公开(公告)号：US12270898B2

公开(公告)日：2025-04-08

申请号：US17765970

申请日：2019-10-17

Applicant: Google LLC

Inventor： Chih Yu Chen ,  YungSheng Chang ,  Ivan Poupyrev

IPC: G01S13/931 ,  G01S7/04 ,  G01S13/58

Abstract: Techniques and apparatuses are described that implement a smart-device-based radar system capable of determining characteristics of objects external to a vehicle, occupants within a vehicle, and objects proximal to an open-air vehicle. In particular, the system enables a smart device to perform many vehicle operations such as collision avoidance, occupant detection, and parking assistance in vehicle and open-air vehicle environments without integrated radar technology. By using a smart device to perform such actions, existing vehicles and open-air vehicles without integrated radar functionality may be able to leverage radar-based vehicle operations.

公开(公告)号：US20240370096A1

公开(公告)日：2024-11-07

申请号：US18775227

申请日：2024-07-17

Applicant: Google LLC

Inventor： Vignesh Sachidanandam ,  Ivan Poupyrev ,  Leonardo Giusti ,  Devon James O'Reilley Stern ,  Jung Ook Hong ,  Patrick M. Amihood ,  John David Jacobs ,  Abel Seleshi Mengistu ,  Brandon Barbello ,  Tyler Reed Kugler

IPC: G06F3/01 ,  G01S7/41 ,  G01S13/06 ,  H04M1/72454 ,  H04M1/72463

Abstract: This document describes techniques and systems for radar-based gesture-recognition with context-sensitive gating and other context-sensitive controls. Sensor data from a proximity sensor and/or a movement sensor produces a context of a user equipment. The techniques and systems enable the user equipment to recognize contexts when a radar system can be unreliable and should not be used for gesture-recognition, enabling the user equipment to automatically disable or “gate” the output from the radar system according to context. The user equipment prevents the radar system from transitioning to a high-power state to perform gesture-recognition in contexts where radar data detected by the radar system is likely due to unintentional input. By so doing, the techniques conserve power, improve accuracy, or reduce latency relative to many common techniques and systems for radar-based gesture-recognition.

公开(公告)号：US12085670B2

公开(公告)日：2024-09-10

申请号：US18312509

申请日：2023-05-04

Applicant: Google LLC

Inventor： Patrick M. Amihood ,  Ivan Poupyrev

IPC: G01S13/04 ,  A63F13/21 ,  A63F13/24 ,  G01S7/40 ,  G01S7/41 ,  G01S13/56 ,  G01S13/66 ,  G01S13/86 ,  G01S13/88 ,  G01S13/90 ,  G06F3/01 ,  G06F3/04815 ,  G06F16/245 ,  G06F18/21 ,  G06F18/25 ,  G06F18/28 ,  G06F18/40 ,  G06F21/32 ,  G06F21/62 ,  G06N20/00 ,  G06V10/80 ,  G06V20/64 ,  G06V40/20 ,  H04Q9/00 ,  H04W4/80 ,  H04W16/28 ,  G01S13/931 ,  G01S19/42 ,  G06F1/16 ,  G06F3/0346 ,  G06F3/0484 ,  G06F3/16 ,  G06T7/73 ,  G08C17/02

CPC classification number: G01S7/415 ,  A63F13/21 ,  A63F13/24 ,  G01S7/4004 ,  G01S7/41 ,  G01S7/412 ,  G01S13/56 ,  G01S13/66 ,  G01S13/86 ,  G01S13/867 ,  G01S13/88 ,  G01S13/888 ,  G01S13/90 ,  G01S13/904 ,  G06F3/011 ,  G06F3/017 ,  G06F3/04815 ,  G06F16/245 ,  G06F18/217 ,  G06F18/25 ,  G06F18/253 ,  G06F18/28 ,  G06F18/41 ,  G06F21/32 ,  G06F21/6245 ,  G06N20/00 ,  G06V10/806 ,  G06V20/64 ,  G06V40/28 ,  H04Q9/00 ,  H04W4/80 ,  H04W16/28 ,  A63F2300/8082 ,  G01S13/865 ,  G01S13/931 ,  G01S2013/9322 ,  G01S19/42 ,  G06F1/163 ,  G06F3/0346 ,  G06F3/0484 ,  G06F3/165 ,  G06F2203/0384 ,  G06F2221/2105 ,  G06T7/75 ,  G08C17/02 ,  G08C2201/93 ,  H04Q2209/883

Abstract: Techniques are described herein that enable advanced gaming and virtual reality control using radar. These techniques enable small motions and displacements to be tracked, even in the millimeter or submillimeter scale, for user control actions even when those actions are optically occluded or obscured.

