Google Inc.

Artur Tsurkan

Selim Flavio Cinek

Lucas Dupin Moreira Costa

Vignesh Sachidanandam

Alok Chandel

Leonardo Giusti

Brandon Charles Barbello

Tyler Reed Kugler

Johan Prag

Daniel June Hyung Park

Allyson E Tong

Ivan Poupyrev

Patrick M Amihood

John David Jacobs

Devon James O'Reilley Stern

Jung Ook Hong

Abel Seleshi Mengistu

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

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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Artur Tsurkan