公开(公告)号：US20250166036A1

公开(公告)日：2025-05-22

申请号：US18838529

申请日：2022-02-14

Applicant: Google LLC

Inventor： Jingying Hu ,  Gerard Pallipuram ,  Tong Wu ,  Sriram Krishna Parameswar ,  Ivan Poupyrev

IPC: G06Q30/0601

Abstract: The present disclosure is directed to servicing audiences based on object preferences displayed by the audience. The method includes receiving, by a first party computing system, a user communication from a user device associated with a user. The user communication includes a sensor identifier and a user identifier. The sensor identifier corresponds to a physical device associated with at least one item. The method include determining a user-item association based, at least in part, on the sensor identifier and the user identifier. The method includes determining an item interest level for the at least one item based, at least in part, on the user-item association. And, the method includes initiating an action based, at least in part, on the item interest level.

公开(公告)号：US20250166015A1

公开(公告)日：2025-05-22

申请号：US18838547

申请日：2022-02-14

Applicant: Google LLC

Inventor： Jingying Hu ,  Tong Wu ,  Sriram Krishna Parameswar ,  Gerard Pallipuram ,  Ivan Poupyrev

IPC: G06Q30/0251

Abstract: The present disclosure is directed to servicing mobile devices at a point of interest. The method includes receiving a plurality of beacon broadcasts with beacon identifiers corresponding to first party beacons within a physical location associated with a merchant. The method includes detecting a triggering event associated with at least one of the one or more beacon identifiers. The method includes generating a user communication for a first party computing system associated with the merchant. The user communication includes data indicative of the at least one beacon identifier. The method includes receiving a first party advertising communication indicative of a first party item associated with the at least one beacon identifier. In response to the first party advertising communication, the method includes providing, for display, data indicative of the first party item associated with the at least one beacon identifier.

公开(公告)号：US12093463B2

公开(公告)日：2024-09-17

申请号：US17822277

申请日：2022-08-25

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

CPC classification number: G06F3/017 ,  G01S7/415 ,  G01S13/06 ,  G06F3/011 ,  H04M1/724631 ,  H04M1/72454 ,  H04M1/724634

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：US12073028B2

公开(公告)日：2024-08-27

申请号：US18174358

申请日：2023-02-24

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

CPC classification number: G06F3/017 ,  G06F1/163 ,  G06F3/014 ,  G06V40/28

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：US11868537B2

公开(公告)日：2024-01-09

申请号：US17661494

申请日：2022-04-29

Applicant: Google LLC

Inventor： Jung Ook Hong ,  Patrick M. Amihood ,  John David Jacobs ,  Abel Seleshi Mengistu ,  Leonardo Giusti ,  Vignesh Sachidanandam ,  Devon James O'Reilley Stern ,  Ivan Poupyrev ,  Brandon Barbello ,  Tyler Reed Kugler ,  Johan Prag ,  Artur Tsurkan ,  Alok Chandel ,  Lucas Dupin Moreira Costa ,  Selim Flavio Cinek

IPC: G06F3/01 ,  G06V40/20

CPC classification number: G06F3/017 ,  G06V40/28

Abstract: 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.

公开(公告)号：US11809666B2

公开(公告)日：2023-11-07

申请号：US18089139

申请日：2022-12-27

Applicant: Google LLC

Inventor： Munehiko Sato ,  Ivan Poupyrev ,  Shozo Harada ,  Shiho Fukuhara

IPC: G06F3/044

CPC classification number: G06F3/0444 ,  G06F3/0447 ,  G06F3/0448

Abstract: An interactive cord includes one or more touch-sensitive areas configured to detect user input and one or more non-touch-sensitive areas. An outer cover of the interactive cord includes a set of conductive lines braided together with one or more of a plurality of non-conductive lines at the touch-sensitive area. The set of conductive lines defines a plurality of intersections that each form a capacitive touchpoint at the touch-sensitive area. An inner core of the interactive cord includes at least the set of conductive lines and at least one of the plurality of non-conductive lines at the non-touch-sensitive area.

公开(公告)号：US11755157B2

公开(公告)日：2023-09-12

申请号：US16772271

申请日：2019-08-22

Applicant: Google LLC

Inventor： Ivan Poupyrev ,  Kishore Sundara-Rajan ,  Tong Wu ,  Mustafa Emre Karagozler ,  Brendon Allen Beardsley

IPC: G06F3/044 ,  D03D15/533 ,  D03D1/00

CPC classification number: G06F3/0446 ,  D03D1/0088 ,  D03D15/533 ,  G06F2203/04102 ,  G06F2203/04103 ,  G06F2203/04107

Abstract: A pre-fabricated sensor assembly for an interactive object including an object substrate is provided. The pre-fabricated sensor assembly includes a touch sensor comprising a plurality of flexible sensing elements, a first electronics module comprising sensing circuitry in electrical communication with the plurality of flexible sensing elements, a communication interface comprising a first end portion coupled to the first electronics module and comprising a second end portion, a receptacle coupled to the second end portion of the communication interface, and one or more flexible retaining layers that define a housing for a first portion of the pre-fabricated sensor assembly. The first portion of the pre-fabricated sensor assembly can include at least a portion of each of the plurality of flexible sensing elements.

公开(公告)号：US20230279589A1

公开(公告)日：2023-09-07

申请号：US18010327

申请日：2021-08-20

Applicant: Google LLC

Inventor： Tong Wu ,  Ivan Poupyrev ,  Xiaoyu Guo ,  Shiho Fukuhara ,  Shozo Harada ,  Adam Bernstein

IPC: D04C1/02 ,  G06F3/041

CPC classification number: D04C1/02 ,  G06F3/04164 ,  D10B2401/16 ,  D10B2401/18 ,  G06F2203/04103

Abstract: An interactive cord can include a plurality of non-conductive lines and a plurality of conductive lines arranged together in a first longitudinal portion to form a touch-sensitive area within a first longitudinal portion of the interactive cord. A non-touch-sensitive area can be formed in a second longitudinal portion such in which the plurality of conductive lines is not exposed along an outer surface of the outer layer. The plurality of conductive lines can be arranged together with the one or more of the plurality of non-conductive lines within a third longitudinal portion. The second longitudinal portion can be arranged between the first longitudinal portion and the third longitudinal portion with respect to a longitudinal direction of the interactive cord. The third longitudinal portion can be open along the longitudinal direction to form a pair longitudinal edges of the outer layer that extend in the longitudinal direction of the interactive cord.

公开(公告)号：US11709552B2

公开(公告)日：2023-07-25

申请号：US17023122

申请日：2020-09-16

Applicant: Google LLC ,  The Board of Trustees of the Leland Stanford Junior University

Inventor： Jaime Lien ,  Erik M. Olson ,  Patrick M. Amihood ,  Ivan Poupyrev

IPC: G06F3/01 ,  G01S7/41 ,  G01S13/88 ,  G01S13/58 ,  G01S13/89 ,  G01S13/66

CPC classification number: G06F3/017 ,  G01S7/415 ,  G01S13/58 ,  G01S13/66 ,  G01S13/88 ,  G01S13/89 ,  G06F3/011

Abstract: This document describes techniques for radio frequency (RF) based micro-motion tracking. These techniques enable even millimeter-scale hand motions to be tracked. To do so, radar signals are used from radar systems that, with conventional techniques, would only permit resolutions of a centimeter or more.

公开(公告)号：US11698438B2

公开(公告)日：2023-07-11

申请号：US17488015

申请日：2021-09-28

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.