PERSONAL DEVICE SENSING BASED ON MULTIPATH MEASUREMENTS

    公开(公告)号:US20240103119A1

    公开(公告)日:2024-03-28

    申请号:US17934598

    申请日:2022-09-23

    CPC classification number: G01S5/0278 G06N3/0472 G06N3/08

    Abstract: Certain aspects of the present disclosure provide techniques for training and using machine learning models to predict locations of stationary and non-stationary objects in a spatial environment. An example method generally includes measuring, by a device, a plurality of signals within a spatial environment. Timing information is extracted from the measured plurality of signals. Based on a machine learning model, the measured plurality of signals within the spatial environment, and the extracted timing information, locations of stationary reflection points and locations of non-stationary reflection points in the spatial environment are predicted. One or more actions are taken by the device based on predicting the locations of stationary reflection points and non-stationary reflection points in the spatial environment.

    MANAGING AUGMENTED CONTENT POSITION AND TRANSITION STATES

    公开(公告)号:US20240420426A1

    公开(公告)日:2024-12-19

    申请号:US18334272

    申请日:2023-06-13

    Abstract: Techniques and systems are provided for displaying content by an extended reality apparatus. For instance, a process can include receiving content for display, wherein the content is associated with a first object and a first transition, the first transition indicating a change to apply to the content based on a trigger condition; outputting the content for display in association with the first object; determining that the trigger condition has been satisfied; in response to a determination that the trigger condition has been satisfied, modifying the content for presentation based on the first transition; and outputting the modified content for display.

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