APPARATUS AND METHOD FOR DETECTING DEVICE DROP

    公开(公告)号:US20240192249A1

    公开(公告)日:2024-06-13

    申请号:US18202796

    申请日:2023-05-26

    CPC classification number: G01P15/18 G01P3/44

    Abstract: A method for detecting a drop event of an electronic device, may include: obtaining an angular velocity and a proper acceleration of the electronic device based on sensor data received from an inertial measurement unit (IMU) sensor of the electronic device; obtaining centripetal acceleration of the electronic device based on the angular velocity, principal moments of inertia of the electronic device, and position of the IMU sensor within the electronic device; based on an acceleration difference between the centripetal acceleration and the proper acceleration, determining whether the electronic device is in a fall state; and based on the electronic device being determined to be in the fall state, providing an analysis result of the drop event.

    Wireless receive signal strength indicator (RSSI)-based positioning

    公开(公告)号:US12265167B2

    公开(公告)日:2025-04-01

    申请号:US17930644

    申请日:2022-09-08

    Abstract: A method includes receiving wireless fingerprint data identifying multiple locations within a specified area and, for each location, one or more signal strength values associated with wireless signals received from one or more of multiple wireless transmitters. The wireless fingerprint data is missing signal strength values for one or more transmitters at one or more specific locations. The method also includes generating a training dataset by adding filler signal strength values in place of at least some missing values. The method further includes training a machine learning model using the training dataset. The model is trained to receive a specified location as input and generate predicted signal strength values as outputs. In addition, the method includes using the trained model to generate additional signal strength values. At least some additional signal strength values are to be used in place of at least a portion of the missing values.

    SYSTEM AND METHOD FOR MEASURING PROXIMITY BETWEEN DEVICES USING ACOUSTICS

    公开(公告)号:US20230417890A1

    公开(公告)日:2023-12-28

    申请号:US17931455

    申请日:2022-09-12

    CPC classification number: G01S11/14 G01H3/08 H04B7/00

    Abstract: A method includes emitting a sound by a first device. The method also includes receiving a recorded sound at the first device, where the recorded sound includes a recording of the emitted sound by a second device. The method further includes determining an intermediate frequency (IF) signal based on the emitted sound and the recorded sound. The method also includes determining a distance between the first device and the second device based on a frequency of the IF signal and one or more characteristics of the emitted sound. In addition, the method includes presenting the determined distance.

    WIRELESS RECEIVE SIGNAL STRENGTH INDICATOR (RSSI)-BASED POSITIONING

    公开(公告)号:US20230417862A1

    公开(公告)日:2023-12-28

    申请号:US17930644

    申请日:2022-09-08

    CPC classification number: G01S5/02521 H04W64/003

    Abstract: A method includes receiving wireless fingerprint data identifying multiple locations within a specified area and, for each location, one or more signal strength values associated with wireless signals received from one or more of multiple wireless transmitters. The wireless fingerprint data is missing signal strength values for one or more transmitters at one or more specific locations. The method also includes generating a training dataset by adding filler signal strength values in place of at least some missing values. The method further includes training a machine learning model using the training dataset. The model is trained to receive a specified location as input and generate predicted signal strength values as outputs. In addition, the method includes using the trained model to generate additional signal strength values. At least some additional signal strength values are to be used in place of at least a portion of the missing values.

    APPARATUS AND METHOD FOR PERFORMING COLLISION ANALYSIS

    公开(公告)号:US20240220684A1

    公开(公告)日:2024-07-04

    申请号:US18201425

    申请日:2023-05-24

    CPC classification number: G06F30/27 G06F2119/14

    Abstract: An electronic device may be provided to perform collision analysis. The electronic device may be configured to: receive sensor data from an inertial-measuring-unit (IMU) sensor; detect that a collision event has occurred based on the sensor data and detect collision data from the sensor data; input the collision data into a collision classification model that is trained to predict a collision material type and a collision intensity of the collision event; and determine an action to be performed by the electronic device based on the collision material type and the collision intensity of the collision event.

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