Lid angle detection
    31.
    发明授权

    公开(公告)号:US12259760B2

    公开(公告)日:2025-03-25

    申请号:US18183464

    申请日:2023-03-14

    Abstract: The present disclosure is directed to a device and method for lid angle detection that is accurate even if the device is activated in an upright position. While the device is in a sleep state, first and second sensor units measure acceleration and angular velocity, and calculate orientations of respective lid components based on the acceleration and angular velocity measurements. Upon the device exiting the sleep state, a processor estimates the lid angle using the calculated orientations, sets the estimated lid angle as an initial lid angle, and updates the initial lid angle using, for example, two accelerometers; two accelerometers and two gyroscopes; two accelerometers and two magnetometers; or two accelerometers, two gyroscopes, and two magnetometers.

    SYSTEM AND METHOD FOR DETERMINING WHETHER AN ELECTRONIC DEVICE IS LOCATED ON A STATIONARY OR STABLE SURFACE

    公开(公告)号:US20250068263A1

    公开(公告)日:2025-02-27

    申请号:US18944811

    申请日:2024-11-12

    Abstract: A method includes receiving electrostatic sensor data in a processor of an electronic device from an electrostatic sensor mounted behind a touchscreen of the electronic device and using the electrostatic sensor data to determine when the touchscreen is being used. Based on whether or not the touchscreen is being used, an on-table detection (OTD) algorithm is selected from a plurality of available OTD algorithms. In one or more examples, the OTD algorithm may also be selected based on the current device mode of the electronic device, which may be determined from a lid angle, a screen angle, and a keyboard angle of the electronic device. The selected OTD algorithm is run to determine whether or not the electronic device is located on a stationary or stable surface.

    Detection method of a user of an apparatus for controlling one or more functionalities of the apparatus

    公开(公告)号:US12007521B2

    公开(公告)日:2024-06-11

    申请号:US17867175

    申请日:2022-07-18

    CPC classification number: G01V3/088 H02J50/20

    Abstract: A detection method of a user of an apparatus is provided in which the apparatus is coupled to a charge variation sensor having a control unit and an electrode to detect an electric/electrostatic charge variation of the user. The detection method includes acquiring, through the electrode, a charge variation signal indicative of the presence of the user. A filtered signal is generated by filtering the charge variation signal. A feature signal is generated as a function of the filtered signal. A movement signal indicative of a movement of the user is generated as a function of the feature signal. A presence signal indicative of the presence of the user is generated as a function of the movement signal.

    Predictive data-reconstruction system and method for a pointing electronic device

    公开(公告)号:US11592911B2

    公开(公告)日:2023-02-28

    申请号:US17191320

    申请日:2021-03-03

    Abstract: A pointing electronic device is provided with: an inertial measurement module, to generate motion input data, indicative of motion of the pointing electronic device, at an input data rate; a pointing determination unit, to implement a pointing algorithm at a processing data rate based on the motion input data, to generate screen-frame displacement data corresponding to 3D-space movements of the pointing electronic device, the processing data rate being higher than the input data rate. The pointing electronic device is further provided with a rate upscaling unit, interposed between the inertial measurement module and the pointing determination unit, to implement a data-rate upscaling of the motion input data, in order to generate upscaled motion input data to be processed by the pointing determination unit at a data rate matching the processing data rate, via a predictive data reconstruction of missing samples based on the actual motion input data.

    Method for detecting a wrist-tilt gesture and an electronic unit and a wearable electronic device which implement the same

    公开(公告)号:US11422634B2

    公开(公告)日:2022-08-23

    申请号:US17067519

    申请日:2020-10-09

    Abstract: An electronic device has an input which, in operation, receives an input stream of accelerometer data samples indicative of acceleration values along at least one axis. The devices includes circuitry, coupled to the input. The circuitry, in operation, executes an automatic-learning algorithm on blocks of samples of the input stream of accelerometer data samples to identify, for each block, a corresponding condition-of-user-movement from among a plurality of determined conditions-of-user-movement. The circuitry generates a plurality of streams of samples based on the input stream of accelerometer data samples, and for each condition of movement identified, selects a corresponding stream of samples of the plurality of streams of samples. The circuitry executes a wrist-tilt gesture detection algorithm using samples of the selected stream of the plurality of streams of samples.

    PREDICTIVE DATA-RECONSTRUCTION SYSTEM AND METHOD FOR A POINTING ELECTRONIC DEVICE

    公开(公告)号:US20210286447A1

    公开(公告)日:2021-09-16

    申请号:US17191320

    申请日:2021-03-03

    Abstract: A pointing electronic device is provided with: an inertial measurement module, to generate motion input data, indicative of motion of the pointing electronic device, at an input data rate; a pointing determination unit, to implement a pointing algorithm at a processing data rate based on the motion input data, to generate screen-frame displacement data corresponding to 3D-space movements of the pointing electronic device, the processing data rate being higher than the input data rate. The pointing electronic device is further provided with a rate upscaling unit, interposed between the inertial measurement module and the pointing determination unit, to implement a data-rate upscaling of the motion input data, in order to generate upscaled motion input data to be processed by the pointing determination unit at a data rate matching the processing data rate, via a predictive data reconstruction of missing samples based on the actual motion input data.

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