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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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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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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 (July 31, 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 transitioning between running, kneeling, and prone positions. PCA was applied to both the optical and virtual IMU markers, and the correlations between the principal component (PC) scores were assessed. Full-body joint angles were calculated and compared using RMSE between optical markers, IMU data, and virtual markers generated from IMU data with and without coordinate system alignment. There was good agreement in movement reconstruction using PCA; the average correlation coefficient was 0.81 ± 0.14. RMSE values between the optical markers and IMU data for flexion-extension were less than 9°, and 15° for the lower and upper limbs, respectively, across all tasks. The underlying biomechanical model and associated coordinate systems appear to influence RMSE values the most. The IMU system appears appropriate for capturing and reconstructing full-body motion variability for military-based movements.
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Yoshida, Yasuyuki, Arunas Bizokas, Katusha Demidova, Shinichi Nakai, Rie Nakai, and Takuichi Nishimura. "Partnering Effects on Joint Motion Range and Step Length in the Competitive Waltz Dancers." Journal of Dance Medicine & Science 24, no. 4 (December 1, 2020): 168–74. http://dx.doi.org/10.12678/1089-313x.24.4.168.
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Competitive dance, also known as DanceSport, is one of the official sports of the World Games. The most salient characteristic of ballroom dance is the closed-hold position, during which the upper body segments of partner-dancers are linked. This study aimed to investigate partnering effects on joint motion ranges of the lower extremity and step lengths during the waltz in 13 national level competitive dance couples and a world champion couple. A Xsens MVN system was used to record movement at 240 Hz. Solo and pair conditions were examined. Compared with the highly skilled couples, the world champion couple demonstrated superior dance skills for generating the first step length in the pair condition of the waltz. This was particularly evident in the step length and joint motion range of the champion female dancer.
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Pandey, Gaurav, James R. McBride, and Ryan M. Eustice. "Ford Campus vision and lidar data set." International Journal of Robotics Research 30, no. 13 (March 11, 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–December 2009. The vehicle path trajectory in these data sets contains several large- and small-scale loop closures, which should be useful for testing various state-of-the-art computer vision and simultaneous localization and mapping algorithms.
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Fraeulin, Laura, Fabian Holzgreve, Mark Brinkbäumer, Anna Dziuba, David Friebe, Stefanie Klemz, Marco Schmitt, 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 (December 10, 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), retroflexion of the trunk modified after Janda (DI), lateral inclination (TM) and fingertip-to-floor test (TM). Methods Two raters executed the RoM tests (TM or DI) in a randomized order on 22 healthy individuals while, simultaneously, the IMC data (Xsens MVN) was collected. After 15 warm-up repetitions, each rater recorded five measurements. Findings Intra-rater reliabilities were (almost) perfect for tests in all three devices (ICCs 0.886–0.996). Inter-rater reliability was substantial to (almost) perfect in the DI (ICCs 0.71–0.87) and the IMC methods (ICCs 0.61–0.993) and (almost) perfect in the TM methods (ICCs 0.923–0.961). The measurement error (ME) for the tests measured in degree (°) was 0.9–3.3° for the DI methods and 0.5–1.2° for the IMC approaches. In the tests measured in centimeters the ME was 0.5–1.3cm for the TM methods and 0.6–2.7cm for the IMC methods. Pearson correlations between the results of the DI or the TM respectively with the IMC results were significant in all tests except for the shoulder test on the right body side (r = 0.41–0.81). Interpretation Measurement repetitions of either one or multiple trained raters can be considered reliable in all three devices.
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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 (June 29, 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, while the second considers an anthropometric approach that correlates the stature with an anthropometric coefficient. Although the absolute agreement and consistency were found for the calculation of the stance phase, cadence and gait cycle, from our study, differences in SPT were found between the two systems. Mean square error (MSE) calculation of their speed (m/s) with respect to the imposed speed on a treadmill reveals a smaller error (MSE = 0.0008) using the OptoGaitTM. Overall, our results indicate that the accurate detection of heel strike and toe-off have an influence on phases and sub-phases for the entire acquisition. Future study in this domain should investigate how to design and integrate better products and algorithms aiming to solve the problematic issues already identified in this study without limiting the user’s need and performance in a different environment.
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Di Paolo, Stefano, Nicola Francesco Lopomo, Francesco Della Villa, Gabriele Paolini, Giulio Figari, Laura Bragonzoni, Alberto Grassi, and Stefano Zaffagnini. "Rehabilitation and Return to Sport Assessment after Anterior Cruciate Ligament Injury: Quantifying Joint Kinematics during Complex High-Speed Tasks through Wearable Sensors." Sensors 21, no. 7 (March 26, 2021): 2331. http://dx.doi.org/10.3390/s21072331.
