Abstract: A display system can include a head-mounted display configured to project light to an eye of a user to display virtual image content at different amounts of divergence and collimation. The display system can include an inward-facing imaging system images the user's eye and processing electronics that are in communication with the inward-facing imaging system and that are configured to obtain an estimate of a center of rotation of the user's eye. The display system may render virtual image content with a render camera positioned at the determined position of the center of rotation of said eye.

Abstract: Example techniques are disclosed for increasing the sensitivity of an augmented or virtual reality display system to collecting eye-tracking data for detecting physiological conditions, such as neural processes. An example method includes accessing eye-tracking information associated with a control population and an experimental population, the eye-tracking information reflecting, for each user of the control population and the experimental population, eye-tracking metrics associated with the user; scaling the eye-tracking information based on the eye-tracking information associated with the control population; and determining a sensitivity measure reflecting a distance measure between the control population and experimental population. The sensitivity measure may be utilized to modify physical or operational parameters for the display system and/or the protocol for performing a test.

Abstract: A system and a method for traffic management on a network. The method including: determining a desired intent for a network operator's traffic; determining a set of classes for a traffic flow through a link; determining a minimum and target bandwidth for each class in the set of class based on the desired intent; measure user score and bandwidth use for each class; allocate a bandwidth per class based on the minimum and target bandwidth and measured user score; and shape the traffic flow to the allocated bandwidth.

Abstract: A display system can include a head-mounted display configured to project light to an eye of a user to display virtual image content at different amounts of divergence and collimation. The display system can include an inward-facing imaging system images the user's eye and processing electronics that are in communication with the inward-facing imaging system and that are configured to obtain an estimate of a center of rotation of the user's eye. The display system may render virtual image content with a render camera positioned at the determined position of the center of rotation of said eye.

Abstract: A system may include sensors that may acquire health data related to an individual. The system may also include a processor that may receive trip data associated with a current location of the individual and a destination location for the individual, traffic condition data associated with routes between the current location and the destination location, and weather related data associated with the routes. The processor may also receive the health data from the sensors and determine whether the individual is associated with a driver assessment score above a threshold based on the trip data, the traffic condition data, the weather data, the health data, or any combination thereof. The processor may then send an activation signal to a vehicle control system in response to the driver assessment score being above the threshold, such that the activation signal may enable the vehicle control system to control operations of a vehicle.

Abstract: A data correlation and presentation system is provided herein. Machine learning is used to identify correlations in data received from disparate electronic services. Corelated data objects are generated based upon the identified correlations and the corelated data objects are provided in a combined characteristics output, enabling downstream reporting systems to report the correlations with very little processing resource utilization.

Abstract: Example techniques are disclosed for increasing the sensitivity of an augmented or virtual reality display system to collecting eye-tracking data for detecting physiological conditions, such as neural processes. An example method includes accessing eye-tracking information associated with a control population and an experimental population, the eye-tracking information reflecting, for each user of the control population and the experimental population, eye-tracking metrics associated with the user; scaling the eye-tracking information based on the eye-tracking information associated with the control population; and determining a sensitivity measure reflecting a distance measure between the control population and experimental population. The sensitivity measure may be utilized to modify physical or operational parameters for the display system and/or the protocol for performing a test.

Abstract: An enrollment data management system includes one or more processors and memory storing instructions executable by the one or more processors to cause the one or more processors to receive sensor data from one or more sensors located at a property, wherein the sensor data indicates a plurality of individual detection events that each indicate presence of an individual at the property. The instructions are executable by the one or more processors to cause the one or more processors to analyze the sensor data to determine that the property qualifies as a residence of the individual, access information relevant to the property from one or more databases, utilize the information relevant to the property as enrollment information for an enrollment process for the individual.

Abstract: System and methods for pre-fetching data are provided. In one embodiment, an electronic device includes communications circuitry communicatively coupled to a data provider system over a network to obtain streaming data for completion of tasks. The electronic device also includes pre-fetch circuitry that identifies a dead zone in the network; calculates a pre-fetch data size amount based at least in part upon a size of the dead zone; and requests the pre-fetch data size amount of the data, to mitigate lost streaming ability in the dead zone.

Abstract: A customer management system can be designed to provide an integrated smart graphical user interface. For example, a computing device can receive information that includes a topic of conversation for a chat-based communication; initiate, via a first graphical user interface (GUI), the chat-based communication with another computing device after the information is received, display, via a second GUI, the user profile associated with the person, wherein the second GUI is displayed adjacent to and integrated with the first GUI; determine a relationship between one or more words or phrases received via the first GUI from the first computing device and the additional information in the user profile, where the relationship is determined in real-time or near real-time as the one or more words or phrases are received; and display a visual indicator in the second GUI that shows content in the second GUI that is relevant to the determined relationship.

Abstract: An eye tracking system can include an eye-tracking camera configured to obtain images of the eye at different exposure times or different frame rates. For example, longer exposure images of the eye taken at a longer exposure time can show iris or pupil features, and shorter exposure, glint images can show peaks of glints reflected from the cornea. The shorter exposure glint images may be taken at a higher frame rate (than the longer exposure images) for accurate gaze prediction. The shorter exposure glint images can be analyzed to provide glint locations to subpixel accuracy. The longer exposure images can be analyzed for pupil center or center of rotation. The eye tracking system can predict future gaze direction, which can be used for foveated rendering by a wearable display system. In some instances, the eye-tracking system may estimate the location of a partially or totally occluded glint.

