Relevant bibliographies by topics / Xsens inertial measurement system

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  2. Dissertations / Theses
  3. Books
  4. Book chapters
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Academic literature on the topic 'Xsens inertial measurement system'

Author: Grafiati
Published: 10 January 2023
Last updated: 28 January 2023

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Journal articles on the topic "Xsens inertial measurement system"

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Slawinski, Jean, Benjamin Millot, Nicolas Houel, and Daniel Dinu. "Use of an Inertial Measurement System to Calculate Maximal Power during Running Sprint Acceleration: Comparison with the Radar System." Proceedings 49, no. 1 (June 15, 2020): 23. http://dx.doi.org/10.3390/proceedings2020049023.

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The maximal total power (Pmax) is one of the major determinants of sprint performance. It can be calculated using a simple model based on the runner’s velocity. This velocity has already been measured with force plates, video cameras or a radar system, but not with an inertial system. The purpose of this study was to compare Pmax measured with a radar system and with a multiple inertial sensors system. Seven participants (174.0 ± 6.9 cm; 67.7 ± 10.1 kg; 22.3 ± 1.7 years) realized two maximal 40-m sprints. Each athlete was equipped with an instrumented suit composed of 17 inertial measurement units (IMU) (Xsens), and a radar (Stalker ATS) was placed behind them. Both systems measured the athletes’ instantaneous horizontal velocity during the acceleration phase. Using an exponential model, Pmax, maximal velocity (Vmax), the slope of the exponential model (τ), maximal force (F0) and the slope of the force, the velocity relationship (SFV) was calculated. The results showed that Pmax, Vmax, τ, F0 and SFV were not significantly different between the radar and the Xsens system (p > 0.13). Pmax, Vmax and F0 measured with the radar were correlated with the same parameters measured with Xsens (r > 0.81 and p ≤ 0.03). The IMU system can be accurately used to measure the main parameters that determine the sprint running performance: Pmax, Vmax and F0. Moreover, contrary to the radar system, multiple inertial sensors will allow for an understanding of the role of the segments in maximal sprint running.
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Barreto, Joana, César Peixoto, Sílvia Cabral, Andrew Mark Williams, Filipe Casanova, Bruno Pedro, and António P. Veloso. "Concurrent Validation of 3D Joint Angles during Gymnastics Techniques Using Inertial Measurement Units." Electronics 10, no. 11 (May 24, 2021): 1251. http://dx.doi.org/10.3390/electronics10111251.

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There are advantages in using inertial measurement unit systems (IMUS) for biomechanical analysis when compared to 2D/3D video-based analysis. The main advantage is the ability to analyze movement in the natural performance environment, preserving the ecological validity of the task. Coaches can access accurate and detailed data in real time and use it to optimize feedback and performance. Efforts are needed to validate the accuracy of IMUS. We assess the accuracy of the IMUS Xsens MVN Link system using an optoelectronic system (OS) as a reference when measuring 3D joint angles during the gymnastics round-off back handspring technique. We collected movement kinematics from 10 participants. The coefficient of multiple correlation (CMC) results showed very good and excellent values for the majority of the joint angles, except for neck flexion/extension (F/E). Root mean square errors (RMSE) were below/near 10°, with slightly higher values for shoulder (12.571°), ankle (11.068°), thorax-thigh F/E (21.416°), and thorax–thigh internal/external rotation (I/E) (16.312°). Significant SPM-1D {t} differences for thorax–thigh abduction/adduction (A/A), neck, thorax–thigh, knee, shoulder and ankle F/E were demonstrated during small temporal periods. Our findings suggest that the Xsens MVN Link system provides valid data that can be used to provide feedback in training.
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Drapeaux, Alisa, and Kevin Carlson. "A Comparison of Inertial Motion Capture Systems: DorsaVi and Xsens." International Journal of Kinesiology and Sports Science 8, no. 3 (July 31, 2020): 24. http://dx.doi.org/10.7575/aiac.ijkss.v.8n.3p.24.