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The aim of the present study was to quantify joint kinematics through a wearable sensor system in multidirectional high-speed complex movements used in a protocol for rehabilitation and return to sport assessment after Anterior Cruciate Ligament (ACL) injury, and to validate it against a gold standard optoelectronic marker-based system. Thirty-four healthy athletes were evaluated through a full-body wearable sensor (MTw Awinda, Xsens) and a marker-based optoelectronic (Vicon Nexus, Vicon) system during the execution of three tasks: drop jump, forward sprint, and 90° change of direction. Clinically relevant joint angles of lower limbs and trunk were compared through Pearson’s correlation coefficient (r), and the Coefficient of Multiple Correlation (CMC). An excellent agreement (r > 0.94, CMC > 0.96) was found for knee and hip sagittal plane kinematics in all the movements. A fair-to-excellent agreement was found for frontal (r 0.55–0.96, CMC 0.63–0.96) and transverse (r 0.45–0.84, CMC 0.59–0.90) plane kinematics. Movement complexity slightly affected the agreement between the systems. The system based on wearable sensors showed fair-to-excellent concurrent validity in the evaluation of the specific joint parameters commonly used in rehabilitation and return to sport assessment after ACL injury for complex movements. The ACL professionals could benefit from full-body wearable technology in the on-field rehabilitation of athletes.
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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 (November 25, 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 estimated by ZUPT. In order to solve this problem, the improved ZUPT based on the Improved Attitude Algorithm (IAA) according to accelerometer measurements is proposed in this paper. When a pedestrian is in the stance phase, the horizontal attitude is estimated by using accelerometer measurements. According to the relationship between the heading misalignment angle and horizontal attitude, the heading misalignment angle is obtained by a series of mathematical derivations. By taking the velocity error and the attitude misalignment angle as observations, the heading misalignment angle and positioning error can be estimated and compensated for through the Kalman filter. Finally, we use MTI-G710 sensor manufactured by XSENS for the actual test and the experiment results show that the proposed method is effectively correct.
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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 (February 6, 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 hair, grasping a seatbelt, placing a cup on a shelf) in 10 AC patients (mean age = 54 (±6), 7 females), on two test occasions (accompanied by different operators on second occasion). Standard error of measurements (SEMs) were below 1.5° for ST pro-retraction and 4.6° for GH in-external rotation during GH external rotation; below 6.6° for ST tilt, 6.4° for GH flexion-extension, 7.1° for elbow flexion-extension during combing hair; below 4.4° for GH ab-adduction, 13° for GH in-external rotation, 6.8° for elbow flexion-extension during grasping the seatbelt; below 11° for all ST and GH joint rotations during placing a cup on a shelf. Therefore, to evaluate AC progression, inertial sensors systems can be applied during the execution of functional tasks.
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Valencia-Jimenez, Nicolas, Arnaldo Leal-Junior, Leticia Avellar, Laura Vargas-Valencia, Pablo Caicedo-Rodríguez, Andrés Ramírez-Duque, Mariana Lyra, Carlos Marques, Teodiano Bastos, and Anselmo Frizera. "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 (February 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 commonly reported in such systems. Two wearable sensors were employed for the comparison of angle estimation: (i) a POF curvature sensor to measure 1-DOF angle; and (ii) a commercially available IMUs MTw Awinda from Xsens. A protocol to evaluate elbow joints of 11 healthy volunteers was implemented and the comparison of the three systems was presented using the correlation coefficient and the root mean squared error (RMSE). Moreover, a novel approach for angle correction of markerless camera-based systems is proposed here to minimize the errors on the sagittal plane. Results show a correlation coefficient up to 0.99 between the sensors with a RMSE of 4.90 ∘ , which represents a two-fold reduction when compared with the uncompensated results (10.42 ∘ ). Thus, the RGB-D system with the proposed technique is an attractive non-invasive and low-cost option for joint angle assessment. The authors envisage the proposed vision system as a valuable tool for the development of game-based interactive environments and for assistance of healthcare professionals on the generation of functional parameters during motion analysis in physical training and therapy.