Abstract: A real-world object-based method and system of performing an authentication of a person in order to permit access to a secured resource is disclosed. The system and method are configured to collect image data from an end-user in real-time that includes objects in their environment. At least one object is selected and its image data stored for subsequent authentication sessions, when the system can determine whether there is a match between the new image data and image data previously collected and stored in a database. If there is a match, the system verifies an identity of the person and can further be configured to automatically grant the person access to one or more services, features, or information for which he or she is authorized.

Abstract: An eye tracking system can include an eye-tracking camera configured to obtain images of the eye at different exposure times or different frame rates. For example, longer exposure images of the eye taken at a longer exposure time can show iris or pupil features, and shorter exposure, glint images can show peaks of glints reflected from the cornea. The shorter exposure glint images may be taken at a higher frame rate (than the longer exposure images) for accurate gaze prediction. The shorter exposure glint images can be analyzed to provide glint locations to subpixel accuracy. The longer exposure images can be analyzed for pupil center or center of rotation. The eye tracking system can predict future gaze direction, which can be used for foveated rendering by a wearable display system. In some instances, the eye-tracking system may estimate the location of a partially or totally occluded glint.

Abstract: Example techniques are disclosed for increasing the sensitivity of an augmented or virtual reality display system to collecting eye-tracking data for detecting physiological conditions, such as neural processes. An example method includes accessing eye-tracking information associated with a control population and an experimental population, the eye-tracking information reflecting, for each user of the control population and the experimental population, eye-tracking metrics associated with the user; scaling the eye-tracking information based on the eye-tracking information associated with the control population; and determining a sensitivity measure reflecting a distance measure between the control population and experimental population. The sensitivity measure may be utilized to modify physical or operational parameters for the display system and/or the protocol for performing a test.

Abstract: A display system includes a head-mounted display configured to project light, having different amounts of wavefront divergence, to an eye of a user to display virtual image content appearing to be disposed at different depth planes. The wavefront divergence may be changed in discrete steps, with the change in steps being triggered based upon whether the user is fixating on a particular depth plane. The display system may be calibrated for switching depth planes for a main user. Upon determining that a guest user is utilizing the system, rather than undergoing a full calibration, the display system may be configured to switch depth planes based on a rough determination of the virtual content that the user is looking at. The virtual content has an associated depth plane and the display system may be configured to switch to the depth plane of that virtual content.

Abstract: Example techniques are disclosed for increasing the sensitivity of an augmented or virtual reality display system to collecting eye-tracking data for detecting physiological conditions, such as neural processes. An example method includes accessing eye-tracking information associated with a control population and an experimental population, the eye-tracking information reflecting, for each user of the control population and the experimental population, eye-tracking metrics associated with the user; scaling the eye-tracking information based on the eye-tracking information associated with the control population; and determining a sensitivity measure reflecting a distance measure between the control population and experimental population. The sensitivity measure may be utilized to modify physical or operational parameters for the display system and/or the protocol for performing a test.

Abstract: A display system includes a head-mounted display configured to project light, having different amounts of wavefront divergence, to an eye of a user to display virtual image content appearing to be disposed at different depth planes. The wavefront divergence may be changed in discrete steps, with the change in steps being triggered based upon whether the user is fixating on a particular depth plane. The display system may be calibrated for switching depth planes for a main user. Upon determining that a guest user is utilizing the system, rather than undergoing a full calibration, the display system may be configured to switch depth planes based on a rough determination of the virtual content that the user is looking at. The virtual content has an associated depth plane and the display system may be configured to switch to the depth plane of that virtual content.

Abstract: Systems and methods for eye tracking latency enhancements. An example head-mounted system obtains a first image of an eye of a user. The first image is provided as input to a machine learning model which has been trained to generate iris and pupil segmentation data given an image of an eye. A second image of the eye is obtained. A set of locations in the second image at which one or more glints are shown is detected based on iris segmentation data generated for the first image. A region of the second image at which the pupil of the eye of the user is shown is identified based on pupil segmentation data generated for the first image. A pose of the eye of the user is determined based on the detected set of glint locations in the second image and the identified region of the second image.

Abstract: A customer management system can be designed to provide an integrated smart graphical user interface. For example, a computing device can receive information that includes a topic of conversation for a chat-based communication; initiate, via a first graphical user interface (GUI), the chat-based communication with another computing device after the information is received; display, via a second GUI, the user profile associated with the person, wherein the second GUI is displayed adjacent to and integrated with the first GUI; determine a relationship between one or more words or phrases received via the first GUI from the first computing device and the additional information in the user profile, where the relationship is determined in real-time or near real-time as the one or more words or phrases are received; and display a visual indicator in the second GUI that shows content in the second GUI that is relevant to the determined relationship.

Abstract: A system may include sensors that may acquire health data related to an individual. The system may also include a processor that may receive trip data associated with a current location of the individual and a destination location for the individual, traffic condition data associated with routes between the current location and the destination location, and weather related data associated with the routes. The processor may also receive the health data from the sensors and determine whether the individual is associated with a driver assessment score above a threshold based on the trip data, the traffic condition data, the weather data, the health data, or any combination thereof. The processor may then send an activation signal to a vehicle control system in response to the driver assessment score being above the threshold, such that the activation signal may enable the vehicle control system to control operations of a vehicle.