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1

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 (2020): 23. http://dx.doi.org/10.3390/proceedings2020049023.

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Анотація:
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 u
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2

Meletani, Sara, Sofia Scataglini, Marco Mandolini, Lorenzo Scalise, and Steven Truijen. "Experimental Comparison between 4D Stereophotogrammetry and Inertial Measurement Unit Systems for Gait Spatiotemporal Parameters and Joint Kinematics." Sensors 24, no. 14 (2024): 4669. http://dx.doi.org/10.3390/s24144669.

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(1) Background: Traditional gait assessment methods have limitations like time-consuming procedures, the requirement of skilled personnel, soft tissue artifacts, and high costs. Various 3D time scanning techniques are emerging to overcome these issues. This study compares a 3D temporal scanning system (Move4D) with an inertial motion capture system (Xsens) to evaluate their reliability and accuracy in assessing gait spatiotemporal parameters and joint kinematics. (2) Methods: This study included 13 healthy people and one hemiplegic patient, and it examined stance time, swing time, cycle time,
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3

Barreto, Joana, César Peixoto, Sílvia Cabral, et al. "Concurrent Validation of 3D Joint Angles during Gymnastics Techniques Using Inertial Measurement Units." Electronics 10, no. 11 (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 gymn
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4

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 obtai
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5

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 (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 repet
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6

Santos, Joana, Ana Betty Abreu, Pedro Fonseca, et al. "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 (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
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7

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 esti
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8

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 (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 surr
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9

Debertin, Daniel, Anna Wargel, and Maurice Mohr. "Reliability of Xsens IMU-Based Lower Extremity Joint Angles during In-Field Running." Sensors 24, no. 3 (2024): 871. http://dx.doi.org/10.3390/s24030871.

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The Xsens Link motion capture suit has become a popular tool in investigating 3D running kinematics based on wearable inertial measurement units outside of the laboratory. In this study, we investigated the reliability of Xsens-based lower extremity joint angles during unconstrained running on stable (asphalt) and unstable (woodchip) surfaces within and between five different testing days in a group of 17 recreational runners (8 female, 9 male). Specifically, we determined the within-day and between-day intraclass correlation coefficients (ICCs) and minimal detectable changes (MDCs) with respe
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10

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 (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) sy
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11

Loose, Harald, and Katja Orlowski. "Model Based Determination of Gait Parameters Using IMU Sensor Data." Solid State Phenomena 251 (July 2016): 61–67. http://dx.doi.org/10.4028/www.scientific.net/ssp.251.61.

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The paper deals with the determination of gait parameters using inertial measurement units (IMU). An IMU sensor incorporates three microelectromechanical sensors - triple-axis gyroscope, accelerometer and magnetometer. A standard experimental setup for the observation of the locomotion system using seven Xsens MTw sensors was developed. They are applied to the lower limbs and the pelvis of the subject. The synchronization of data from all sensor components (gyroscope, accelerometer and magnetometer) as well as the onboard estimation of the orientation is provided by the Xsens and Adwinda hard-
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12

Chung, W. M., S. Yeung, W. W. Chan, and R. Lee. "Validity of VICON Motion Analysis System for Upper Limb Kinematic MeasuremeNT – A Comparison Study with Inertial Tracking Xsens System." Hong Kong Physiotherapy Journal 29, no. 2 (2011): 97. http://dx.doi.org/10.1016/j.hkpj.2011.08.015.

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13

Schall, Mark, Rong Huangfu, Sean Gallagher, Jerry Davis, Richard Sesek, and Claudia Escobar. "Application of Inertial Measurement Units to Assess Vehicle Ingress and Egress Characteristics." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 60, no. 1 (2016): 855. http://dx.doi.org/10.1177/1541931213601195.

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The increasing number of elderly and overweight drivers in the United States has necessitated that vehicle manufacturers develop automobiles that accommodate these changing demographics. While digital human models have been successfully used to simulate human vehicle interaction (Chaffin, 2005; Ozsoy et al., 2015; Yang et al., 2007), the variability in ingress and egress procedures among drivers with different physical attributes poses a unique challenge to developing accurate models. The objective of this study was to apply inertial measurement units (IMUs) to compare ingress and egress chara
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14

Brito, André V., Pedro Fonseca, Mário J. Costa, et al. "The Influence of Kinematics on Tennis Serve Speed: An In-Depth Analysis Using Xsens MVN Biomech Link Technology." Bioengineering 11, no. 10 (2024): 971. http://dx.doi.org/10.3390/bioengineering11100971.

