Methods and systems for determining position and orientation of a device using acoustic beacons

    公开(公告)号:US11982738B2

    公开(公告)日:2024-05-14

    申请号:US17022784

    申请日:2020-09-16

    Inventor: Wade P. Torres

    CPC classification number: G01S15/08 G01C19/00 G01P15/08 G01P15/18 H04R1/02

    Abstract: A system and method for determining the position and orientation of a wearable audio device, for example, methods and systems for determining the position, orientation, and/or height of a wearable audio device using acoustic beacons. In some examples, the determined position, orientation, and/or height can be utilized to correct for drift experienced by an inertial measurement unit (IMU). In other examples, the drift may cause am externalized or virtualize audio source, generated within a known environment, to move or drift relative to the known locations of physical audio sources within the environment. Thus, the systems and methods described herein can be utilized to correct for drift in the position of a virtual audio source with respect to the wearable audio device by first determining its own absolute position and orientation within the environment.

    Magnetometer calibration or setting

    公开(公告)号:US11808826B2

    公开(公告)日:2023-11-07

    申请号:US17274339

    申请日:2019-08-29

    Applicant: Tissot SA

    Abstract: An aspect of the invention relates to a method for correcting magnetometric measurements (10) made by a magnetometer mounted on a mobile support. The mobile support carries one or more movement and/or position sensors fixedly mounted with respect to the magnetometer. The method comprises:

    obtaining magnetometric measurements (12) and movement and/or position measurements (14, 16) made simultaneously by the magnetometers, respectively the movement and/or position sensors during a time interval;
    inferring, by a processing unit, corrected magnetometric measurements (28) on the basis of the magnetometric measurements (12) and the movement and/or position measurements (14, 16) made simultaneously during the time interval and in which method the processing unit (36) comprises one or more microprocessors and is capable of inferring the corrected magnetometric measurements (28) via an artificial intelligence algorithm (24), said algorithm being trained by means of training data, to find a correction for the magnetometric measurements according to the log of magnetometric measurements as well as movement and/or position measurements recorded during the time interval.

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