Meta Platforms Technologies, LLC

Facebook Technologies, LLC

Christopher Anderson

Adam L Berenzweig

Daniel Z Wetmore

Jason Reisman

Paulo Jose Telo Coelho

Zaina Edelson

Austin Ha

Scott Draves

Luke O'Connor

Alexandre Barachant

Jeffrey Scott Seely

Nitzan Bartov

Szeyin Lee

Robert Cochran

Joshua Duyan

Naor Brown

Diego Adrian Gutnisky

Edith Comas

Shaker Islam

Ran Rubin

Emanuele Formento

The various implementations described herein include methods and systems for using a multi-stage in-air hand gesture to activate user-interface interactions in a way that ensures low-false positive rates. In one aspect, a method includes, while a gating gesture is maintained, receiving a first indication of performance of an adjustment gesture of a first magnitude directed to a user interface object associated with a plurality of values. The method further includes, in response to receiving the first indication, adjusting the user interface object to have a first state after moving through some of the plurality of values based on the first magnitude. The method also includes, after receiving an indication of a release of the gating gesture, in response to receiving a second indication of performance of the adjustment gesture, forgoing adjusting the user interface object such that the user interface object continues to have the first state.

Multi-stage gestures detected based on neuromuscular-signal sensors of a wearable device to activate user-interface interactions with low-false positive rates, and systems and methods of use thereof

The various implementations described herein include methods and systems for using hand gestures detected at a wearable device to navigate a user interface. An example method includes receiving, via one or more neuromuscular-signal sensors of a wrist-wearable device worn by a user, data generated during performance of an in-air wrist movement by a wrist of the user. The method also includes moving a point of focus on the user interface in accordance with the in-air wrist movement; and receiving, via the one or more neuromuscular-signal sensors, additional data generated during performance of an in-air gesture by the user. The method further includes determining that the in-air gesture is an execution gesture; and executing a command corresponding to the execution gesture.

Navigating a user interface using in-air gestures detected via neuromuscular-signal sensors of a wearable device, and systems and methods of use thereof

Systems and methods are provided for using a gesture detected at a wrist-wearable device to cause presentation of camera data at a head-wearable device. One example method includes receiving, via one or more sensors of a wrist-wearable device worn by a user, data generated based on performance of an in-air hand gesture by the user. In accordance with a determination that the data indicates that the in-air hand gesture is a camera-control gesture, the method further includes causing presentation to the user, via a display of a head-wearable device that is worn by the user and that is in communication with the wrist-wearable device, of a representation of camera data from a camera that is in communication with one or both of the wrist-wearable device and the head-wearable device.

Techniques for using in-air hand gestures detected via a wrist-wearable device to operate a camera of another device, and wearable devices and systems for performing those techniques

The disclosed computer-implemented method may include presenting, via a user interface, a sensory cue, and receiving, from neuromuscular sensors of a wearable device, various neuromuscular signals generated by a user wearing the wearable device, where the user generates the neuromuscular signals in response to the sensory cue being presented to the user via the user interface. The method may also include interpreting the received neuromuscular signals as input commands with respect to the sensory cue provided by the user interface, such that the input commands initiate performance of specified tasks within the user interface. The method may also include performing the specified tasks within the user interface according to the interpreted input commands. Various other methods, systems, and computer-readable media are also disclosed.

Systems, methods, and interfaces for performing inputs based on neuromuscular control

The disclosed human computer interface (HCI) system may include (1) at least one processor, (2) a plurality of sensors that detect one or more neuromuscular signals from a forearm or wrist of a user, and (3) memory that stores (A) one or more trained inferential models that determine an amount of force associated with the one or more neuromuscular signals and (B) computer-executable instructions that, when executed by the at least one processor, cause the at least one processor to (I) identify the amount of force determined by the one or more trained inferential models, (II) determine that the amount of force satisfies a threshold force value, and in accordance with the determination that the amount of force satisfies the threshold force value, (III) generate a first input command for the HCI system. Various other devices, systems, and methods are also disclosed.

Devices, systems, and methods for controlling computing devices via neuromuscular signals of users

Growing community of inventors

New York, NY, United States of America

Christopher Anderson