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.

    Object selection based on eye tracking in wearable device

    公开(公告)号:US11567569B2

    公开(公告)日:2023-01-31

    申请号:US17301588

    申请日:2021-04-08

    申请人: Google LLC

    IPC分类号: G06F3/01 G06V10/75

    摘要: A wearable computing device includes a frame, a camera mounted on the frame so as to capture images of an environment outside of the wearable computing device, a display device mounted on the frame so as to display the images captured by the camera, and at least one eye gaze tracking device mounted on the frame so as to track a gaze directed at the images displayed by the display device. In response to the detection of a fixation of the gaze on the display of images, the system may identify a pixel area corresponding to a fixation point of the fixation gaze on the display of images. The system may identify an object in the ambient environment corresponding to the identified pixel area, and set the identified object as a selected object for user interaction.

    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.