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Background: dorsaVi Professional Suite, founded in 2018, is a 3D wearable sensor technology system that monitors the kinematic data of the lower extremity and lumbar spine. The dorsaVi system is used in the clinical setting to assist with clinical rehabilitation and preventive measures. Objective: The purpose of this study was to compare the inertial motion capture systems: the dorsaVi Professional Suite and Xsens to determine validity and reliability. Methods: This study utilized nine participants (7 female, 2 male) with data collected on two separate sessions. Each subject performed 15 repetitions each of double leg squats, left single leg squat, and right single leg squat during session one and then repeated the same testing procedure 7-10 days later. Kinematic variables measured were tibial inclination, knee varus, and knee valgus. Pearson product moment correlation coefficients were used to demonstrate the relationship within and between the motion capture systems across the knee positions and squat trials. Results: Within system reliability measurements demonstrated strong correlations (r>0.90) of the lower extremity kinematic data between testing sessions. Between system validity measurements also demonstrated strong correlations (r>0.90) across all lower extremity movements. Conclusions: The dorsaVi Professional Suite knee module kinematic data showed strong correlations to the validated motion capture system (Xsens). Thus, a clinician should be confident in using the dorsaVi in the evaluation, diagnosis, and treatment of patients.
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Santos, Joana, Ana Betty Abreu, Pedro Fonseca, Carlos Carvalhais, J. Santos Baptista, Rubim Santos, and Mário Vaz. "Influence of automation on biomechanical exposure of the upper-limbs in an industrial assembly line: a pilot study." International Journal of Occupational and Environmental Safety 4, no. 2 (November 30, 2020): 1–11. http://dx.doi.org/10.24840/2184-0954_004.002_0001.

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Automation of assembly work was originally developed to increase operation efficiency and to reduce workload. However, a considerable number of unanticipated ergonomic problems have been observed such as the interaction between humans and automated systems. The aims of this study were to quantify joint angle positions (shoulder, elbow and wrist) of workers in two assembly lines with different mechanization levels and analyse the performance of an inertial motion capture system. Seven experienced female assemblers participated in this study. The measurements were performed in the workplace with a full-body inertial measurement system (Xsens MVN BIOMECH system). Maximum cross-correlation between angle-time courses was calculated to quantify the waveform similarities. In manual line, there are larger variations of joint angles than in the semi-automatic one. The analysis of cross correlation coefficients revealed that electromagnetic interferences are potential limitations to the use of these systems under field conditions.
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Kutilek, Patrik, Zdenek Svoboda, Ondrej Cakrt, Karel Hana, and Martin Chovanec. "Postural Stability Evaluation of Patients Undergoing Vestibular Schwannoma Microsurgery Employing the Inertial Measurement Unit." Journal of Healthcare Engineering 2018 (2018): 1–10. http://dx.doi.org/10.1155/2018/2818063.

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The article focuses on a noninvasive method and system of quantifying postural stability of patients undergoing vestibular schwannoma microsurgery. Recent alternatives quantifying human postural stability are rather limited. The major drawback is that the posturography system can evaluate only two physical quantities of body movement and can be measured only on a transverse plane. A complex movement pattern can be, however, described more precisely while using three physical quantities of 3-D movement. This is the reason why an inertial measurement unit (Xsens MTx unit), through which we obtained 3-D data (three Euler angles or three orthogonal accelerations), was placed on the patient’s trunk. Having employed this novel method based on the volume of irregular polyhedron of 3-D body movement during quiet standing, it was possible to evaluate postural stability. To identify and evaluate pathological balance control of patients undergoing vestibular schwannoma microsurgery, it was necessary to calculate the volume polyhedron using the 3-D Leibniz method and to plot three variables against each other. For the needs of this study, measurements and statistical analysis were made on nine patients. The results obtained by the inertial measurement unit showed no evidence of improvement in postural stability shortly after surgery (4 days). The results were consistent with the results obtained by the posturography system. The evaluated translation variables (acceleration) and rotary variables (angles) measured by the inertial measurement unit correlate strongly with the results of the posturography system. The proposed method and application of the inertial measurement unit for the purpose of measuring patients with vestibular schwannoma appear to be suitable for medical practice. Moreover, the inertial measurement unit is portable and, when compared to other traditional posturography systems, economically affordable. Inertial measurement units can alternatively be implemented in mobile phones or watches.
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Goźdź, Aleksandra, Maciej Kalinowski, and Piotr Kopniak. "Method of synchronization and data processing from differents inertial sensors kits sources for the human gait analysis." Journal of Computer Sciences Institute 9 (December 30, 2018): 345–49. http://dx.doi.org/10.35784/jcsi.708.

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The article talks about results of data synchronization measurements sourced from two recording gait systems for human gait analyses. Two systems are Xsens sensor kits: MT Awinda, Xbus Kit. The article cover file format used to save data and synchronization method for sensor measurement from above mentioned kits. On the basis of the studies carried out, sensor measurement from different places on human body are unify to a common frame of reference. The discussed method provides also progressive data processing for angles range from -180° to 180° conversion to the absolute angle value from initial sensor settings.
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Buckley, Nicholas, Paul Davey, Lynn Jensen, Kevin Baptist, Bas Jansen, Amity Campbell, and Jenny Downs. "Can Wearable Inertial Measurement Units Be Used to Measure Sleep Biomechanics? Establishing Initial Feasibility and Validity." Biomimetics 8, no. 1 (December 21, 2022): 2. http://dx.doi.org/10.3390/biomimetics8010002.

