Google Inc.

Biomobie Corporation

Jian Wang

Jaime Lien

Jiang Zhu

Jonathan Tilton Barron

Arnold Robert Feldman

Nicholas Edward Gillian

Jiawen Chen

Changzhan Gu

Tianfan Xue

Maryam Tabesh

David J Weber

Edmond Ku

Devices are provided that include radar circuits arranged to send and receive radar signals that can be used to, for example, detect gestures performed in the vicinity of the device. Arrangements of the circuits and associated antennas allow for the device to have no bezel or a minimal bezel.

Human and gesture sensing in a computing device

Techniques and apparatuses are described that implement a smart-device-based radar system capable of detecting user gestures in the presence of saturation. In particular, a radar system employs machine learning to compensate for distortions resulting from saturation. This enables gesture recognition to be performed while the radar system's receiver is saturated. As such, the radar system can forgo integrating an automatic gain control circuit to prevent the receiver from becoming saturated. Furthermore, the radar system can operate with higher gains to increasing sensitivity without adding additional antennas. By using machine learning, the radar system's dynamic range increases, which enables the radar system to detect a variety of different types of gestures having small or large radar cross sections, and performed at various distances from the radar system.

Saturation compensation using a smart-device-based radar system

Growing community of inventors

Cupertino, CA, United States of America

Jian Wang