公开(公告)号：US20240054126A1

公开(公告)日：2024-02-15

申请号：US18495648

申请日：2023-10-26

Applicant: Google LLC

Inventor： Ivan Poupyrev ,  Gaetano Roberto Aiello

IPC: G06F16/242 ,  G06F3/01 ,  G06F16/29 ,  G06F16/248 ,  G06F16/2457 ,  G06F16/9537

CPC classification number: G06F16/242 ,  G06F3/017 ,  G06F16/29 ,  G06F16/248 ,  G06F16/24575 ,  G06F16/9537

Abstract: This document describes techniques and devices for a radar recognition-aided search. Through use of a radar-based recognition system, gestures made by, and physiological information about, persons can be determined. In the case of physiological information, the techniques can use this information to refine a search. For example, if a person requests a search for a coffee shop, the techniques may refine the search to coffee shops in the direction that the person is walking. In the case of a gesture, the techniques may refine or base a search solely on the gesture. Thus, a search for information about a store, car, or tree can be made responsive to a gesture pointing at the store, car, or tree with or without explicit entry of a search query.

公开(公告)号：US11775050B2

公开(公告)日：2023-10-03

申请号：US16487652

申请日：2018-06-18

Applicant: Google LLC

Inventor： Ivan Poupyrev ,  Daniel Kaufman

IPC: G06F3/01 ,  A61B5/11 ,  G06F1/16 ,  A43B3/34

CPC classification number: G06F3/011 ,  A43B3/34 ,  A61B5/1118 ,  G06F1/163 ,  A61B2562/0219

Abstract: Embodiments of the disclosed technology are directed to classifying motion data collected by wearable sensors. Motion data collected by a first wearable motion sensor and a second wearable motion sensor during the performance of an activity can be obtained. The motion data from the first wearable motion sensor can include data associated with one or more first motion primitives and the second motion data collected by the second wearable motion sensor can include data associated with one or more second motion primitives. The first motion data and the second motion data can be synchronized based at least in part on time stamp information. Data associated with a signature motion classification associated with the activity can be determined based at least in part on the one or more first motion primitives and the one or more second motion primitives.

公开(公告)号：US11693092B2

公开(公告)日：2023-07-04

申请号：US17523051

申请日：2021-11-10

Applicant: Google LLC

Inventor： Jaime Lien ,  Nicholas Edward Gillian ,  Ivan Poupyrev

IPC: G09G5/00 ,  G01S7/41 ,  G01S13/56 ,  G01S13/86 ,  H04Q9/00 ,  G01S13/88 ,  G06F21/32 ,  G06F3/04815 ,  G01S7/40 ,  H04W4/80 ,  G06N20/00 ,  H04W16/28 ,  G01S13/90 ,  G06V20/64 ,  G06V40/20 ,  G06F18/25 ,  G06F18/28 ,  G06F18/40 ,  G06F18/21 ,  G06V10/80 ,  G06F16/245 ,  G06F3/01 ,  G06F21/62 ,  A63F13/21 ,  A63F13/24 ,  G01S13/66 ,  G08C17/02 ,  G06T7/73 ,  G01S13/931 ,  G06F1/16 ,  G06F3/0484 ,  G01S19/42 ,  G06F3/0346 ,  G06F3/16

CPC classification number: G01S7/415 ,  A63F13/21 ,  A63F13/24 ,  G01S7/4004 ,  G01S7/41 ,  G01S7/412 ,  G01S13/56 ,  G01S13/66 ,  G01S13/86 ,  G01S13/867 ,  G01S13/88 ,  G01S13/888 ,  G01S13/90 ,  G01S13/904 ,  G06F3/011 ,  G06F3/017 ,  G06F3/04815 ,  G06F16/245 ,  G06F18/217 ,  G06F18/25 ,  G06F18/253 ,  G06F18/28 ,  G06F18/41 ,  G06F21/32 ,  G06F21/6245 ,  G06N20/00 ,  G06V10/806 ,  G06V20/64 ,  G06V40/28 ,  H04Q9/00 ,  H04W4/80 ,  H04W16/28 ,  A63F2300/8082 ,  G01S13/865 ,  G01S13/931 ,  G01S19/42 ,  G01S2013/9322 ,  G06F1/163 ,  G06F3/0346 ,  G06F3/0484 ,  G06F3/165 ,  G06F2203/0384 ,  G06F2221/2105 ,  G06T7/75 ,  G08C17/02 ,  G08C2201/93 ,  H04Q2209/883

Abstract: Various embodiments wirelessly detect micro gestures using multiple antenna of a gesture sensor device. At times, the gesture sensor device transmits multiple outgoing radio frequency (RF) signals, each outgoing RF signal transmitted via a respective antenna of the gesture sensor device. The outgoing RF signals are configured to help capture information that can be used to identify micro-gestures performed by a hand. The gesture sensor device captures incoming RF signals generated by the outgoing RF signals reflecting off of the hand, and then analyzes the incoming RF signals to identify the micro-gesture.

