Meta Platforms Technologies, LLC

Facebook Technologies, LLC

Marcello Giordano

Tovi Samuel Grossman

Hrvoje Benko

Daniel John Wigdor

Aakar Gupta

Tanya Renee Jonker

Stephanie Santosa

Sean Edwin Trowbridge

Michael Glueck

Rorik Henrikson

Carolina Brum Medeiros

Daniel Clarke

Ting Zhang

Mark Parent

Sunggeun Ahn

The disclosed computer-implemented method may include (1) receiving information associated with a real-time output of a recognition model adapted to recognize at least one behavior of a user, (2) determining, based on the information, a level of uncertainty associated with the real-time output, (3) modulating at least one attribute of feedback based on the level of uncertainty, and (4) presenting the feedback to the user substantially contemporaneous with the real-time output of the recognition model. Various other methods, systems, and computer-readable media are also disclosed.

Systems and methods for communicating recognition-model uncertainty to users

An electronic device tracks, for a user performing a target acquisition movement within a 3D space, movement parameters of a plurality of input devices of the user. The electronic device predicts, for the user, a region of interest within the 3D space, based on the movement parameters. The region of interest includes a plurality of targets in close proximity. The electronic device predicts an endpoint of the target acquisition movement, within the region of interest. In some embodiments, the plurality of input devices includes an eye tracking input device, each input device corresponds to a predefined input device type, and the movement parameters include gaze data from the eye tracking input device. In some embodiments, input devices includes an eye tracking input device, a head-mounted display, and a hand-held controller, and the user's eye, hand, and head movements are coordinated.

Multimodal kinematic template matching and regression modeling for ray pointing prediction in virtual reality

A method of saccade-based positioning of a radial user interface includes performing operations while a first radial user interface is displayed on a display. The operations include (a) detecting a saccade movement based on eye-tracking data received from an eye-tracking system; (b) determining whether the saccade movement crosses a first region border corresponding to a first region of the first radial user interface; (c) determining a velocity of the saccade movement based on the eye-tracking data; and (d) dynamically determining a location for a subsequent radial user interface in response to the velocity and in response to determining that the saccade movement crosses the first region border. The method also includes displaying, on the display, the subsequent radial user interface at the location.

Saccade-based positioning for radial user interface

An electronic device tracks, for a user performing a target acquisition movement within a 3D space, movement parameters of a plurality of input devices of the user. The electronic device predicts, for the user, a region of interest within the 3D space, using a regression model, based on the movement parameters. The region of interest includes a plurality of targets in close proximity. The electronic device predicts an endpoint of the target acquisition movement, within the region of interest, using a pointer facilitation technique. In some embodiments, the plurality of input devices includes an eye tracking input device, each input device corresponds to a predefined input device type, and the movement parameters include gaze data from the eye tracking input device. In some embodiments, input devices includes an eye tracking input device, a head-mounted display, and a hand-held controller, and the user's eye, hand, and head movements are coordinated.

Growing community of inventors

Toronto, Canada

Marcello Giordano