Facebook Technologies, LLC

Andre Golard

Robert Dale Cavin

Karol Constantine Hatzilias

Martin Henrik Tall

Sharvil Shailesh Talati

Neeraj Choubey

Thomas Scott Murdison

Bo Asp Andersen

Immo Andreas Schuetz

Kelly Ingham

Andrew John Ouderkirk

The disclosed computer-implemented method may include identifying a region within a user's eye gaze and calculating a ranking for the identified region within the user's eye gaze. The ranking may indicate the user's level of interest in the identified region. The method may then determine how the identified region is to be presented according to the calculated ranking and present the identified region in the determined manner according to the calculated ranking. Various other methods, systems, and computer-readable media are also disclosed.

Eye rank

Systems and methods for virtual interest segmentation may include (1) performing a semantic segmentation of an image of a user's environment, captured by an artificial reality (AR) device being worn by the user, to identify objects within the user's environment, (2) in addition to performing the semantic segmentation, performing an interest segmentation of the image to determine a personal interest that the user may have in a particular object identified via the semantic segmentation, (3) creating virtual content relating to the particular object based on the user's personal interest in the particular object, and (4) displaying the virtual content within a display element of the AR device. Various other methods, systems, and computer-readable media are also disclosed.

Virtual interest segmentation

Systems and methods for enabling gaze-based virtual content control may include (1) displaying an artificial scene with one or more virtual elements to a user wearing a head-mounted display system, (2) identifying the user's eye gaze based on gazing data collected by one or more sensors in the head-mounted display system, (3) determining that the user's eye gaze is focused on a specific virtual element, and (4) in response to determining that the user's eye gaze is focused on the specific virtual element, increasing the specific virtual element's visibility to the user. Various other methods, systems, and computer-readable media are also disclosed.

Gaze-based virtual content control

The disclosed computer-implemented method may include: identifying, using an eye-tracking system, an object within a scene viewed by a user; identifying, within a database of object interaction commands, a subset of commands that apply to the object viewed by the user; and presenting, to the user, the subset of commands that apply to the object. Various other methods, systems, devices, and computer-readable media are also disclosed.

Systems and methods for using eye tracking to improve user interactions with objects in artificial reality

The disclosed computer-implemented method may include (i) determining, using an eye-tracking system, an orientation of at least one eye of a user, (ii) identifying, based at least in part on the orientation of the user's eye, a point of interest within a field of view of the user, (iii) determining that the point of interest is a candidate for tagging, and (iv) performing, in response to determining that the point of interest is the candidate for tagging, a tagging action that facilitates tagging of the point of interest. Various other methods, systems, and computer-readable media are also disclosed.

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Seattle, WA, United States of America

Andre Golard