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Relevant bibliographies by topics / Inertial and magnetic sensors

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Academic literature on the topic 'Inertial and magnetic sensors'

Author: Grafiati

Published: 4 June 2021

Last updated: 9 February 2022

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Journal articles on the topic "Inertial and magnetic sensors"

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Wada, Tomohito, Mirai Mizutani, James Lee, David Rowlands, and Daniel James. "3D Visualisation of Wearable Inertial/Magnetic Sensors." Proceedings 2, no. 6 (2018): 292. http://dx.doi.org/10.3390/proceedings2060292.

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Bonnet, S., C. Bassompierre, C. Godin, S. Lesecq, and A. Barraud. "Calibration methods for inertial and magnetic sensors." Sensors and Actuators A: Physical 156, no. 2 (2009): 302–11. http://dx.doi.org/10.1016/j.sna.2009.10.008.

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Piso, M. I. "Applications of magnetic fluids for inertial sensors." Journal of Magnetism and Magnetic Materials 201, no. 1-3 (1999): 380–84. http://dx.doi.org/10.1016/s0304-8853(99)00164-x.

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Worsey, Espinosa, Shepherd, and Thiel. "A Systematic Review of Performance Analysis in Rowing Using Inertial Sensors." Electronics 8, no. 11 (2019): 1304. http://dx.doi.org/10.3390/electronics8111304.

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Sporting organizations such as professional clubs and national sport institutions are constantly seeking novel training methodologies in an attempt to give their athletes a cutting edge. The advent of microelectromechanical systems (MEMS) has facilitated the integration of small, unobtrusive wearable inertial sensors into many coaches’ training regimes. There is an emerging trend to use inertial sensors for performance monitoring in rowing; however, the use and selection of the sensor used has not been appropriately reviewed. Previous literature assessed the sampling frequency, position, and fixing of the sensor; however, properties such as the sensor operating ranges, data processing algorithms, and validation technology are left unevaluated. To address this gap, a systematic literature review on rowing performance monitoring using inertial-magnetic sensors was conducted. A total of 36 records were included for review, demonstrating that inertial measurements were predominantly used for measuring stroke quality and the sensors were used to instrument equipment rather than the athlete. The methodology for both selecting and implementing technology appeared ad hoc, with no guidelines for appropriate analysis of the results. This review summarizes a framework of best practice for selecting and implementing inertial sensor technology for monitoring rowing performance. It is envisaged that this review will act as a guide for future research into applying technology to rowing.

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Neto, Pedro, Nuno Mendes, and A. Paulo Moreira. "Kalman filter-based yaw angle estimation by fusing inertial and magnetic sensing: a case study using low cost sensors." Sensor Review 35, no. 3 (2015): 244–50. http://dx.doi.org/10.1108/sr-10-2014-0723.

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Purpose – The purpose of this paper is to achieve reliable estimation of yaw angles by fusing data from low-cost inertial and magnetic sensing. Design/methodology/approach – In this paper, yaw angle is estimated by fusing inertial and magnetic sensing from a digital compass and a gyroscope, respectively. A Kalman filter estimates the error produced by the gyroscope. Findings – Drift effect produced by the gyroscope is significantly reduced and, at the same time, the system has the ability to react quickly to orientation changes. The system combines the best of each sensor, the stability of the magnetic sensor and the fast response of the inertial sensor. Research limitations/implications – The system does not present a stable behavior in the presence of large vibrations. Considerable calibration efforts are needed. Practical implications – Today, most of human–robot interaction technologies need to have the ability to estimate orientation, especially yaw angle, from small-sized and low-cost sensors. Originality/value – Existing methods for inertial and magnetic sensor fusion are combined to achieve reliable estimation of yaw angle. Experimental tests in a human–robot interaction scenario show the performance of the system.

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Patonis, Photis, Petros Patias, Ilias N. Tziavos, Dimitrios Rossikopoulos, and Konstantinos G. Margaritis. "A Fusion Method for Combining Low-Cost IMU/Magnetometer Outputs for Use in Applications on Mobile Devices." Sensors 18, no. 8 (2018): 2616. http://dx.doi.org/10.3390/s18082616.

