Scalable gesture sensor for wearable and soft electronic devices

    公开(公告)号:US12008204B2

    公开(公告)日:2024-06-11

    申请号:US18001830

    申请日:2021-10-04

    Applicant: Google LLC

    CPC classification number: G06F3/0446 G06F3/0488

    Abstract: This document describes techniques directed to a scalable gesture sensor for wearable and soft electronic devices. The scalable gesture sensor is integrated into an object such as a wearable garment or a large-surface embedded system to provide a touch-sensitive surface for the object. The sensor includes a repeated localized crossover pattern formed by the same few sensor lines, resulting in the same two conductive lines having multiple crossover points across the touch-sensitive surface. The repeated crossover pattern enables detection of the occurrence and relative direction of a swipe gesture based at least on a repeated sequence of capacitance changes over a set of conductive lines in the repeated crossover pattern. Also, the scalable gesture sensor is computationally simple, uses low power, and is uniquely scalable to cover a large area with few electrodes.

    Bidirectional and expressive interaction in a hybrid smart watch

    公开(公告)号:US11656579B2

    公开(公告)日:2023-05-23

    申请号:US17023784

    申请日:2020-09-17

    Applicant: Google LLC

    Inventor: Alex Olwal

    CPC classification number: G04B45/0061 G04B19/04 G04C3/14

    Abstract: Aspects of the disclosure provide a hybrid smartwatch that incorporates digital technology with an analog timepiece in a wristwatch form factor. A digital display layer of a non-emissive material is configured to present notices, data, content and other information. An analog display layer includes one or more hands of the timepiece, and overlies the digital display layer. The hands may be controlled by a processor through micro-stepper motors or other actuators. Physical motion of the hands provides expressivity, for instance via visual mechatronic effects. This may include buzzing, clapping, providing stylized visual features, hiding or minimizing information, and revealing information. The information presented on the digital display layer is presented concurrently with the hand movement, in a manner that complements the hand motion. This provides a rich, symbiotic dual-display layer arrangement that enhances the capabilities of the digital and analog display layers.

    CONTEXT-AIDED IDENTIFICATION
    14.
    发明申请

    公开(公告)号:US20230136553A1

    公开(公告)日:2023-05-04

    申请号:US18050329

    申请日:2022-10-27

    Applicant: GOOGLE LLC

    Abstract: Smart devices can be configured to collect and share various forms of context data about where a user is located (e.g., location), what a user will be doing (e.g., schedule), and what a user is currently doing (e.g., activity). This context data may be combined with fingerprint data (e.g., biometrics) to help identify the fingerprint data. For example, a location of a user may help associated speech detected at that location with the user. These associations may be stored in a mapping database that can be updated over time to reduce ambiguities in identification. The mappings in the database may be used to train a machine learning model to recognize fingerprints as identities, which may be useful in applications, such as speaker identification.

    RESPONSE TO SOUNDS IN AN ENVIRONMENT BASED ON CORRELATED AUDIO AND USER EVENTS

    公开(公告)号:US20230132041A1

    公开(公告)日:2023-04-27

    申请号:US18047494

    申请日:2022-10-18

    Applicant: GOOGLE LLC

    Abstract: The disclosed systems and method correlates user behaviors with audio processing to achieve more accurate conclusions about sounds in a user's environment. These conclusions may, in turn, be used to adjust the way a device, such as AR glasses, operate or respond to the sounds. For example, audio events determined from processing speech can be correlated with behavior events determined by sensing a user to improve a speech-to-text transcript of the speech by separating, or otherwise altering, the text in the transcript by speaker.

    User interface visualizations in a hybrid smart watch

    公开(公告)号:US11144014B2

    公开(公告)日:2021-10-12

    申请号:US16487541

    申请日:2019-04-17

    Applicant: Google LLC

    Abstract: Aspects of the disclosure provide a hybrid smartwatch that incorporates digital technology with an analog timepiece in a wristwatch form factor. A digital display layer of a non-emissive material is configured to present notices, data, content and other information. An analog display layer includes one or more hands of the timepiece, and overlies the digital display layer. The hands may be controlled by a processor through micro-stepper motors or other actuators. Physical motion of the hands is simultaneously coupled with arrangement of content or other elements on the display layer, which results in numerous types of hybrid visualizations. This includes temporal presentations using hourly, daily, monthly or other time scales. Shape-shifting of the watch hands between 2D and 1D arrangements can linearly focus on certain information. And various content-aware layouts can highlight, bracket, occlude or otherwise emphasize or deemphasize displayed information.

    Capturing Spatial Sound on Unmodified Mobile Devices with the Aid of an Inertial Measurement Unit

    公开(公告)号:US20250080904A1

    公开(公告)日:2025-03-06

    申请号:US18460280

    申请日:2023-09-01

    Applicant: Google LLC

    Abstract: The present disclosure provides computer-implemented methods, systems, and devices for capturing spatial sound for an environment. A computing system captures, using two or more microphones, audio data from an environment around a mobile device. The computing system analyzes the audio data to identify a plurality of sound sources in the environment around the mobile device based on the audio data. The computing system determines, based on characteristics of the audio data and data produced by one or more movement sensors, an estimated location for each respective sound source in the plurality of sound sources. The computing system generates a spatial sound recording of the audio data based, at least in part, on the estimated location of each respective sound source in the plurality of sound sources.

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