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    Selective Inference Generation with Distributed Machine-Learned Models
    141.
    发明申请
    Selective Inference Generation with Distributed Machine-Learned Models 审中-公开

    公开(公告)号：US20200320416A1

    公开(公告)日：2020-10-08

    申请号：US16839966

    申请日：2020-04-03

    Applicant: Google LLC

    Inventor： Nicholas Gillian ,  Ivan Poupyrev ,  Gerard Pallipuram

    IPC: G06N5/04 ,  G06N20/20

    Abstract: A computing system includes at least a first computing device and a second computing device that is physically separate from the first computing device. The computing devices comprise a plurality of processors and a plurality of non-transitory computer-readable media that collectively store a multi-headed machine-learned model that is distributed across the computing devices. The multi-headed machine-learned model comprises a first model head provisioned at the first computing device and configured to receive sensor data from one or more sensors. The first model head is configured to generate a first set of feature representations based at least in part on the sensor data. The multi-headed machine-learned model comprises a second model head provisioned at the second computing device and configured to generate a second set of feature representations in response to receiving data associated with the first set of feature representations from the first computing device.

    Distributed Machine-Learned Models for Inference Generation Using Wearable Devices
    142.
    发明申请
    Distributed Machine-Learned Models for Inference Generation Using Wearable Devices 审中-公开

    公开(公告)号：US20200320412A1

    公开(公告)日：2020-10-08

    申请号：US16839962

    申请日：2020-04-03

    Applicant: Google LLC

    Inventor： Nicholas Gillian ,  Ivan Poupyrev ,  Gerard Pallipuram

    IPC: G06N5/04 ,  G06N20/00 ,  G06F3/0488 ,  G06F3/044 ,  G06F3/0484

    Abstract: An interactive object includes one or more sensors configured to generate sensor data in response to at least one of a movement of the interactive object or a touch input provided to the interactive object. The interactive object includes at least a first computing device communicatively coupled to the one or more sensors. The first computing device includes one or more non-transitory computer-readable media that store a first model head of a multi-headed machine-learned model that is configured for distribution across a plurality of computing devices including the first computing device. The multi-headed machine-learned model is configured for at least one of a gesture detection or a movement recognition associated with the interactive object. The first model head is configured to selectively generate at least one inference based at least in part on the sensor data and one or more inference criteria.

    Interactive Fabric
    144.
    发明申请
    Interactive Fabric 审中-公开

    公开(公告)号：US20200229515A1

    公开(公告)日：2020-07-23

    申请号：US16843813

    申请日：2020-04-08

    Applicant: Google LLC

    Inventor： Ivan Poupyrev ,  Carsten C. Schwesig ,  Mustafa Emre Karagozler ,  Hakim K. Raja ,  David Scott Allmon ,  Gerard George Pallipuram ,  Shiho Fukuhara ,  Nan-Wei Gong

    IPC: A41D1/00 ,  G06F1/16 ,  D02G3/44 ,  D02G3/12 ,  D03D1/00 ,  G06F3/041 ,  G06F3/044 ,  G06F3/0488

    Abstract: This document describes techniques using, and objects embodying, an interactive fabric which is configured to sense user interactions in the form of single or multi-touch-input (e.g., gestures). The interactive fabric may be integrated into a wearable interactive garment (e.g., a jacket, shirt, or pants) that is coupled (e.g., via a wired or wireless connection) to a gesture manager. The gesture manager may be implemented at the interactive garment, or remote from the interactive garment, such as at a computing device that is wirelessly paired with the interactive garment and/or at a remote cloud based service. Generally, the gesture manager recognizes user interactions to the interactive fabric, and in response, triggers various different types of functionality, such as answering a phone call, sending a text message, creating a journal entry, and so forth.

    Wide-field radar-based gesture recognition
    145.
    发明授权
    Wide-field radar-based gesture recognition 有权

    公开(公告)号：US10664061B2

    公开(公告)日：2020-05-26

    申请号：US16153395

    申请日：2018-10-05

    Applicant: Google LLC

    Inventor： Ivan Poupyrev

    IPC: G06F3/01 ,  G01S7/41 ,  G01S13/88 ,  G06F3/03 ,  G06K9/00

    Abstract: This document describes techniques using, and devices embodying, wide-field radar-based gesture recognition. These techniques and devices can enable a great breadth of gestures and uses for those gestures, such as gestures to use, control, and interact with computing and non-computing devices, from software applications to refrigerators.

    Radar-Based Force Sensing
    149.
    发明申请
    Radar-Based Force Sensing 审中-公开

    公开(公告)号：US20190056276A1

    公开(公告)日：2019-02-21

    申请号：US15681120

    申请日：2017-08-18

    Applicant: Google LLC

    Inventor： Ivan Poupyrev

    IPC: G01L1/04 ,  G01S13/88

    Abstract: This document describes techniques using, and devices embodying, radar-based force sensing. These techniques and devices can enable a great breadth of forces to be measured. Furthermore, radar-based force sensing enables those forces to use, control, and interact with devices.

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