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This paper presents a fusion method for combining outputs acquired by low-cost inertial measurement units and electronic magnetic compasses. Specifically, measurements of inertial accelerometer and gyroscope sensors are combined with no-inertial magnetometer sensor measurements to provide the optimal three-dimensional (3D) orientation of the sensors’ axis systems in real time. The method combines Euler–Cardan angles and rotation matrix for attitude and heading representation estimation and deals with the “gimbal lock” problem. The mathematical formulation of the method is based on Kalman filter and takes into account the computational cost required for operation on mobile devices as well as the characteristics of the low-cost microelectromechanical sensors. The method was implemented, debugged, and evaluated in a desktop software utility by using a low-cost sensor system, and it was tested in an augmented reality application on an Android mobile device, while its efficiency was evaluated experimentally.

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Yang, Zhicheng, Shenggang Yan, Bert-Jan F. van Beijnum, Bin Li, and Peter H. Veltink. "Hand-Finger Pose Estimation Using Inertial Sensors, Magnetic Sensors and a Magnet." IEEE Sensors Journal 21, no. 16 (2021): 18115–22. http://dx.doi.org/10.1109/jsen.2021.3085993.

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de Vries, W. H. K., H. E. J. Veeger, C. T. M. Baten, and F. C. T. van der Helm. "Magnetic distortion in motion labs, implications for validating inertial magnetic sensors." Gait & Posture 29, no. 4 (2009): 535–41. http://dx.doi.org/10.1016/j.gaitpost.2008.12.004.

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Campolo, Domenico, Fabrizio Taffoni, Domenico Formica, Giuseppina Schiavone, Flavio Keller, and Eugenio Guglielmelli. "Inertial-Magnetic Sensors for Assessing Spatial Cognition in Infants." IEEE Transactions on Biomedical Engineering 58, no. 5 (2011): 1499–503. http://dx.doi.org/10.1109/tbme.2011.2105871.

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Kortier, Henk G., Victor I. Sluiter, Daniel Roetenberg, and Peter H. Veltink. "Assessment of hand kinematics using inertial and magnetic sensors." Journal of NeuroEngineering and Rehabilitation 11, no. 1 (2014): 70. http://dx.doi.org/10.1186/1743-0003-11-70.

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Dissertations / Theses on the topic "Inertial and magnetic sensors"

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Peterson, Christopher W. "AN INVESTIGATION OF THE EFFECTS OF MAGNETIC VARIATIONS ON INERTIAL/MAGNETIC ORIENTATION SENSORS." Miami University / OhioLINK, 2003. http://rave.ohiolink.edu/etdc/view?acc_num=miami1063132921.

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Hedberg, Erik, and Mikael Hammar. "Train Localization and Speed Estimation Using On-Board Inertial and Magnetic Sensors." Thesis, Linköpings universitet, Reglerteknik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-121620.

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Positioning systems for trains are traditionally based on track-side infrastructure, implying costs for both installation and maintenance. A reliable on-board system would therefore be attractive. Sufficient reliability for on-board systems is likely going to require a multi-sensor solution. This thesis investigates how measurements from bogie-mounted inertial and magnetic sensors can contribute to such a system. The first part introduces and compares two different methods for estimating the speed. The first one estimates the fundamental frequency of the variations in the magnetic field, and the second one analyses the mechanical vibrations using the accelerometer and gyro, where one mode is due to the wheel irregularities. The second part introduces and evaluates a method for train localization using magnetic signatures. The method is evaluated both as a solution for localization along a given track and at switchways. Overall, the results in both parts show that bogie-mounted inertial and magnetic sensors provide accurate estimates of both speed (within 0.5 m/s typically) and location (3-5 m accuracy typically).

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Frick, Eric Christopher. "Mitigation of magnetic interference and compensation of bias drift in inertial sensors." Thesis, University of Iowa, 2015. https://ir.uiowa.edu/etd/5472.

