公开(公告)号：US20240231505A1

公开(公告)日：2024-07-11

申请号：US18554337

申请日：2022-04-08

Applicant: Google LLC

Inventor： Eiji Hayashi ,  Jaime Lien ,  Nicholas Edward Gillian ,  Andrew C. Felch ,  Jin Yamanaka ,  Blake Charles Jacquot

IPC: G06F3/01 ,  H04L27/10

CPC classification number: G06F3/017 ,  H04L27/103

Abstract: Techniques and apparatuses are described that facilitate ambient computing using a radar system. Compared to other smart devices that rely on a physical user interface, a smart device with a radar system can support ambient computing by providing an eye-free interaction and less cognitively demanding gesture-based user interface. The radar system can be designed to address a variety of challenges associated with ambient computing, including power consumption, environmental variations, background noise, size, and user privacy. The radar system uses an ambient-computing machine-learned module to quickly recognize gestures performed by a user up to at least two meters away. The ambient-computing machine-learned module is trained to filter background noise and have a sufficiently low false positive rate to enhance the user experience.

公开(公告)号：US12265666B2

公开(公告)日：2025-04-01

申请号：US18554337

申请日：2022-04-08

Applicant: Google LLC

Inventor： Eiji Hayashi ,  Jaime Lien ,  Nicholas Edward Gillian ,  Andrew C. Felch ,  Jin Yamanaka ,  Blake Charles Jacquot

IPC: G06F3/01 ,  H04L27/10

Abstract: Techniques and apparatuses are described that facilitate ambient computing using a radar system. Compared to other smart devices that rely on a physical user interface, a smart device with a radar system can support ambient computing by providing an eye-free interaction and less cognitively demanding gesture-based user interface. The radar system can be designed to address a variety of challenges associated with ambient computing, including power consumption, environmental variations, background noise, size, and user privacy. The radar system uses an ambient-computing machine-learned module to quickly recognize gestures performed by a user up to at least two meters away. The ambient-computing machine-learned module is trained to filter background noise and have a sufficiently low false positive rate to enhance the user experience.

公开(公告)号：US20240280669A1

公开(公告)日：2024-08-22

申请号：US18556816

申请日：2022-05-24

Applicant: Google LLC

Inventor： Andrew C. Felch ,  Shang Shi

IPC: G01S7/41 ,  G01S13/62 ,  G01S13/88 ,  G06F3/01

CPC classification number: G01S7/417 ,  G01S13/62 ,  G01S13/88 ,  G06F3/017

Abstract: Techniques and apparatuses are described that implement a radar application programming interface. The radar application programming interface provides a standardized language for external entities, such as an application a smart device, to communicate with a radar system without having to understand the design and operational complexities employed by the radar system. With the radar application programming interface, a third-party can readily interact with the radar system and customize use the radar system for a variety of different applications. In this way, the radar application programming interface can enable other entities to expand the utilization of the radar system, thereby providing additional features to enhance user experience.