A MEMS system includes a gyroscope that generates a quadrature signal and an angular velocity signal. The MEMS system further includes an accelerometer that generates a linear acceleration signal. The quadrature signal and the linear acceleration signal are received by a processing circuitry that modifies the linear acceleration signal based on the quadrature signal to determine linear acceleration.

A MEMS system includes a gyroscope that generates a quadrature signal and an angular velocity signal. The MEMS system further includes an accelerometer that generates a linear acceleration signal. The quadrature signal and the linear acceleration signal are received by a processing circuitry that modifies the linear acceleration signal based on the quadrature signal to determine linear acceleration.

A vibration-type angular velocity sensor (100) includes a primary side control circuit (2) and a secondary side control circuit (3) which are configured so that a function as the primary side control circuit (2) and a function as the secondary side control circuit (3) are interchangeable, in which an offset value after interchange and an offset value before interchange are symmetric values with respect to a predetermined reference value.

A vibration-type angular velocity sensor (100) includes a primary side control circuit (2) and a secondary side control circuit (3) which are configured so that a function as the primary side control circuit (2) and a function as the secondary side control circuit (3) are interchangeable, in which an offset value after interchange and an offset value before interchange are symmetric values with respect to a predetermined reference value.

An oscillator drive circuit and a trim circuit are implemented inside an integrated circuit of a sensor. The drive circuit provides an oscillating drive signal at a resonant frequency to drive a movable mass of the sensor. The drive circuit includes a phase shift circuit having an input for receiving a first signal indicative of an oscillation of the movable mass and having an output. The phase shift circuit adds a phase shift component to the first signal and produces a second signal shifted in phase by the phase shift component. The trim circuit includes a first comparator for receiving the first signal, a second comparator for receiving the second signal, and a processing element. The processing element determines a phase lag between the first and second signals and produces trim code for use by the phase shift circuit, the trim code being configured to adjust the phase shift component.

According to one embodiment, a sensor includes a base body including a first surface including first and second base body regions, a first structure body provided in the first base body region, a second structure body provided in the second base body region, and a control device. The first structure body includes a first movable member configured to vibrate. The vibration of the first movable member includes first and second components. The second structure body includes a second movable member configured to vibrate. The control device includes a controller configured to perform a processing operation. The processing operation includes outputting a second rotation angle, The second rotation angle is obtained by correcting a first rotation angle based on a resonance frequency of the second movable member. The first rotation angle of the first movable member is obtained based on the first component and the second component.

An algorithm and architecture for sense transfer function estimation injects one or more test signals from a signal generator into a MEMS gyroscope to detect an output signal (e.g., proof mass output sense signal), including an in-phase (e.g., Coriolis) component and a quadrature component. The in-phase and quadrature components are encoded with reference signals to determine phase and/or gain variation and are processed via a variety of components (e.g., matrix rotation, digital gain, tones demodulator, transfer function errors estimation, etc.) to estimate a sense transfer function of the MEMS (e.g., H.sub.s(f.sub.d)) and corresponding phase and/or gain offset of H.sub.s(f.sub.d). The in-phase and quadrature components are also compensated for phase and/or gain offset by system components.

Microelectromechanical systems (MEMS) gyroscopes and related sense frequency tracking techniques are described. Various embodiments facilitate sense frequency tracking and offset and/or sensitivity change compensation. Exemplary embodiments can comprise receiving a sense signal at an output of a MEMS gyroscope and determining a sense resonant frequency of the sense signal. In addition, exemplary methods can comprise generating an input sine wave with a frequency of the sense resonant frequency of the sense signal injecting the input sine wave into the MEMS gyroscope, to facilitate sense frequency tracking.

Microelectromechanical systems (MEMS) gyroscopes and related sense frequency tracking techniques are described. Various embodiments facilitate sense frequency tracking and offset and/or sensitivity change compensation. Exemplary embodiments can comprise receiving a sense signal at an output of a MEMS gyroscope and determining a sense resonant frequency of the sense signal. In addition, exemplary methods can comprise generating an input sine wave with a frequency of the sense resonant frequency of the sense signal injecting the input sine wave into the MEMS gyroscope, to facilitate sense frequency tracking.

A method and a system for recognizing a two-dimensional (2D) movement track based on a smart watch is provided. The method comprises: acquiring accelerometer signal data and gyroscope signal data of the smart watch; estimating a tilt angle of the smart watch by using the accelerometer signal data and correcting the gyroscope signal data by using the tilt angle; and calculating angle value information of the smart watch by using the corrected gyroscope signal data and estimating a coordinate point. According to the present application, the movement track of the smart watch can be accurately estimated by using the accelerometer and the gyroscope built in the smart watch.