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Magnetic interference in the motion capture environment is caused primarily by ferromagnetic objects and current-carrying devices disturbing the ambient, geomagnetic field. Inertial sensors gather magnetic data to determine and stabilize their global heading estimates, and such magnetic field disturbances alter heading estimates. This decreases orientation accuracy and therefore decreases motion capture accuracy. The often used Kalman Filter approach deals with magnetic interference by ignoring the magnetic data during periods interference is encountered, but this method is only effective when the disturbances are ephemeral, and cannot not retroactively repair data from disturbed time periods. The objective of this research is to develop a method of magnetic interference mitigation for environments where magnetic interference is the norm rather than the exception. To the knowledge of this author, the ability to use inertial and magnetic sensors to capture accurate, global, and drift-free orientation data in magnetically disturbed areas has yet to be developed. Furthermore there are no methods known to this author that are able to use data from undisturbed time periods to retroactively repair data from disturbed time periods. The investigation begins by exploring the use of magnetic shielding, with the reasoning that application of shielding so as to impede disturbed fields from affecting the inertial sensors would increase orientation accuracy. It was concluded that while shielding can mitigate the effect of magnetic interference, its application requires a tedious trial and error testing that was not guaranteed to improve results. Furthermore, shielding works by redirecting magnetic field lines, increasing field complexity, and thus has a high potential to exacerbate magnetic interference. Shielding was determined to be an impractical approach, and development of a magnetic inference mitigation algorithm began. The algorithm was constructed such that magnetic data would be filtered before inclusion in the orientation estimate, with the result that exposure in an undisturbed environment would improve estimation, but exposure to a disturbed environment would have no effect. The algorithm was designed for post-processing, rather than real-time use as Kalman Filters are, which enabled magnetic data gathered before and after a time point could affect estimation. The algorithm was evaluated by comparing it with the Kalman Filter approach of the company XSENS, using the gold standard of optical motion capture as the reference point. Under the tested conditions of stationary periods and smooth planar motion, the developed algorithm was resistant to magnetic interference for the duration of testing, while the Kalman Filter began to degrade after approximately 15 seconds. In a 190 second test, of which 180 were spent in a disturbed environment, the developed algorithm resulted in 0.4 degrees of absolute error, compared to the of the Kalman Filter’s 78.8 degrees. The developed algorithm shows the potential for inertial systems to be used effectively in situations of consistent magnetic interference. As the benefits of inertial motion capture make it a more attractive option than optical motion capture, immunity to magnetic interference significantly expands the usable range of motion capture environments. Such expansion would be beneficial for motion capture studies as a whole, allowing for the cheaper, more practical inertial approach to motion capture to supplant the more expensive and time consuming optimal option.

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Anicio, de Magalhaes Fabricio <1980&gt. "Three-dimensional joint kinematics of swimming using body-worn inertial and magnetic sensors." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2014. http://amsdottorato.unibo.it/6595/.

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Wearable inertial and magnetic measurements units (IMMU) are an important tool for underwater motion analysis because they are swimmer-centric, they require only simple measurement set-up and they provide the performance results very quickly. In order to estimate 3D joint kinematics during motion, protocols were developed to transpose the IMMU orientation estimation to a biomechanical model. The aim of the thesis was to validate a protocol originally propositioned to estimate the joint angles of the upper limbs during one-degree-of-freedom movements in dry settings and herein modified to perform 3D kinematics analysis of shoulders, elbows and wrists during swimming. Eight high-level swimmers were assessed in the laboratory by means of an IMMU while simulating the front crawl and breaststroke movements. A stereo-photogrammetric system (SPS) was used as reference. The joint angles (in degrees) of the shoulders (flexion-extension, abduction-adduction and internal-external rotation), the elbows (flexion-extension and pronation-supination), and the wrists (flexion-extension and radial-ulnar deviation) were estimated with the two systems and compared by means of root mean square errors (RMSE), relative RMSE, Pearson’s product-moment coefficient correlation (R) and coefficient of multiple correlation (CMC). Subsequently, the athletes were assessed during pool swimming trials through the IMMU. Considering both swim styles and all joint degrees of freedom modeled, the comparison between the IMMU and the SPS showed median values of RMSE lower than 8°, representing 10% of overall joint range of motion, high median values of CMC (0.97) and R (0.96). These findings suggest that the protocol accurately estimated the 3D orientation of the shoulders, elbows and wrists joint during swimming with accuracy adequate for the purposes of research. In conclusion, the proposed method to evaluate the 3D joint kinematics through IMMU was revealed to be a useful tool for both sport and clinical contexts.