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An inertial measurement system, using a combination of accelerometers, gyroscopes and magnetometers, is of great interest to capture tennis movements. We have assessed the key biomechanical moments of the serve phases and events, as well as the kinematic metrics during the serve, to analyze their influence on serve speed. Eighteen male competitive tennis players, equipped with the inertial measurement units, performed a prolonged serve game consisting of 12 simulated points. Participants were divided into groups A and B in accordance with their positioning above or below the sample average ser
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15

Wang, Qiuying, Kaiyue Liu, Zhiguo Sun, Muchun Cai, and Ming Cheng. "Research on the Heading Calibration for Foot-Mounted Inertial Pedestrian-Positioning System Based on Accelerometer Attitude." Electronics 8, no. 12 (2019): 1405. http://dx.doi.org/10.3390/electronics8121405.

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Foot-mounted inertial pedestrian positioning (FIPP) plays an important role for facilitating pedestrian activities. It is suitable for indoor environment applications where global navigation satellite systems are unavailable such as during firefighting and military actions. However, the positioning error of FIPP can increase rapidly due to the measurement noise of the sensors. Zero Velocity Update (ZUPT) is an error correction method proposed to solve this accumulative error. However, the heading misalignment angle, which results in a continuous increase in the positioning error, cannot be est
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16

Fraeulin, Laura, Fabian Holzgreve, Mark Brinkbäumer, et al. "Intra- and inter-rater reliability of joint range of motion tests using tape measure, digital inclinometer and inertial motion capturing." PLOS ONE 15, no. 12 (2020): e0243646. http://dx.doi.org/10.1371/journal.pone.0243646.

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Background In clinical practice range of motion (RoM) is usually assessed with low-cost devices such as a tape measure (TM) or a digital inclinometer (DI). However, the intra- and inter-rater reliability of typical RoM tests differ, which impairs the evaluation of therapy progress. More objective and reliable kinematic data can be obtained with the inertial motion capture system (IMC) by Xsens. The aim of this study was to obtain the intra- and inter-rater reliability of the TM, DI and IMC methods in five RoM tests: modified Thomas test (DI), shoulder test modified after Janda (DI), retroflexi
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17

Scataglini, Sofia, Stijn Verwulgen, Eddy Roosens, Robby Haelterman, and Damien Van Tiggelen. "Measuring Spatiotemporal Parameters on Treadmill Walking Using Wearable Inertial System." Sensors 21, no. 13 (2021): 4441. http://dx.doi.org/10.3390/s21134441.

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This study aims to measure and compare spatiotemporal gait parameters in nineteen subjects using a full wearable inertial mocap system Xsens (MVN Awinda, Netherlands) and a photoelectronic system one-meter OptoGaitTM (Microgait, Italy) on a treadmill imposing a walking speed of 5 km/h. A total of eleven steps were considered for each subject constituting a dataset of 209 samples from which spatiotemporal parameters (SPT) were calculated. The step length measurement was determined using two methods. The first one considers the calculation of step length based on the inverted pendulum model, whi
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18

Blair, Stephanie, Sam Robertson, Grant Duthie, and Kevin Ball. "Biomechanics of accurate and inaccurate goal-kicking in Australian football: Group-based analysis." PLOS ONE 15, no. 11 (2020): e0241969. http://dx.doi.org/10.1371/journal.pone.0241969.

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Goal-kicking is an important skill in Australian Football (AF). This study examined whether kinematic differences exist between accurate and inaccurate goal-kicks and determined the relationships between technical factors and accuracy. Eighteen elite to sub-elite AF players performed 15 x 30 m goal-kicks on an AF training ground, with three-dimensional kinematics collected using the Xsens inertial measurement system (Xsens Technologies B.V., Enschede, the Netherlands). A general linear mixed modelling approach and regression-based statistics were employed to quantify differences between accura
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19

Pandey, Gaurav, James R. McBride, and Ryan M. Eustice. "Ford Campus vision and lidar data set." International Journal of Robotics Research 30, no. 13 (2011): 1543–52. http://dx.doi.org/10.1177/0278364911400640.