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Islam, Riasat, Mohamed Bennasar, Kevin Nicholas, Kate Button, Simon Holland, Paul Mulholland, Blaine Price, and Mohammad Al-Amri. "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 (June 16, 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 is a need to establish its validity in participants with and without knee conditions across a range of tasks with varying complexity. Objective This paper aimed to present the validation of MoJoXlab software for using generic wearable IMUs for calculating hip, knee, and ankle joint angle measurements in the sagittal, frontal, and transverse planes for walking, squatting, and jumping in healthy participants and those with anterior cruciate ligament (ACL) reconstruction. Methods Movement data were collected from 27 healthy participants and 20 participants with ACL reconstruction. In each case, the participants wore seven MTw2 IMUs (Xsens Technologies) to monitor their movement in walking, jumping, and squatting tasks. The hip, knee, and ankle joint angles were calculated in the sagittal, frontal, and transverse planes using two different software packages: Xsens’ validated proprietary MVN Analyze and MoJoXlab. The results were validated by comparing the generated waveforms, cross-correlation (CC), and normalized root mean square error (NRMSE) values. Results Across all joints and activities, for data of both healthy and ACL reconstruction participants, the CC and NRMSE values for the sagittal plane are 0.99 (SD 0.01) and 0.042 (SD 0.025); 0.88 (SD 0.048) and 0.18 (SD 0.078) for the frontal plane; and 0.85 (SD 0.027) and 0.23 (SD 0.065) for the transverse plane (hip and knee joints only). On comparing the results from the two different software systems, the sagittal plane was very highly correlated, with frontal and transverse planes showing strong correlation. Conclusions This study demonstrates that nonproprietary software such as MoJoXlab can accurately calculate joint angles for movement analysis applications comparable with proprietary software for walking, squatting, and jumping in healthy individuals and those following ACL reconstruction. MoJoXlab can be used with generic wearable IMUs that can provide clinicians accurate objective data when assessing patients’ movement, even when changes are too small to be observed visually. The availability of easy-to-setup, nonproprietary software for calibration, data collection, and joint angle calculation has the potential to increase the adoption of wearable IMU sensors in clinical practice, as well as in free living conditions, and may provide wider access to accurate, objective assessment of patients’ progress over time.
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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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Uhlár, Ádám, Mira Ambrus, Márton Kékesi, Eszter Fodor, László Grand, Gergely Szathmáry, Kristóf Rácz, and Zsombor Lacza. "Kinect Azure–Based Accurate Measurement of Dynamic Valgus Position of the Knee—A Corrigible Predisposing Factor of Osteoarthritis." Applied Sciences 11, no. 12 (June 15, 2021): 5536. http://dx.doi.org/10.3390/app11125536.
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(1) Dynamic knee valgus is a predisposing factor for anterior cruciate ligament rupture and osteoarthritis. The single-leg squat (SLS) test is a widely used movement pattern test in clinical practice that helps to assess the risk of lower-limb injury. We aimed to quantify the SLS test using a marker-less optical system. (2) Kinect validity and accuracy during SLS were established by marker-based OptiTrack and MVN Xsens motion capture systems. Then, 22 individuals with moderate knee symptoms during sports activities (Tegner > 4, Lysholm > 60) performed SLS, and this was recorded and analyzed with a Kinect Azure camera and the Dynaknee software. (3) An optical sensor coupled to an artificial-intelligence-based joint recognition algorithm gave a comparable result to traditional marker-based motion capture devices. The dynamic valgus sign quantified by the Q-angle at the lowest point of the squat is highly dependent on squat depth, which severely limits its comparability among subjects. In contrast, the medio-lateral shift of the knee midpoint at a fixed squat depth, expressed in the percentage of lower limb length, is more suitable to quantify dynamic valgus and compare values among individual patients. (4) The current study identified a new and reliable way of evaluating dynamic valgus of the knee joint by measuring the medial shift of the knee-over-foot at a standardized squat depth. Using a marker-less optical system widens the possibilities of evaluating lower limb functional instabilities for medical professionals.
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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 (September 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 characteristics of individuals of varying age and body type. Ninety-three participants, comprising a control group (aged 21–<65 years with body mass index [BMI] <30 kg/m2), a high-BMI group (aged 21–<65 years with BMI ≥30 kg/m2), and an elderly group (aged ≥65 years), performed ingress and egress trials in three vehicles (compact, sedan, and sport utility vehicle [SUV]) while wearing a wireless IMU system (Xsens MVN BIOMECH Awinda system, Xsens Technologies BV, Enschede, Netherlands). Native protocols of the IMU system were used to estimate the joint centers and motion paths of several bilateral body joints including the ankle, knee, hip, wrist, elbow, and shoulder. The transition of each joint center across the edge of the seating area at the door sill as the subject got into and out of the vehicles was measured. The start of the ingress process was defined as the time when the first joint center passed through the door sill into the driver’s seating area. The end of ingress was considered to be the time when the final joint passed back through the edge of the seating area. Two-way analyses of variance (ANOVA) examining the effects of population (control vs. elderly vs. high-BMI), gender, vehicle model, and their interactions on ingress and egress times were conducted. In general, the right ankle was the first body segment to enter each of the three vehicles followed by the right knee, right hip, right shoulder, left hip, left shoulder, left knee and the left ankle regardless of population group. Ingress time was observed to be affected by population (F2, 28 = 17.97, p < 0.001), and was characterized by a much slower ingress time among the elderly (mean = 4.33 secs), compared with controls (2.97 secs) and high-BMI participants (2.71 secs). Egress was also observed to be affected by population (F2, 28 = 8.85, p < 0.001), but in a slightly different manner. The control group (mean = 2.95 secs) was the fastest to egress the car, followed by the high-BMI group (4.42 secs) and the elderly (5.26 secs). The results indicate that IMUs may be successfully applied to characterize ingress and egress motion paths of different population groups and may be useful when designing seated applications, particularly for elderly and high-BMI populations.
