HAND GESTURE RECOGNITION BASED ON DETECTED WRIST MUSCULAR MOVEMENTS

    公开(公告)号:US20220300082A1

    公开(公告)日:2022-09-22

    申请号:US17249966

    申请日:2021-03-19

    申请人: GOOGLE LLC

    IPC分类号: G06F3/01 G06K9/00 G06F1/16

    摘要: 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.

    HAND GESTURE RECOGNITION BASED ON DETECTED WRIST MUSCULAR MOVEMENTS

    公开(公告)号:US20230393665A1

    公开(公告)日:2023-12-07

    申请号:US18174358

    申请日:2023-02-24

    申请人: GOOGLE LLC

    IPC分类号: G06F3/01 G06F1/16 G06V40/20

    摘要: 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.

    Gesture calibration for devices
    7.
    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

    申请人: Google LLC

    IPC分类号: G06F3/01 G06F3/03

    摘要: 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

    申请人: GOOGLE LLC

    IPC分类号: G06F3/01 G06F1/16 G06V40/20

    摘要: 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.