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In this paper we describe a data set collected by an autonomous ground vehicle testbed, based upon a modified Ford F-250 pickup truck. The vehicle is outfitted with a professional (Applanix POS-LV) and consumer (Xsens MTi-G) inertial measurement unit, a Velodyne three-dimensional lidar scanner, two push-broom forward-looking Riegl lidars, and a Point Grey Ladybug3 omnidirectional camera system. Here we present the time-registered data from these sensors mounted on the vehicle, collected while driving the vehicle around the Ford Research Campus and downtown Dearborn, MI, during November–Decembe
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20

Yao, Xuewu, Haojie Li, and Chen Xiu. "Biomechanical Analysis of Injury Risk in Two High-Altitude Landing Positions Using Xsens Inertial Units and EMG Sensors." Sensors 24, no. 21 (2024): 6822. http://dx.doi.org/10.3390/s24216822.

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High-altitude landing maneuvers can pose a significant injury risk, particularly when performed with different landing techniques. This study aims to compare the biomechanical parameters and injury risks associated with two landing positions—staggered foot landing and simultaneous bilateral landing—using Xsens inertial units and electromyography (EMG) sensors. A total of 26 university students (13 males, 13 females) participated in this study. Kinematic data were collected using inertial measurement units (IMUs), muscle activity was recorded with EMG, and ground reaction forces were captured u
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21

Ghaffari, A., O. Rahbek, R. E. K. Lauritsen, A. Kappel, J. Rasmussen, and S. Kold. "CONCURRENT VALIDITY OF LINEAR ACCELERATIONS MEASURED BY A LOW SAMPLING FREQUENCY ACCELEROMETER DURING OVERGROUND WALKING IN ELDERLY PATIENTS WITH KNEE OSTEOARTHRITIS." Orthopaedic Proceedings 105-B, SUPP_8 (2023): 123. http://dx.doi.org/10.1302/1358-992x.2023.8.123.

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The tendency towards using inertial sensors for remote monitoring of the patients at home is increasing. One of the most important characteristics of the sensors is sampling rate. Higher sampling rate results in higher resolution of the sampled signal and lower amount of noise. However, higher sampling frequency comes with a cost. The main aim of our study was to determine the validity of measurements performed by low sampling frequency (12.5 Hz) accelerometers (SENS) in patients with knee osteoarthritis compared to standard sensor-based motion capture system (Xsens). We also determined the te
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22

Becker, Eliza, Siavash Khaksar, Harry Booker, et al. "Using Inertial Measurement Units and Machine Learning to Classify Body Positions of Adults in a Hospital Bed." Sensors 25, no. 2 (2025): 499. https://doi.org/10.3390/s25020499.

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In hospitals, timely interventions can prevent avoidable clinical deterioration. Early recognition of deterioration is vital to stopping further decline. Measuring the way patients position themselves in bed and change their positions may signal when further assessment is necessary. While inertial measurement units (IMUs) have been used in health research, their use inside hospitals has been limited. This study explores the use of IMUs with machine learning to continuously capture, classify and visualise patient positions in hospital beds. The participants attended a data collection session in
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23

Wang, Sophie L., Gene Civillico, Wesley Niswander, and Kimberly L. Kontson. "Comparison of Motion Analysis Systems in Tracking Upper Body Movement of Myoelectric Bypass Prosthesis Users." Sensors 22, no. 8 (2022): 2953. http://dx.doi.org/10.3390/s22082953.

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Current literature lacks a comparative analysis of different motion capture systems for tracking upper limb (UL) movement as individuals perform standard tasks. To better understand the performance of various motion capture systems in quantifying UL movement in the prosthesis user population, this study compares joint angles derived from three systems that vary in cost and motion capture mechanisms: a marker-based system (Vicon), an inertial measurement unit system (Xsens), and a markerless system (Kinect). Ten healthy participants (5F/5M; 29.6 ± 7.1 years) were trained with a TouchBionic i-Li
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24

Cottam, Daniel S., Amity C. Campbell, Mr Paul C. Davey, Peter Kent, Bruce C. Elliott, and Jacqueline A. Alderson. "Measurement of uni-planar and sport specific trunk motion using magneto-inertial measurement units: The concurrent validity of Noraxon and Xsens systems relative to a retro-reflective system." Gait & Posture 92 (February 2022): 129–34. http://dx.doi.org/10.1016/j.gaitpost.2021.11.012.