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Wearable motion sensors, specifically, Inertial Measurement Units, are useful tools for the assessment of orientation and movement during sleep. The DOTs platform (Xsens, Enschede, The Netherlands) has shown promise for this purpose. This pilot study aimed to assess its feasibility and validity for recording sleep biomechanics. Feasibility was assessed using four metrics: Drift, Battery Life, Reliability of Recording, and Participant Comfort. Each metric was rated as Stop (least successful), Continue But Modify Protocol, Continue But Monitor Closely, or Continue Without Modifications (most successful). A convenience sample of ten adults slept for one night with a DOT unit attached to their sternum, abdomen, and left and right legs. A survey was administered the following day to assess participant comfort wearing the DOTs. A subset of five participants underwent a single evaluation in a Vicon (Oxford Metrics, England, Oxford) motion analysis lab to assess XSENS DOTs’ validity. With the two systems recording simultaneously, participants were prompted through a series of movements intended to mimic typical sleep biomechanics (rolling over in lying), and the outputs of both systems were compared to assess the level of agreement. The DOT platform performed well on all metrics, with Drift, Battery Life, and Recording Reliability being rated as Continue Without Modifications. Participant Comfort was rated as Continue But Monitor Closely. The DOT Platform demonstrated an extremely high level of agreement with the Vicon motion analysis lab (difference of < 0.025°). Using the Xsens DOT platform to assess sleep biomechanics is feasible and valid in adult populations. Future studies should further investigate the feasibility of using this data capture method for extended periods (e.g., multiple days) and in other groups (e.g., paediatric populations).
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Uradzinski, Marcin, and Hang Guo. "Pedestrian navigation system based on the inertial measurement unit sensor for outdoor and indoor environments." Journal of Sensors and Sensor Systems 9, no. 1 (January 21, 2020): 7–13. http://dx.doi.org/10.5194/jsss-9-7-2020.

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Abstract. With the continuous improvement of the hardware level of the inertial measurement unit (IMU), indoor pedestrian dead reckoning (PDR) using an inertial device has been paid more and more attention. Typical PDR system position estimation is based on acceleration obtained from accelerometers to measure the step count, estimate step length and generate the position with the heading received from angular sensors (magnetometers and gyroscopes). Unfortunately, collected signals are very responsive to the alignment of sensor devices, built-in instrumental errors and distortions from the surrounding environment. In our work, a pedestrian positioning method using step detection based on a shoe-mounted inertial unit is arranged and put to the test, and the final results are analyzed. The extended Kalman filter (EKF) provides estimation of the errors which are acquired by the XSENS IMU sensor biases. The EKF is revised with acceleration and angular rate computations by the ZUPT (zero velocity update) and ZARU (zero angular rate update) algorithms. The step detection associated with these two solutions is the perfect choice to calculate the current position and distance walked and to estimate the IMU sensors' collected errors by using EKF. The test with a shoe-mounted IMU device was performed and analyzed in order to check the performance of the recommended method. The combined PDR final results were compared to GPS/Beidou postprocessing kinematic results (outdoor environment) and to a real route which was prepared and calculated for an indoor environment. After the comparison, the results show that the accuracy of the regular-speed walking under ZUPT and ZARU combination in the case of outdoor positioning did not go beyond 0.19 m (SD) and for indoor positioning accuracy did not exceed 0.22 m (SD). The authors are conscious that built-in drift errors coming from accelerometers and gyroscopes, as well as the final position obtained by XSENS IMU, are only stable for a short time period. Based on this consideration, our future work will be focused on supporting the methods presented with radio technologies (WiFi) or image-based solutions to correct all IMU imperfections.
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Poitras, Isabelle, Mathieu Bielmann, Alexandre Campeau-Lecours, Catherine Mercier, Laurent J. Bouyer, and Jean-Sébastien Roy. "Validity of Wearable Sensors at the Shoulder Joint: Combining Wireless Electromyography Sensors and Inertial Measurement Units to Perform Physical Workplace Assessments." Sensors 19, no. 8 (April 20, 2019): 1885. http://dx.doi.org/10.3390/s19081885.

