Facebook Technologies, LLC

Microsoft Technology Licensing, LLC

Albert Peter Hwang

Kenrick Cheng-Kuo Kin

Harley Michael Rosnow

Daniel Andersen

Ramrajprabu Balasubramanian

Peter Freiling

Baris Yazici

David A Nichols

John E Brezak

Stephen Harry Wright

Elliot H Omiya

Tao Cai

Patrick Jakubowski

Oded Yehuda Shekel

Scott Robert Honji

Ronakkumar N Desai

Gyorgy K Schadt

Xin Gong

Muhammad Hassan Khan

Jianlong Zhang

Embodiments of the disclosed technologies receive a request including a user identifier and metadata associated with a slot available at a user system, remove the user identifier from the request to produce anonymized request data, receive, from a machine learning model, superposition data that correlates with the anonymized request data, send the superposition data for the anonymized request data to a real-time content-to-request matching process, receive, from the real-time content-to-request matching process, an identifier that identifies a content distribution selected based on the superposition data, and initiate the selected content distribution through the network to the slot in response to the request.

Superposition-based content serving

Embodiments are directed to a near eye display (NED) system for displaying artificial reality content to a user and to manipulate displayed content items based upon gestures performed by users of the NED system. A user of the NED system may perform a gesture simulating the throwing of an object to 'cast' a content item to a target location in an artificial reality (AR) environment displayed by the NED system. The gesture may comprise a first portion in which the user's hand 'grabs' or &#x201c;pinches&#x201d; a virtual object corresponding to the content item and moves backwards relative to their body, and a second portion in which the user's hand moves forwards relative to their body and releases the virtual object. The target location may be identified based upon a trajectory associated with the backwards motion of the first portion of the gesture.

Gesture-based casting and manipulation of virtual content in artificial-reality environments

A system includes a near eye display (NED) comprising a substantially transparent electronic display that is configured to display images in accordance with display instructions, and an imaging device configured to capture one or more images of a portions of a local area surrounding the NED. The system further includes a controller configured to determine a position of an object within the local area using the captured one or more images and location information associated with the object. The controller accesses supplemental information regarding the object, and updates the display instructions to cause the substantially transparent electronic display to display at least a portion of the supplemental information about the object. The display of the at least a portion of the supplemental information is positioned within a threshold distance of the determined position of the object in an augmented reality environment as presented via the substantially transparent electronic display.

Near eye display interface for artificial reality applications

A near eye display (NED) system is configured to present an augmented reality environment to the user. In addition, the NED system uses an imaging device to detect individuals within a local area, and identify positions of hands of the individuals from which the NED system may be able to detect one or more performed gestures. In response to detecting a predetermined gesture, the NED system displays a user of the NED one or more virtual objects corresponding to the identified first gesture at a location associated with a predetermined portion of the individual's body. The displayed virtual objects may be referred to as 'visual flair,' and are used to accentuate, stylize, or provide emphasis to gestures performed by individuals within the local area.

Visual flairs for emphasizing gestures in artificial-reality environments

A system includes a near eye display (NED) that comprises an optical assembly with an electronic display, an imaging sensor configured to capture images of a user's hands, and an eye imaging sensor configured to capture images of an eye of the user. The system also includes a controller configured to determine eye tracking information using the captured images of the eye, the eye tracking information indicating a gaze orientation, wherein the gaze orientation terminates at first location. The controller determines that a pose of the user's hand indicates a pinch gesture based on the captured images of the user's hands. The controller also identifies an object in the local area that is at the first location, and updates the display instructions to cause the electronic display to display an indication of a selection of the object in an artificial reality environment.

Long distance interaction with artificial reality objects using a near eye display interface

Embodiments are directed to a near eye display (NED) system for displaying artificial reality content to a user. In some embodiments, multiple users may be in a local area, each using a different NED. A first user of a first NED may view virtual content using a first NED. The first NED may comprise an imaging device capable of capturing images of the local area, allowing the first NED to identify gestures performed by the first user and/or by other users in the local area. In some embodiments, the first NED may, in response to detecting one or more predetermined gestures performed by the first user, share virtual content displayed to the first user with a second user using a second NED, allowing the second user to view the virtual content through the second NED.

Gesture-based content sharing in artificial reality environments

Embodiments provide systems and methods for activating applications in a distributed asynchronous system based on detecting touches on a display. The system detects an input on a display. The input on the display may be, for example, from a human touch or a pointing device. An input state manager executes hit-testing on a visual tree to identify a selected view using the input on the display. The selected view is compared to an active view. A shell in the system is notified when the selected view does not match the active view. The input state manager is then notified if the selected view should be made a new active view. The system instructs an application activation service to activate an application associated with the selected view. An input state manager is notified when the application associated with the selected view has been made an active view.

View activation via hit testing in an asynchronous windowing system

A computer system supports a protocol to process directional navigation inputs to a host application and its component, to manage which component is currently active to receive input events. A first component determines whether to transfer focus to a second component. The first component initiates the transfer by sending a request to the second component. Further input events are queued. The second component processes the request to determine how to transfer focus within the second component. The second component indicates to the operating system how focus has been transferred. The operating system updates information to reflect the changes in state of the components, and informs the host and component that the state has been updated. Queued input events then can be released for processing according to the changed focus. Where the components are separate, independent processes, the protocol can be implemented through inter-process communication techniques.

Processing non-spatial input by multiple program elements of a computer program executed on a computer

Embodiments provide systems and methods for activating applications in a distributed asynchronous system based on detecting touches on a display.

Techniques for data synchronization policies are described. In one or more implementations, techniques may be employed to set data synchronization ('sync') policies for devices in a data sync environment. The sync policies specify parameters for sync operations in the sync environment, such as how frequently data sync operations are performed, what types of data are synced to particular devices, how frequently particular types of data are synced, and so on. In implementations, the sync policies consider the number of devices that are participating in a sync environment and attributes of the devices in specifying parameters for sync operations. Data can be synchronized among devices in the sync environment based on the sync policies.

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Seattle, WA, United States of America

Albert Peter Hwang