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25

Gandy, E. A., A. Bondi, T. M. C. Pigott, G. Smith, and S. McDonald. "Investigation of the use of inertial sensing equipment for the measurement of hip flexion and pelvic rotation in horse riders." Comparative Exercise Physiology 14, no. 2 (2018): 99–110. http://dx.doi.org/10.3920/cep170023.

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Equestrian sports report three to five times higher incidence rates for lower back pain than that of the general population, with hip flexion angles of 50-60° suggested as a causal factor. Inertial motion capture technology enables dynamic measurement of rider kinematics but data extraction is time-consuming. The aim of this study was to develop a software tool to automate the process of extracting biomechanical data from the Xsens™ MVN (MoCap) system to investigate postural changes in riders, comparing static position at halt with dynamic position during the sit phase of rising trot. The soft
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26

Wang, Qiuying, Juan Yin, Aboelmagd Noureldin, and Umar Iqbal. "Research on an Improved Method for Foot-Mounted Inertial/Magnetometer Pedestrian-Positioning Based on the Adaptive Gradient Descent Algorithm." Sensors 18, no. 12 (2018): 4105. http://dx.doi.org/10.3390/s18124105.

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Foot-mounted Inertial Pedestrian-Positioning Systems (FIPPSs) based on Micro Inertial Measurement Units (MIMUs), have recently attracted widespread attention with the rapid development of MIMUs. The can be used in challenging environments such as firefighting and the military, even without augmenting with Global Navigation Satellite System (GNSS). Zero Velocity Update (ZUPT) provides a solution for the accumulated positioning errors produced by the low precision and high noise of the MIMU, however, there are some problems using ZUPT for FIPPS, include fast-initial alignment and unobserved head
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27

Islam, Riasat, Mohamed Bennasar, Kevin Nicholas, et al. "A Nonproprietary Movement Analysis System (MoJoXlab) Based on Wearable Inertial Measurement Units Applicable to Healthy Participants and Those With Anterior Cruciate Ligament Reconstruction Across a Range of Complex Tasks: Validation Study." JMIR mHealth and uHealth 8, no. 6 (2020): e17872. http://dx.doi.org/10.2196/17872.

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Background Movement analysis in a clinical setting is frequently restricted to observational methods to inform clinical decision making, which has limited accuracy. Fixed-site, optical, expensive movement analysis laboratories provide gold standard kinematic measurements; however, they are rarely accessed for routine clinical use. Wearable inertial measurement units (IMUs) have been demonstrated as comparable, inexpensive, and portable movement analysis toolkits. MoJoXlab has therefore been developed to work with generic wearable IMUs. However, before using MoJoXlab in clinical practice, there
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28

Mavor, Matthew P., Gwyneth B. Ross, Allison L. Clouthier, Thomas Karakolis, and Ryan B. Graham. "Validation of an IMU Suit for Military-Based Tasks." Sensors 20, no. 15 (2020): 4280. http://dx.doi.org/10.3390/s20154280.

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Investigating the effects of load carriage on military soldiers using optical motion capture is challenging. However, inertial measurement units (IMUs) provide a promising alternative. Our purpose was to compare optical motion capture with an Xsens IMU system in terms of movement reconstruction using principal component analysis (PCA) using correlation coefficients and joint kinematics using root mean squared error (RMSE). Eighteen civilians performed military-type movements while their motion was recorded using both optical and IMU-based systems. Tasks included walking, running, and transitio
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29

Razak, Hamid Rahmatullah Bin Abd, Nicolas Chua, and Kah Weng Lai. "Quantification of 3D Kinematic Measurements for Knee Flexion and Tibial Rotation Using an IMU-Based Sensor and Ultrasound Imaging System: A Cadaveric Study." Sensors 25, no. 13 (2025): 4211. https://doi.org/10.3390/s25134211.

