This application discloses a vector sensor zero-point calibration method, device, and, apparatus, an electronic device, and a non-volatile computer-readable storage medium. The calibration method includes: acquiring reference data during two measurements of a reference vector performed by a vector sensor; acquiring a zero-point offset M.sub.0 of the vector sensor according to the reference data; acquiring original data R.sub.k of any vector measured by the vector sensor; and acquiring valid data V.sub.k according to the zero-point offset M.sub.0 and the original data R.sub.k. With the calibration method in this application, the valid data V.sub.k is obtained after a zero-point error of the original data R.sub.k is eliminated, which is more closely approximated to an actual value of a to-be-measured vector.

This application discloses a vector sensor zero-point calibration method, device, and, apparatus, an electronic device, and a non-volatile computer-readable storage medium. The calibration method includes: acquiring reference data during two measurements of a reference vector performed by a vector sensor; acquiring a zero-point offset M.sub.0 of the vector sensor according to the reference data; acquiring original data R.sub.k of any vector measured by the vector sensor; and acquiring valid data V.sub.k according to the zero-point offset M.sub.0 and the original data R.sub.k. With the calibration method in this application, the valid data V.sub.k is obtained after a zero-point error of the original data R.sub.k is eliminated, which is more closely approximated to an actual value of a to-be-measured vector.

A mechanism to reduce the amplitude of acceleration experienced by IMUs for tracked objects while maintaining a more accurate estimate of the device orientation. The invention uses parallel mechanisms to maintain the correct orientation of an IMU while allowing for damped translational degrees of freedom to limit the degradation of performance while spatially tracking a body.

An inertial measurement unit including a support structure having rectangular cuboid configuration, a first sensor configured to detect a first angular rate wherein the first sensor is affixed to a first side of the support structure, a second sensor configured to detect a second angular rate wherein the second sensor is affixed to a second side of the support structure, a third sensor configured to detect a third angular rate wherein the third sensor is affixed to a third side of the support structure, a processor configured to generate an aggregate angular rate in response to the first angular rate, the second angular rate and the third angular rate, and a vehicle controller configured to control a vehicle in response to the aggregate angular rate.

An inertial measurement unit including a support structure having rectangular cuboid configuration, a first sensor configured to detect a first angular rate wherein the first sensor is affixed to a first side of the support structure, a second sensor configured to detect a second angular rate wherein the second sensor is affixed to a second side of the support structure, a third sensor configured to detect a third angular rate wherein the third sensor is affixed to a third side of the support structure, a processor configured to generate an aggregate angular rate in response to the first angular rate, the second angular rate and the third angular rate, and a vehicle controller configured to control a vehicle in response to the aggregate angular rate.

Provided is an acceleration sensor capable of realizing a simultaneous operation method of signal detection and servo control in place of a time-division processing method, by an MEMS process in which a manufacturing variation is large.

The acceleration sensor is an MEMS capacitive acceleration sensor and has capacitive elements for signal detection and capacitive elements for servo control different from the capacitive elements for the signal detection. A voltage to generate force in a direction reverse to a detection signal of acceleration by the capacitive elements for the signal detection is applied to the capacitive elements for the servo control. Further, the acceleration sensor includes a variable capacity unit compensating for a mismatch of capacity values of the capacitive elements for the servo control at an ASIC side, detects a leak signal due to the mismatch of the capacity values in an ASIC, controls a capacity value of the variable capacity unit, on the basis of a detection result, compensates for an influence of the mismatch of the capacity values, and executes a normal signal detection/servo control simultaneous operation.

A structured-light-velocimetry method includes extracting one or more bursts from a time-varying signal generated by detecting scattered light from a tracer particle passing through a structured optical beam; fitting each of the one or more bursts to a multi-variable model to extract a plurality of fitted parameters; and executing a machine-learning model with the plurality of fitted parameters to predict an angular velocity of the tracer particle.

A system for tamper detection of a motion detector. The system includes an electronic controller configured to receive orientation data from an accelerometer of the motion detector. The electronic controller is also configured to filter the orientation data of the accelerometer of the motion detector. The electronic controller is further configured to determine an orientation of the motion detector using the filtered orientation data. The electronic controller is also configured to identify a tamper condition of the motion detector based on the orientation of the motion detector. The electronic controller is further configured to activate an alarm device of the motion detector based on the tamper condition.

A closed-loop microelectromechanical accelerometer includes a substrate of semiconductor material, an out-of-plane sensing mass and feedback electrodes. The out-of-plane sensing mass, of semiconductor material, has a first side facing the supporting body and a second side opposite to the first side. The out-of-plane sensing mass is also connected to the supporting body to oscillate around a non-barycentric fulcrum axis parallel to the first side and to the second side and perpendicular to an out-of-plane sensing axis. The feedback electrodes are capacitively coupled to the sensing mass and are configured to apply opposite electrostatic forces to the sensing mass.

A closed-loop microelectromechanical accelerometer includes a substrate of semiconductor material, an out-of-plane sensing mass and feedback electrodes. The out-of-plane sensing mass, of semiconductor material, has a first side facing the supporting body and a second side opposite to the first side. The out-of-plane sensing mass is also connected to the supporting body to oscillate around a non-barycentric fulcrum axis parallel to the first side and to the second side and perpendicular to an out-of-plane sensing axis. The feedback electrodes are capacitively coupled to the sensing mass and are configured to apply opposite electrostatic forces to the sensing mass.