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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 (June 6, 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 software was found to be efficient, reducing data extraction time by 97% when used with a sample of 16 riders. Good correlation was found between hip flexion and pelvic anterior-posterior rotation and between halt and trot but with significantly greater values of hip flexion and pelvic anterior rotation in trot. No riders showed hip flexion >50° at halt but 11 riders (69%) showed hip flexion >50° during the sit phase of rising trot, indicating that dynamic assessment is important when considering rider postural faults that may put them at risk of back injury.
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Makaruk, Hubert, Andrzej Mastalerz, Marcin Starzak, and Mariusz Buszta. "The Influence of Different Training Conditions on the Kinematics of Long Jump-Specific Exercise in Young Female Jumpers." Polish Journal of Sport and Tourism 22, no. 4 (December 1, 2015): 241–46. http://dx.doi.org/10.1515/pjst-2015-0032.
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Abstract Introduction. This study examined the changes in the kinematic parameters of long jump-specific technical exercise performed in different training conditions. Material and methods. The study involved a group of young female athletes who volunteered to participate in the research. The key variables for long jump performance were measured using the Xsens MVN system. A three-way ANOVA (general linear model with repeated measures; factors: surface × hurdle × number of jumps) was used to determine if significant differences existed between the testing conditions. Results. The main finding of this study was that the tartan surface resulted in significantly (p < 0.05) greater velocities of the centre of mass of the body (CM) or parts of the athlete’s body than the grass surface. The second important finding was that the hurdles condition provided significantly (p < 0.05) greater velocity of the CM when landing and shorter contact time compared to the condition without hurdles. Conclusions. The findings of the study indicate that technical exercise should be performed on harder surfaces such as a tartan track rather than softer ones (e.g. grass) due to more beneficial movement characteristics and greater potential for the automaticity of movement during specific training tasks.
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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 (June 13, 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 at the time of release were extrapolated from the wrist joint angles. All players performed four 3PS actions in dynamic conditions before and after a fatigue protocol at 70% of their maximal exercise capacity. The fatigue protocol consisted of a shuttle test with repeated 20-m sprints interspersed with sets of 5 jumps. There was no change in the kinematics of 3PS (p > 0.05), or the ball release variables (p > 0.05) following the fatigue protocol. This suggests that elite basketball players are able to cope with physical fatigue while performing coordinated movements such as 3PS.
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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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Khedr, Maan, and Naser El-Sheimy. "S-PDR: SBAUPT-Based Pedestrian Dead Reckoning Algorithm for Free-Moving Handheld Devices." Geomatics 1, no. 2 (March 25, 2021): 148–76. http://dx.doi.org/10.3390/geomatics1020010.
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Mobile location-based services (MLBS) are attracting attention for their potential public and personal use for a variety of applications such as location-based advertisement, smart shopping, smart cities, health applications, emergency response, and even gaming. Many of these applications rely on Inertial Navigation Systems (INS) due to the degraded GNSS services indoors. INS-based MLBS using smartphones is hindered by the quality of the MEMS sensors provided in smartphones which suffer from high noise and errors resulting in high drift in the navigation solution rapidly. Pedestrian dead reckoning (PDR) is an INS-based navigation technique that exploits human motion to reduce navigation solution errors, but the errors cannot be eliminated without aid from other techniques. The purpose of this study is to enhance and extend the short-term reliability of PDR systems for smartphones as a standalone system through an enhanced step detection algorithm, a periodic attitude correction technique, and a novel PCA-based motion direction estimation technique. Testing shows that the developed system (S-PDR) provides a reliable short-term navigation solution with a final positioning error that is up to 6 m after 3 min runtime. These results were compared to a PDR solution using an Xsens IMU which is known to be a high grade MEMS IMU and was found to be worse than S-PDR. The findings show that S-PDR can be used to aid GNSS in challenging environments and can be a viable option for short-term indoor navigation until aiding is provided by alternative means. Furthermore, the extended reliable solution of S-PDR can help reduce the operational complexity of aiding navigation systems such as RF-based indoor navigation and magnetic map matching as it reduces the frequency by which these aiding techniques are required and applied.
