Abstract: Devices, systems and methods for estimating a position and an orientation of a dental tool are described. An example system for estimating a position and an orientation of a dental tool includes multiple electromagnets are removably affixed to an object positioned in a patient's mouth, the object being movable at least based on movements of the patient's mouth, and multiple magnetometers affixed to a dental tool that is non-stationary. The system further includes at least one processor configured to drive the plurality of electromagnets with at least one programmed signal, receive, from the plurality of magnetometers, magnetic field measurements, and determine, based on the magnetic field measurements, the position and the orientation of the dental tool relative to the object.

Abstract: Devices and methods for automatic calibration of rate gyroscope bias are described. One example method includes receiving, while the device is in motion, a plurality of measurements from one or more sensors, including a gyroscope, in the device. In this example, the plurality of measurements is acquired over a time period. The method also includes identifying one or more time segments, within the time period, having a low motion activity of the device by comparing a computed value associated with a motion of the device to a predetermined threshold. The method further includes determining, based on one or more measurements acquired over the one or more time segments, a degree of motion metric for at least one of the one or more sensors, and determining, based on the degree of motion metric for the at least one of one or more sensors, an estimate of a bias of the gyroscope.

Abstract: Devices and methods for automatic calibration of rate gyroscope bias are described. One example method includes receiving, while the device is in motion, a plurality of measurements from one or more sensors, including a gyroscope, in the device. In this example, the plurality of measurements is acquired over a time period. The method also includes identifying one or more time segments, within the time period, having a low motion activity of the device by comparing a computed value associated with a motion of the device to a predetermined threshold. The method further includes determining, based on one or more measurements acquired over the one or more time segments, a degree of motion metric for at least one of the one or more sensors, and determining, based on the degree of motion metric for the at least one of one or more sensors, an estimate of a bias of the gyroscope.