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Background: Workplace adaptation is the preferred method of intervention to diminish risk factors associated with the development of work-related shoulder disorders. However, the majority of the workplace assessments performed are subjective (e.g., questionnaires). Quantitative assessments are required to support workplace adaptations. The aims of this study are to assess the concurrent validity of inertial measurement units (IMUs; MVN, Xsens) in comparison to a motion capture system (Vicon) during lifting tasks, and establish the discriminative validity of a wireless electromyography (EMG) system for the evaluation of muscle activity. Methods: Sixteen participants performed 12 simple tasks (shoulder flexion, abduction, scaption) and 16 complex lifting tasks (lifting crates of different weights at different heights). A Delsys Trigno EMG system was used to record anterior and middle deltoids’ EMG activity, while the Xsens and Vicon simultaneously recorded shoulder kinematics. Results: For IMUs, correlation coefficients were high (simple task: >0.968; complex task: >0.84) and RMSEs were low (simple task: <6.72°; complex task: <11.5°). For EMG, a significant effect of weight, height and a weight x height interaction (anterior: p < 0.001; middle: p < 0.03) were observed for RMS EMG activity. Conclusions: These results suggest that wireless EMG and IMUs are valid units that can be used to measure physical demand in workplace assessments.
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Bistrov, Vadim. "Performance Analysis of Alignment Process of MEMS IMU." International Journal of Navigation and Observation 2012 (November 12, 2012): 1–11. http://dx.doi.org/10.1155/2012/731530.

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The procedure of determining the initial values of the attitude angles (pitch, roll, and heading) is known as the alignment. Also, it is essential to align an inertial system before the start of navigation. Unless the inertial system is not aligned with the vehicle, the information provided by MEMS (microelectromechanical system) sensors is not useful for navigating the vehicle. At the moment MEMS gyroscopes have poor characteristics and it’s necessary to develop specific algorithms in order to obtain the attitude information of the object. Most of the standard algorithms for the attitude estimation are not suitable when using MEMS inertial sensors. The wavelet technique, the Kalman filter, and the quaternion are not new in navigation data processing. But the joint use of those techniques for MEMS sensor data processing can give some new results. In this paper the performance of a developed algorithm for the attitude estimation using MEMS IMU (inertial measurement unit) is tested. The obtained results are compared with the attitude output of another commercial GPS/IMU device by Xsens. The impact of MEMS sensor measurement noises on an alignment process is analysed. Some recommendations for the Kalman filter algorithm tuning to decrease standard deviation of the attitude estimation are given.
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Dissertations / Theses on the topic "Xsens inertial measurement system"

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Grzybowská, Martina. "Human Mo-cap System Based on Inertial Measurement Units." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2021. http://www.nusl.cz/ntk/nusl-445474.

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Cieľom tejto práce je navrhnúť, zhotoviť a implementovať vlastný systém pre zachytávanie pohybu založený na inerciálnych meracích jednotkách. V rámci budovania teoretického základu bolo preskúmaných viacero metód, avšak primárne bola pozornosť venovaná samotnému inerciálnemu snímanu - jeho kladom a nedostatkom, kľúčovým vlastnostiam a jednotlivým komponentom potrebným pre zostrojenie systému na jeho báze. Tento úvodný zber informácií je nasledovaný fázami návrhu, zhotovenia a zhodnotenia, ktoré sa zaoberajú procesom vývoja a testovania daného riešenia. Hlavným prínosom realizácie systému je zostrojenie zariadení pre snímanie pohybu - jedná sa o malé, ľahké, batériovo napájané zariadenia, ktoré sú kompletne bezdrôtové, či už z hľadiska komunikácie s okolitým svetom, alebo vďaka napájaniu kompatibilnému so štandardom Qi.
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Cinarel, Dilara. "Vibration Isolation Of Inertial Measurement Unit." Master's thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12614069/index.pdf.

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Sensitive devices are affected by extreme vibration excitations during operation so require isolation from high levels of vibration excitations. When these excitation characteristics of the devices are well known, the vibration isolation can be achieved accurately. However, it is possible to have expected profile information of the excitations with respect to frequency. Therefore, it is practical and useful to implement this information in the design process for vibration isolation. In this thesis, passive vibration isolation technique is examined and a computer code is developed which would assist the isolator selection process. Several sample cases in six degree of freedom are designed for a sample excitation and for sample assumptions defined for an inertial measurement unit. Different optimization methods for design optimizations are initially compared and then different designs are arranged according to the optimization results using isolators from catalogues for these sample cases. In the next step, the probable designs are compared according to their isolator characteristics. Finally, one of these designs are selected for each case, taking into account both the probable location deviations and property deviations of isolators.
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Kiran, Sai. "An inertial measurement unit interface and processing system synchronized to global positioning system time." Ohio University / OhioLINK, 1998. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1176489175.

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Aisen, Benjamin Baruch. "An inertial measurement-based gait detection system for active leg prostheses." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/41744.