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Knee rotational stability is crucial for anterior cruciate ligament (ACL) procedures, yet, current clinical assessments are subjective and lack precision. This study evaluates the accuracy and repeatability of the GATOR system, developed by PreciX Pte Ltd. and integrating ultrasound with inertial measurement units (IMUs), against a reference IMU (Xsens DOTS) for measuring knee flexion and rotation in six cadaveric specimens secured in an Oxford Knee Jig. Two experiments were conducted: (A) knee flexion from 0° to 120°, and (B) internal/external rotation at 0°, 30°, 60°, 90°, and 120° flexion.
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30

Valencia-Jimenez, Nicolas, Arnaldo Leal-Junior, Leticia Avellar, et al. "A Comparative Study of Markerless Systems Based on Color-Depth Cameras, Polymer Optical Fiber Curvature Sensors, and Inertial Measurement Units: Towards Increasing the Accuracy in Joint Angle Estimation." Electronics 8, no. 2 (2019): 173. http://dx.doi.org/10.3390/electronics8020173.

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This paper presents a comparison between a multiple red green blue-depth (RGB-D) vision system, an intensity variation-based polymer optical fiber (POF) sensor, and inertial measurement units (IMUs) for human joint angle estimation and movement analysis. This systematic comparison aims to study the trade-off between the non-invasive feature of a vision system and its accuracy with wearable technologies for joint angle measurements. The multiple RGB-D vision system is composed of two camera-based sensors, in which a sensor fusion algorithm is employed to mitigate occlusion and out-range issues
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31

Slawinski, Jean, Julien Louis, Julien Poli, Eve Tiollier, Charles Khazoom, and Daniel Dinu. "The Effects of Repeated Sprints on the Kinematics of 3-Point Shooting in Basketball." Journal of Human Kinetics 62, no. 1 (2018): 5–14. http://dx.doi.org/10.1515/hukin-2017-0156.

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AbstractFatigue modifies the kinematics of various sports-related movements. Basketball induces fatigue, however, the effects of fatigue on the kinematics of shooting have never been studied. This study analysed the effects of fatigue induced by repeated sprints on the kinematics of 3-point shooting (3PS) in young, elite basketball players (U18 level). 3D joint angles were calculated at the maximum and minimum heights of the centre of mass during 3PS, using inertial measurement units (Biomech system, Xsens Technologies BV, Enschede, The Netherlands). Height, velocity and the angle of the ball
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32

Röhrich, Martin, Eva Abramuszkinová Pavlíková, and Jakub Šácha. "Biomechanical Analysis of Gait in Forestry Environments: Implications for Movement Stability and Safety." Forests 16, no. 6 (2025): 996. https://doi.org/10.3390/f16060996.

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Анотація:
Forestry is recognized as one of the most physically demanding professions. Walking in presents unique biomechanical challenges due to complex, irregular terrain, with several possible risks. This study investigated how human gait adapts across solid surfaces, forest trails, and natural forest environments. Fifteen healthy adult participants (average age 38.3; ten males and five females) completed 150 walking trials, with full-body motion captured via a 17 Inertial Measurement Unit (IMU) sensors (Xsens MVN Awinda system). The analysis focused on spatial and temporal gait parameters, including
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33

Cerfoglio, Serena, Nicola Francesco Lopomo, Paolo Capodaglio, et al. "Assessment of an IMU-Based Experimental Set-Up for Upper Limb Motion in Obese Subjects." Sensors 23, no. 22 (2023): 9264. http://dx.doi.org/10.3390/s23229264.

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In recent years, wearable systems based on inertial sensors opened new perspectives for functional motor assessment with respect to the gold standard motion capture systems. The aim of this study was to validate an experimental set-up based on 17 body-worn inertial sensors (Awinda, Xsens, The Netherlands), addressing specific body segments with respect to the state-of-the art system (VICON, Oxford Metrics Ltd., Oxford, UK) to assess upper limb kinematics in obese, with respect to healthy subjects. Twenty-three obese and thirty healthy weight individuals were simultaneously acquainted with the
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34

DELIU, Robert. "EVALUATING THE LATERALITY OF MARTIAL ARTS PRACTITIONERS THROUGH THE KINEMATIC ANALYSIS OF STRIKING TECHNIQUES." University Arena 7, no. 4/2024 (2024): 48–55. http://dx.doi.org/10.62229/uavii_4_24-7.

