Google Inc.

Lucas Dupin Moreira Costa

Selim Flavio Cinek

Artur Tsurkan

Vignesh Sachidanandam

Alok Chandel

Leonardo Giusti

Brandon Charles Barbello

Tyler Reed Kugler

Johan Prag

James Gundersen

Rohan Ketan Shah

John Thomas DiMartile, Iii

Jonas Alon Naimark

Daniel June Hyung Park

Allyson E Tong

Andy Anderson Stewart

Anthony Nicholas Robledo

Sumir Kataria

Ayad Aliomer

John Reck

André Labonté

Daniel Nizri

Amanda Alexander

Chris Joel

Ivan Poupyrev

Patrick M Amihood

John David Jacobs

Devon James O'Reilley Stern

Stefan Frank

Shan Huang

Jung Ook Hong

Abel Seleshi Mengistu

Selim Cinek

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

Display screen with 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 a portion thereof with an animated graphical interface

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Mountain View, CA, United States of America

Lucas Dupin Moreira Costa