119results about "Acceleration measurement using gyroscopes" patented technology

Systems and methods for performing operations on an augmented reality (AR) device are provided. The system accesses movement data including inertial measurement data and camera data through the AR device. The system determines three-dimensional (3D) movement of the AR device based on the movement data. The system presents, through the AR device, the AR object on a real-world environment being viewed using the AR device. The system modifies the AR object by the AR device in response to determining the 3D movement of the AR device.

The invention discloses a method for installing and adjusting a double-reading-head photoelectric encoder on a gyro accelerometer, which comprises the following steps of: initially installing a coded disc base and an optical component, measuring the size, adjusting a grating gap, reinstalling the optical component, installing the coded disc component, testing a signal, fastening the optical component and the coded disc component, installing a receiving plate and arranging a wire harness. The oscilloscope is used for observing sine and cosine signals and a zero position, the industrial personal computer is used for reading an angle value given by the signal processing and output circuit, the installation accuracy of the double-reading-head photoelectric encoder is judged, and the purpose that the double-reading-head photoelectric encoder is installed on the gyro accelerometer in a high-precision mode is achieved. The problem of high-precision installation of the double-reading-head photoelectric encoder in the limited space of the gyro accelerometer is solved, the installation and adjustment operation is simpler and more efficient, particularly, high-precision optical methods such as a multi-face prism and an autocollimator are not needed, and the method is more suitable for completing installation and adjustment or maintenance in off-line scenes such as a user site.

A control device 50 as a road gradient estimation device estimates the road gradient of a road on which a vehicle 10 is traveling on the basis of an inertial acceleration derived on the basis of an inertial force in a traveling direction of the vehicle 10 and an actual acceleration derived on the basis of the amount of change in the vehicle speed of the vehicle 10. The control device 50 includes a forward / backward movement determination unit M11 for modifying a forward / backward movement determination indicating whether the vehicle 10 is moving backward. The control device 50 includes an acceleration correction unit M12 that acquires the inertial acceleration as a first acceleration and the actual acceleration as a second acceleration, and, when the forward / backward movement determination is modified, performs correction to invert the sign of the first acceleration or the second acceleration. The control device 50 includes a gradient estimation unit for estimating the road gradient on the basis of the difference between the first acceleration and the second acceleration.

The invention discloses an impact resistance method and device for a stabilized platform based on a micromechanical gyroscope, and the method comprises the steps: recording the angle amount of the stabilized platform which is not operated due to a control bandwidth when the stabilized platform is subjected to impact or high-frequency vibration by adopting a gyroscope integration method, and continuously compensating the angle amount to a control system. The problem of pointing angle deviation caused by transient impact or high-frequency vibration can be effectively solved. The invention relates to the technical field of platform design. According to the impact resistance method and device for the stabilized platform based on the micromechanical gyroscope, the acceleration of the environment where the stabilized platform is located is calculated through a gyroscope differential method, and the acceleration is used for judging the stability of the platform environment and serves as a threshold value for starting integration of gyroscope data; a solution is given under the condition that the stable holder in a continuous tracking state is subjected to external impact, the pointing of a system can be kept stable for small-order impact, and the stable holder can still point to a target after being impacted for large-order impact.

The invention discloses a gyro accelerometer dynamic error modeling and calibration method considering angular motion of a base, and belongs to the field of dynamics and control. The implementation method comprises the following steps: establishing kinematics and dynamics equations of the PIGA under the triaxial angular motion of the base, and deducing a complete error model comprising a static error term, a dynamic error term and a nonlinear error term; constructing a kinetic equation including inertia tensor, a moment balance equation and servo loop influence; quantitatively analyzing the influence of the angular motion parameters of the base on PIGA output errors; based on three-axis turntable experimental design, dynamic response of each axis of the PIGA is excited through single-axis, double-axis and three-axis angular velocity input, and error model coefficients are separated and calibrated; error model parameters are calibrated by adopting a mode of combining a least square method and other data fitting algorithms; angular velocity and angular acceleration terms are separated based on direction cosine matrix transformation, and error coefficient aliasing is avoided; dynamic response data are fitted through a least square method, and all error coefficients are calibrated at a time.

