Validation of inertial measurement units with an optoelectronic system for whole-body motion analysis

STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT

Martin Bland, J., & Altman, D. (1986) · The Lancet · doi:10.1016/s0140-6736(86)90837-8 · Cited by 47,965

Akufo and Ibarapa

Beckett, A. H., Rowland, M., & TURNER, P. (1965) · The Lancet · doi:10.1016/s0140-6736(65)91037-8 · Cited by 16,917

ISB recommendation on definitions of joint coordinate systems of various joints for the reporting of human joint motion—Part II: shoulder, elbow, wrist and hand

Wu, G., van der Helm, F. C. T., Veeger, H. E. J., Makhsous, M., Roy, P. V., Anglin, C., Nagels, J., Karduna, A. R., McQuade, K. J., Wang, X., et al. (2004) · Journal of Biomechanics · doi:10.1016/j.jbiomech.2004.05.042 · Cited by 4,569

ISB recommendation on definitions of joint coordinate system of various joints for the reporting of human joint motion—part I: ankle, hip, and spine

Wu, G., Siegler, S., Allard, P., Kirtley, C., Leardini, A., Rosenbaum, D., Whittle, M., DʼLima, D. D., Cristofolini, L., Witte, H., et al. (2002) · Journal of Biomechanics · doi:10.1016/s0021-9290(01)00222-6 · Cited by 3,249

Human movement analysis using stereophotogrammetry

Leardini, A., Chiari, L., Croce, U. D., & Cappozzo, A. (2005) · Gait & Posture · doi:10.1016/j.gaitpost.2004.05.002 · Cited by 1,239

Untitled work

(2009) · Cited by 701

Kinematics of human motion

(1998) · Choice Reviews Online · doi:10.5860/choice.35-6297 · Cited by 430

New least squares solutions for estimating the average centre of rotation and the axis of rotation

Gamage, S. S. H. U., & Lasenby, J. (2002) · Journal of Biomechanics · doi:10.1016/s0021-9290(01)00160-9 · Cited by 378

The use of inertial sensors system for human motion analysis

Cuesta-Vargas, A. I., Galán-Mercant, A., & Williams, J. M. (2010) · Physical Therapy Reviews · doi:10.1179/1743288x11y.0000000006 · Cited by 369

Prediction of the hip joint centre in adults, children, and patients with cerebral palsy based on magnetic resonance imaging

Harrington, M., Zavatsky, A. B., LAWSON, S. E. M., Yuan, Z., & Theologis, T. N. (2006) · Journal of Biomechanics · doi:10.1016/j.jbiomech.2006.02.003 · Cited by 367

Influence of Fatigue on Some Kinematic Parameters of Basketball Passing

Li, F., Knjaz, D., & Rupčić, T. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18020700 · Cited by 23

Inertial Sensor-Based Motion Analysis of Lower Limbs for Rehabilitation Treatments

Sun, T., Li, H., Liu, Q., Duan, L., Li, M., Wang, C., Liu, Q., Li, W., Shang, W., Wu, Z., et al. (2017) · Journal of Healthcare Engineering · doi:10.1155/2017/1949170 · Cited by 23

Effects of Movement Speed and Magnetic Disturbance on the Accuracy of Inertial Measurement Units

Chen, H., Schall, M. C., & Fethke, N. B. (2017) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/1541931213601745 · Cited by 23

Intelligent prediction of kinetic parameters during cutting manoeuvres

Mundt, M., David, S., Koeppe, A., Bamer, F., Markert, B. A., & Potthast, W. (2019) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-019-02000-2 · Cited by 23

Developable Rotationally Symmetric Kirigami‐Based Structures as Sensor Platforms

Evke, E. E., Meli, D., & Shtein, M. (2019) · Advanced Materials Technologies · doi:10.1002/admt.201900563 · Cited by 23

Custom IMU-Based Wearable System for Robust 2.4 GHz Wireless Human Body Parts Orientation Tracking and 3D Movement Visualization on an Avatar

González-Alonso, J., Oviedo-Pastor, D., Aguado, H. J., Pernas, F. J. D., González‐Ortega, D., & Martínez‐Zarzuela, M. (2021) · Sensors · doi:10.3390/s21196642 · Cited by 22