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Peng, Yingqi. "Japanese Black Cattle Behavior Pattern Classification Based on Neural Networks Using Inertial Sensors and Magnetic Direction Sensor." Kyoto University, 2019. http://hdl.handle.net/2433/244558.

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Orsini, Valentina. "Shoulder kinematic evaluation in patients with rotator cuff tears using inertial and magnetic sensors." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amslaurea.unibo.it/19455/.

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Questo progetto di tesi fa parte di un più ampio studio clinico condotto all’interno dell’azienda NCS Lab (Carpi,(MO)), in collaborazione con il Dr. Claudio Chillemi (ICOT, Latina (RM)) che mira ad eseguire un confronto tra diverse tecniche chirurgiche per la riparazione della cuffia dei rotatori. Lo studio clinico in questione durerà circa due anni: per questo motivo i dati analizzati in questo progetto di tesi provengono solo dal gruppo di pazienti acquisiti nella fase preoperatoria. Tutti i dati sono stati acquisiti utilizzando i sensori magneto-inerziali WISE (tecnologia proprietaria dell’azienda NCS Lab). Questo lavoro di tesi si propone, quindi, di valutare la ripetibilità del movimento in termini di coefficiente di correlazione multipla e di estrapolare alcuni parametri di interesse clinico come, ad esempio, i range di movimento (ROM) della scapola e dell’omero e il ritmo scapolo-omerale (SHR). Questi parametri sono stati poi caratterizzati da un punto di vista statistico al fine di valutare le differenze tra arto patologico e controlaterale. Sono state calcolate, inoltre, le prediction bands con lo scopo di descrivere le differenze tra arto patologico e controlaterale nella coordinazione scapolo-omerale dei pazienti. Per quanto riguarda la ripetibilità del movimento, i risultati ottenuti in questo lavoro di tesi mostrano che la rotazione medio-laterale è caratterizzata da un eccellente CMC sia per l'arto patologico che per il controlaterale. Inoltre, sono state riscontrate differenze significative dal punto di vista statistico tra le distribuzioni dei range di movimento dell'arto patologico e controlaterale. Tali differenze sono state trovate anche per quanto riguarda il ritmo scapolo-omerale.

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Montgomery, Eric W. "Design and Implementation of Real-Time Software for Sourceless Full Body-Tracking using Small Inertial/Magnetic Sensors." Miami University / OhioLINK, 2003. http://rave.ohiolink.edu/etdc/view?acc_num=miami1051192415.

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Oagaz, Hawkar Ali. "An Investigation of Measuring Energy and Power During Walking on Slopes Using Foot Mounted Inertial Magnetic sensors." Miami University / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=miami1501177386277178.

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Chen, Howard. "The effects of movement speeds and magnetic disturbance on inertial measurement unit accuracy: the implications of sensor fusion algorithms in occupational ergonomics applications." Diss., University of Iowa, 2017. https://ir.uiowa.edu/etd/5437.

