scholarly journals Systematic Calibration for Ultra-High Accuracy Inertial Measurement Units

Sensors ◽  
2016 ◽  
Vol 16 (6) ◽  
pp. 940 ◽  
Author(s):  
Qingzhong Cai ◽  
Gongliu Yang ◽  
Ningfang Song ◽  
Yiliang Liu
Keyword(s):  
High Accuracy ◽  
Inertial Measurement Units ◽  
Inertial Measurement ◽  
Measurement Units

scholarly journals Auto-Correction of 3D-Orientation of IMUs on Electric Bicycles

Sensors ◽  
2020 ◽  
Vol 20 (3) ◽  
pp. 589
Author(s):  
Jan Schnee ◽  
Jürgen Stegmaier ◽  
Tobias Lipowsky ◽  
Pu Li
Keyword(s):  
Barometric Pressure ◽  
Micro Electro Mechanical System ◽  
High Accuracy ◽  
Inertial Measurement Units ◽  
Inertial Measurement ◽  
Electric Bicycle ◽  
Measurement Units ◽  
Electric Bicycles ◽  
Mems Imu ◽  
2D And 3D

The application of inertial measurement units (IMU) in electronically power-assisted cycles (EPACs) has become increasingly important for improving their functionalities. One central issue of such an application is to calibrate the orientation of the IMU on the EPAC. The approach presented in this paper utilizes common bicycling motions to calibrate the 2D- and 3D-mounting orientation of a micro-electro-mechanical system (MEMS) IMU on an electric bicycle. The method is independent of sensor biases and requires only a very low computation expense and, thus, the estimation can be realized in real-time. In addition, the acceleration biases are estimated using a barometric pressure sensor. The experimental results show high accuracy of the calibrated orientation and estimated sensor biases.

scholarly journals Typical Errors, Accuracy Classes and Currently Expected Accuracy of Inertial Measurement Units

2021 ◽  
pp. 8-14
Author(s):  
Attila Varga ◽  
Tamás Jancsó ◽  
Péter Udvardy
Keyword(s):  
High Accuracy ◽  
Consumer Electronics ◽  
Application Area ◽  
Inertial Measurement Units ◽  
Inertial Measurement ◽  
Operating Modes ◽  
Wide Range ◽  
Measurement Units

Inertial measurement units can nowadays be found in a wide range of applications, from consumer electronics to precision surveying systems requiring high accuracy. IMUs are also widely used in aviation, especially for UAVs. The gyroscopes and accelerometers in IMUs have specific operating modes that would result in specific errors typical of such instruments. This paper reviews the typical errors of IMUs and the accuracy that can be achieved with these instruments today in each application area.

Calibration Technique for Micro Inertial Measurement Units

2014 ◽  
Vol 490-491 ◽  
pp. 1475-1480
Author(s):  
Feng Ying Yue ◽  
Li Sen Sun ◽  
Sheng Fei Zhao
Keyword(s):  
Least Square Method ◽  
High Accuracy ◽  
Least Square ◽  
Inertial Measurement Units ◽  
Calibration Technique ◽  
Inertial Measurement ◽  
Accuracy Level ◽  
Measurement Units ◽  
Linearized Model ◽  
Product Industry

This paper deduces the MIMU miscalibration model from actual installation relation to meet IMU product industry-applied needs. Through analysis and simplification it obtains a linearized model using the least-square method. The simplified linearized model is used to align IMU. Also the parameters error analysis is conducted for further analysis of the calibration result. Finally, simulations are performed to test the algorithm, which indicates that this algorithm can perform the IMU calibration on high-accuracy level.

scholarly journals Analysis of ergonomic and unergonomic human lifting behaviors by using Inertial Measurement Units

2017 ◽  
Vol 3 (1) ◽  
pp. 7-10 ◽  
Author(s):  
Jan Kuschan ◽  
Henning Schmidt ◽  
Jörg Krüger
Keyword(s):  
Quality Of Life ◽  
Machine Learning ◽  
Angular Velocity ◽  
Musculoskeletal System ◽  
Occupational Diseases ◽  
Inertial Measurement Units ◽  
Inertial Measurement ◽  
Measurement Units ◽  
Main Components