Virtual Risk Management—Exploring Effects of Childhood Risk Experiences through Innovative Methods (ViRMa) for Primary School Children in Norway: Study Protocol for the ViRMa Project

Sandseter, E. B. H., Sando, O. J., Lorås, H. W., Kleppe, R., Storli, L., BRUSSONI, M. J., Bundy, A. C., Schwebel, D. C., Ball, D. J., Haga, M., et al. (2023) · JMIR Research Protocols · doi:10.2196/45857 · Cited by 23

Home office versus ergonomic workstation - is the ergonomic risk increased when working at the dining table? An inertial motion capture based pilot study

Holzgreve, F., Maurer, C., Fraeulin, L., Bausch, J., Groneberg, D. A., & Ohlendorf, D. (2022) · BMC Musculoskeletal Disorders · doi:10.1186/s12891-022-05704-z · Cited by 21

Continuous, integrated sensors for predicting fatigue during non-repetitive work: demonstration of technique in the operating room

Asadi, H., Monfared, S., Athanasiadis, D. I., Stefanidis, D., & Yu, D. (2021) · Ergonomics · doi:10.1080/00140139.2021.1909753 · Cited by 21

Automatic clustering of proper working postures for phases of movement

Ryu, J., McFarland, T. C., Haas, C. T., & Abdel-Rahman, E. M. (2022) · Automation in Construction · doi:10.1016/j.autcon.2022.104223 · Cited by 21

Reliability and Agreement of 3D Trunk and Lower Extremity Movement Analysis by Means of Inertial Sensor Technology for Unipodal and Bipodal Tasks

van der Straaten, R., Bruijnes, A. K. B. D., Vanwanseele, B., Jonkers, I., Baets, L. D., & Timmermans, A. A. A. (2019) · Sensors · doi:10.3390/s19010141 · Cited by 20

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Thiry, P., Houry, M., Philippe, L., Nocent, O., Buisseret, F., Dierick, F., Slama, R., Bertucci, W., Thévenon, A., & Simoneau-Buessinger, É. (2022) · Sensors · doi:10.3390/s22135027 · Cited by 20

Using inertial measurement units to estimate spine joint kinematics and kinetics during walking and running

Sibson, B. E., Banks, J. J., Yawar, A., Yegian, A. K., Anderson, D., & Lieberman, D. E. (2024) · Scientific Reports · doi:10.1038/s41598-023-50652-w · Cited by 20

Implementation and Validation of Human Kinematics Measured Using IMUs for Musculoskeletal Simulations by the Evaluation of Joint Reaction Forces

Aurbach, M., Wagner, K., Süß, F., & Dendorfer, S. (2017) · World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany · doi:10.1007/978-981-10-4166-2_31 · Cited by 20

Inertial Motion Capture-Based Estimation of L5/S1 Moments during Manual Materials Handling

Muller, A., Mecheri, H., Corbeil, P., Plamondon, A., & Robert‐Lachaine, X. (2022) · Sensors · doi:10.3390/s22176454 · Cited by 19

Analysis of Gait Kinematics in Smart Walker-Assisted Locomotion in Immersive Virtual Reality Scenario

Loureiro, M., Elías, A., Machado, F., Bezerra, M., Zimerer, C., de Mello, R. C., & Frizera, A. (2024) · Sensors · doi:10.3390/s24175534 · Cited by 19

Feasibility of quantifying the physical exposure of materials handlers in the workplace with magnetic and inertial measurement units

Robert‐Lachaine, X., Larue, C., Denis, D., Delisle, A., Mecheri, H., Corbeil, P., & Plamondon, A. (2019) · Ergonomics · doi:10.1080/00140139.2019.1612941 · Cited by 19

Acute effects from changes in saddle height in perceived comfort during cycling

Bini, R. R. (2020) · International Journal of Sports Science & Coaching · doi:10.1177/1747954120918965 · Cited by 21

A Subject-Specific Approach to Detect Fatigue-Related Changes in Spine Motion Using Wearable Sensors