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Accurate risk assessment tools and methods are necessary to understand the relationship between occupational exposure to physical risk factors and musculoskeletal disorders. Ergonomists typically consider direct measurement methods to be the most objective and accurate of the available tools. However, direct measurement methods are often not used due to cost, practicality, and worker/workplace disruption. Inertial measurement units (IMUs), a relatively new direct measurement technology used to assess worker kinematics, are attractive to ergonomists due to their small size, low cost, and ability to reliably capture information across full working shifts. IMUs are often touted as a field-capable alternative to optical motion capture systems (OMCs). The error magnitudes of IMUs, however, can vary significantly (>15°) both within and across studies. The overall goals of this thesis were to (i) provide knowledge about the capabilities and limitations of IMUs in order to explain the inconsistencies observed in previous studies that assessed IMU accuracy, and (ii) provide guidance for the ergonomics community to leverage this technology. All three studies in this dissertation systematically evaluated IMUs using a repetitive material transfer task performed by thirteen participants with varying movement speeds (15, 30, 45 cycles/minute) and magnetic disturbance (absent, present). An OMC system was used as the reference device. This first study systematically evaluated the effects of motion speed and magnetic disturbance on the spatial orientation accuracy of an inertial measurement unit (IMU) worn on the hand. Root-mean-square differences (RMSD) exceeded 20° when inclination measurements (pitch and roll) were calculated using the IMU’s accelerometer. A linear Kalman filter and a proprietary, embedded Kalman filter reduced inclination RMSD to < 3° across all movement speeds. The RMSD in the heading direction (i.e., about gravity) increased (from < 5° to 17°) under magnetic disturbance. The linear Kalman filter and the embedded Kalman filter reduced heading RMSD to < 12° and < 7°, respectively. This study indicated that the use of IMUs and Kalman filters can improve inclinometer measurement accuracy. However, magnetic disturbances continue to limit the accuracy of three-dimensional IMU motion capture. The goal of the second study was to understand the capability of IMU inclinometers to improve estimates of angular displacements and velocities of the upper arm. RMSD and peak displacement error exceeded 11° and 28° at the fastest transfer rate (45 cycles/min) when upper arm elevation was calculated using the IMU accelerometer. The implementation of a Kalman filter reduced RMS and peak errors to < 1.5° and < 2.3°, respectively. Similarly, the RMS and peak error for accelerometer-derived velocities exceeded 81°/s and 221.3°/s, respectively, at the fastest transfer rate. The Kalman filter reduced RMS and peak errors to < 9.2°/s and < 25.1°/s, respectively. The third study was conducted to evaluate the relationship between magnetic field strength variation and magnetic heading deviation. In this study, the presence of the metal plate increased magnetic heading deviations from < 12° (90th-10th percentile) to approximately 30°. As expected, the magnetic field strength standard deviation increased from 1.0uT to 2.4uT. While this relationship may differ across other sources of magnetic disturbance, the results reinforce the notion that local magnetic field disturbances should be minimized when using IMUs for human motion capture. Overall, the findings from this thesis contribute to the ergonomics community’s understanding of the current capabilities and limitations of IMUs. These studies suggest that while the touted capabilities of the IMUs (full-body motion capture in workplace settings) may be unattainable based on current sensor technology, these sensors are still significantly more accurate than the accelerometer-based inclinometers commonly used by ergonomists to measure motions of the upper arms.

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Bade, Satyanarayana. "Propagation of atoms in a magnetic waveguide on a chip." Thesis, Paris 6, 2016. http://www.theses.fr/2016PA066718/document.

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Dans cette thèse, nous étudions la propagation des atomes dans un guide magnétique toroïdal, dans le but de développer un capteur inertiel. Ici, nous présentons différentes stratégies pour créer un guide sur une puce atomique pour un interférometre Sagnac atomique guidé. Nous avons mis au point trois solutions qui peuvent être realisé avec la même configuration des fils. Ils utilise la technique de modulation de courant avec un nouveau point de vue qui traite simultanément la problème de rugosité des fils et les pertes de Majorana dépendant du spin. L'effect de la propagation multimode des atomes dan le guide est aussi quantifié dans cette thèse. En utilisant un modèle simple, nous avons couvert les cas de la propagation de gaz non interactif ultra froids et thermique. Nous avons identifié les conditions operationelles pour realiser un interferometre à atomes froids avec une grande gamme dynamique, essentielle pour les application en navigation inertielle. Expérimentalement, cette thèse decrit la réalisation et la characterisation de la source atomes froids proche d'un substrat avec un dépôt d'or, ainsi que l'implémentation et la caracterisation des systèmes de détection<br>In this thesis we study the propagation of atoms in a magnetic toroidal waveguide, with the aim of developing an inertial sensor. Here, we present different strategies to create the waveguide on an atom chip for a guided Sagnac atom interferometer. We devised three solutions which can be achieved using the same wire configuration. They use the current modulation technique, from a new point of view, which simultaneously tackles the problem of wire corrugation and spin dependent Majorana atom losses. The effect of the multimode propagation of the atoms in the guide is also quantified in this thesis. Using a simple model, we covered the propagation of noninteracting ultracold and thermal gases. We identified the operating conditions to realize a cold atom interferometer with a large dynamic range essential for applications in inertial navigation. Experimentally, the thesis describes the realisation and characterisation of the cold atom source close to a gold coated substrate, as well as the implementation and the characterisation of the atom detection systems

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Books on the topic "Inertial and magnetic sensors"

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Sammarco, John J. Mining machine orientation control based on inertial, gravitational, and magnetic sensors. U.S. Dept. of the Interior, Bureau of Mines, 1990.

