The use of inertial sensors system for human motion analysis

Quality criteria were proposed for measurement properties of health status questionnaires

Terwee, C. B., Bot, S. D. M., de Boer, M. R., van der Windt, D. A. W. M., Knol, D. L., Dekker, J., Bouter, L. M., & de Vet, H. C. W. (2007) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2006.03.012 · Cited by 10,764

The reliability of three-dimensional kinematic gait measurements: A systematic review

McGinley, J. L., Baker, R. J., Wolfe, R. S., & Morris, M. E. (2008) · Gait & Posture · doi:10.1016/j.gaitpost.2008.09.003 · Cited by 1,155

Accelerometer and rate gyroscope measurement of kinematics: an inexpensive alternative to optical motion analysis systems

Mayagoitia, R. E., Nene, A. V., & Veltink, P. H. (2002) · Journal of Biomechanics · doi:10.1016/s0021-9290(01)00231-7 · Cited by 655

Acceleration patterns of the head and pelvis when walking on level and irregular surfaces

Menz, H. B., Lord, S. R., & Fitzpatrick, R. C. (2002) · Gait & Posture · doi:10.1016/s0966-6362(02)00159-5 · Cited by 654

Measuring orientation of human body segments using miniature gyroscopes and accelerometers

Luinge, H. J., & Veltink, P. H. (2005) · Medical & Biological Engineering & Computing · doi:10.1007/bf02345966 · Cited by 647

A practical gait analysis system using gyroscopes

Tong, K., & Granat, M. H. (1999) · Medical Engineering & Physics · doi:10.1016/s1350-4533(99)00030-2 · Cited by 460

Measurement of stand-sit and sit-stand transitions using a miniature gyroscope and its application in fall risk evaluation in the elderly

Najafi, B., Aminian, K., Loew, F., Blanc, Y., & Robert, P. A. (2002) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2002.800763 · Cited by 435

A real-time articulated human motion tracking using tri-axis inertial/magnetic sensors package

Zhu, R., & Zhou, Z. (2004) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2004.827825 · Cited by 390

Ambulatory Position and Orientation Tracking Fusing Magnetic and Inertial Sensing

Roetenberg, D., Slycke, P., & Veltink, P. H. (2007) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2006.889184 · Cited by 334

Ambulatory measurement of shoulder and elbow kinematics through inertial and magnetic sensors

Cutti, A. G., Giovanardi, A., Rocchi, L., Davalli, A., & Sacchetti, R. (2008) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-007-0296-5 · Cited by 311

Shoulder Range of Motion Measurement Using Inertial Measurement Unit–Concurrent Validity and Reliability

Kaszyński, J., Baka, C., Białecka, M., & Lubiatowski, P. (2023) · Sensors · doi:10.3390/s23177499 · Cited by 25

Methodological considerations for kinematic analysis of upper limbs in healthy and poststroke adults Part II: a systematic review of motion capture systems and kinematic metrics

Mesquita, I., Fonseca, P., Pinheiro, A. R., Correia, M. V., & Silva, C. (2019) · Topics in Stroke Rehabilitation · doi:10.1080/10749357.2019.1611221 · Cited by 25

A Novel Approach for Real-Time Gait Events Detection Using Developed Wireless Foot Sensor Module

Das, R., Hooda, N., & Kumar, N. (2019) · IEEE Sensors Letters · doi:10.1109/lsens.2019.2914719 · Cited by 24

Azure Kinect performance evaluation for human motion and upper limb biomechanical analysis

Brambilla, C., Marani, R., Romeo, L., Nicora, M. L., Storm, F. A., Reni, G., Malosio, M., D’Orazio, T., & Scano, A. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e21606 · Cited by 27

An Investigation Into the Kinematics of 2 Cervical Manipulation Techniques

Williams, J. M., & Cuesta‐Vargas, A. (2012) · Journal of Manipulative and Physiological Therapeutics · doi:10.1016/j.jmpt.2012.10.018 · Cited by 23

Method for measuring tri-axial lumbar motion angles using wearable sheet stretch sensors

Yamamoto, A., Nakamoto, H., Yamaji, T., Ootaka, H., Bessho, Y., Nakamura, R., & Ono, R. (2017) · PLoS ONE · doi:10.1371/journal.pone.0183651 · Cited by 25