Abstract:This paper presents an analysis of two distinct human lifting movements regarding acceleration and angular velocity. For the first movement, the ergonomic one, the test persons produced the lifting power by squatting down, bending at the hips and knees only. Whereas performing the unergonomic one they bent forward lifting the box mainly with their backs. The measurements were taken by using a vest equipped with five Inertial Measurement Units (IMU) with 9 Dimensions of Freedom (DOF) each. In the following the IMU data captured for these two movements will be evaluated using statistics and visualized. It will also be discussed with respect to their suitability as features for further machine learning classifications. The reason for observing these movements is that occupational diseases of the musculoskeletal system lead to a reduction of the workers’ quality of life and extra costs for companies. Therefore, a vest, called CareJack, was designed to give the worker a real-time feedback about his ergonomic state while working. The CareJack is an approach to reduce the risk of spinal and back diseases. This paper will also present the idea behind it as well as its main components.

scholarly journals Inertial measurement units to estimate drag forces and power output during standardised wheelchair tennis coast-down and sprint tests

2021 ◽  
pp. 1-19
Author(s):  
Thomas Rietveld ◽  
Barry S. Mason ◽  
Victoria L. Goosey-Tolfrey ◽  
Lucas H. V. van der Woude ◽  
Sonja de Groot ◽  
...  
Keyword(s):  
Power Output ◽  
Inertial Measurement Units ◽  
Inertial Measurement ◽  
Drag Forces ◽  
Measurement Units

scholarly journals Measurement of respiratory rate with inertial measurement units

2020 ◽  
Vol 6 (3) ◽  
pp. 237-240
Author(s):  
Simon Beck ◽  
Bernhard Laufer ◽  
Sabine Krueger-Ziolek ◽  
Knut Moeller
Keyword(s):  
Air Pollution ◽  
Respiratory Rate ◽  
Frequency Analysis ◽  
Clinical Settings ◽  
Breathing Rate ◽  
Demographic Changes ◽  
Inertial Measurement Units ◽  
Inertial Measurement ◽  
Respiratory Parameters ◽  
Measurement Units

AbstractDemographic changes and increasing air pollution entail that monitoring of respiratory parameters is in the focus of research. In this study, two customary inertial measurement units (IMUs) are used to measure the breathing rate by using quaternions. One IMU was located ventral, and one was located dorsal on the thorax with a belt. The relative angle between the quaternion of each IMU was calculated and compared to the respiratory frequency obtained by a spirometer, which was used as a reference. A frequency analysis of both signals showed that the obtained respiratory rates vary slightly (less than 0.2/min) between the two systems. The introduced belt can analyse the respiratory rate and can be used for surveillance tasks in clinical settings.

scholarly journals Camera and inertial sensor fusion for the PnP problem: algorithms and experimental results

2021 ◽  
Vol 32 (4) ◽  
Author(s):  
Luigi D’Alfonso ◽  
Emanuele Garone ◽  
Pietro Muraca ◽  
Paolo Pugliese
Keyword(s):  
Pose Estimation ◽  
Good Accuracy ◽  
Inertial Sensor ◽  
Experimental Tests ◽  
Inertial Measurement Units ◽  
Magnetic Vector ◽  
Inertial Measurement ◽  
The Earth ◽  
Measurement Units ◽  
Position And Orientation

AbstractIn this work, we face the problem of estimating the relative position and orientation of a camera and an object, when they are both equipped with inertial measurement units (IMUs), and the object exhibits a set of n landmark points with known coordinates (the so-called Pose estimation or PnP Problem). We present two algorithms that, fusing the information provided by the camera and the IMUs, solve the PnP problem with good accuracy. These algorithms only use the measurements given by IMUs’ inclinometers, as the magnetometers usually give inaccurate estimates of the Earth magnetic vector. The effectiveness of the proposed methods is assessed by numerical simulations and experimental tests. The results of the tests are compared with the most recent methods proposed in the literature.

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