Chan, V. C. H., Beaudette, S. M., Smale, K. B., Beange, K. H. E., & Graham, R. B. (2020) · Sensors · doi:10.3390/s20092646 · Cited by 19

Concurrent validity of inertial measurement units in range of motion measurements of upper extremity: A systematic review and meta-analysis

Li, J., Qiu, F., Gan, L., & Chou, L. (2024) · Wearable Technologies · doi:10.1017/wtc.2024.6 · Cited by 18

Effect of a back-support exoskeleton on internal forces and lumbar spine stability during low load lifting task

Eskandari, A. H., Ghezelbash, F., Shirazi‐Adl, A., Arjmand, N., & Larivière, C. (2024) · Applied Ergonomics · doi:10.1016/j.apergo.2024.104407 · Cited by 19

Exploring Trends and Clusters in Human Posture Recognition Research: An Analysis Using CiteSpace

Yan, L., & Du, Y. R. (2025) · Sensors · doi:10.3390/s25030632 · Cited by 18

Individualized workplace ergonomics using motion capture

Brosche, J., Wackerle, H., Augat, P., & Lödding, H. (2024) · Applied Ergonomics · doi:10.1016/j.apergo.2023.104140 · Cited by 17

Flexible sensor-based biomechanical evaluation of low-back exoskeleton use in lifting

Yin, W., Chen, Y., Reddy, C. P., Zheng, L., Mehta, R. K., & Zhang, X. (2023) · Ergonomics · doi:10.1080/00140139.2023.2216408 · Cited by 17

DYSKIMOT: An Ultra-Low-Cost Inertial Sensor to Assess Head’s Rotational Kinematics in Adults during the Didren-Laser Test

Hage, R., Detrembleur, C., Dierick, F., Pitance, L., Jojczyk, L., Estievenart, W., & Buisseret, F. (2020) · Sensors · doi:10.3390/s20030833 · Cited by 16

A Comparison of Inertial Motion Capture Systems: DorsaVi and Xsens

Drapeaux, A., & Carlson, K. M. (2020) · International Journal of Kinesiology and Sports Science · doi:10.7575/aiac.ijkss.v.8n.3p.24 · Cited by 16

Validity and Reliability of the Leomo Motion-Tracking Device Based on Inertial Measurement Unit with an Optoelectronic Camera System for Cycling Pedaling Evaluation

Plaza-Bravo, J. M., Mateo‐March, M., Sanchís-Sanchís, R., Pérez‐Soriano, P., Zabala, M., & Martínez, A. E. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19148375 · Cited by 16

ME-WARD: A multimodal ergonomic analysis tool for musculoskeletal risk assessment from inertial and video data in working places

González-Alonso, J., Martín-Tapia, P., González‐Ortega, D., Antón‐Rodríguez, M., Pernas, F. J. D., & Martínez‐Zarzuela, M. (2025) · Expert Systems with Applications · doi:10.1016/j.eswa.2025.127212 · Cited by 15

Bioengineering Support in the Assessment and Rehabilitation of Low Back Pain

Varrassi, G., Leoni, M. L. G., Al-Alwany, A. A., Sarzi‐Puttini, P., & Farì, G. (2025) · Bioengineering · doi:10.3390/bioengineering12090900 · Cited by 18

Comparison of Motion Analysis Systems in Tracking Upper Body Movement of Myoelectric Bypass Prosthesis Users

Wang, S. L., Civillico, G., Niswander, W., & Kontson, K. L. (2022) · Sensors · doi:10.3390/s22082953 · Cited by 18

An Inertial-Based Upper-Limb Motion Assessment Model: Performance Validation Across Various Motion Tasks

Meng, L., Chen, M., Li, B., He, F., Xu, R., & Ming, D. (2023) · IEEE Sensors Journal · doi:10.1109/jsen.2022.3233344 · Cited by 15

Hip Joint Angles and Moments during Stair Ascent Using Neural Networks and Wearable Sensors

McCabe, M. V., Citters, D. W. V., & Chapman, D. M. F. (2023) · Bioengineering · doi:10.3390/bioengineering10070784 · Cited by 15