Evaluation of wearable IMU performance for orientation estimation and motion tracking

Beange, K. H. E., Chan, A. D. C., & Graham, R. B. (2018) · IEEE International Symposium on Medical Measurements and Applications (MeMeA) · doi:10.1109/memea.2018.8438623 · Cited by 23

Validation of an Inertial Sensor Algorithm to Quantify Head and Trunk Movement in Healthy Young Adults and Individuals with Mild Traumatic Brain Injury

Parrington, L., Jehu, D. A., Fino, P. C., Pearson, S., El‐Gohary, M., & King, L. A. (2018) · Sensors · doi:10.3390/s18124501 · Cited by 23

Comparing inertial measurement units and marker‐based biomechanical models during dynamic rotation of the torso

Brice, S. M., Phillips, E., Millett, E. L., Hunter, A. B., & Philippa, B. W. (2019) · European Journal of Sport Science · doi:10.1080/17461391.2019.1666167 · Cited by 24

The Instrumented Timed “Up & Go” Test Distinguishes Turning Characteristics in Vestibular Hypofunction

Kim, K. J., Gimmon, Y., Millar, J. L., Brewer, K., Serrador, J. M., & Schubert, M. C. (2021) · Physical Therapy · doi:10.1093/ptj/pzab103 · Cited by 22

Human motion pattern recognition based on the fused random forest algorithm

Cai, C., Yang, C., Lu, S., Gao, G., & Na, J. (2023) · Measurement · doi:10.1016/j.measurement.2023.113540 · Cited by 22

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

Validity and reliability of a sensor-based electronic spinal mobility index for axial spondyloarthritis

Gardiner, P. V., Small, D., Esquivel, K. M., Condell, J. V., Cuesta‐Vargas, A., Williams, J. M., Machado, P., & Garrido-Castro, J. L. (2020) · Lara D. Veeken · doi:10.1093/rheumatology/keaa122 · 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

Manual patient handling in the healthcare setting: a scoping review

Johnson, K., Swinton, P. A., Pavlova, A. V., & Cooper, K. (2023) · Physiotherapy · doi:10.1016/j.physio.2023.06.003 · Cited by 24

Inertial sensor real-time feedback enhances the learning of cervical spine manipulation: a prospective study

Cuesta‐Vargas, A., & Williams, J. M. (2014) · BMC Medical Education · doi:10.1186/1472-6920-14-120 · Cited by 21

Suitability of Data Representation Domains in Expressing Human Motion Radar Signals

Jokanović, B., & Amin, M. G. (2017) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2017.2765341 · Cited by 21

Evolution of gait parameters in individuals with a lower-limb amputation during a six-minute walk test

Beausoleil, S., Miramand, L., & Turcot, K. (2019) · Gait & Posture · doi:10.1016/j.gaitpost.2019.05.022 · Cited by 21

Wearable Monitoring of Joint Angle and Muscle Activity

Cotton, R. J., & Rogers, J. A. (2019) · International Conference on Rehabilitation Robotics · doi:10.1109/icorr.2019.8779538 · Cited by 21

Person Re-Identification Using Deep Modeling of Temporally Correlated Inertial Motion Patterns

Gohar, I., Riaz, Q., Shahzad, M., Hashmi, M. Z. U. H., Tahir, H., & Haq, M. E. U. (2020) · Sensors · doi:10.3390/s20030949 · Cited by 20

Machine Learning Identifies Chronic Low Back Pain Patients from an Instrumented Trunk Bending and Return Test

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

Execution and perception of upper limb exoskeleton for stroke patients: a systematic review

Xu, P., Xia, D., Li, J., Zhou, J., & Xie, L. (2022) · Intelligent Service Robotics · doi:10.1007/s11370-022-00435-5 · Cited by 20

Functional objective parameters which may discriminate patients with mild cognitive impairment from cognitively healthy individuals: a systematic review and meta-analysis using an instrumented kinematic assessment

Fuentes-Abolafio, I. J., Stubbs, B., Perez-Belmonte, L. M., Bernal-López, M. R., Gómez‐Huelgas, R., & Vargas, A. I. C. (2020) · Age and Ageing · doi:10.1093/ageing/afaa135 · Cited by 22

Investigating concurrent validity of inertial sensors to evaluate multiplanar spine movement