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Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2007.
Includes bibliographical references (leaves 45-46).
Active leg prostheses can lead to more natural and less energy consuming gait patterns for amputees than passive prostheses can, because they provide a better approximation of the functions of the human leg. Active prostheses use motors to supply torques for added force and greater control at the joints (replacing the functions of normal limb musculature). The necessary amount of torque to apply must be closely correlated with gait characteristics. To properly control an active prosthesis, it is necessary to determine whether one is walking at a stable or varying velocity, on level ground, stairs, or a hill or ramp, and in the latter cases whether one is ascending or descending. In all cases, it is essential to detect transitions between gaits as early as possible, ideally before the foot makes contact with the ground, in order for the control system to adjust accordingly. In this thesis, a sensor system for a lower leg prosthesis is described, and a method for determining the gait transitions from this system are presented. The sensor system consists of an inertial measurement unit comprising three accelerometers and three rate gyroscopes installed on the prosthetic limb and a set of strain gauges on the limb to detect changes in force. Using this instrumented prosthesis, data are collected while an amputee participant transitions from level ground to stair ascent/descent. These data are then processed using an intent recognition method based on a hybrid discrete-continuous physical model of human walking. This method is evaluated for accuracy and robustness for real-time use.
by Benjamin Baruch Aisen.
S.M.
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O-larnnithipong, Nonnarit. "Hand Motion Tracking System using Inertial Measurement Units and Infrared Cameras." FIU Digital Commons, 2018. https://digitalcommons.fiu.edu/etd/3905.

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This dissertation presents a novel approach to develop a system for real-time tracking of the position and orientation of the human hand in three-dimensional space, using MEMS inertial measurement units (IMUs) and infrared cameras. This research focuses on the study and implementation of an algorithm to correct the gyroscope drift, which is a major problem in orientation tracking using commercial-grade IMUs. An algorithm to improve the orientation estimation is proposed. It consists of: 1.) Prediction of the bias offset error while the sensor is static, 2.) Estimation of a quaternion orientation from the unbiased angular velocity, 3.) Correction of the orientation quaternion utilizing the gravity vector and the magnetic North vector, and 4.) Adaptive quaternion interpolation, which determines the final quaternion estimate based upon the current conditions of the sensor. The results verified that the implementation of the orientation correction algorithm using the gravity vector and the magnetic North vector is able to reduce the amount of drift in orientation tracking and is compatible with position tracking using infrared cameras for real-time human hand motion tracking. Thirty human subjects participated in an experiment to validate the performance of the hand motion tracking system. The statistical analysis shows that the error of position tracking is, on average, 1.7 cm in the x-axis, 1.0 cm in the y-axis, and 3.5 cm in the z-axis. The Kruskal-Wallis tests show that the orientation correction algorithm using gravity vector and magnetic North vector can significantly reduce the errors in orientation tracking in comparison to fixed offset compensation. Statistical analyses show that the orientation correction algorithm using gravity vector and magnetic North vector and the on-board Kalman-based orientation filtering produced orientation errors that were not significantly different in the Euler angles, Phi, Theta and Psi, with the p-values of 0.632, 0.262 and 0.728, respectively. The proposed orientation correction algorithm represents a contribution to the emerging approaches to obtain reliable orientation estimates from MEMS IMUs. The development of a hand motion tracking system using IMUs and infrared cameras in this dissertation enables future improvements in natural human-computer interactions within a 3D virtual environment.
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Jayawardene, Kanishka. "A human head motion monitoring system based on an inertial measurement unit." Thesis, McGill University, 2012. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=110713.

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This thesis describes the design and implementation of a human head motion monitoring system based on an inertial measurement unit. The system is to be used by physicians to characterize the head motion when engaging in day-to-day activities before and after corrective surgery is performed on the vestibular system. This system is also to be used by personnel in sports medicine to compare performance between athletes and by coaches to help athletes improve their techniques.The design is implemented using an inertial measurement unit with an accelerometer, a gyroscope, and a magnetometer. Data can be logged on an onboard micro-SD card while transmitting data and receiving commands wirelessly. In doing so, several signal processing techniques such as finite impulse response filters and sensor fusion using Kalman filters are presented. All sensors are calibrated to ensure accuracy and reliability. In addition, this thesis focuses on pattern recognition techniques based on the Bayesian classification method to distinguish different daily activities of users.
Cette thèse décrit la conception et le développement d'une système d'enregistrement des mouvements de la tête reposant sur une unité de mesure inertielle. Le système doit être utilisé par des médecins pour caractériser les mouvements de tête avant et après une chirurgie correctrice effectuée sur le système vestibulaire alors que le patient est engagé dans ses activités journalières. Ce système doit également être utilise en médecine du sport afin de comparer les performances entre athlètes et les entraîneurs pour aider les athlètes à améliorer leurs techniques.Le système comprend une unité de mesure inertielle avec un accéléromètre trois axes, un gyroscope et un magnétomètre. Les données peuvent être enregistrées sur une carte micro-SD lors de la transmission de données et recevoir des commandes sans fil. Ce faisant, plusieurs techniques de traitement du signal tels que des filtres à réponse impulsionnelle finie et la fusion de signaux en utilisant des filtres de Kalman sont présentés. Tous les capteurs sont étalonnés pour garantir l'exactitude absolue. De plus, cette thèse se concentre sur les techniques de reconnaissance de forme basée sur la méthode de classification Bayesienne pour distinguer les différents activités quotidiennes des utilisateurs.
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Venable, Donald T. "Implementation of a 3D Imaging Sensor Aided Inertial Measurement Unit Navigation System." Ohio University / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1218764810.

