Gesture calibration for devices
    11.
    发明授权

    公开(公告)号:US11347320B1

    公开(公告)日:2022-05-31

    申请号:US17304986

    申请日:2021-06-29

    Applicant: Google LLC

    Abstract: A computing device, such as a wearable device, may include a gesture sensor that generates a gesture signal in response to a gesture of a user performed while the computing device is being worn or held by the user. A calibration sensor may generate a calibration signal characterizing a degree of tightness with which the computing device is being worn or held by the user. The gesture signal may be calibrated using the calibration signal, to obtain a calibrated gesture signal that is calibrated with respect to the degree of tightness. At least one function of the at least one computing device may be implemented, based on the calibrated gesture signal.

    Hand gesture recognition based on detected wrist muscular movements

    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

    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.

    COMPUTATIONAL PHOTOGRAPHY FEATURES WITH DEPTH

    公开(公告)号:US20220414834A1

    公开(公告)日:2022-12-29

    申请号:US17756700

    申请日:2020-05-26

    Applicant: Google LLC

    Inventor: Ruofei Du David Kim

    Abstract: A method including receiving an image as a portion of a real-world space, placing an anchor on the image, determining a position of the anchor, determine a depth associated with the position of the anchor, applying an image editing algorithm based on the depth to the captured image, and rendering the edited image.

    Hand gesture recognition based on detected wrist muscular movements

    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

    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.

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