University of Miami

Heru Inc.

Mohamed Abou Shousha

Ahmed Sayed

Amr Saad Mohamed Elsawy

Ozgur Gundogan

Amr Elsawy

Rashed Kashem

Victor L Perez

Collins Opoku-Baah

Rodrigo Hoffmann

Keith ÓHara

Dawn Smith

Ece Turhal

Keith Brock

Jianhua Wang

Mary Durbin

Michael Chen

Alexander Jacob Miller

Sonia H Yoo

Tom Nuzzo

Some systems and methods disclosed herein facilitate calibration of a head-mounted display while a visual test is performed. One mechanism of facilitating calibration involves detecting, as a visual test is being performed, that the user's eyes moved in the direction of a displayed stimulus but have not stopped at the point of where the stimulus is displayed, and instead stopped at a different point (e.g., a threshold distance away from the stimulus). Based on that detection, the system may determine that the user has seen the stimulus and that calibration of the sensors is needed. The system may then record that the user has seen the stimulus and perform sensor calibration before displaying the next stimulus.

Active calibration of head-mounted displays

A method includes obtaining spatial information indicating positions of electronic displays relative to a wearable device and selecting a first display location on an electronic display other than a wearable display of the wearable device based on the spatial information indicating that the first display location on the electronic display corresponds to a first field location of a visual field. The method further includes selecting a second display location on the wearable device based on the spatial information indicating that the second display location on the wearable display corresponds to a second field location of the visual field. The method further includes causing presentation of (i) a first stimulus at the first display location on the electronic display and (ii) a second stimulus at the second display location on the wearable device and generating ocular anomaly information based on feedback information related to the presented stimuli.

Visual field map expansion

A method is disclosed for improving accuracy of visual field testing in head-mounted displays. The method includes retrieving a visual field testing pattern for a head-mounted display, the visual field testing pattern including icons displayed at respective locations in a visual field of the head-mounted display. The visual field testing pattern is generated on the head-mounted display. Data is retrieved from a tilt sensor, located at the head-mounted display, for detecting degrees of head tilt of a user wearing the head-mounted display and the degree of head tilt is determined. A comparison is made between the degree of head tilt of the user to a first threshold degree. In response to the degree of head tilt of the user meeting or exceeding the first threshold degree, a recommendation to the user is generated for display on the head-mounted display.

Systems and methods for visual field testing in head-mounted displays

In certain embodiments, pupil-related characteristic detection or spectacles correction/adjustment based thereon may be facilitated. In some embodiments, a stimulus may be presented at a location on a first display portion of the user device at a first time to cause a first eye of a user to fixate on the location. A stimulus may be presented at the location on a second display portion of the user device to cause a second eye of the user to fixate on the location at a time subsequent to the first time. Movement of the first or second eye to fixate on the location on the respective first or second display portion in connection with the stimulus presentation at the second time may be determined. In response to the movement of the first or second eye exceeding a threshold movement amount, a user profile may be generated that includes the user's pupil distance.

Pupil characteristic detection and spectacles correction/adjustment based thereon

Methods and systems for dynamically determining stimuli characteristics for vision defect determination during a vision test. The methods and systems convert the feedback received from the binary suprathreshold test into a feature input that is provided to a prediction model. The prediction model may be trained to predict non-binary characteristics for sets of locations and confidence scores associated with the sets of locations based on feedback indicating binary characteristics under which users see one or more stimuli presented on user interfaces.

Vision testing via prediction-based setting of initial stimuli characteristics for user interface locations

In certain embodiments, double-vision-related vision defects determinations or modifications may be facilitated. In some embodiments, a stimulus may be to be presented at a first time at a position on a first display for a deviating eye of a user (e.g., without a stimulus being presented on a second display of for a reference eye of the user) to cause the deviating eye to fixate on the position on the first display. A deviation measurement for the deviating eye may be determined based on an amount of movement of the deviating eye occurring upon the presentation on the first display for the deviating eye at the first time. In some embodiments, a modification profile associated with the user may be determined based on the deviation measurement, where the modification profile includes one or more modification parameters to be applied to modify an image for the user.

Head-mounted device for presenting image content and generating a dry-eye-related indication via infrared sensor data

In certain embodiments, pupil-related characteristic detection or spectacles correction/adjustment based thereon may be facilitated. In some embodiments, a stimulus may be presented at a location on a first display of the user device at a first time to cause a first eye of a user to fixate on the location. A stimulus may be presented at the location on a second display of the user device to cause a second eye of the user to fixate on the location at a time subsequent to the first time. Movement of the first or second eye to fixate on the location on the respective first or second display in connection with the stimulus presentation at the second time may be determined. In response to determining that the movement of the first or second eye exceeded a threshold movement amount, a user profile may be generated that includes the user's pupil distance.

A head-mounted display and accessory system in which the accessory emits bleaching light through the head-mounted display to bleach photoreceptors for dark adaptation testing includes a casing, where a lens of a head-mounted display is positioned inside the cavity, and where an aperture of the casing is aligned with an exterior-facing camera of the head-mounted display. The system also includes an attachment body, where a posterior end of the attachment body is fixed to an anterior end of the casing, and where the attachment body includes a set of light-emitting diodes (LEDs), where the set of LEDs is attached to the posterior end of the attachment body and is directed towards the lens. The system also includes a circuitry that is configured to control light emission of the set of LEDs.

Head-mounted display attachment device

Modification profile generation for vision defects related to double vision or dynamic aberrations

In some embodiments, initial feedback indicating threshold characteristics (under which a user sees initial stimuli presented on a user interface) may be provided to a prediction model, and a set of predicted characteristics (for a set of locations of the user interface) and a set of confidence scores associated with the set of locations may be obtained via the prediction model. Based on the set of confidence scores, one or more locations may be selected to be tested during a visual test presentation. As an example, the locations may be selected over one or more other locations of the set of locations based on the set of confidence scores. Based on predicted characteristics associated with the selected locations, stimuli may be presented at the selected locations during the visual test presentation. Visual defect information for the user may be generated based on feedback from the visual test presentation.

Vision testing via prediction-based setting of an initial stimuli characteristic for user interface locations

In certain embodiments, vision defect information may be generated via a dynamic eye-characteristic-based fixation point. In some embodiments, a first stimulus may be displayed at a first location on a user interface based on a fixation point for a visual test presentation. The fixation point for the visual test presentation may be adjusted during the visual test presentation based on eye characteristic information related to a user. As an example, the eye characteristic information may indicate a characteristic of an eye of the user that occurred during the visual test presentation. A second stimulus may be displayed during the visual test presentation at a second interface location on the user interface based on the adjusted fixation point for the visual test presentation. Vision defect information associated with the user may be generated based on feedback information indicating feedback related to the first stimulus and feedback related to the second stimulus.

Vision defect determination via a dynamic eye characteristic-based fixation point

In certain embodiments, enhancement of a vision of a user may be facilitated. In some embodiments, a visual test presentation including a set of stimuli may be provided to a user. Feedback related to the set of stimuli may be obtained during the visual test presentation. The feedback may be provided to a prediction model, and the prediction model may be configured based on the feedback. Subsequent to the configuring of the prediction model, live video stream data, eye characteristic information, or other information may be provided to the prediction model to obtain a set of modification parameters. A modified version of the live video stream data may be generated and displayed to the user based on the live video stream and the set of modification parameters.

Growing community of inventors

Pembroke Pines, FL, United States of America

Mohamed Abou Shousha