Radar tracking with greater than range resolution precision

    公开(公告)号:US12235341B2

    公开(公告)日:2025-02-25

    申请号:US17543727

    申请日:2021-12-06

    Abstract: To track an object with radar, and achieve greater than range resolution precision, the phase of a difference signal can be utilized and adjusted as the tracked object crosses between resolution ranges. Changes in the object's distance can be detected with greater than range resolution precision by utilizing the phase. Such changes can iteratively inform the determined distance across multiple phase cycles within a single distance range. As the movement of the object approaches, and then crosses, between resolution ranges, the phase as determined within an origin resolution range can be compared with a coincident phase within the destination resolution range and the difference can then be utilized to adjust the phase as the object then remains within the destination resolution range. Such phase adjustments can be applied across multiple resolution ranges, allowing for the tracking of an object, utilizing radar, while achieving greater than range resolution precision.

    Head mounted device with segmented chassis

    公开(公告)号:US11829522B1

    公开(公告)日:2023-11-28

    申请号:US17664807

    申请日:2022-05-24

    CPC classification number: G06F3/012 G06F3/017 H01Q1/273 H01Q5/314

    Abstract: A head-mounted device (HMD) has a segmented metal chassis including a plurality of physically separate radio frequency (RF) antennas corresponding to different head regions. The HMD further includes a plurality of RF transceivers, each electrically connected to a corresponding RF antenna. Each RF transceiver is configured to drive the corresponding RF antenna with a drive signal at a frequency within a resonant frequency band of the corresponding RF antenna and sense a frequency response to the drive signal. The HMD further includes a plurality of notch filter circuits, each electrically connected in series with a corresponding RF antenna. Each notch filter is configured to attenuate signals at frequencies within the resonant frequency band of the corresponding RF antenna and pass signals at frequencies outside of the resonant frequency band, such that the segmented metal chassis functions as a common ground plane.

    RF retroreflector based controller tracking for VR headsets

    公开(公告)号:US12158515B2

    公开(公告)日:2024-12-03

    申请号:US17480939

    申请日:2021-09-21

    Abstract: Systems and methods are provided for tracking a passive controller system using an active sensor system within a mixed-reality environment. The passive controller system includes a body configured to be held in a hand of a user, as well as a plurality of retroreflectors that collectively provides at least 180 degrees of reflecting surface for reflecting a radar signal in at least 180 degrees of spherical range when the passive controller system is positioned within a predetermined distance from a source of the radar signal and with an orientation that is within the at least 180 degrees of spherical range relative to the source of the radar signal. Signals transmitted to the passive controller and reflected back from the passive controller are used to calculate the position and orientation of the passive controller system relative to the active sensor system.

    Conductive matter movement tracking using RF sensors

    公开(公告)号:US12073021B1

    公开(公告)日:2024-08-27

    申请号:US18170313

    申请日:2023-02-16

    CPC classification number: G06F3/014 A61B5/05 A61B5/1126 A61B5/6826 G06T11/00

    Abstract: A wearable device that tracks body movement is disclosed. The device includes a housing and a connection member. The connection member is coupled to the housing, and the connection member enables the device to be coupled to a user's body part. This body part is associated with the conductive matter. The device includes an RF sensor in the housing. The RF sensor oscillates at a preselected frequency. The RF sensor is tuned to resonate when the RF sensor is located a preselected distance from the conductive matter. As the conductive matter moves closer or farther from the RF sensor based on user movement, a resulting waveform generated based on data from the RF sensor is modified, and the resulting waveform is usable to determine how the user moved.

    Surface sensing via resonant sensor

    公开(公告)号:US11614345B2

    公开(公告)日:2023-03-28

    申请号:US17349711

    申请日:2021-06-16

    Abstract: Examples are disclosed that relate to sensing a position of a surface proximate to a resonant LC sensor. One example provides a method on a sensing device comprising one or more resonant LC sensors each configured to output a signal responsive to a position of a surface proximate to the resonant LC sensor. The method comprises, for each LC sensor, generating an oscillating signal on an antenna of the resonant LC sensor and detecting a near-field response of the resonant LC sensor at a selected frequency.

    RF antenna scanning for human movement classification

    公开(公告)号:US11914093B2

    公开(公告)日:2024-02-27

    申请号:US17643141

    申请日:2021-12-07

    CPC classification number: G01V3/088 G01V3/38 G06F3/012

    Abstract: A method for human movement classification includes a plurality of radio frequency (RF) antennas to expose a body surface of a human user to an E-field, at least a part of the human user positioned within a near-field region relative to the RF antennas. The plurality of RF antennas are scanned to determine ground-relative changes in electrical conditions. A differential-scanning subset of RF antennas are selected, including two or more RF antennas for which the changes in electrical conditions exceed a threshold. For each RF antenna in the differential-scanning subset, a set of antenna-relative changes in electrical conditions are determined by comparing the RF antenna to one or more other RF antennas in the differential-scanning subset as a plurality of pairs. Based at least in part on the ground-relative changes in electrical conditions and the antenna-relative changes in electrical conditions, a movement performed by the human user is classified.

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