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Every, Joshua Lee. "Mechanical Design and Dynamic Analysis of a Large Vehicle Inertial Measurement System." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1354201048.

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Mathur, Navin G. "Feasibility of using a low-cost inertial measurement unit with centimeter accuracy differential global positioning system." Ohio University / OhioLINK, 1999. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1181173720.

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Newlin, Michael Linton Hung John Y. Bevly David M. "Design and development of a GPS intermediate frequency and IMU data acquisition system for advanced integrated architectures." Auburn, Ala., 2006. http://repo.lib.auburn.edu/2006%20Fall/Theses/NEWLIN_MICHAEL_7.pdf.

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Books on the topic "Xsens inertial measurement system"

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United States. Congress. House. Committee on Armed Services. Subcommittee on Research and Development. Review of the inertial measurement unit program of the MX missile: Hearings before the Subcommittee on Research and Development and Subcommittee on Procurement and Military Nuclear Systems of the Committee on Armed Services, House of Representatives, One Hundredth Congress, first session, June 10, 12, 18, and 30, 1987. Washington: U.S. G.P.O., 1988.

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Development, United States Congress House Committee on Armed Services Subcommittee on Research and. Review of the inertial measurement unit program of the MX missile: Hearings before the Subcommittee on Research and Development and Subcommittee on Procurement and Military Nuclear Systems of the Committee on Armed Services, House of Representatives, One Hundredth Congress, first session, June 10, 12, 18, and 30, 1987. Washington: U.S. G.P.O., 1988.

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United States. Congress. House. Committee on Armed Services. Subcommittee on Research and Development. Review of the Inertial Measurement Unit Program of the MX Missile: Hearings before the Subcommittee on Research and Development, and Subcommittee on Procurement and Military Nuclear Systems of the Committee on Armed Services, House of Representatives, One-hundredth Congress, first session, June 10, 12, 18, and 30, 1987. Washington: U.S. G.P.O., 1988.

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Flight Demonstration Results of an Inertial Measurement Unit and Global Positioning System Translator Telemetry System. Storming Media, 2001.

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United States. Congress. House. Committee on Armed Services. Subcommittee on Research and Development. and United States. Congress. House. Committee on Armed Services. Subcommittee on Procurement and Military Nuclear Systems., eds. The MX missile inertial measurement unit: A program review : report of the Subcommittee on Research and Development and Subcommittee on Procurement and Military Nuclear Systems of the Committee on Armed Services, House of Representatives, One hundredth Congress, first session. Washington: U.S. G.P.O., 1987.

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Book chapters on the topic "Xsens inertial measurement system"

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Perez, Elisa, Natalia López, Marcos Dominguez, and Eugenio Orosco. "Inertial Measurement System for Upper Limb Joints Tracking." In IFMBE Proceedings, 785–89. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-9038-7_145.

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Jasiński, Marcin, Jędrzej Mączak, Stanisław Radkowski, Sebastian Korczak, Roman Rogacki, Jarosław Mac, and Jan Szczepaniak. "Autonomous Agricultural Robot—Conception of Inertial Navigation System." In Challenges in Automation, Robotics and Measurement Techniques, 669–79. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-29357-8_58.

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Jacob, Thomas. "Integrated System for Automatic Landing Using Differential GPS and Inertial Measurement Unit." In Kinematic Systems in Geodesy, Surveying, and Remote Sensing, 405–22. New York, NY: Springer New York, 1991. http://dx.doi.org/10.1007/978-1-4612-3102-8_37.

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Niestroj, Fabian, and Joachim Melbert. "Microsensor Based 3D Inertial Measurement System for Motion Tracking in Crash Tests." In Advanced Microsystems for Automotive Applications 2010, 337–46. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16362-3_32.

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Garnett, Richard F., Gerard A. Davis, Richard F. Sesek, Sean Gallagher, Mark C. Schall, and Howard Chen. "Evaluating an Inertial Measurement Unit Based System for After-Reach Speed Measurement in Power Press Applications." In Advances in Human Factors in Wearable Technologies and Game Design, 146–57. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94619-1_14.

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Zegarra, Jesus, and René Farcy. "GPS and Inertial Measurement Unit (IMU) as a Navigation System for the Visually Impaired." In Lecture Notes in Computer Science, 29–32. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31534-3_5.