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Ernest, Kristin M., Tyler Davis, and Eric L. Dugan. "CHANGES IN DUAL-TASK GAIT VELOCITY COST FOLLOWING CONCUSSION." Orthopaedic Journal of Sports Medicine 9, no. 7_suppl3 (July 1, 2021): 2325967121S0009. http://dx.doi.org/10.1177/2325967121s00097.
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Background: Changes in gait velocity have been identified in the literature between concussed and non-concussed individuals. Concussed patients demonstrate slower gait speed; the gait velocity cost has not been evaluated as extensively. Hypothesis: Hypothesis 1: Dual-task gait velocity cost will decrease at time of clearance compared to initial testing. Hypothesis 2: Subjects with a SRC will demonstrate greater decreases in gait velocity costs than those with non-SRC. Hypothesis 3: Symptom severity will be positively correlated to dual-task gait costs within the first 5 days after concussion. Methods: Patients evaluated for concussion in primary care sports medicine clinic within five days of injury were recruited between October 2017 and May 2019. The mechanism of injury was documented and used to classify sport-related (SRC) versus non sport-related (non-SRC) concussion. A standard concussion evaluation was performed at each visit to assess history, symptoms, neurocognitive, neuromuscular and vestibular dysfunction. Dual-task walking trials were incorporated with a cognitive task such as reciting the months of the year in reverse order or spelling words backwards. During the walking trials, gait velocity was measured using an Xsens MVN BIOMCH system (Xsens Technologies BV, Enschede, The Netherlands). A two-way mixed ANOVA with one within-subjects factor (time) and one between-groups factor (mechanism of injury) was used to determine if dual-task gait velocity costs differed over time and between those with a SRC versus those with a non-SRC. A Pearson’s product-moment correlation was used to assess the relationship between symptom severity scores and dual-task gait costs at initial visit. Results: There was no statistically significant interaction between the mechanism of injury and time on gait velocity cost, F(1, 79) = .033, p = .86. The main effect of time showed a statistically significant difference in mean gait velocity cost from initial to clearance, F(1, 79) = 6.19, p = 0.015, generalized η2 = .0.013. There was no main effect of mechanism of injury in mean gait velocity costs, F(1, 79) = 0.800, p = 0.374, generalized η2 = 0.008. There was a statistically significant, small positive correlation between symptom severity and dual-task gait velocity costs, r = .30, p < .007, with symptom severity explaining 9 % of the variation in dual-task gait velocity costs. Conclusion: The gait velocity cost demonstrates a statistically significant change from the time of injury to clearance in concussion patients. A small but significant relationship also exists between symptom severity and gait velocity cost.
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Bondarchuk, E. V., A. G. Merkulova, and S. A. Kalinina. "The possibility of using inertial motion capture systems to solve problems of labor physiology." Russian Journal of Occupational Health and Industrial Ecology 60, no. 11 (December 3, 2020): 734–37. http://dx.doi.org/10.31089/1026-9428-2020-60-11-734-737.
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Introduction. Improving the ergonomics of the workplace, preventing the development of fatigue and diseases of the musculoskeletal system are relevant for workers in all spheres of the modern economy. The physiology of labor is engaged in solving these issues, one of the tasks of which is to conduct an ergonomic analysis, which includes determining the severity of the labor process and determining the rationality of working postures. The search for and approbation of modern methods of increasing the objectivity and reliability of research carried out in production is an urgent direction in labor physiology. The aim of the study is comparison of the results of a hygienic assessment of the severity of the labor process in accordance with the guideline R 2.2.2006-05, carried out using standard techniques and the use of motion capture technology based on IMU-sensors, carried out at the workplace of a specialist in the management of high-rise equipment. Materials and methods. To measure the indicators of the severity of labor in accordance with the guideline R 2.2.2006-05, standard measuring instruments measuring instruments were used. The Xsens system (Netherlands) with wireless IMU-sensors "Awinda" was used as a motion capture system. Results. During this study, the possibility of using inertial motion capture systems was established as a reliable and additional tool for solving problems of labor physiology. Conclusion. It was revealed that this technology allows to increase the objectivity and reliability of ergonomic analysis and to measure quantitative indicators of the severity of labor in any production environment. At the same time, today a significant drawback is the lack of programs for processing the data obtained and the need to use standard measuring instruments.
