{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T18:27:57Z","timestamp":1770748077289,"version":"3.49.0"},"reference-count":82,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2022,4,24]],"date-time":"2022-04-24T00:00:00Z","timestamp":1650758400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003130","name":"Research Foundation - Flanders","doi-asserted-by":"publisher","award":["T004716N"],"award-info":[{"award-number":["T004716N"]}],"id":[{"id":"10.13039\/501100003130","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003130","name":"Research Foundation - Flanders","doi-asserted-by":"publisher","award":["G0E4521N"],"award-info":[{"award-number":["G0E4521N"]}],"id":[{"id":"10.13039\/501100003130","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004040","name":"KU Leuven","doi-asserted-by":"publisher","award":["3M200591"],"award-info":[{"award-number":["3M200591"]}],"id":[{"id":"10.13039\/501100004040","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Inertial capture (InCap) systems combined with musculoskeletal (MSK) models are an attractive option for monitoring 3D joint kinematics in an ecological context. However, the primary limiting factor is the sensor-to-segment calibration, which is crucial to estimate the body segment orientations. Walking, running, and stair ascent and descent trials were measured in eleven healthy subjects with the Xsens InCap system and the Vicon 3D motion capture (MoCap) system at a self-selected speed. A novel integrated method that combines previous sensor-to-segment calibration approaches was developed for use in a MSK model with three degree of freedom (DOF) hip and knee joints. The following were compared: RMSE, range of motion (ROM), peaks, and R2 between InCap kinematics estimated with different calibration methods and gold standard MoCap kinematics. The integrated method reduced the RSME for both the hip and the knee joints below 5\u00b0, and no statistically significant differences were found between MoCap and InCap kinematics. This was consistent across all the different analyzed movements. The developed method was integrated on an MSK model workflow, and it increased the sensor-to-segment calibration accuracy for an accurate estimate of 3D joint kinematics compared to MoCap, guaranteeing a clinical easy-to-use approach.<\/jats:p>","DOI":"10.3390\/s22093259","type":"journal-article","created":{"date-parts":[[2022,4,24]],"date-time":"2022-04-24T22:22:41Z","timestamp":1650838961000},"page":"3259","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":24,"title":["Inertial Sensor-to-Segment Calibration for Accurate 3D Joint Angle Calculation for Use in OpenSim"],"prefix":"10.3390","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6251-0637","authenticated-orcid":false,"given":"Giacomo","family":"Di Raimondo","sequence":"first","affiliation":[{"name":"Department of Movement Sciences, Katholieke Universiteit Leuven, 3001 Leuven, Belgium"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6158-9483","authenticated-orcid":false,"given":"Benedicte","family":"Vanwanseele","sequence":"additional","affiliation":[{"name":"Department of Movement Sciences, Katholieke Universiteit Leuven, 3001 Leuven, Belgium"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7770-5269","authenticated-orcid":false,"given":"Arthur","family":"van der Have","sequence":"additional","affiliation":[{"name":"Department of Movement Sciences, Katholieke Universiteit Leuven, 3001 Leuven, Belgium"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9218-7604","authenticated-orcid":false,"given":"Jill","family":"Emmerzaal","sequence":"additional","affiliation":[{"name":"Department of Movement Sciences, Katholieke Universiteit Leuven, 3001 Leuven, Belgium"}]},{"given":"Miel","family":"Willems","sequence":"additional","affiliation":[{"name":"Department of Movement Sciences, Katholieke Universiteit Leuven, 3001 Leuven, Belgium"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6389-2497","authenticated-orcid":false,"given":"Bryce Adrian","family":"Killen","sequence":"additional","affiliation":[{"name":"Department of Movement Sciences, Katholieke Universiteit Leuven, 3001 Leuven, Belgium"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7611-3747","authenticated-orcid":false,"given":"Ilse","family":"Jonkers","sequence":"additional","affiliation":[{"name":"Department of Movement Sciences, Katholieke Universiteit Leuven, 3001 Leuven, Belgium"}]}],"member":"1968","published-online":{"date-parts":[[2022,4,24]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"814","DOI":"10.1016\/j.knee.2018.05.014","article-title":"Gait retraining using real-time feedback in patients with medial knee osteoarthritis: Feasibility and effects of a six-week gait training program","volume":"25","author":"Richards","year":"2018","journal-title":"Knee"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1016\/j.jbiomech.2019.02.027","article-title":"Proximal gait adaptations in individuals with knee osteoarthritis: A systematic review and meta-analysis","volume":"87","author":"Iijima","year":"2019","journal-title":"J. Biomech."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"78","DOI":"10.1186\/s12984-018-0419-2","article-title":"Validation of wearable visual feedback for retraining foot progression angle using inertial sensors and an augmented reality headset","volume":"15","author":"Karatsidis","year":"2018","journal-title":"J. Neuroeng. Rehabil."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"828","DOI":"10.1016\/j.clinbiomech.2014.05.005","article-title":"Individual selection of gait retraining strategies is essential to optimally reduce medial knee load during gait","volume":"29","author":"Gerbrands","year":"2014","journal-title":"Clin. Biomech."