Computing system implementing an algorithm for fusing data from inertial sensors, and method

    公开(公告)号:US11473894B2

    公开(公告)日:2022-10-18

    申请号:US17207180

    申请日:2021-03-19

    Abstract: A computing system includes a first hardware element having a first accelerometer and a first gyroscope, and a second hardware element having a second accelerometer and a second gyroscope. The first and second hardware elements are moveable with respect to each other. The computing system recursively generates a result signal indicative of a relative orientation of the first and second hardware elements with respect to each other. The result signal may be generated by generating a first intermediate signal indicative of a angle between the first and second hardware elements based on signals generated by the first and second accelerometers and generating a second intermediate signal indicative of the angle based on signals generated by the first and second gyroscopes. The result signal indicative of the angle may be generated as a weighted sum of the first intermediate signal and the second intermediate signal. At least one of the first and second hardware elements is controlled by on the result signal.

    Gesture recognition system and method for a digital-pen-like device and corresponding digital-pen-like device

    公开(公告)号:US11360585B2

    公开(公告)日:2022-06-14

    申请号:US16922752

    申请日:2020-07-07

    Abstract: A gesture-recognition system for a digital-pen-like device, envisages: at least one motion sensor to provide at least one motion signal indicative of movements of the digital-pen-like device; a gesture-recognition signal processor, coupled to the at least one motion sensor to process the motion signal and to implement a plurality of gesture recognition algorithms based on the motion signal, each of the gesture recognition algorithms being configured to recognize a corresponding gesture performed by a user of the digital-pen-like device; and a controller coupled to the gesture-recognition signal processor and transmitting gesture-recognition data indicative of a recognized gesture towards a host apparatus, with which the digital-pen-like device is associated.

    Machine learning zero-rate level calibration

    公开(公告)号:US11150090B2

    公开(公告)日:2021-10-19

    申请号:US16059701

    申请日:2018-08-09

    Abstract: One or more embodiments are directed to zero-rate level compensation systems. One such system includes stationary detection circuitry that receives gyroscope signals output by a gyroscope and determines whether the gyroscope is stationary based on the gyroscope signals. The stationary detection circuitry generates a stationary gyroscope signal indicating the gyroscope is stationary based on a determination that the gyroscope is stationary. A temperature sensor senses temperature and outputs temperature signals. Zero-rate level estimation circuitry receives the stationary gyroscope signal and a temperature signal associated with the stationary gyroscope signal, and iteratively estimates one or more zero-rate level compensation parameters based on the stationary gyroscope signal and the temperature signal.

    Computing system implementing an algorithm for fusing data from inertial sensors, and method

    公开(公告)号:US10976150B2

    公开(公告)日:2021-04-13

    申请号:US15987637

    申请日:2018-05-23

    Abstract: A computing system includes a first hardware element having a first accelerometer and a first gyroscope, and a second hardware element having a second accelerometer and a second gyroscope. The first and second hardware elements are moveable with respect to each other. The computing system recursively generates a result signal indicative of a relative orientation of the first and second hardware elements with respect to each other. The result signal may be generated by generating a first intermediate signal indicative of a angle between the first and second hardware elements based on signals generated by the first and second accelerometers and generating a second intermediate signal indicative of the angle based on signals generated by the first and second gyroscopes. The result signal indicative of the angle may be generated as a weighted sum of the first intermediate signal and the second intermediate signal. At least one of the first and second hardware elements is controlled by on the result signal.

    LOW-POWER TILT-COMPENSATED POINTING METHOD AND CORRESPONDING POINTING ELECTRONIC DEVICE

    公开(公告)号:US20210034171A1

    公开(公告)日:2021-02-04

    申请号:US16932467

    申请日:2020-07-17

    Abstract: An embodiment pointing method to generate screen-frame displacement data based on 3D-space movements of a pointing electronic device, comprises receiving a gravity vector (g), having components (gx, gy, gz) corresponding to respective projections of gravity acceleration ({right arrow over (g)}) on three axes (X, Y, Z) of a 3D reference system associated with the pointing electronic device, generated by a sensor-fusion algorithm from joint processing of an acceleration signal, indicative of acceleration acting on the pointing electronic device along the three axes, and of a gyroscope signal (Gyro), indicative of angular rate of rotation of the pointing electronic device around the three axes. The method further comprises implementing a roll-compensation of the gyroscope signal (Gyro) as a function of the gravity vector (g) to determine a roll-compensated gyroscope signal (Gyro′); and generating the screen-frame displacement data based on the roll-compensated gyroscope signal (Gyro′).

    Lid angle detection
    17.
    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.

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