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Maurer-Grubinger, Christian, Jasmin Haenel, Laura Fraeulin, Fabian Holzgreve, Eileen M. Wanke, David A. Groneberg, and Daniela Ohlendorf. "The Movement Profile of Habitual Vacuuming as a Cyclic Movement—A Pilot Study." International Journal of Environmental Research and Public Health 17, no. 23 (November 26, 2020): 8793. http://dx.doi.org/10.3390/ijerph17238793.
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Background: Vacuum cleaning, which is associated with musculoskeletal complaints, is frequently carried out in private households and by professional cleaners. The aim of this pilot study was to quantify the movements during habitual vacuuming and to characterize the movement profile with regard to its variability. Methods: The data were collected from 31 subjects (21 f/10 m) using a 3D motion analysis system (XSens). Eight vacuum cleaners were used to vacuum polyvinyl chloride (PVC) and carpet floors. In 15 joints of the right upper extremity, the trunk and the lower extremities, Principal Component Analysis was used to determine the predominantly varying joints during vacuuming. Results: The movements of the trunk and the lower extremities were relatively constant and, therefore, had less influence. The shoulder, elbow and wrist joints were identified as joints that can be decisive for the movement profile and that can be influenced. These joints were represented in the course of the vacuuming cycle by the mean movement with its standard deviation. Conclusion: In summary, the generalization of a movement profile is possible for the trunk and the lower extremities due to the relative homogeneity. In future it will be necessary to identify factors influencing variability in order to draw conclusions about movement ergonomics.
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Yoshida, Yasuyuki, Arunas Bizokas, Katusha Demidova, Shinichi Nakai, Rie Nakai, and Takuichi Nishimura. "Determining Partnering Effects in the “Rise and Fall” Motion of Competitive Waltz by the Use of Statistical Parametric Mapping." Baltic Journal of Sport and Health Sciences 1, no. 120 (April 15, 2021): 4–12. http://dx.doi.org/10.33607/bjshs.v1i120.1047.
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Background. Competitive dance, also known as “DanceSport,” is a competitive style of ballroom dance. The waltz features a particular movement in which the dancer lifts and lowers his/her body while dancing. In ballroom dance terms, this movement is known as the “rise and fall.” The purpose of this research was to examine partnering effects in relation to the vertical component of dancers’ center of mass when performing the competitive waltz.
Methods. This investigation was conducted through statistical parametric mapping of the movements of 13 national level competitive dance couples and a world champion couple as they danced both solo and in pairs. The Xsens MVN system was used to record their movements, using a capture rate of 240 Hz.
Results. We consequently found that, in the pair condition, the vertical component of the center of mass was smaller for the male dancers and larger for the champion male dancer when compared to their respective solo conditions. However, for the female dancers and the champion female dancer, unlike the males, no significant partner effects were found.
Conclusion. Therefore, in terms of partner effects, the “rise and fall.” motion was smaller for the male dancers and larger for the champion male dancer.
Keywords: DanceSport, ballroom, kinematics, partnering, statistical parametric mapping.
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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 (July 16, 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 inertial motion capture system by Xsens. Statistical parametric mapping was used to compare the active leg (AL) and passive leg (PL) phases of the WR and TR. In the TR, more spinal extension (~0.5–1°; p = 0.001) and rotation (~0.2–0.5°; p = 0.001–0.004), increases in hip flexion (~3°; ~65% AL−~55% PL; p = 0.001–0.004), internal hip rotation (~2.5°; AL + ~0–30% PL; p = 0.001–0.024), more knee adduction (~1°; ~80–95% AL; p = 0.001), and complex altered knee flexion patterns (~2–4°; AL + PL; p = 0.001–0.01) occurred. Complex kinematic differences between a WR and a TR were detected. This contributes to a better understanding of the incoordination in transition running.
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Alahmri, Fayez, Saad Alsaadi, and Mohammed Ahsan. "Comparison of 3D Hip Joint Kinematics in People with Asymptomatic Pronation of the Foot and Non-Pronation Controls." Malaysian Journal of Medical Sciences 28, no. 3 (June 30, 2021): 77–85. http://dx.doi.org/10.21315/mjms2021.28.3.7.
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Background: The impact of asymptomatic pronation on proximal joints during motion has not been well understood, and research on it remains limited. Therefore, the current study determines the effect of asymptomatic pronation of the foot on hip joint kinematics during gait. Methods: Forty participants were recruited for the study (20 with asymptomatic pronated feet and 20 with non-pronated feet). Foot assessment was conducted by navicular drop and rear- foot angle tests. Hip joint kinematics were measured via MVN Xsens system 3D-motion capture from sagittal, frontal and transverse planes during gait. An independent t-test was used to identify differences in kinematic variables. Results: Both groups were similar in characteristics, and there were no significant differences between the groups in age (P = 0.674) and BMI (P = 0.459). However, there was a significant difference in arch height (P = 0.001) and rear-foot angle (P = 0.001). Our findings showed there were insignificant differences between the asymptomatic pronated foot and non- pronated foot control groups in hip joint kinematics of sagittal (P = 0.618), frontal (P = 0.276), and transverse (P = 0.337) planes during a full gait cycle. Conclusion: Patients with asymptomatic pronation of the foot and non-pronation of the foot showed similar movement patterns of hip kinematics in all three planes. The findings of the present study highlight the need for clinicians to consider foot alignment when examining patients with asymptomatic pronation of the foot and non-pronation of the foot.
