Relevant bibliographies by topics / Xsens system

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Academic literature on the topic 'Xsens system'

Author: Grafiati
Published: 2 July 2021
Last updated: 14 February 2022

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Journal articles on the topic "Xsens system"

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 (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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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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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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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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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 (December 2011): 97. http://dx.doi.org/10.1016/j.hkpj.2011.08.015.

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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 (November 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 accurate and inaccurate goal kicks and the relationships between technical factors and accuracy. Accurate goal-kicks were characterised by a straighter approach line, with less kick-leg joint range of motion (knee and hip), lower linear velocity (centre of mass, foot speed), angular velocity (knee and shank), and less support-leg knee flexion during the kicking phase compared to inaccurate goal-kicks. At the end of the follow through, players produced greater ankle plantarflexion and a straighter-leg line in accurate goal-kicks. Findings in this research indicated that many factors interact with goal-kicking accuracy in AF, ranging from the players’ approach line path, their support-leg mechanics, the kick-leg swing motion, to the final position of the kicker during their follow through.
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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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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-and software. The strapped down data are received with a rate of 60 Hz. The output data of a single IMU sensor allow motion analysis of the sensor unit itself as well as the motion of the limb where the sensor is mounted to. Stable and reliable algorithms processing the gait data and calculating gait features of a single sensor are developed and evaluated. These algorithms are based on precise determination of each gait cycle. In the middle of stance phase the foot is not moving. It stands on the floor and, following, the initial conditions for the calculation of foot velocities and distances by integration are predetermined. Various features of the gait cycle as well as e.g. dependencies in between features or on the gait velocities are investigated. The application of seven sensors to the limbs of the locomotion system provides measurements of their 3D motion observed in an inertial coordinate system. The limbs are parts of skeleton and interconnected by joints. Introducing a skeleton model, the quality of measurements is evaluated and improved. Joint angles, symmetry ratios and other gait parameters are determined. These results can be used for analysis of the gait of any subject as well as of any cohort.
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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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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 (May 27, 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 three different TC GNSS PPP/INS integrated systems. The first system uses the Trimble R9s geodetic-grade receiver with the tactical-grade Stim300 IMU, the second system uses the u-blox F9P receiver with the Stim300 IMU, while the third system uses the Trimble R9s receiver with the xsens MTi670 IMU. An improved robust adaptive Kalman filter is adopted and used in this study due to its ability to reduce the effect of measurement outliers and dynamic model errors on the obtained positioning and attitude accuracy. Real-time precise ephemeris and clock products from the Centre National d’Etudes Spatials (CNES) are used to mitigate the effects of orbital and satellite clock errors. Three land vehicular field trials were carried out to assess the performance of the proposed system under both open-sky and challenging environments. It is shown that the tracking capability of the GNSS receiver is the dominant factor that limits the positioning accuracy, while the IMU grade represents the dominant factor for the attitude accuracy. The proposed TC triple-constellation GNSS PPP/INS integrated system achieves sub-meter-level positioning accuracy in both of the north and up directions, while it achieves meter-level positioning accuracy in the east direction. Sub-meter-level positioning accuracy is achieved when the Stim300 IMU is used with the u-blox F9P GNSS receiver. In contrast, decimeter-level positioning accuracy is consistently achieved through TC GNSS PPP/INS integration when a geodetic-grade GNSS receiver is used, regardless of whether a tactical- or an industrial-grade IMU is used. The root mean square (RMS) errors of the proposed system’s attitude are about 0.878°, 0.804°, and 2.905° for the pitch, roll, and azimuth angles, respectively. The RMS errors of the attitude are significantly improved to reach about 0.034°, 0.038°, and 0.280° for the pitch, roll, and azimuth angles, respectively, when a tactical-grade IMU is used, regardless of whether a geodetic- or low-cost GNSS receiver is used.
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Dissertations / Theses on the topic "Xsens system"

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Mora, Quiles Elia, and Diego Borrell. "Evaluation of Exoskeleton Using XSENS System Including Scalefit." Thesis, Högskolan i Skövde, Institutionen för ingenjörsvetenskap, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-20114.

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Although the level of automation in the automotive industry is currently high, real humans are still required for assembly tasks, for example, during overhead tasks. This type of work can cause injuries in workers in this sector, especially musculoskeletal disorders (MSDs), being a cause for the inability to work in developed countries and, in turn, becoming a significant health problem. There is an aim to reduce the risk for these type of injuries during the development processes of this type of assembly operations. Various options are currently being considered where technology and the human factor can be combined. Among them, we find the object of study for this project, an exoskeleton.The aim of this project is to study the biomechanical effects as well as the ergonomics of a passive exoskeleton called Paexo Shoulder, developed by the company Ottobock, with the aim of relieving tensions in the shoulder joints and upper part of the shoulders, during its use in assembly tasks. For this purpose, an experiment will be designed in which several participants will carry out a series of tasks both with and without the exoskeleton, in such a way that the effects of its use and how they affect the users of the product can be observed. For this purpose, an experiment was designed to evaluate the effects of the use or non-use of this exoskeleton on 10 participants when performing a task similar to an overhead task in an assembly line. For the evaluation of the product, the Xsens motion capture system, in particular the Awinda model, was used together with the ScaleFit software to evaluate the results obtained through the motion capture recordings. In addition, in order to improve Digital Human Modelling (DHM) tools, the same task was simulated with the IPS-IMMA software, where the results were later analysed and compared with the motion capture results through ScaleFit.The results showed relatively large improvements in the respective moment reduction at the shoulder joint when using the exoskeleton. However, it was also observed that due to the upward force exerted by the exoskeleton on the arms, participants spent less time in low-risk areas evaluated by ScaleFit and therefore, this effect needs to be studied further.
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Conference papers on the topic "Xsens system"

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Kopniak, Piotr. "Java wrapper for Xsens motion capture system SDK." In 2014 7th International Conference on Human System Interactions (HSI). IEEE, 2014. http://dx.doi.org/10.1109/hsi.2014.6860457.

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Petrov, Alexey, Lina Petrova, Maria Petrova, Alina Urazbakhtina, and Kristina Lobastova. "The use of XSens 3D motion tracking system for gait feature extraction." In Proceedings of the 4th International Conference on Innovations in Sports, Tourism and Instructional Science (ICISTIS 2019). Paris, France: Atlantis Press, 2019. http://dx.doi.org/10.2991/icistis-19.2019.49.

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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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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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