Beange, K. H. E., Chan, A. D. C., & Graham, R. B. (2024) · Journal of Biomechanics · doi:10.1016/j.jbiomech.2024.111939 · Cited by 19

Effect of three types of horseshoes and unshod feet on selected non‐podal forelimb kinematic variables measured by an extremity mounted inertial measurement unit sensor system in sound horses at the trot under conditions of treadmill and soft geotextile surface exercise

Stutz, J. C., Vidondo, B., Ramseyer, A. A., Maninchedda, U. E., & Cruz, A. M. (2018) · Veterinary Record Open · doi:10.1136/vetreco-2017-000237 · Cited by 19

Between-day reliability of IMU-derived spine control metrics in patients with low back pain

Graham, R. B., Dupeyron, A., & van Dieën, J. H. (2020) · Journal of Biomechanics · doi:10.1016/j.jbiomech.2020.110080 · Cited by 18

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

PE-USGC: Posture Estimation-Based Unsupervised Spatial Gaussian Clustering for Supervised Classification of Near-Duplicate Human Motion

Iyer, H. N., & Jeong, H. (2024) · IEEE Access · doi:10.1109/access.2024.3491655 · Cited by 20

Movement Analysis with Inertial Measurement Unit Sensor After Surgical Treatment for Distal Radius Fractures

Zucchi, B., Mangone, M., Agostini, F., Paoloni, M., Petriello, L., Bernetti, A., Santilli, V., & Villani, C. (2020) · BioResearch open access · doi:10.1089/biores.2019.0035 · Cited by 18

Usability study of wearable inertial sensors for exergames (WISE) for movement assessment and exercise

RajKumar, A., Vulpi, F., Bethi, S. R., Raghavan, P., & Kapila, V. (2021) · mHealth · doi:10.21037/mhealth-19-199 · Cited by 17

Kinematic Tracking of Rehabilitation Patients With Markerless Pose Estimation Fused with Wearable Inertial Sensors

Cotton, R. J. (2020) · International Conference on Automatic Face and Gesture Recognition · doi:10.1109/fg47880.2020.00092 · Cited by 18

Measuring Spinal Mobility Using an Inertial Measurement Unit System: A Reliability Study in Axial Spondyloarthritis

O’Grady, M., O’Dwyer, T., Connolly, J., Condell, J. V., Esquivel, K. M., O'Shea, F. D., Gardiner, P. V., & Wilson, F. (2021) · Diagnostics · doi:10.3390/diagnostics11030490 · Cited by 18

Efficacy of Inertial Measurement Units in the Evaluation of Trunk and Hand Kinematics in Baseball Hitting

Punchihewa, N. G., Miyazaki, S., Chosa, E., & Yamako, G. (2020) · Sensors · doi:10.3390/s20247331 · Cited by 18

Reliability and validity of instrumented soccer equipment

Akins, J. S., Heebner, N. R., Lovalekar, M., & Sell, T. C. (2015) · Journal of Applied Biomechanics · doi:10.1123/jab.2014-0191 · Cited by 17

Assessing the Reliability and Validity of Inertial Measurement Units to Measure Three-Dimensional Spine and Hip Kinematics During Clinical Movement Tasks

Bailes, A. H., Johnson, M. E., Roos, R., Clark, W. W., Cook, H. A., McKernan, G., Sowa, G., Cham, R., & Bell, K. M. (2024) · Sensors · doi:10.3390/s24206580 · Cited by 17

Arbitrary Spatial Trajectory Reconstruction Based on a Single Inertial Sensor

Wang, Y., & Zhao, Y. (2023) · IEEE Sensors Journal · doi:10.1109/jsen.2023.3257867 · Cited by 17

Pattern Recognition in Cyclic and Discrete Skills Performance from Inertial Measurement Units

Seifert, L., L’Hermette, M., Komar, J., Orth, D., Mell, F., Merriaux, P., Grenet, P., Caritu, Y., Hérault, R., Dovgalecs, V., et al. (2014) · Procedia Engineering · doi:10.1016/j.proeng.2014.06.033 · 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

Simultaneous Detection of Displacement, Rotation Angle, and Contact Pressure Using Sandpaper Molded Elastomer Based Triple Electrode Sensor

Choi, E., Sul, O., & Lee, S. (2017) · Sensors · doi:10.3390/s17092040 · Cited by 17

