A control system for a screen of a vehicle includes a global positioning system (GPS), an inertia sensor and a control circuit. The GPS detects a satellite signal from a satellite. The inertia sensor senses motion of the vehicle and correspondingly generates a motion state value. The control circuit performs one of a first determination procedure and a second determination procedure according to the state of the satellite signal. In the first determination procedure, the control circuit calculates the vehicle speed of the vehicle according to the satellite signal, and selectively locks the screen of the vehicle according to the vehicle speed. In the second determination procedure, the control circuit generates a motion signal according to the motion state value, and selectively locks the screen of the vehicle according to the motion signal. Accordingly, driving safety can still be effectively ensured even in the case of poor satellite signals.

A control system for a screen of a vehicle includes a global positioning system (GPS), an inertia sensor and a control circuit. The GPS detects a satellite signal from a satellite. The inertia sensor senses motion of the vehicle and correspondingly generates a motion state value. The control circuit performs one of a first determination procedure and a second determination procedure according to the state of the satellite signal. In the first determination procedure, the control circuit calculates the vehicle speed of the vehicle according to the satellite signal, and selectively locks the screen of the vehicle according to the vehicle speed. In the second determination procedure, the control circuit generates a motion signal according to the motion state value, and selectively locks the screen of the vehicle according to the motion signal. Accordingly, driving safety can still be effectively ensured even in the case of poor satellite signals.

Provided are a MEMS pressure sensor and a method for forming the same. The method includes: preparing a first substrate including a first surface and a second surface opposite to each other; preparing a second substrate including a third surface and a fourth surface opposite to each other; bonding the first surface and the third surface with each other and forming a cavity between the first substrate and the pressure sensing region of the second substrate; thinning the second substrate from the fourth surface by partially removing the second base, to form a fifth surface opposite to the third surface; and forming a first conductive plug passing through the second substrate from the side of the fifth surface of the second substrate to the at least one conductive layer.

Accelerometers are described herein that have RMS outputs. For instance, an example accelerometer may include a MEMS device and an ASIC. The MEMS device includes a structure having an attribute that changes in response to acceleration of an object. The ASIC determines acceleration of the object based at least in part on changes in the attribute. The ASIC includes analog circuitry, an ADC, and firmware. The analog circuitry measures the changes in the attribute and generates analog signals that represent the changes. The ADC converts the analog signals to digital signals. The firmware includes RMS firmware. The RMS firmware performs an RMS calculation on a representation of the digital signals to provide an RMS value that represents an amount of the acceleration of the object.

A MEMS vibration sensor includes a piezoelectric membrane including a segmented electrode affixed to a holder; and an inertial mass affixed to the piezoelectric membrane, wherein the segmented electrode includes four segmentation zones, wherein, in an X-direction, a signal from a first segmentation zone is equal to a signal from a third segmentation zone, a signal from a second segmentation zone is equal to a signal from a fourth segmentation zone, and the signal from the first segmentation zone and the signal from the second segmentation zone have opposite signs, and wherein, in a Y-direction, a signal from the first segmentation zone is equal to the signal from the second segmentation zone, the signal from the third segmentation zone is equal to the signal from the fourth segmentation zone, and the signal from first segmentation zone and the signal from the third segmentation zone have opposite signs.

A microelectromechanical accelerometer for measuring acceleration, comprising a first proof mass and ae second proof mass. The first proof mass is adjacent to the second proof mass. A suspension structure allows the first proof mass to undergo rotation out of the device plane about a first rotation axis and the suspension structure allows the second proof mass to undergo rotation out of the device plane about a second rotation axis. The first and second rotation axes are parallel to each other and define an x-direction which is parallel to the first and the second rotation axes and a y-direction which is perpendicular to the x-direction. The y-coordinate of the first rotation axis is greater than the y-coordinate of the second rotation axis by a nonzero distance D.

An inertial structure is elastically coupled through a first elastic structure to a supporting structure so as to move along a sensing axis as a function of a quantity to be detected. The inertial structure includes first and second inertial masses which are elastically coupled together by a second elastic structure to enable movement of the second inertial mass along the sensing axis. The first elastic structure has a lower elastic constant than the second elastic structure so that, in presence of the quantity to be detected, the inertial structure moves in a sensing direction until the first inertial mass stops against a stop structure and the second elastic mass can move further in the sensing direction. Once the quantity to be detected ends, the second inertial mass moves in a direction opposite to the sensing direction and detaches the first inertial mass from the stop structure.

A system and method for estimating a location of a vehicle, including, using a processor: measuring, via an inertial sensor attached to a vehicle, at least one of an acceleration or angular velocity of the vehicle; determining, via the processor, in the at least one of the acceleration or the angular velocity a signal signature based on a pattern recognition algorithm, wherein the signal signature is associated with a particular mark located at a particular location; determining, via the processor, that the vehicle is located at the particular location based on the predetermined association between the particular mark and the particular location; and providing, via the processor, the particular location to a human user or to a computerized application.

A system and method for estimating a location of a vehicle, including, using a processor: measuring, via an inertial sensor attached to a vehicle, at least one of an acceleration or angular velocity of the vehicle; determining, via the processor, in the at least one of the acceleration or the angular velocity a signal signature based on a pattern recognition algorithm, wherein the signal signature is associated with a particular mark located at a particular location; determining, via the processor, that the vehicle is located at the particular location based on the predetermined association between the particular mark and the particular location; and providing, via the processor, the particular location to a human user or to a computerized application.

System, method, and circuitry for utilizing sequential input inertial sensor data to calculate recursive features for training a machine learning algorithm or for classifying the data as a known class. The recursive feature values of a current data sample are calculating based on comparisons between the current data sample value and previous recursive feature values. The recursive features include a recursive maximum, recursive minimum, recursive peak to peak, recursive average, recursive root mean square, and recursive variance.