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Zemel, Jay N., W. Göpel, and J. Hesse. Sensors: A comprehensive survey : magnetic sensors. VCH, 1989.

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Solid state magnetic sensors. Elsevier, 1994.

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Brauer, John R. Magnetic Actuators and Sensors. John Wiley & Sons, Ltd., 2006.

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Brauer, John R. Magnetic Actuators and Sensors. John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118779262.

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Brauer, John R. Magnetic Actuators and Sensors. John Wiley & Sons, Inc., 2006. http://dx.doi.org/10.1002/0471777714.

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Stott, Peter E., Alan Wootton, Giuseppe Gorini, Elio Sindoni, and Dimitri Batani, eds. Advanced Diagnostics for Magnetic and Inertial Fusion. Springer US, 2002. http://dx.doi.org/10.1007/978-1-4419-8696-2.

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International Conference on Advanced Diagnostics for Magnetic and Inertial Fusion (2001 Varenna, Italy). Advanced diagnostics for magnetic and inertial fusion. Kluwer Academic/Plenum Publishers, 2002.

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Hol, Jeroen. Pose estimation and calibration algorithms for vision and inertial sensors. Department of Electrical Engineering, Linko ping University, 2008.

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Fontal, J. Menendez. Design and development of inertial sensors for part location by robots. University of Birmingham, 1987.

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Book chapters on the topic "Inertial and magnetic sensors"

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Abyarjoo, Fatemeh, Armando Barreto, Jonathan Cofino, and Francisco R. Ortega. "Implementing a Sensor Fusion Algorithm for 3D Orientation Detection with Inertial/Magnetic Sensors." In Lecture Notes in Electrical Engineering. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06773-5_41.

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Altun, Kerem, and Billur Barshan. "Human Activity Recognition Using Inertial/Magnetic Sensor Units." In Human Behavior Understanding. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14715-9_5.

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Lach, Ewa. "Evaluation of Automatic Calibration Method for Motion Tracking Using Magnetic and Inertial Sensors." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39904-1_30.

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Lambrecht, S., I. Jonkers, and J. L. Pons. "Identification and Decomposition of Error in 3D Motion Capture Using Inertial and Magnetic Sensors." In Converging Clinical and Engineering Research on Neurorehabilitation. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-34546-3_117.

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Šeketa, Goran, Dominik Džaja, Sara Žulj, Luka Celić, Igor Lacković, and Ratko Magjarević. "Real-Time Evaluation of Repetitive Physical Exercise Using Orientation Estimation from Inertial and Magnetic Sensors." In First European Biomedical Engineering Conference for Young Investigators. Springer Singapore, 2015. http://dx.doi.org/10.1007/978-981-287-573-0_3.

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Karunarathne, M. Sajeewani, Nhan Dang Nguyen, Medhani P. Menikidiwela, and Pubudu N. Pathirana. "The Study to Track Human Arm Kinematics Applying Solutions of Wahba’s Problem upon Inertial/Magnetic Sensors." In Inclusive Smart Cities and Digital Health. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39601-9_35.

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Ojeda, Lauro V. "Inertial Sensors." In Biomechanical Principles and Applications in Sports. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-13467-9_8.

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Schomburg, Werner Karl. "Inertial Sensors." In Introduction to Microsystem Design. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19489-4_23.

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Deyhle, Hans, Georg Schulz, Bert Müller, et al. "Inertial Sensors." In Encyclopedia of Nanotechnology. Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-90-481-9751-4_100316.

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Schomburg, Werner Karl. "Inertial Sensors." In Introduction to Microsystem Design. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-47023-7_24.

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Conference papers on the topic "Inertial and magnetic sensors"

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Bevan, Dennis, Michael Bulatowicz, Philip Clark, et al. "Nuclear magnetic resonance gyroscope: Developing a primary rotation sensor." In 2018 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL). IEEE, 2018. http://dx.doi.org/10.1109/isiss.2018.8358162.