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Castañeda, J. J., A. F. Ruiz-Olaya, C. N. Lara-Herrera, and F. Z. Roldán. "Knee Joint Angle Monitoring System Based on Inertial Measurement Units for Human Gait Analysis." In VII Latin American Congress on Biomedical Engineering CLAIB 2016, Bucaramanga, Santander, Colombia, October 26th -28th, 2016, 690–93. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4086-3_173.

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Li, Guangyi, Tao Liu, and Yoshio Inoue. "Measurement of Human Gait Using a Wearable System with Force Sensors and Inertial Sensors." In Wearable Electronics Sensors, 283–98. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18191-2_12.

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Rai, Nirmal, Saumen Gupta, and Rinkila Bhutia. "Design of an Electronic System for Analysis of Body Postural Sway Using Inertial Measurement Unit." In Advances in Communication, Devices and Networking, 507–11. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-4932-8_58.

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Pędrys, Bartłomiej, Henryk Josiński, and Konrad Wojciechowski. "Ubiquitous Rehabilitation Combining Inertial Measurement System with Smartphone and Supported by Visual and Voice Feedback." In Intelligent Information and Database Systems: Recent Developments, 17–29. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-14132-5_2.

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Conference papers on the topic "Xsens inertial measurement system"

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Guidolin, Mattia, Emanuele Menegatti, Monica Reggiani, and Luca Tagliapietra. "A ROS Driver for Xsens Wireless Inertial Measurement Unit Systems." In 2021 22nd IEEE International Conference on Industrial Technology (ICIT). IEEE, 2021. http://dx.doi.org/10.1109/icit46573.2021.9453640.

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Carey, Kevin, Benjamin Abruzzo, David P. Harvie, and Christopher Korpela. "Performance Comparison of Inertial Measurement Units Fused With Odometry in Extended Kalman Filter for Dead-Reckoning Navigation." In ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/detc2019-98184.

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Abstract This paper aims to aid robot and autonomous vehicle designers by providing a comparison between four different inertial measurement units (IMUs) which could be used to aid in vehicle navigation in a GPS-denied or inertial-only scenario. A differential-drive ground vehicle was designed to carry the multiple different IMUs, mounted coaxially, to enable direct comparison of performance in a planar environment. The experiments focused on the growth of pose error of the ground vehicle originating from the odometry senors and the IMUs. An extended Kalman Filter was developed to fuse the odometry and inertial measurements for this comparison. The four specific IMUs evaluated were: CNS 5000, Xsens 300, Microstrain GX5-35, and Phidgets 1044 and the ground truth for experiments was provided by an Optitrack motion capture system (MCS). Finally, metrics for choosing IMUs, merging cost and performance considerations, are proposed and discussed. While the CNS 5000 has the best objective error specifications, based on these metrics the Xsens 300 exhibits the best absolute performance while the Phidgets 1044 provides the best performance-per-dollar.
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Loose, Harald, and Katja Orlowski. "Gait patterns in standard scenarios: Using Xsens MTw inertial measurement units." In 2015 16th International Conference on Research and Education in Mechatronics (REM). IEEE, 2015. http://dx.doi.org/10.1109/rem.2015.7380410.

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Walter, Richard E., Harrison Danny, and Jed Donaldson. "Stabilized Inertial Measurement System (SIMS)." In AeroSense 2002, edited by William E. Thompson and Paul H. Merritt. SPIE, 2002. http://dx.doi.org/10.1117/12.472362.

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Mao, Gang, and Qitai Gu. "Microminiature inertial measurement system design." In International Conference on Sensors and Control Techniques (ICSC2000), edited by Desheng Jiang and Anbo Wang. SPIE, 2000. http://dx.doi.org/10.1117/12.385532.

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Parvis, Marco, Simone Corbellini, Luca Lombardo, Leonardo Iannnucci, Sabrina Grassini, and Emma Angelini. "Inertial measurement system for swimming rehabilitation." In 2017 IEEE International Symposium on Medical Measurements and Applications (MeMeA). IEEE, 2017. http://dx.doi.org/10.1109/memea.2017.7985903.

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Korotkin, Dmitry, and Artem Kuznetcov. "Inertial Measurement System for Human Gait Analysis." In 8th International Conference on Body Area Networks. ACM, 2013. http://dx.doi.org/10.4108/icst.bodynets.2013.253714.

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Xiaorong, Shen, Wang Yueming, and Dong Rongsheng. "Implementation of micro-inertial measurement/GPS combinatorial attitude measurement system." In 2013 9th Asian Control Conference (ASCC). IEEE, 2013. http://dx.doi.org/10.1109/ascc.2013.6606334.