Where to mount the IMU? Validation of joint angle kinematics and sensor selection for activities of daily living

Uhlenberg, L., & Amft, O. (2024) · Frontiers in Computer Science · doi:10.3389/fcomp.2024.1347424 · Cited by 15

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

Islam, R., Bennasar, M., Nicholas, K., Button, K., Holland, S., Mulholland, P., Price, B. A., & Al-Amri, M. (2020) · JMIR mhealth and uhealth · doi:10.2196/17872 · Cited by 17

Development of a Wearable IMU System for Automatically Assessing Lifting Risk Factors

Lu, M., Barim, M. S., Feng, S., Hughes, G., Hayden, M. A., & Werren, D. M. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-49904-4_15 · Cited by 19

Validation of 3-Space Wireless Inertial Measurement Units Using an Industrial Robot

Hislop, J., Isaksson, M., McCormick, J., & Hensman, C. (2021) · Sensors · doi:10.3390/s21206858 · Cited by 15

The effect of fatigue on kinematics and kinetics of basketball dribbling with changes of direction

Li, F., Rupčić, T., & Knjaz, D. (2021) · Kinesiology · doi:10.26582/k.53.2.12 · Cited by 15

Posture Risk Assessment in an Automotive Assembly Line Using Inertial Sensors

Nunes, M. L., Folgado, D., Fujão, C., Silva, L., Rodrigues, J., Matias, P., Barandas, M., Carreiro, A. V., Madeira, S. C., & Gamboa, H. F. S. (2022) · IEEE Access · doi:10.1109/access.2022.3196473 · Cited by 15

Quantitative downhill skiing technique analysis according to ski instruction curricula: A proof-of-concept study applying principal component analysis on wearable sensor data

Debertin, D., Wachholz, F., Mikut, R., & Federolf, P. (2022) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2022.1003619 · Cited by 16

Power Spectrum of Acceleration and Angular Velocity Signals as Indicators of Muscle Fatigue during Upper Limb Low-Load Repetitive Tasks

Moyen-Sylvestre, B., Goubault, É., Begon, M., Côté, J. N., Bouffard, J., & Maso, F. D. (2022) · Sensors · doi:10.3390/s22208008 · Cited by 15

Validity and Reliability of Notch ® Inertial Sensors for Measure Elbow Joint Angle During Tennis Forehand at Different Sampling Frequencies.Validity and Reliability of Notch ® Inertial Sensors for Measure Elbow Joint Angle During Tennis Forehand at Different Sampling Frequencies

Ruiz‐Malagón, E. J., Delgado‐García, G., Castro-Infantes, S., Real, M. R., & Soto-Hermoso, V. M. (2022) · Measurement · doi:10.1016/j.measurement.2022.111666 · Cited by 17

Differences in Motion Accuracy of Baduanjin between Novice and Senior Students on Inertial Sensor Measurement Systems

Li, H., Khoo, S., & Yap, H. J. (2020) · Sensors · doi:10.3390/s20216258 · Cited by 14

Validation of a Commercially Available IMU-Based System Against an Optoelectronic System for Full-Body Motor Tasks

Villa, G., Cerfoglio, S., Bonfiglio, A., Capodaglio, P., Galli, M., & Cimolin, V. (2025) · Sensors · doi:10.3390/s25123736 · Cited by 13

Empowering industry 5.0: automated sensor-based ergonomic risk assessment

Ciccarelli, M., Papetti, A., & Germani, M. (2025) · International Journal on Interactive Design and Manufacturing (IJIDeM) · doi:10.1007/s12008-025-02412-5 · Cited by 13

Development of a participation assessment system based on multimodal evaluation of user responses for upper limb rehabilitation

Ödemiş, E., & Baysal, C. V. (2021) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2021.103066 · Cited by 13

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Amrein, S., Werner, C., Arnet, U., & de Vries, W. (2023) · Sensors · doi:10.3390/s23031577 · Cited by 13

The validity of a single inertial sensor to assess cervical active range of motion

English, D. J., Weerakkody, N., Zacharias, A., Green, R. A., Hocking, C., & Bini, R. R. (2023) · Journal of Biomechanics · doi:10.1016/j.jbiomech.2023.111781 · Cited by 13