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The purpose of this study was to objectively measure and highlight laterality differences of high-performance martial arts athletes with hitting techniques and comparing the results registered by each subject. The hypothesis of this research is that through kinematic analysis on both fighting stances (dominant and non-dominant) we can highlight the differences in laterality for each subject. We used a system of inertial measurement units based on 17 motion tracking sensors composed of 3D gyroscopes, 3D accelerometers and 3D magnetometers namely the MVN Xsens Awinda system. We acquisitioned dat
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35

Senvaitis, Karolis, Aušra Adomavičienė, Alina Tomaševič, Radvilė Kernagytė, Ada Petrauskaitė, and Kristina Daunoravičienė. "Ergonomic Assessment of Key Biomechanical Factors in Patient Lifting: Results from a Cross-Sectional Study." Applied Sciences 14, no. 17 (2024): 8076. http://dx.doi.org/10.3390/app14178076.

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This study includes an ergonomic evaluation of patient lifting motion performed by healthcare specialists. This analysis focuses on the neck, shoulder, and elbow, as these are statistically significant areas with insufficient research data. Data collection was conducted using the Movella Xsens system as a standard 17 IMU (inertia measurement unit) marker set. A total of 44 test subjects participated, resulting in 396 measurements. A mathematical model was presented, including the main expressions and a three-dimensional moment arm of the shoulder calculation determining both the moment and acc
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36

Elmezayen, Abdelsatar, and Ahmed El-Rabbany. "Ultra-Low-Cost Tightly Coupled Triple-Constellation GNSS PPP/MEMS-Based INS Integration for Land Vehicular Applications." Geomatics 1, no. 2 (2021): 258–87. http://dx.doi.org/10.3390/geomatics1020015.

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The rapid rise of ultra-low-cost dual-frequency GNSS chipsets and micro-electronic-mechanical-system (MEMS) inertial sensors makes it possible to develop low-cost navigation systems, which meet the requirements for many applications, including self-driving cars. This study proposes the use of a dual-frequency u-blox F9P GNSS receiver with xsens MTi670 industrial-grade MEMS IMU to develop an ultra-low-cost tightly coupled (TC) triple-constellation GNSS PPP/INS integrated system for precise land vehicular applications. The performance of the proposed system is assessed through comparison with th
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37

Barclay, Skyler A., Lanna N. Klausing, Tessa M. Hill, Allison L. Kinney, Timothy Reissman, and Megan E. Reissman. "Characterization of Upper Extremity Kinematics Using Virtual Reality Movement Tasks and Wearable IMU Technology." Sensors 24, no. 1 (2023): 233. http://dx.doi.org/10.3390/s24010233.

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Task-specific training has been shown to be an effective neuromotor rehabilitation intervention, however, this repetitive approach is not always very engaging. Virtual reality (VR) systems are becoming increasingly popular in therapy due to their ability to encourage movement through customizable and immersive environments. Additionally, VR can allow for a standardization of tasks that is often lacking in upper extremity research. Here, 16 healthy participants performed upper extremity movement tasks synced to music, using a commercially available VR game known as Beat Saber. VR tasks were cus
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38

De Baets, Liesbet, Stefanie Vanbrabant, Carl Dierickx, Rob van der Straaten, and Annick Timmermans. "Assessment of Scapulothoracic, Glenohumeral, and Elbow Motion in Adhesive Capsulitis by Means of Inertial Sensor Technology: A Within-Session, Intra-Operator and Inter-Operator Reliability and Agreement Study." Sensors 20, no. 3 (2020): 876. http://dx.doi.org/10.3390/s20030876.

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Adhesive capsulitis (AC) is a glenohumeral (GH) joint condition, characterized by decreased GH joint range of motion (ROM) and compensatory ROM in the elbow and scapulothoracic (ST) joint. To evaluate AC progression in clinical settings, objective movement analysis by available systems would be valuable. This study aimed to assess within-session and intra- and inter-operator reliability/agreement of such a motion capture system. The MVN-Awinda® system from Xsens Technologies (Enschede, The Netherlands) was used to assess ST, GH, and elbow ROM during four tasks (GH external rotation, combing ha
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39

Fraeulin, Laura, Christian Maurer-Grubinger, Fabian Holzgreve, David A. Groneberg, and Daniela Ohlendorf. "Comparison of Joint Kinematics in Transition Running and Isolated Running in Elite Triathletes in Overground Conditions." Sensors 21, no. 14 (2021): 4869. http://dx.doi.org/10.3390/s21144869.