Applying Wearable Technology and a Deep Learning Model to Predict Occupational Physical Activities

Yan, Y., Fan, H., Li, Y., Hoeglinger, E., Wiesinger, A., Barr, A. B., O’Connell, G. D., & Adamson, C. H. (2021) · Applied Sciences · doi:10.3390/app11209636 · Cited by 16

Smart sensor tights: Movement tracking of the lower limbs in football

Steijlen, A. S. M., Burgers, B., Wilmes, E., Bastemeijer, J., Bastiaansen, B. J. C., French, P. J., Bossche, A., & Jansen, K. M. B. (2021) · Wearable Technologies · doi:10.1017/wtc.2021.16 · Cited by 16

Absolute and Relative Reliability of the Assessment of the Muscle Mechanical Properties of Pelvic Floor Muscles in Women with and without Urinary Incontinence

Rodrigues‐de‐Souza, D. P., Alcaraz-Clariana, S., García-Luque, L., Carmona-Pérez, C., Garrido-Castro, J. L., Cruz-Medel, I., Camargo, P. R., & Alburquerque‐Sendín, F. (2021) · Diagnostics · doi:10.3390/diagnostics11122315 · Cited by 16

Characterization of Musculoskeletal Injury Risk in Dungeness Crab Fishing

Kim, J. H., Vaughan, A. M., & Kincl, L. D. (2022) · Journal of Agromedicine · doi:10.1080/1059924x.2022.2068715 · Cited by 16

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

The Validity and Usability of Markerless Motion Capture and Inertial Measurement Units for Quantifying Dynamic Movements

Edwards, N. A., Caccese, J. B., Tracy, R., Hagen, J. A., Quatman‐Yates, C. C., & Oñate, J. A. (2024) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000003579 · Cited by 16

Repeatability of gait pattern variables measured by use of extremity-mounted inertial measurement units in nonlame horses during trotting

Cruz, A. M., Maninchedda, U. E., Burger, D., Wanda, S., & Vidondo, B. (2017) · American Journal of Veterinary Research · doi:10.2460/ajvr.78.9.1011 · Cited by 16

Validation, Reliability, and Responsiveness Outcomes of Kinematic Assessment with an RGB-D Camera to Analyze Movement in Subacute and Chronic Low Back Pain

Trinidad‐Fernández, M., Beckwée, D., Cuesta‐Vargas, A., González‐Sánchez, M., Moreno, F.-Á., González-Jiménez, J., Joos, E., & Vaes, P. (2020) · Sensors · doi:10.3390/s20030689 · Cited by 16

Functional parameters indicative of mild cognitive impairment: a systematic review using instrumented kinematic assessment

Fuentes-Abolafio, I. J., Stubbs, B., Perez-Belmonte, L. M., Bernal-López, M. R., Gómez‐Huelgas, R., & Vargas, A. I. C. (2020) · BMC Geriatrics · doi:10.1186/s12877-020-01678-6 · Cited by 19

Evaluation of Inertial Sensor Data by a Comparison with Optical Motion Capture Data of Guitar Strumming Gestures

Freire, S., Santos, G., Armondes, A., Meneses, E., & Wanderley, M. M. (2020) · Sensors · doi:10.3390/s20195722 · Cited by 16

Outdoor activity classification using smartphone based inertial sensor measurements

Bodhe, R., Sivakumar, S., Sakarkar, G., Juwono, F. H., & Apriono, C. (2024) · Multimedia Tools and Applications · doi:10.1007/s11042-024-18599-w · Cited by 17

Quantifying change of direction load using positional data from small-sided games in soccer

Merks, B. M. T., Frencken, W. G. P., den Otter, R., & Brink, M. S. (2021) · Science and Medicine in Football · doi:10.1080/24733938.2021.1912382 · Cited by 15

Joint angles tracking for rehabilitation at home using inertial sensors

Pereira, A., Guimar�ães, V., & Sousa, I. (2017) · International Conference on Pervasive Computing Technologies for Healthcare · doi:10.1145/3154862.3154888 · Cited by 15

Human-Robot Collaboration (HRC) Technologies for Reducing Work-Related Musculoskeletal Diseases in Industry 4.0