Disclosed herein is an attack detection device for detecting an attack targeting a gyroscope. The attack detection device includes: a data collection unit configured to receive measurement values from an accelerometer and the gyroscope; and an attack detection unit configured to estimate an angular velocity using the measurement value from the accelerometer, and to detect an attack by comparing the estimated angular velocity to an angular velocity measured by the gyroscope.

A mount security detection method for an in-vehicle information capture device having at least one acceleration sensor to gather acceleration data, and comparing a sample of the acceleration data for

A system and methods for monitoring and evaluating the performance of a lawn-care technician. A Technician Performance Module (TPM) is affixed to or embedded in a device or apparatus used by the technician, such as a sprayer or a spreader. The TPM comprises a plurality of sensors (e.g., GPS, gyroscope, accelerometer, compass, pedometer) which collect, store, and / or transmit an assortment of data as described below. The data may be transmitted wirelessly to a control box, which may be located in a nearby vehicle, such as a truck used by the technician at the site of the lawn-care services being provided. The data also may be transmitted wireless to a cellular or wireless gateway for transmission to system servers for storage and analysis.

This wrist-wearable electronic device may comprise: a sensor; communication circuitry; a display; a memory storing instructions; and at least one processor including processing circuitry. The instructions, when executed individually or collectively by the at least one processor, may cause the wrist-wearable electronic device to: while a first screen is displayed, acquire information related to an angle between the wrist-wearable electronic device and a finger-wearable electronic device; display a second screen on the basis of user input information being received from the finger-wearable electronic device and the angle being within a first angle range; and display a third screen on the basis of user input information being received from the finger-wearable electronic device and the angle being within a second angle range.

The invention discloses a building talkback intelligent emergency safety center system based on multi-mode perception. The building talkback intelligent emergency safety center system comprises a perception layer, a data processing layer, a decision response layer and a collaboration layer. According to the invention, an active security and protection mechanism integrating real-time monitoring, second-level data processing, dynamic decision making and cross-domain linkage is constructed, so that rapid emergency response within one minute is realized, access control locking can be triggered within 10 seconds in a high-risk scene, alarm pushing and linkage of 110 and medical resources are realized, and the emergency handling efficiency is effectively improved; through multi-mode perception fusion and AI cross validation, environment interference and real risks are effectively distinguished, the false alarm rate is effectively reduced, and the recognition accuracy of events such as falling down and invasion of the old is remarkably improved; and the intercom system is used as a core to seamlessly integrate the elevator, the gas valve and other terminals, data intercommunication and co-processing with community medical treatment, security and other resources are realized, information islands are broken, and the comprehensive security cost of the community is reduced.

To estimate road grade regardless of whether a vehicle is moving forward or backward regarding a road gradient estimation device.SOLUTION: A control device 50 as a road gradient estimation device estimates road grade of a road on which a vehicle 10 travels on the basis of inertia acceleration which is introduced out on the basis of inertia force of a travel direction of the vehicle 10 and actual acceleration which is introduced out on the basis of the amount of variation of vehicle speed of the vehicle 10. The control device 50 is provided with an advance and backing determination unit M11 which changes advance and backing determination which represents whether or not the vehicle 10 is moving backward. The control device 50 is provided with an acceleration correction unit M12 which acquires inertia acceleration as a first acceleration and actual acceleration as a second acceleration and performs correction to reverse positive and negative of the first acceleration or the second acceleration when the advance and backing determination is changed. The control device 50 is provided with a gradient estimation unit which estimates the road grade on the basis of a difference between the first acceleration and the second acceleration.SELECTED DRAWING: Figure 1

The invention relates to a MEMS accelerometer with high mechanical robustness. The MEMS accelerometer has a substrate and a sense mass suspended at a distance from the substrate in an out-of-plane direction. The sense mass is coupled to the substrate to experience out-of-plane movement relative to the substrate in response to acceleration along an out-of-plane direction. The MEMS accelerometer also has a damping structure configured to damp in-plane movement of the sense mass relative to the substrate. The damping structure has a plurality of movable fingers integral with the sense mass and a plurality of fixed fingers integral with the base plate and intersecting the movable fingers. The movable fingers and / or the fixed fingers have a variable length along a first in-plane direction transverse to the out-plane direction.