公开(公告)号：US11592908B2

公开(公告)日：2023-02-28

申请号：US17249966

申请日：2021-03-19

Applicant: GOOGLE LLC

Inventor： Dongeek Shin ,  Shahram Izadi ,  David Kim ,  Sofien Bouaziz ,  Steven Benjamin Goldberg ,  Ivan Poupyrev ,  Shwetak N. Patel

IPC: G06F3/01 ,  G06F1/16 ,  G06V40/20

Abstract: Techniques of identifying gestures include detecting and classifying inner-wrist muscle motions at a user's wrist using micron-resolution radar sensors. For example, a user of an AR system may wear a band around their wrist. When the user makes a gesture to manipulate a virtual object in the AR system as seen in a head-mounted display (HMD), muscles and ligaments in the user's wrist make small movements on the order of 1-3 mm. The band contains a small radar device that has a transmitter and a number of receivers (e.g., three) of electromagnetic (EM) radiation on a chip (e.g., a Soli chip. This radiation reflects off the wrist muscles and ligaments and is received by the receivers on the chip in the band. The received reflected signal, or signal samples, are then sent to processing circuitry for classification to identify the wrist movement as a gesture.

公开(公告)号：US11481040B2

公开(公告)日：2022-10-25

申请号：US17361824

申请日：2021-06-29

Applicant: Google LLC

Inventor： Nicholas Edward Gillian ,  Jaime Lien ,  Patrick M. Amihood ,  Ivan Poupyrev

IPC: G06F3/01 ,  G01S7/41 ,  G01S13/56 ,  G01S13/86 ,  H04Q9/00 ,  G06K9/62 ,  G01S13/88 ,  G06F21/32 ,  G06F3/04815 ,  G01S7/40 ,  H04W4/80 ,  G06N20/00 ,  H04W16/28 ,  G01S13/90 ,  G06V20/64 ,  G06V40/20 ,  G06F16/245 ,  G06F21/62 ,  A63F13/21 ,  A63F13/24 ,  G01S13/66 ,  G08C17/02 ,  G06T7/73 ,  G01S13/931 ,  G06F1/16 ,  G06F3/0484 ,  G01S19/42 ,  G06F3/0346 ,  G06F3/16

Abstract: Various embodiments dynamically learn user-customizable input gestures. A user can transition a radar-based gesture detection system into a gesture-learning mode. In turn, the radar-based gesture detection system emits a radar field configured to detect a gesture new to the radar-based gesture detection system. The radar-based gesture detection system receives incoming radio frequency (RF) signals generated by the outgoing RF signal reflecting off the gesture, and analyzes the incoming RF signals to learn one or more identifying characteristics about the gesture. Upon learning the identifying characteristics, the radar-based gesture detection system reconfigures a corresponding input identification system to detect the gesture when the one or more identifying characteristics are next identified, and transitions out of the gesture-learning mode.

公开(公告)号：US20220113394A1

公开(公告)日：2022-04-14

申请号：US17069633

申请日：2020-10-13

Applicant: Google LLC

Inventor： Dongeek Shin ,  Ivan Poupyrev

IPC: G01S13/50 ,  G06N20/00 ,  G01S13/44

Abstract: Techniques and apparatuses are described that implement a smart-device-based radar system capable of performing location tagging. The radar system has sufficient spatial resolution to recognize different external environments associated with different locations (e.g., recognize different rooms or different locations within a same room). Using the radar system, the smart device can achieve spatial awareness and automatically activate user-programmed applications or settings associated with the different locations. In this way, the radar system enables the smart device to provide a location-specific shortcut for various applications or settings. With the location-specific shortcut, the smart device can improve the user's experience and reduce the need to repeatedly navigate cumbersome interfaces.

公开(公告)号：US20220036863A1

公开(公告)日：2022-02-03

申请号：US17504323

申请日：2021-10-18

Applicant: Google LLC

Inventor： Leonardo Giusti ,  Ivan Poupyrev ,  Brandon Barbello ,  Patrick M. Amihood

IPC: G09G5/38 ,  G01S7/41 ,  G01S13/42 ,  G06F3/01 ,  H04M1/724

Abstract: This document describes techniques and systems that enable a smartphone providing radar-based proxemic context. The techniques and systems use a radar field to accurately determine a user's location and/or physical orientation with respect to an electronic device, such as a smartphone. The radar field also enables the device to receive 3D gestures from the user to interact with the device. The techniques allow the device to provide functionality based on the user's presence and/or orientation, and to appropriately adjust the timing, content, and format of the device's interactions with the user.