Ranavolo, A., Chini, G., Draicchio, F., Silvetti, A., Varrecchia, T., Fiori, L., Tatarelli, A., Rosen, P. H., Wischniewski, S., Albrecht, P., et al. (2021) · Lecture notes in networks and systems · doi:10.1007/978-3-030-74614-8_40 · Cited by 15

IMU-Based quantitative assessment of stroke from gait

Sun, Y., Song, Z., Mo, L., Li, B., Liang, F., Yin, M., & Wang, D. (2025) · Scientific Reports · doi:10.1038/s41598-025-94167-y · Cited by 14

Effectiveness of a cardiac rehabilitation program on biomechanical, imaging, and physiological biomarkers in elderly patients with heart failure with preserved ejection fraction (HFpEF): FUNNEL + study protocol

Cuesta‐Vargas, A., Fuentes-Abolafio, I. J., García-Conejo, C., Díaz-Balboa, E., Trinidad‐Fernández, M., Sánchez, D. G., Escriche-Escuder, A., Cobos-Palacios, L., Sampalo, A. L., Pérez-Ruiz, J. M., et al. (2023) · BMC Cardiovascular Disorders · doi:10.1186/s12872-023-03555-7 · Cited by 14

Psychomotor Learning in Martial Arts

Santos, O. C. (2017) · ACM Conference on User Modeling, Adaptation and Personalization (UMAP) · doi:10.1145/3099023.3099107 · Cited by 14

Quantification of functional hand grip using electromyography and inertial sensor-derived accelerations: clinical implications

Martín‐Martín, J., & Cuesta‐Vargas, A. (2014) · BioMedical Engineering OnLine · doi:10.1186/1475-925x-13-161 · Cited by 14

Motion detection supported exercise therapy in musculoskeletal disorders: a systematic review

Verbrugghe, J., Knippenberg, E., Palmaers, S., Matheve, T., Smeets, W., Feys, P., Spooren, A. I. F., & Timmermans, A. A. A. (2018) · European Journal of Physical and Rehabilitation Medicine · doi:10.23736/s1973-9087.18.04614-2 · Cited by 14

Joint kinematics alone can distinguish hip or knee osteoarthritis patients from asymptomatic controls with high accuracy

Emmerzaal, J., Rossom, S. V., van der Straaten, R., Brabandere, A. D., Corten, K., Baets, L. D., Davis, J., Jonkers, I., Timmermans, A. A. A., & Vanwanseele, B. (2022) · Journal of Orthopaedic Research® · doi:10.1002/jor.25269 · Cited by 14

Comparison of kinematic variables obtained by inertial sensors among stroke survivors and healthy older adults in the Functional Reach Test: cross-sectional study

Merchán-Baeza, J. A., González‐Sánchez, M., & Vargas, A. I. C. (2015) · BioMedical Engineering OnLine · doi:10.1186/s12938-015-0047-z · Cited by 13

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

mmWave Radar for Sit-to-Stand Analysis: A Comparative Study With Wearables and Kinect

Hu, S., Ackun, P., Zhang, X., Cao, S., Barton, J. K., Hector, M. G., Fain, M. J., & Toosizadeh, N. (2025) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2025.3548092 · Cited by 12

BEAGLE—A Kinematic Sensory System for Objective Hand Function Assessment in Technology-Mediated Rehabilitation

Malesevic, J. M., Kostic, M. D., Kojić, V., Djordjević, O. C., Konstantinović, L. M., Keller, T., & Strbac, M. D. (2021) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2021.3108848 · Cited by 12

The validity of using inertial measurement units to monitor the torso and pelvis sagittal plane motion of elite rowers

Brice, S. M., Millett, E. L., & Philippa, B. W. (2022) · Journal of Sports Sciences · doi:10.1080/02640414.2022.2042146 · Cited by 13

Studying upper-limb kinematics using inertial sensors: a cross-sectional study

Roldán‐Jiménez, C., & Cuesta‐Vargas, A. (2015) · BMC Research Notes · doi:10.1186/s13104-015-1517-x · Cited by 12

Validity and reliability of an activity monitor to quantify arm movements and activity in adults following distal radius fracture

Bruder, A. M., McClelland, J. A., Shields, N., Dodd, K., Hau, R., van de Water, A. T. M., & Taylor, N. F. (2017) · Disability and Rehabilitation · doi:10.1080/09638288.2017.1288764 · Cited by 13