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Triathletes often experience incoordination at the start of a transition run (TR); this is possibly reflected by altered joint kinematics. In this study, the first 20 steps of a run after a warm-up run (WR) and TR (following a 90 min cycling session) of 16 elite, male, long-distance triathletes (31.3 ± 5.4 years old) were compared. Measurements were executed on the competition course of the Ironman Frankfurt in Germany. Pacing and slipstream were provided by a cyclist in front of the runner. Kinematic data of the trunk and leg joints, step length, and step rate were obtained using the MVN Link
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40

Nowara, Ramona, Fabian Holzgreve, Rejane Golbach, et al. "Testing the Level of Agreement between Two Methodological Approaches of the Rapid Upper Limb Assessment (RULA) for Occupational Health Practice—An Exemplary Application in the Field of Dentistry." Bioengineering 10, no. 4 (2023): 477. http://dx.doi.org/10.3390/bioengineering10040477.

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Background: The Rapid Upper Limb Assessment (RULA) is used for the risk assessment of workplace-related activities. Thus far, the paper and pen method (RULA-PP) has been predominantly used for this purpose. In the present study, this method was compared with an RULA evaluation based on kinematic data using inertial measurement units (RULA-IMU). The aim of this study was, on the one hand, to work out the differences between these two measurement methods and, on the other, to make recommendations for the future use of the respective method on the basis of the available findings. Methods: For thi
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41

Ensink, Carmen, Katrijn Smulders, Jolien Warnar, and Noel Keijsers. "Validation of an algorithm to assess regular and irregular gait using inertial sensors in healthy and stroke individuals." PeerJ 11 (December 15, 2023): e16641. http://dx.doi.org/10.7717/peerj.16641.

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Background Studies using inertial measurement units (IMUs) for gait assessment have shown promising results regarding accuracy of gait event detection and spatiotemporal parameters. However, performance of such algorithms is challenged in irregular walking patterns, such as in individuals with gait deficits. Based on the literature, we developed an algorithm to detect initial contact (IC) and terminal contact (TC) and calculate spatiotemporal gait parameters. We evaluated the validity of this algorithm for regular and irregular gait patterns against a 3D optical motion capture system (OMCS). M
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42

Goelles, Thomas, Tobias Hammer, Stefan Muckenhuber, et al. "MOLISENS: MObile LIdar SENsor System to exploit the potential of small industrial lidar devices for geoscientific applications." Geoscientific Instrumentation, Methods and Data Systems 11, no. 2 (2022): 247–61. http://dx.doi.org/10.5194/gi-11-247-2022.

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Abstract. We propose a newly developed modular MObile LIdar SENsor System (MOLISENS) to enable new applications for small industrial lidar (light detection and ranging) sensors. The stand-alone modular setup supports both monitoring of dynamic processes and mobile mapping applications based on SLAM (Simultaneous Localization and Mapping) algorithms. The main objective of MOLISENS is to exploit newly emerging perception sensor technologies developed for the automotive industry for geoscientific applications. However, MOLISENS can also be used for other application areas, such as 3D mapping of b
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43

Guzik-Kopyto, Agata, Katarzyna Nowakowska-Lipiec, Mikołaj Krysiak, et al. "Selection of Kinematic and Temporal Input Parameters to Define a Novel Upper Body Index Indicator for the Evaluation of Upper Limb Pathology." Applied Sciences 12, no. 22 (2022): 11634. http://dx.doi.org/10.3390/app122211634.