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Gao, Lu, Xiang Xu, Suiqiong Li, Dacheng Xu, and Yingfei Yao. "Micro Acceleration Measurement System Based On Highly-Sensitive Tunnel Magneto-Resistance Sensor." In 2019 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL). IEEE, 2019. http://dx.doi.org/10.1109/isiss.2019.8739736.

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Ananth, S. Vijay, Ayush Patawari, K. Sundari, Raghavi, Likitha, and S. Arivalagan. "Biomechanical Sports Analysis Using Inertial Measurement Unit." In 2019 IEEE International Conference on System, Computation, Automation and Networking (ICSCAN). IEEE, 2019. http://dx.doi.org/10.1109/icscan.2019.8878691.

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Reports on the topic "Xsens inertial measurement system"

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Ward, Andrew, Anthony Falls, and Craig Rutland. Development of smartphone-based semi-prepared runway operations (SPRO) models and methods. Engineer Research and Development Center (U.S.), December 2021. http://dx.doi.org/10.21079/11681/42500.

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The U.S. Army Engineer Research and Development Center (ERDC) has developed a method for predicting surface friction response by use of ground vehicles equipped with deceleration-based measurement devices. Specifically, the ERDC has developed models and measurement methods between the Findlay Irvine Mk2 GripTester and a variety of deceleration measurement devices: Bowmonk AFM2 Mk3, Xsens MTi-G-710, two Android smartphones, and two iOS smartphones. These models show positive correlation between ground vehicle deceleration and fixed-slip surface continuous surface friction measurement. This effort extends prior work conducted by the U.S. Army ERDC in developing highly correlative models between the Findlay Irvine Mk2 GripTester and actual C-17 braking deceleration, measured via the runway condition rating (RCR) system. The models and measurement methods detailed here are of considerable use to semi-prepared airfield managers around the world needing to measure safe landing conditions following inclement weather. This work provides the tools necessary for airfield managers to quantify safe landing conditions for C-17 aircraft by using easily obtainable equipment and simple test standards.
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Lee, W. S., Victor Alchanatis, and Asher Levi. Innovative yield mapping system using hyperspectral and thermal imaging for precision tree crop management. United States Department of Agriculture, January 2014. http://dx.doi.org/10.32747/2014.7598158.bard.

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Original objectives and revisions – The original overall objective was to develop, test and validate a prototype yield mapping system for unit area to increase yield and profit for tree crops. Specific objectives were: (1) to develop a yield mapping system for a static situation, using hyperspectral and thermal imaging independently, (2) to integrate hyperspectral and thermal imaging for improved yield estimation by combining thermal images with hyperspectral images to improve fruit detection, and (3) to expand the system to a mobile platform for a stop-measure- and-go situation. There were no major revisions in the overall objective, however, several revisions were made on the specific objectives. The revised specific objectives were: (1) to develop a yield mapping system for a static situation, using color and thermal imaging independently, (2) to integrate color and thermal imaging for improved yield estimation by combining thermal images with color images to improve fruit detection, and (3) to expand the system to an autonomous mobile platform for a continuous-measure situation. Background, major conclusions, solutions and achievements -- Yield mapping is considered as an initial step for applying precision agriculture technologies. Although many yield mapping systems have been developed for agronomic crops, it remains a difficult task for mapping yield of tree crops. In this project, an autonomous immature fruit yield mapping system was developed. The system could detect and count the number of fruit at early growth stages of citrus fruit so that farmers could apply site-specific management based on the maps. There were two sub-systems, a navigation system and an imaging system. Robot Operating System (ROS) was the backbone for developing the navigation system using an unmanned ground vehicle (UGV). An inertial measurement unit (IMU), wheel encoders and a GPS were integrated using an extended Kalman filter to provide reliable and accurate localization information. A LiDAR was added to support simultaneous localization and mapping (SLAM) algorithms. The color camera on a Microsoft Kinect was used to detect citrus trees and a new machine vision algorithm was developed to enable autonomous navigations in the citrus grove. A multimodal imaging system, which consisted of two color cameras and a thermal camera, was carried by the vehicle for video acquisitions. A novel image registration method was developed for combining color and thermal images and matching fruit in both images which achieved pixel-level accuracy. A new Color- Thermal Combined Probability (CTCP) algorithm was created to effectively fuse information from the color and thermal images to classify potential image regions into fruit and non-fruit classes. Algorithms were also developed to integrate image registration, information fusion and fruit classification and detection into a single step for real-time processing. The imaging system achieved a precision rate of 95.5% and a recall rate of 90.4% on immature green citrus fruit detection which was a great improvement compared to previous studies. Implications – The development of the immature green fruit yield mapping system will help farmers make early decisions for planning operations and marketing so high yield and profit can be achieved.
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