TOUCH PRESSURE INPUT FOR DEVICES
    2.
    发明申请

    公开(公告)号:US20220350419A1

    公开(公告)日:2022-11-03

    申请号:US17302258

    申请日:2021-04-28

    Applicant: GOOGLE LLC

    Abstract: A computing device, such as a wearable device, may include at least two electrodes mounted on a body. The computing device may determine an electrical signal associated with a circuit that includes the at least two electrodes and the user. A pressure applied to at least one electrode of the at least two electrodes may be determined from the electrical signal, and at least one function of the computing device may be implemented, based on the pressure.

    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

    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.

    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.

    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

    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.

    Touch pressure input for devices
    6.
    发明授权

    公开(公告)号:US11543892B2

    公开(公告)日:2023-01-03

    申请号:US17302258

    申请日:2021-04-28

    Applicant: GOOGLE LLC

    Abstract: A computing device, such as a wearable device, may include at least two electrodes mounted on a body. The computing device may determine an electrical signal associated with a circuit that includes the at least two electrodes and the user. A pressure applied to at least one electrode of the at least two electrodes may be determined from the electrical signal, and at least one function of the computing device may be implemented, based on the pressure.

    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.

    MEASUREMENT OF VITAL SIGNS BASED ON IMAGES RECORDED BY AN EGOCENTRIC CAMERA

    公开(公告)号:US20230086748A1

    公开(公告)日:2023-03-23

    申请号:US17448285

    申请日:2021-09-21

    Applicant: GOOGLE LLC

    Abstract: A method for determining one or more vital signs of a person includes recording video images of a scene with an egocentric camera coupled to the person's body, detecting and magnifying image frame-to-image frame movements in the video images of the scene, representing the magnified image frame-to-image frame movements in the video images of the scene by a one-dimensional (1D) amplitude-versus-time series, and transforming the 1D amplitude-versus-time series representation into a frequency spectrum. The method further includes identifying one or more local frequency maxima in the frequency spectrum as corresponding to one or more vital signs of the person.

Patent Agency Ranking