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Purpose: This work aimed to develop a novel indicator of upper limb manipulative movements. A principal component analysis (PCA) algorithm was applied to kinematic measurements of movements of the upper limbs performed during an everyday activity. Methods: Kinematics of the upper limb while drinking from a mug were investigated using the commercially available Xsens MVN BIOMECH inertial sensor-based motion capture system. The study group consisted of 20 male patients who had previously suffered an ischaemic stroke, whilst the reference group consisted of 16 males with no disorders of their mot
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44

Buckley, Nicholas, Paul Davey, Lynn Jensen, et al. "A Comparison of Inertial Measurement Units and Overnight Videography to Assess Sleep Biomechanics." Bioengineering 10, no. 4 (2023): 408. http://dx.doi.org/10.3390/bioengineering10040408.

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Purpose: The assessment of sleep biomechanics (comprising movement and position during sleep) is of interest in a wide variety of clinical and research settings. However, there is no standard method by which sleep biomechanics are measured. This study aimed to (1) compare the intra- and inter-rater reliability of the current clinical standard, manually coded overnight videography, and (2) compare sleep position recorded using overnight videography to sleep position recorded using the XSENS DOT wearable sensor platform. Methods: Ten healthy adult volunteers slept for one night with XSENS DOT un
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45

Buckley, Nicholas, Paul Davey, Lynn Jensen, et al. "Can Wearable Inertial Measurement Units Be Used to Measure Sleep Biomechanics? Establishing Initial Feasibility and Validity." Biomimetics 8, no. 1 (2022): 2. http://dx.doi.org/10.3390/biomimetics8010002.

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Анотація:
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 suc
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46

Bosio, Corentin, Christophe Sauret, Patricia Thoreux, and Delphine Chadefaux. "Securing Biomechanical Data Quality: A Comprehensive Evaluation of On-Board Accelerometers for Shock and Vibration Analysis." Sensors 25, no. 15 (2025): 4569. https://doi.org/10.3390/s25154569.

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Анотація:
(1) On-board accelerometers are increasingly employed in real-world biomechanics to monitor vibrations and shocks. This study assesses the accuracy, repeatability, and variability of three commercially available inertial measurement units (IMUs)—Xsens, Blue Trident, and Shimmer 3—in measuring vibration and shock parameters relevant to human motion analysis. (2) A controlled laboratory setup utilizing an electrodynamic shaker was employed to generate sine waves at varying frequencies and amplitudes, as well as shock profiles with defined peak accelerations and durations. (3) The results showed
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47

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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Анотація:
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 init
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48

Auepanwiriyakul, Chaiyawan, Sigourney Waibel, Joanna Songa, Paul Bentley, and A. Aldo Faisal. "Accuracy and Acceptability of Wearable Motion Tracking for Inpatient Monitoring Using Smartwatches." Sensors 20, no. 24 (2020): 7313. http://dx.doi.org/10.3390/s20247313.

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Inertial Measurement Units (IMUs) within an everyday consumer smartwatch offer a convenient and low-cost method to monitor the natural behaviour of hospital patients. However, their accuracy at quantifying limb motion, and clinical acceptability, have not yet been demonstrated. To this end we conducted a two-stage study: First, we compared the inertial accuracy of wrist-worn IMUs, both research-grade (Xsens MTw Awinda, and Axivity AX3) and consumer-grade (Apple Watch Series 3 and 5), and optical motion tracking (OptiTrack). Given the moderate to strong performance of the consumer-grade sensors
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49

Cudejko, T., K. Button, and M. Al-Amri. "Validity of orientations and accelerations measured using Xsens DOT inertial measurement unit during functional activities." Gait & Posture 97 (September 2022): S341—S342. http://dx.doi.org/10.1016/j.gaitpost.2022.07.202.

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50

Breznik, Matic, Borut Buchmeister, and Nataša Vujica Herzog. "Evaluation of the EAWS Ergonomic Analysis on the Assembly Line: Xsens vs. Manual Expert Method—A Case Study." Sensors 25, no. 15 (2025): 4564. https://doi.org/10.3390/s25154564.

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Анотація:
This study investigates the effectiveness of the Xsens motion capture system in performing ergonomic analysis compared to traditional manual assessments by experts in the specific environment of assembly lines. A comprehensive literature review emphasizes the need to investigate the reliability of new, promising high-tech systems. The main objective was therefore to compare the Ergonomic Assessment Worksheet (EAWS) assessment approach performed with Xsens motion capture technology and Process Simulate V16 software with the manual method using EAWS digital prepared by experts in the controlled
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