Reproducibility of lower limb motion and forces during stationary submaximal pedalling using wearable motion tracking sensors

Bini, R. R., & Hume, P. A. (2020) · Sports Biomechanics · doi:10.1080/14763141.2020.1776760 · Cited by 14

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Williams, B. K., Sanders, R. H., Ryu, J. H., Graham‐Smith, P., & Sinclair, P. J. (2021) · Sports Biomechanics · doi:10.1080/14763141.2021.1892175 · Cited by 13

Recognizing Physical Activities for Spinal Cord Injury Rehabilitation Using Wearable Sensors

Alhammad, N., & Al-Dossari, H. Z. (2021) · Sensors · doi:10.3390/s21165479 · Cited by 15

Concurrent validity of DorsaVi wireless motion sensor system Version 6 and the Vicon motion analysis system during lifting

Chang, R. P., Smith, A. J., Kent, P. M., Saraceni, N., Hancock, M. J., O’Sullivan, P., & Campbell, A. (2022) · BMC Musculoskeletal Disorders · doi:10.1186/s12891-022-05866-w · Cited by 13

Capturing Joint Angles of the Off-Site Human Body

Garimella, R., Peeters, T., Beyers, K., Truijen, S., Huysmans, T., & Verwulgen, S. (2018) · Proceedings of IEEE Sensors/Proceedings of IEEE Sensors ... · doi:10.1109/icsens.2018.8589711 · Cited by 13

Comparison of Joint Kinematics in Transition Running and Isolated Running in Elite Triathletes in Overground Conditions

Fraeulin, L., Maurer, C., Holzgreve, F., Groneberg, D. A., & Ohlendorf, D. (2021) · Sensors · doi:10.3390/s21144869 · Cited by 14

Multimodal video and IMU kinematic dataset on daily life activities using affordable devices

Martínez‐Zarzuela, M., González-Alonso, J., Antón‐Rodríguez, M., Pernas, F. J. D., Müller, H., & Simón-Martínez, C. (2023) · Scientific Data · doi:10.1038/s41597-023-02554-9 · Cited by 13

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Tiedemann, S., Menrad, T., & Witte, K. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19095402 · Cited by 12

Assessment of an IMU-Based Experimental Set-Up for Upper Limb Motion in Obese Subjects

Cerfoglio, S., Lopomo, N. F., Capodaglio, P., Scalona, E., Monfrini, R., Verme, F., Galli, M., & Cimolin, V. (2023) · Sensors · doi:10.3390/s23229264 · Cited by 14

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Jeon, J. W., & Hong, J. (2021) · Journal of Back and Musculoskeletal Rehabilitation · doi:10.3233/bmr-200110 · Cited by 13

Do Blood Lactate Levels Affect the Kinematic Patterns of Jump Shots in Handball?

Belcic, I., Rodić, S., Dukarić, V., Rupčić, T., & Knjaz, D. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph182010809 · Cited by 12

Sharif-Human movement instrumentation system (SHARIF-HMIS): Development and validation

Esfahani, M. I. M., Akbari, A., Zobeiri, O. A., Rashedi, E., & Parnianpour, M. (2018) · Medical Engineering & Physics · doi:10.1016/j.medengphy.2018.07.008 · Cited by 12

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Ma, P., Bian, Q., Kim, J.-M., Alsayed, K., & Ding, Z. (2025) · Sensors · doi:10.3390/s25092899 · Cited by 11

Error-state Kalman filter for lower-limb kinematic estimation: Evaluation on a 3-body model

Potter, M. V., Cain, S. M., Ojeda, L., Gurchiek, R. D., McGinnis, R. S., & Perkins, N. C. (2021) · PLoS ONE · doi:10.1371/journal.pone.0249577 · Cited by 11

Reliability of 3D Lower Extremity Movement Analysis by Means of Inertial Sensor Technology during Transitional Tasks

van der Straaten, R., Timmermans, A. A. A., Bruijnes, A. K. B. D., Vanwanseele, B., Jonkers, I., & Baets, L. D. (2018) · Sensors · doi:10.3390/s18082638 · Cited by 11

