Google Inc.

Selim Flavio Cinek

Allyson E Tong

Lucas Dupin Moreira Costa

Artur Tsurkan

Vignesh Sachidanandam

Alok Chandel

Leonardo Giusti

Brandon Charles Barbello

Tyler Reed Kugler

Johan Prag

Daniel Park

Michael Adam Cohen

Sunny Goyal

Arif Huda

Remington C McElhaney

Rohan Ketan Shah

Madeleine Denise Mellor

Justin R Barber

Yuan Hang Li

Daniel June Hyung Park

Winson W S Chung

William Levi Frohn

Anders Johan Prag

Ivan Poupyrev

Patrick M Amihood

John David Jacobs

Devon James O'Reilley Stern

Abel Seleshi Mengistu

Jung Ook Hong

James Brooks Miller

Daniel Marc Gatan Shiplacoff

Christopher Richard Wren

Christoph Emanuel Studer

Lee Brandon Keely

Anthony Sathyam Wickham

Ryan Takashi Chu

Thomas Ramon Karlo

Remington Mcelhaney

Jorim Dorian Jaggi

Julia Claire Reynolds

Winson Ws Chung

Adrian Roos

Christophe François Chu

Matthew Ng

Jonathan Rodrigo Alaura Miranda

This document describes techniques and systems for authentication management through IMU and radar. The techniques and systems use inertial sensor data from an inertial measurement unit (IMU) and/or radar data to manage authentication for a computing device. By so doing, the techniques conserve power, improve accuracy, or reduce latency relative to many common techniques and systems for computing-device authentication.

Authentication management through IMU and radar

Systems and techniques are described for robust radar-based gesture-recognition. A radar system detects radar-based gestures on behalf of application subscribers. A state machine transitions between multiple states based on inertial sensor data. A no-gating state enables the radar system to output radar-based gestures to application subscribers. The state machine also includes a soft-gating state that prevents the radar system from outputting the radar-based gestures to the application subscribers. A hard-gating state prevents the radar system from detecting radar-based gestures altogether. The techniques and systems enable the radar system to determine when not to perform gesture-recognition, enabling user equipment to automatically reconfigure the radar system to meet user demand. By so doing, the techniques conserve power, improve accuracy, or reduce latency relative to many common techniques and systems for radar-based gesture-recognition.

Robust radar-based gesture-recognition by user equipment

A computing device is described that displays a set of graphical elements in a status bar of a graphical user interface. Each graphical element corresponds to a different pending notification. While expanding a notification shade from the status bar, the device displays the graphical elements within an area of the notification shade that is adjacent to a leading edge of the notification shade. Responsive to determining that a particular notification message is newly visible, the device removes, a particular graphical element that corresponds to the particular notification message, and displays the particular graphical element within the particular notification message. In this manner, interaction with the notification area may be more efficient, as during a process of expanding or contracting this area, the user may be informed the underlying state of the set of pending notifications as a whole.

Notification shade with animated reveal of notification indications

Display screen or portion thereof with an animated graphical user interface

Systems and techniques are described for robust radar-based gesture-recognition. A radar system () detects radar-based gestures on behalf of application subscribers. A state machine () transitions between multiple states based on inertial sensor data. A no-gating state () enables the radar system () to output radar-based gestures to application subscribers. The state machine () also includes a soft-gating state () that prevents the radar system () from outputting the radar-based gestures to the application subscribers. A hard-gating state () prevents the radar system () from detecting radar-based gestures altogether. The techniques and systems enable the radar system () to determine when not to perform gesture-recognition, enabling user equipment () to automatically reconfigure the radar system () to meet user demand. By so doing, the techniques conserve power, improve accuracy, or reduce latency relative to many common techniques and systems for radar-based gesture-recognition.

This document describes techniques and systems for reducing a state based on sensor data from an Inertial Measurement Unit (IMU) and radar. The techniques and systems use inertial sensor data from an IMU as well as radar data to reduce states of a user equipment, such as power, access, and information states. These states represent power used, an amount of access permitted, or an amount of information provided by the user equipment. The techniques manage the user equipment's states to correspond to a user's engagement with the user equipment, which can save power, reduce unwarranted access, and reduce an amount of information provided when the user is not engaged with the user equipment, thereby protecting the user's privacy.

Reducing a state based on IMU and radar

Display screen or portion thereof with an animated icon

In general, techniques of this disclosure may enable a computing device to defer output of a reengagement type notification until the computing device determines that a user is likely to engage with the application or service that generated the notification, as opposed to ignoring or dismissing the notification and/or the application or service. In this way, by precisely controlling its output, the described techniques may enable a computing device to increase a likelihood that a reengagement notification will succeed in reengaging a user with the application or service associated with the notification.

Outputting reengagement alerts by a computing device

Display screen or a portion thereof with an animated graphical interface

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San Francisco, CA, United States of America

Selim Flavio Cinek