, while the user aligns the face to the frame, capturing and processing the face image to initiate an image eye movement capture process, outputting an indication on a display and moving the indication spatially to one of a plurality of images, capturing a video of each user eye, to track the position of the indication of the display, the image of each eye comprising a sclera portion, an iris portion, and a pupil portion, parsing the video to determine a reference images corresponding to eye positions, capturing the user's eyes while the user views familiar and novel images, and correlating the images of the user's eyes to the familiar or novel images using the reference images.

Abstract: The present disclosure provides a method for improving ghosting in a display screen, including the steps of: acquiring a brightness of a screen to be displayed and an average brightness of a ghosting; acquiring a position of the ghosting in the display device, if the average brightness of the ghosting is greater than the brightness of the screen to be displayed; and processing the screen to improve a brightness of the screen corresponding to the ghosting in the screen to be displayed. The present disclosure further provides a system for improving ghosting in a display screen. The present disclosure utilizes the software algorithm to locally adjust the brightness at a position with high reflection and high glare in the display screen so as to enhance the local brightness of the display device and enhance the readability of the display screen and achieve the anti-glare effect and the anti-reflection effect.

Abstract: A manual image-capturing device for the registration of low-cost ophthalmological images, accessible to those countries and places that do not have access to conventional high-cost devices, wherein the device of the invention allows taking and recording images of the retina using smart mobile devices such as for example smart phones, also allowing live transmission of the ophthalmological examination.

Abstract: Systems and methods are disclosed for evaluating human eye tracking. One method includes receiving data representing the location of and/or information tracked by an individual's eye or eyes before, during, or after the individual performs a task; identifying a temporal phase or a biomechanical phase of the task performed by the individual; identifying a visual cue in the identified temporal phase or biomechanical phase; and scoring the tracking of the individual's eye or eyes by comparing the data to the visual cue.

Abstract: A concussion screening device includes an illumination unit, an image sensor array, a processing unit, and system memory. The concussion screening device displays stimuli on the illumination unit and receives a plurality of images on the image sensor array. The stimuli correspond to a concussion test. The processor processes the plurality of images, which includes detecting one or more pupils of an evaluated person during the concussion test. Based on the processing, the concussion screening device determines whether or not an evaluated person has suffered a concussion. The results are displayed to a user and/or the evaluated person.

Abstract: The systems and methods described herein assist persons with the use of computers based on eye gaze, and allow such persons to control such computing systems using various eye trackers. The systems and methods described herein use eye trackers to control cursor (or some other indicator) positioning on an operating system using the gaze location reported by the eye tracker. The systems and methods described herein utilize an interaction model that allows control of a computer using eye gaze and dwell. The data from eye trackers provides a gaze location on the screen. The systems and methods described herein control a graphical user interface that is part of an operating system relative to cursor positioning and associated actions such as Left-Click, Right-Click, Double-Click, and the like. The interaction model presents appropriate user interfaces to navigate the user through applications on the computing system.

Abstract: In certain embodiments, enhancement of a field of view of a user may be facilitated via one or more dynamic display portions. In some embodiments, one or more changes related to one or more eyes of a user may be monitored. Based on the monitoring, one or more positions of one or more transparent display portions of wearable device may be adjusted, where the transparent display portions enable the user to see through the wearable device. A live video stream representing an environment of the user may be obtained via the wearable device. A modified video stream derived from the live video stream may be displayed on one or more other display portions of the wearable device.

Abstract: A fiber housing includes multiple shape sensing cores and a single optical core. A distal end of the fiber housing is positionable to direct the single optical core to a current point of an anatomical target. Collimated light over a first range of frequencies is projected from the single optical core to the current point. OFDR is used to detect reflected light scattered from the current point and to process the detected light to determine a distance to the current point. Light over a second range of frequencies is projected through the multiple shape sensing optical cores to the distal end of the fiber housing. OFDR is used to measure light reflected from the distal end of the fiber housing back through the multiple shape sensing optical cores and to process the measurement to determine a position in three dimensional space of the distal end of the fiber housing and a pointing direction of the distal end of the fiber housing.

Abstract: A gaze tracking system, method, and computer product for tracking an eye gaze on a screen of a device including a single monocular camera, the system including measuring a rotation of a hinged plane of a display screen with respect to the eye gaze, combining the rotation with a three-dimensional movement of the camera, a position of the camera being constant with respect to the display screen, and estimating a point of gaze localization on the display screen using the single monocular camera as the input, in absence of a sensor, and without performing a display screen calibration.

Abstract: Examples of an imaging system for use with a head mounted display (HMD) are disclosed. The imaging system can include a forward-facing imaging camera and a surface of a display of the HMD can include an off-axis diffractive optical element (DOE) or hot mirror configured to reflect light to the imaging camera. The DOE or hot mirror can be segmented. The imaging system can be used for eye tracking, biometric identification, multiscopic reconstruction of the three-dimensional shape of the eye, etc.

Abstract: An image processing device of an image apparatus includes a distance image generation unit that generates a first distance image and a second distance image from the output signals of a first camera and a second camera based on flight times of light. The image processing device includes a stereo image generation unit that generates a stereo image from the output signals of the cameras. The image processing device includes an image comparison unit that compares the stereo image and the distance image and detects an abnormality of at least one of the first distance image and the second distance image.

Abstract: According to one embodiment, an eye movement detecting device comprises first, second, third, fourth and fifth electrodes. A line connecting the first and the third electrodes passes through the right eye and a line connecting the second and the fourth electrodes passes through the left eye on at least one of a front view, a plan view or a side view. A distance between the fifth and the first electrodes is equal to a distance between the fifth and the second electrodes. A distance between the fifth and the third electrodes is equal to a distance between the fifth and the fourth electrodes. The detector respectively detects a horizontal movement of the right eye and a horizontal movement of the left eye.