Sensor Based Agility Assessment in Sport

Hribernik, M., Keš, E., Umek, A., & Kos, A. (2021) · Procedia Computer Science · doi:10.1016/j.procs.2021.04.082 · Cited by 12

Novel, clinically applicable method to measure step-width during the swing phase of gait

Bäcklund, T., Öhberg, F., Johansson, G. M., Grip, H., & Sundström, N. (2020) · Physiological Measurement · doi:10.1088/1361-6579/ab95ed · Cited by 11

Validity and reliability of innovative field measurements of tibial accelerations and spinal kinematics during cricket fast bowling

Senington, B., Lee, R. Y., & Williams, J. M. (2021) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-021-02381-3 · Cited by 11

Reliability Study of Inertial Sensors LIS2DH12 Compared to ActiGraph GT9X: Based on Free Code

Martín‐Martín, J., Jiménez‐Partinen, A., De-Torres, I., Escriche-Escuder, A., González‐Sánchez, M., Muro-Culebras, A., Roldán‐Jiménez, C., Ruiz‐Muñoz, M., Mayoral, F., Biró, A., et al. (2022) · Journal of Personalized Medicine · doi:10.3390/jpm12050749 · Cited by 11

Kinematic Parameters That Can Discriminate in Levels of Functionality in the Six-Minute Walk Test in Patients with Heart Failure with a Preserved Ejection Fraction

Fuentes-Abolafio, I. J., Trinidad‐Fernández, M., Escriche-Escuder, A., Roldán‐Jiménez, C., Arjona-Caballero, J. M., Bernal-López, M. R., Ricci, M., Gómez‐Huelgas, R., Perez-Belmonte, L. M., & Vargas, A. I. C. (2022) · Journal of Clinical Medicine · doi:10.3390/jcm12010241 · Cited by 10

Full-body movement pattern recognition in climbing

Seifert, L., Dovgalecs, V., Boulanger, J., Orth, D., Hérault, R., & Davids, K. (2014) · Sports Technology · doi:10.1080/19346182.2014.968250 · Cited by 11

Predicting Directly Measured Trunk and Upper Arm Postures in Paper Mill Work From Administrative Data, Workers’ Ratings and Posture Observations

Heiden, M., Garza, J. L. B., Trask, C., & Mathiassen, S. E. (2016) · Annals of Work Exposures and Health · doi:10.1093/annweh/wxw026 · Cited by 11

Reliability of a Smartphone Compared With an Inertial Sensor to Measure Shoulder Mobility: Cross-Sectional Study

Roldán‐Jiménez, C., Martín‐Martín, J., & Cuesta‐Vargas, A. (2019) · JMIR mhealth and uhealth · doi:10.2196/13640 · Cited by 11

Towards Proximity Tracking and Sensemaking for Supporting Teamwork and Learning

Martínez-Maldonado, R., Yacef, K., dos Santos, A. D. P., Shum, S., Echeverría, V., Santos, O., & Pechenizkiy, M. (2017) · International Conference on Advanced Learning Technologies · doi:10.1109/icalt.2017.79 · Cited by 11

An exploration of the use of Inertial Measurement Units in the assessment of dynamic postural control of the knee and the effect of bracing and taping

Budini, K., Richards, J., Cole, T., Levine, D. F., Filho, R. G. T., George, L. S., & Selfe, J. (2018) · Physiotherapy Practice and Research · doi:10.3233/ppr-180111 · Cited by 11

A Survey of the Diagnosis of Peripheral Neuropathy Using Intelligent and Wearable Systems

Talha, M., Kyrarini, M., & Ali, E. (2023) · Technologies · doi:10.3390/technologies11060163 · Cited by 11

Validation of Pelvis and Trunk Range of Motion as Assessed Using Inertial Measurement Units

Ali, F., Hogen, C. A., Miller, E. J., & Kaufman, K. R. (2024) · Bioengineering · doi:10.3390/bioengineering11070659 · Cited by 11

Validity Analysis of Monocular Human Pose Estimation Models Interfaced with a Mobile Application for Assessing Upper Limb Range of Motion

Moreira, R., Teixeira, S. S., Fialho, R., da Conceição, A. M., Lima, L. D. B., de Carvalho, M. B. S., Alves, A. B., Bastos, V. H., & Teles, A. S. (2024) · Sensors · doi:10.3390/s24247983 · Cited by 11

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

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