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Sabou, Sebastian, Stefan Oniga, and Claudiu Lung. "Magnetic sensors in inertial navigation system." In 2014 IEEE 20th International Symposium for Design and Technology in Electronic Packaging (SIITME). IEEE, 2014. http://dx.doi.org/10.1109/siitme.2014.6967030.

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Skog, Isaac. "Inertial and Magnetic-Field Sensor Arrays - Capabilities and Challenges." In 2018 IEEE Sensors. IEEE, 2018. http://dx.doi.org/10.1109/icsens.2018.8589760.

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Young Soo Suh, Tri Nhut Do, Young Sik Ro, and Hee Jun Kang. "A smoother for attitude estimation using inertial and magnetic sensors." In 2010 Ninth IEEE Sensors Conference (SENSORS 2010). IEEE, 2010. http://dx.doi.org/10.1109/icsens.2010.5690754.

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Liu, Tao, Yoshio Inoue, and Kyoko Shibata. "Simplified Kalman filter for a wireless inertial-magnetic motion sensor." In 2011 IEEE Sensors. IEEE, 2011. http://dx.doi.org/10.1109/icsens.2011.6127397.

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Pinrod, Visarute, Sachin Nadig, Benyamin Davaji, and Amit Lal. "3-axis MEMS gyroscope calibration stage: Magnetic actuation enabled out-of-plane dither for piezoelectric in-plane calibration." In 2017 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL). IEEE, 2017. http://dx.doi.org/10.1109/isiss.2017.7935692.

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Xu, Dacheng, Yiming Ding, Shengyuan Ma, Jiajun Wang, and Heming Zhao. "Anti-Magnetic Disturbance Pedestrians Navigation System Based on MEMS Inertial Sensors." In 2018 IEEE Sensors. IEEE, 2018. http://dx.doi.org/10.1109/icsens.2018.8589822.

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Huang, W., Y. X. Liu, Y. He, L. J. Huo, X. F. Wang, and W. Wang. "The influences of cell’s temperature characteristic on the performance of nuclear magnetic resonance gyroscope." In 2020 DGON Inertial Sensors and Systems (ISS). IEEE, 2020. http://dx.doi.org/10.1109/iss50053.2020.9244889.

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Dorveaux, Eric, David Vissiere, Alain-Pierre Martin, and Nicolas Petit. "Iterative calibration method for inertial and magnetic sensors." In 2009 Joint 48th IEEE Conference on Decision and Control (CDC) and 28th Chinese Control Conference (CCC 2009). IEEE, 2009. http://dx.doi.org/10.1109/cdc.2009.5399503.

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Lei, Ren, Du Jian-bang, and Han Li-jun. "Investigation on azimuth effect of FOG INS multi-position alignment in magnetic field." In 2014 DGON Inertial Sensors and Systems Symposium (ISS). IEEE, 2014. http://dx.doi.org/10.1109/inertialsensors.2014.7049476.

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Reports on the topic "Inertial and magnetic sensors"

1

Thompson, Andrew A. Calibration of Inertial Sensors. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada384788.

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2

El-Gohary, Mahmoud. Joint Angle Tracking with Inertial Sensors. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.661.

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3

Kohler, Stewart M. MEMS inertial sensors with integral rotation means. Office of Scientific and Technical Information (OSTI), 2003. http://dx.doi.org/10.2172/917477.

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4

Clem, Ted R. Magnetic Sensors Project. Defense Technical Information Center, 1997. http://dx.doi.org/10.21236/ada629291.

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5

Clem, Ted R. Magnetic Sensors Project. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada626038.

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Sedaghat, Golriz. Short-Term Tracking of Orientation with Inertial Sensors. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.6351.

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7

Billings, Stephen, Kyle Blay, Keith Leslie, and David Tilbrook. Precision Geolocation of Active Electromagnetic Sensors Using Stationary Magnetic Sensors. Defense Technical Information Center, 2009. http://dx.doi.org/10.21236/ada520710.

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8

Hepner, David J., and Thomas E. Harkins. Determining Inertial Orientation of a Spinning Body With Body-Fixed Sensors. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada391881.

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9

Thompson, Andrew A. A Procedure for Calibrating Magnetic Sensors. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada399851.

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Liou, Sy-Hwang. Magnetic Sensors with Picotesla Magnetic Field Sensitivity at Room Temperature. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada495594.

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