Disclosed is an image storage device which can be mounted on a vehicle and which captures and stores images around the vehicle. The image storage device according to the present disclosure comprises: a photographing unit that photographs and acquires a real-time driving image of a vehicle; an accident prediction unit that analyzes the real-time traveling image using a pre-learned accident detection artificial intelligence model and predicts the possibility of an accident occurring in the vehicle; a storage unit that, if it is determined that there is a possibility of occurrence of the accident, stores a traveling image including a predetermined period of time before and after an accident detection time based on the accident detection time; the communication part is used for sending the driving images in the preset time period to a loss ratio judgment server, and the accident detection artificial intelligence model is a model which is trained by utilizing training data marked with accident images and normal driving images and through a supervised learning mode.

The present invention discloses an elevator acceleration fault detection method and device based on improved meta-learning, comprising: obtaining and preprocessing the original acceleration response data sequence of a target elevator; randomly selecting a support set and a query set after preprocessing; constructing and training an acceleration fault detection model; extracting features from the support set and the query set; performing prototype calculation on the extracted features to obtain a loss, wherein an intra-class distance regularization term is introduced in the prototype calculation; obtaining a difficult sample library; testing the acceleration fault detection model on a test set to obtain the model's accuracy; adjusting the support set and the query set based on the accuracy; repartitioning the adjusted support set and query set based on the difficult sample library; and retraining the acceleration fault detection model using the retrained acceleration fault detection model. This method solves the technical problems of few-sample generalization and class imbalance in related technologies.

The invention relates to a method and device for recognizing road collapse based on mobile phone navigation data, and belongs to the technical field of road safety monitoring, and the method comprises the steps: monitoring the driving speed of a target vehicle on an expressway based on the positioning data of a mobile phone in the target vehicle; if it is monitored that the running speed of the target vehicle is changed from the first vehicle speed to the second vehicle speed within the preset time, it is determined that running abnormity occurs in the target vehicle; under the condition that the target vehicle is abnormal in driving, the collision acceleration vector direction and the driving acceleration of the target vehicle when the vehicle speed changes are obtained based on the IMU data of the mobile phone, and whether the abnormal driving of the target vehicle is collapse and falling or not is judged based on the collision acceleration vector direction and the driving acceleration; and if the driving abnormity of the target vehicle is collapse and falling, determining that the road surface collapse occurs on the expressway, thereby facilitating efficient, accurate and low-cost recognition of the road surface collapse state.

To provide an inertial sensor module that has excellent detection accuracy.SOLUTION: An inertial sensor module 1 comprises: a first sensor 100 that has a first axis, a second axis, and a third axis as detection axes; and a second sensor 200 that has higher accuracy than the first sensor 100 and has the third axis as a detection axis. The first sensor 100 and the second sensor 200 are arranged on an inner bottom surface 2a that is one plane in a package 2, and the first sensor 100 and the second sensor 200 are hermetically sealed by the package 2.SELECTED DRAWING: Figure 1

Systems and methods are provided for performing operations on an augmented reality (AR) device. The system accesses, by the AR device, movement data comprising inertial measurement data and camera data. The system determines three-dimensional (3D) movement of the AR device based on the movement data. The system presents, by the AR device, an AR object on a real -world environment being viewed using the AR device. The system, in response to determining the 3D movement of the AR device, modifies the AR object by the AR device.

This electronic device comprises: a memory for storing instructions; a communication interface for connecting to a terminal device; a display; and at least one processor including processing circuitry, wherein the instructions, when executed individually or collectively by the at least one processor, control the display to display a screen including a plurality of objects and a pointer user interface (UI), receive, through the communication interface, touch data from the terminal device operating in a first mode or motion data from the terminal device operating in a second mode, perform a function corresponding to the touch data when the touch data is received, and control the display so that the pointer UI is moved on the basis of the motion data when the motion data is received, and the terminal device operates in the second mode on the basis of a pre-configured event.