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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 (November 23, 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 heading misalignment angle, which are addressed in this paper. Our first contribution is proposing a fast-initial alignment algorithm for foot-mounted inertial/magnetometer pedestrian positioning based on the Adaptive Gradient Descent Algorithm (AGDA). Considering the characteristics of gravity and Earth’s magnetic field, measured by accelerometers and magnetometers, respectively, when the pedestrian is standing at one place, the AGDA is introduced as the fast-initial alignment. The AGDA is able to estimate the initial attitude and enhance the ability of magnetic disturbance suppression. Our second contribution in this paper is proposing an inertial/magnetometer positioning algorithm based on an adaptive Kalman filter to solve the problem of the unobserved heading misalignment angle. The algorithm utilizes heading misalignment angle as an observation for the Kalman filter and can improve the accuracy of pedestrian position by compensating for magnetic disturbances. In addition, introducing an adaptive parameter in the Kalman filter is able to compensate the varying magnetic disturbance for each ZUPT instant during the walking phase of the pedestrian. The performance of the proposed method is examined by conducting pedestrian test trajectory using MTi-G710 manufacture by XSENS. The experimental results verify the effectiveness and applicability of the proposed method.
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Wang, Feng. "Analysis of human mechanics structure in national Tai Chi movement." International Journal of Advanced Robotic Systems 17, no. 2 (March 1, 2020): 172988142091506. http://dx.doi.org/10.1177/1729881420915069.
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Tai Chi is an excellent traditional culture of the Chinese nation and a treasure of traditional national sports. It has been developing since thousands of years and is increasingly loved by more and more people at home and abroad. Because of the development of the times and the influence of the change of value orientation of Tai Chi and other factors, people’s understanding of many problems of Tai Chi such as theory and method has been biased, which makes the idea of action and skill weakening and action not uniform in the process of inheritance and development of Tai Chi routines. Even the prescribed routines may be practiced and understood differently. To inherit, develop, and disseminate Tai Chi better, these traditional valuable experiences should be made scientific and standardized. With the help of the research method of sports human mechanics and advanced experimental instruments (Xsens MVN system), this article studies and analyzes the human mechanics of the main movements of traditional Yang and Wu Tai Chi, which are the most popular. This provides a scientific experimental basis for the technical research of Tai Chi. The results show that there is no significant difference between Wu-style Tai Chi and Yang-style Tai Chi practitioners in the percentage of body weight in front leg, knee joint, and sole pressure, but there is significant difference in the percentage of body weight in back leg. As a result, the foot pressure gap between Yang-style Tai Chi and Wu-style Tai Chi is smaller, while the foot pressure gap between Wu-style Tai Chi and Wu-style Tai Chi is larger. There were no significant differences in trunk force, front hip force, back hip force, front knee force, and back knee force ( p > 0.05).
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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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Van der Straaten, Rob, Amber K. B. D. Bruijnes, Benedicte Vanwanseele, Ilse Jonkers, Liesbet De Baets, and Annick Timmermans. "Reliability and Agreement of 3D Trunk and Lower Extremity Movement Analysis by Means of Inertial Sensor Technology for Unipodal and Bipodal Tasks." Sensors 19, no. 1 (January 3, 2019): 141. http://dx.doi.org/10.3390/s19010141.
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This study evaluates the reliability and agreement of the 3D range of motion (ROM) of trunk and lower limb joints, measured by inertial measurement units (MVN BIOMECH Awinda, Xsens Technologies), during a single leg squat (SLS) and sit to stand (STS) task. Furthermore, distinction was made between movement phases, to discuss the reliability and agreement for different phases of both movement tasks. Twenty healthy participants were measured on two testing days. On day one, measurements were conducted by two operators to determine the within-session and between-operator reliability and agreement. On day two, measurements were conducted by the same operator, to determine the between-session reliability and agreement. The SLS task had lower within-session reliability and agreement compared with between-session and between-operator reliability and agreement. The reliability and agreement of the hip, knee, and ankle ROM in the sagittal plane were good for both phases of the SLS task. For both phases of STS task, within-session reliability and agreement were good, and between-session and between-operator reliability and agreement were lower in all planes. As both tasks are physically demanding, differences may be explained by inconsistent movement strategies. These results show that inertial sensor systems show promise for use in further research to investigate (mal)adaptive movement strategies.