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Young, C., Hamilton-Wright, A., Oliver, M. L., & Gordon, K. (2023) · Sensors · doi:10.3390/s23020942 · Cited by 11

Biomimetic Kagome-Gyroid interpenetrating metamaterial for tailoring lightweight and mechanical performance

Wang, C., Lu, X., Yang, X., Zuo, H., Li, M. V., Zhao, X., Peng, T., & Lu, X. (2025) · Materials & Design · doi:10.1016/j.matdes.2025.113729 · Cited by 10

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Argubi‐Wollesen, A., & Weidner, R. (2018) · Biosystems & biorobotics · doi:10.1007/978-3-030-01836-8_5 · Cited by 10

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Nakatake, J., Totoribe, K., Arakawa, H., & Chosa, E. (2021) · PLoS ONE · doi:10.1371/journal.pone.0259184 · Cited by 10

Effects of One-Step and Three-Step Run-Up on Kinematic Parameters and the Efficiency of Jump Shot in Handball

Belčić, I., Očić, M., Dukarić, V., Knjaz, D., & Zoretić, D. (2023) · Applied Sciences · doi:10.3390/app13063811 · Cited by 10

Development of an end-to-end hardware and software pipeline for affordable and feasible ergonomics assessment in the automotive industry

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Hwang, Y., Lee, S., Hong, J., & Kim, J. (2020) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2020.2974453 · Cited by 10

Concurrent Validation of 3D Joint Angles during Gymnastics Techniques Using Inertial Measurement Units

Barreto, J., Peixoto, C., Cabral, S., Williams, A. M., Casanova, F., Pedro, B., & Veloso, A. (2021) · Electronics · doi:10.3390/electronics10111251 · Cited by 14

Camera pose estimation to improve accuracy and reliability of joint angles assessed with attitude and heading reference systems

Lebel, K., Hamel, M., Duval, C., Nguyen, H., & Boissy, P. (2017) · Gait & Posture · doi:10.1016/j.gaitpost.2017.10.016 · Cited by 10

Evaluation of selected indices of gait asymmetry for the assessment of running asymmetry

Tabor, P., Iwańska, D., Grabowska, O., Karczewska-Lindinger, M., Popieluch, A., & Mastalerz, А. (2021) · Gait & Posture · doi:10.1016/j.gaitpost.2021.02.019 · Cited by 10

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Li, F., Dukarić, V., Očić, M., Li, Z., & Knjaz, D. (2024) · Applied Sciences · doi:10.3390/app14209582 · Cited by 9

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Lower limb joint-specific contributions to standing postural sway in persons with unilateral lower limb loss

Butowicz, C. M., Yoder, A. J., Farrokhi, S., Mazzone, B. N., & Hendershot, B. D. (2021) · Gait & Posture · doi:10.1016/j.gaitpost.2021.06.020 · Cited by 9

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Center of mass velocity comparison using a whole body magnetic inertial measurement unit system and force platforms in well trained sprinters in straight-line and curve sprinting

Millot, B., Blache, P., Dinu, D., Arnould, A., Jusseaume, J., Hanon, C., & SLAWINSKI, J. S. (2022) · Gait & Posture · doi:10.1016/j.gaitpost.2022.11.002 · Cited by 9

Title: Hip and lower limbs 3D motion tracking using a double-stage data fusion algorithm for IMU/MARG-based wearables sensors

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McClintock, F. A., Callaway, A. J., Clark, C., & Williams, J. M. (2024) · Applied Sciences · doi:10.3390/app14020842 · Cited by 9

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Mundt, M., Oberlack, H., Goldacre, M., Powles, J., Funken, J., Morris, C., Potthast, W., & Alderson, J. A. (2022) · Sensors · doi:10.3390/s22176522 · Cited by 9

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Landekić, M., Bačić, M., Bakarić, M., Šporčić, M., & Pandur, Z. (2023) · Forests · doi:10.3390/f14020395 · Cited by 9

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Fan, W., Zhang, Y., Wang, Q. M., Bai, Y., & Wu, Y. (2020) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-020-02173-1 · Cited by 9

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