A method for making downhole gyroscopic surveying measurements includes making at least one cross-axial gyroscope measurement in the subterranean wellbore; making accelerometer measurements including cross-axial accelerometer measurements in the subterranean wellbore; evaluating the cross-axial accelerometer measurements to determine at least one tool motion induced cross-axial rotational component; and removing the tool motion induced cross-axial rotational component from the at least one cross-axial gyroscope measurement to determine a compensated cross-axial gyroscope measurement.

A corner flow accelerometer device for reduced gravity applications comprises a capillary tube, wherein the capillary tube is partially filled with a capillary fluid, and wherein the capillary tube includes at least one corner configured to enhance capillary flow. A corner flow accelerometer device for reduced gravity applications comprises a hollow square prism comprising a capillary tube, wherein the square prism is partially filled with a capillary fluid comprising silicone oil, and wherein the square prism is anchored to a weight inside a gyroscope body. A gravity monitoring method comprises providing the corner flow accelerometer device as describe above, measuring a fluid height or meniscus curvature due to capillary flow, calculating a dimensionless Bond number based on the measured fluid height or meniscus curvature, wherein the dimensionless Bond number comprises a ratio between gravitational and surface forces, and calculating a gravitational force based the Bond number.

Systems and methods are provided for performing operations on an augmented reality (AR) device. The system accesses, by the AR device, movement data comprising inertial measurement data and camera data. The system determines three-dimensional (3D) movement of the AR device based on the movement data. The system presents, by the AR device, an AR object on a real-world environment being viewed using the AR device. The system, in response to determining the 3D movement of the AR device, modifies the AR object by the AR device.

This invention discloses a fiber optic angular accelerometer capable of suppressing light source noise. In this invention, light emanating from the light source is split into two beams by a beam splitter. The first beam is modulated by a first modulator and input into a first angular motion sensitive channel. A first photodetector detects the intensity of the beam output from the first angular motion sensitive channel and inputs it to a signal processing unit via a first sampling circuit. The second beam is delayed by a delay module by τ0 and then input into a second modulator. The second modulator modulates the input beam and inputs it into a second angular motion sensitive channel. A second photodetector detects the intensity of the beam output from the second angular motion sensitive channel and inputs it to the signal processing unit via a second sampling circuit. The modulation signals of the first and second modulators are provided by first and second signal generators, respectively, with the signal from the second signal generator lagging behind the signal from the first signal generator by τ0. The signal processing unit calculates the angular acceleration based on the received signals.

The application relates to the technical field of inertial instrument testing, and particularly discloses an accelerometer testing device with magnetic shielding and temperature control functions, which comprises a base, an upper cover assembly and a lower cover assembly. The measured accelerometer is installed on the upper end connecting platform of the base, and the lower end of the base is provided with four U-shaped holes for fixed connection with a testing table. The upper cover assembly comprises an upper magnetic shielding shell, an upper heating shell, an upper heating sheet and an upper thermistor, and the upper magnetic shielding shell is located outside the upper heating shell. The lower cover assembly comprises a lower magnetic shielding shell, a lower heating shell, a lower heating sheet and a lower thermistor, and the lower magnetic shielding shell is located outside the lower heating shell. The accelerometer testing device can shield the electromagnetic interference signals of the testing environment during the testing process of the high-precision accelerometer, and can provide a stable and adjustable temperature environment for the accelerometer, so that the accelerometer is not disturbed by external magnetic fields and temperature fields, the error caused by the external testing environment is reduced, and the accuracy of the accelerometer testing is ensured.

The present invention provides an optical micro-electromechanical structure with controllable precision modulation, comprising a suspended mass block, a plurality of suspended tethers, a photonic crystal microcavity, a suspended optical waveguide, a first connecting tether, a suspended beam, a second connecting tether, a rigid block, and a capacitor, wherein the first capacitor end of the capacitor is fixed to the suspended beam, and the second capacitor end is fixed to the rigid block. The present invention uses a capacitance modulation method to modulate the optical microcavity, which can not only calibrate the optical microcavity produced by the photolithography process so that the actual resonance wavelength of the photonic crystal microcavity is perfectly matched with the designed working wavelength, but also adjust the offset of the resonance wavelength caused by changes in the working environment, thereby improving the measurement accuracy. In the present invention, the capacitor only modulates the gap of the photonic crystal microcavity and does not affect the mechanical properties of the mass block, that is, it only modulates the optical properties, thereby avoiding modulation crosstalk. In the present invention, the optical waveguide is connected and fixed to one end of the optical microcavity, and has good optical coupling stability and overall system stability.