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Guo, H., M. Uradzinski, H. Yin, and M. Yu. "Indoor positioning based on foot-mounted IMU." Bulletin of the Polish Academy of Sciences Technical Sciences 63, no. 3 (September 1, 2015): 629–34. http://dx.doi.org/10.1515/bpasts-2015-0074.
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Abstract The paper presents the results of the project which examines the level of accuracy that can be achieved in precision indoor positioning by using a pedestrian dead reckoning (PDR) method. This project is focused on estimating the position using step detection technique based on foot-mounted IMU. The approach is sensor-fusion by using accelerometers, gyroscopes and magnetometers after initial alignment is completed. By estimating and compensating the drift errors in each step, the proposed method can reduce errors during the footsteps. There is an advantage of the step detection combined with ZUPT and ZARU for calculating the actual position, distance travelled and estimating the IMU sensors’ inherent accumulated error by EKF. Based on the above discussion, all algorithms are derived in detail in the paper. Several tests with an Xsens IMU device have been performed in order to evaluate the performance of the proposed method. The final results show that the dead reckoning positioning average position error did not exceed 0.88 m (0.2% to 1.73% of the total traveled distance – normally ranges from 0.3% to 10%), what is very promising for future handheld indoor navigation systems that can be used in large office buildings, malls, museums, hospitals, etc.
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Kutilek, Patrik, Ondrej Cakrt, Vladimir Socha, and Karel Hana. "Volume of confidence ellipsoid: a technique for quantifying trunk sway during stance." Biomedical Engineering / Biomedizinische Technik 60, no. 2 (January 1, 2015). http://dx.doi.org/10.1515/bmt-2014-0012.
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AbstractThe position of the trunk can be negatively affected by many diseases. This work focuses on a noninvasive method of quantifying human postural stability and identifying defects in balance and coordination as a result of the nervous system pathology. We used a three-degree-of-freedom orientation tracker (Xsens MTx unit) placed on a patient’s trunk and measured three-dimensional (3-D) data (pitch, roll, and yaw) during quiet stance. The principal component analysis was used to analyze the data and to determine the volume of 3-D 95% confidence ellipsoid. Using this method, we were able to model the distribution of the measured 3-D data (pitch, roll, and yaw). Eight patients with degenerative cerebellar disease and eight healthy subjects in this study were measured during stance, with eyes open and eyes closed, and statistical analysis was performed. The results of the new method based on the 3-D confidence ellipsoid show that the volumes related to the patients are significantly larger than the volumes related to the healthy subjects. The concept of confidence ellipsoid volume, although known to the biomechanics community, has not been used before to study the postural balance problems. The method can also be used to study, for example, head and pelvis movements or alignments during stance.
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"THE POSITIONING ERRORS GENERATED BY XSENS MVN INDUCTIVE SYSTEM DURING THE ANALYSIS OF „PUSH-UPS” EXERCISE, USING THE „SINGLE LEVEL” SCENARIO, BEFORE AND AFTER THE CALLING OF "REPROCESS" FUNCTION." International Journal of Mechatronics and Applied Mechanics 1, no. 4 (November 30, 2018). http://dx.doi.org/10.17683/ijomam/issue4.18.
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Mecheri, Hakim, Xavier Robert-Lachaine, Christian Larue, and André Plamondon. "Evaluation of Eight Methods for Aligning Orientation of Two Coordinate Systems." Journal of Biomechanical Engineering 138, no. 8 (June 30, 2016). http://dx.doi.org/10.1115/1.4033719.
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The aim of this study was to evaluate eight methods for aligning the orientation of two different local coordinate systems. Alignment is very important when combining two different systems of motion analysis. Two of the methods were developed specifically for biomechanical studies, and because there have been at least three decades of algorithm development in robotics, it was decided to include six methods from this field. To compare these methods, an Xsens sensor and two Optotrak clusters were attached to a Plexiglas plate. The first optical marker cluster was fixed on the sensor and 20 trials were recorded. The error of alignment was calculated for each trial, and the mean, the standard deviation, and the maximum values of this error over all trials were reported. One-way repeated measures analysis of variance revealed that the alignment error differed significantly across the eight methods. Post-hoc tests showed that the alignment error from the methods based on angular velocities was significantly lower than for the other methods. The method using angular velocities performed the best, with an average error of 0.17 ± 0.08 deg. We therefore recommend this method, which is easy to perform and provides accurate alignment.