A wallpaper system presents a first wallpaper image of a wallpaper video to a user and receives, via a user input device, one or both of: (i) a spatial user input selection, and (ii) a time user input selection from the user to apply to the wallpaper video. In response to detecting one or both of: (i) the spatial user input selection, and (ii) the time user input selection, the wallpaper system determines one or both of: (i) a respective spatial movement parameter within a wallpaper video associated with the spatial user input selection, and (ii) a respective time coordinate within the wallpaper video associated with the time user input selection. Wallpaper system presents, via the image display, a second wallpaper image associated with one or both of: (i) the respective spatial movement parameter, and (ii) the respective time coordinate.

Centrifugal gyroscopic devices are described herein. A representative device can include a shaft, an arm coupled to the shaft, a rotor coupled to the arm, and a control system operably coupled to the shaft, the arm, and / or the rotor. The shaft is rotatable about a first axis and the arm is configured to rotate with the shaft. The arm is pivotable about a second axis and the rotor is configured to pivot with the arm about the second axis. The rotor is further pivotable about a third axis. The control system is configured to bring the shaft, the arm, and the rotor into a resonant mode in which the shaft rotates at a rotational rate, the arm oscillates about the second axis at a first frequency substantially equal to the rotational rate, and the rotor oscillates about the third axis at a second frequency substantially equal to the first frequency.

The invention discloses an elevator acceleration fault detection method and device based on improved meta learning, and the method comprises the steps: obtaining an original acceleration response data sequence of a target elevator, carrying out the preprocessing, randomly selecting a support set and a query set after the preprocessing, constructing and training an acceleration fault detection model, the accelerated fault detection model is used for performing feature extraction on the support set and the query set, then performing prototype calculation on the extracted features to obtain loss, and introducing an intra-class distance regularization item in the prototype calculation; acquiring a difficult sample library; the accelerated fault detection model is tested through the test set to obtain the accuracy rate of the model, and the support set and the query set are adjusted according to the accuracy rate; retraining the accelerated fault detection model according to the difficult sample library and the support set and the query set which are redivided and adjusted; and performing fault detection by using the retrained accelerated fault detection model. The technical problems of few-sample generalization and class imbalance in the prior art are solved.

A capacitive sensing charge amplifier, e.g., in a direct current (DC) feedback network, may incorporate a switching capacitor, including a first control switch and a second control switch, which receives a switching signal to charge and discharges the switching signal to a virtual ground of a sense amplifier. Noise incorporated into the output of the sense amplifier (e.g., a MEMS output signal) is filtered by a demodulation signal at a demodulator such that the period average noise at the demodulator output equals zero. The time varying nature of the switching capacitor resistance generally reshapes the system's post-demodulation noise to reduce its low frequency output noise.

The invention discloses an angular rate estimation method and system based on multi-gyroscope signal set membership sequential fusion, belongs to the technical field of navigation, and is used for solving the problem that the existing angular rate estimation method cannot be used in a scene with high real-time requirement, such as navigation. The angular rate estimation method based on multi-gyroscope signal set membership sequential fusion comprises the following steps: step 1, obtaining measurement information of N MEMS gyroscopes through measurement receiving equipment; step 2, based on an MEMS gyroscope measurement model, establishing a multi-gyroscope fusion model through a fusion center, and setting an initial state of the multi-gyroscope fusion model based on measurement information in the step 1; and step 3, determining an update model of a time update feasible set and a measurement update feasible set of the multi-gyroscope fusion model. According to the angular rate estimation method based on multi-gyroscope signal set membership sequential fusion, the problem that convex optimization is involved in the existing multi-MEMS gyroscope signal fusion process is avoided, the calculation complexity is optimized, and the angular rate estimation method can be used in navigation scenes with real-time requirements.