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"2208","DOI":"10.1016\/j.jbiomech.2010.03.040","article-title":"Gait retraining to reduce the knee adduction moment through real-time visual feedback of dynamic knee alignment","volume":"43","author":"Barrios","year":"2010","journal-title":"J. Biomech."},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Lee, S.I., and Eskofier, B.M. (2018). Special issue on wearable computing and machine learning for applications in sports, health, and medical engineering. Appl. Sci., 8.","DOI":"10.3390\/app8020167"},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Adesida, Y., Papi, E., and McGregor, A.H. (2019). Exploring the role of wearable technology in sport kinematics and kinetics: A systematic review. Sensors, 19.","DOI":"10.3390\/s19071597"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"S166","DOI":"10.1080\/10255842.2020.1714227","article-title":"Pelvis and hip calibration methods for movement analysis with inertial sensors","volume":"22","author":"Pacher","year":"2019","journal-title":"Comput. Methods Biomech. Biomed. Eng."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"239","DOI":"10.1016\/j.gaitpost.2016.11.008","article-title":"25 years of lower limb joint kinematics by using inertial and magnetic sensors: A review of methodological approaches","volume":"51","author":"Picerno","year":"2017","journal-title":"Gait Posture"},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Weygers, I., Kok, M., Konings, M., Hallez, H., De Vroey, H., and Claeys, K. (2020). Inertial sensor-based lower limb joint kinematics: A methodological systematic review. Sensors, 20.","DOI":"10.3390\/s20030673"},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Poitras, I., Dupuis, F., Bielmann, M., Campeau-Lecours, A., Mercier, C., Bouyer, L.J., and Roy, J.-S. (2019). Validity and reliability of wearable sensors for joint angle estimation: A systematic review. Sensors, 19.","DOI":"10.3390\/s19071555"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"1478","DOI":"10.1109\/TBME.2005.851475","article-title":"A new approach to accurate measurement of uniaxial joint angles based on a combination of accelerometers and gyroscopes","volume":"52","author":"Dejnabadi","year":"2005","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"641","DOI":"10.1080\/17434440.2016.1198694","article-title":"Wearable inertial sensors for human movement analysis","volume":"13","author":"Iosa","year":"2016","journal-title":"Expert Rev. Med. Devices"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"421","DOI":"10.1016\/j.jbspin.2009.12.009","article-title":"Gait analysis as a quantifiable outcome measure in hip or knee osteoarthritis: A systematic review","volume":"77","author":"Ornetti","year":"2010","journal-title":"Jt. Bone Spine"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"124","DOI":"10.1016\/j.gaitpost.2018.04.047","article-title":"The use of wearable devices for walking and running gait analysis outside of the lab: A systematic review","volume":"63","author":"Benson","year":"2018","journal-title":"Gait Posture"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"104","DOI":"10.1016\/j.gaitpost.2017.01.013","article-title":"Differences in knee adduction moment between healthy subjects and patients with osteoarthritis depend on the knee axis definition","volume":"53","author":"Meireles","year":"2017","journal-title":"Gait Posture"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"907","DOI":"10.1016\/S0021-9290(01)00036-7","article-title":"Gait characteristics of patients with knee osteoarthritis","volume":"34","author":"Kaufman","year":"2001","journal-title":"J. Biomech."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"612","DOI":"10.1007\/s00167-005-0005-6","article-title":"The influence of walking speed on gait parameters in healthy people and in patients with osteoarthritis","volume":"14","author":"Bejek","year":"2006","journal-title":"Knee Surgery, Sports Traumatol. Arthrosc."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"6231406","DOI":"10.1155\/2021\/6231406","article-title":"A Comparison of Dynamic and Static Hip-Knee-Ankle Angle during Gait in Knee Osteoarthritis Patients and Healthy Individuals","volume":"2021","author":"Zhang","year":"2021","journal-title":"Appl. Bionics Biomech."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"1051","DOI":"10.1016\/j.clinbiomech.2006.06.010","article-title":"Role of knee kinematics and kinetics on performance and disability in people with medial compartment knee osteoarthritis","volume":"21","author":"Maly","year":"2006","journal-title":"Clin. Biomech."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"1422","DOI":"10.2522\/ptj.20060137","article-title":"Age-related changes in strength, joint laxity, and walking patterns: Are they related to knee osteoarthritis?","volume":"87","author":"Rudolph","year":"2007","journal-title":"Phys. Ther."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"1003","DOI":"10.1016\/j.clinbiomech.2010.07.012","article-title":"A biomechanical analysis of trunk and pelvis motion during gait in subjects with knee osteoarthritis compared to control subjects","volume":"25","author":"Linley","year":"2010","journal-title":"Clin. Biomech."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"26","DOI":"10.1016\/j.jbiomech.2017.10.030","article-title":"A gait retraining system using augmented-reality to modify footprint parameters: Effects on lower-limb sagittal-plane kinematics","volume":"66","author":"Bennour","year":"2018","journal-title":"J. Biomech."},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Pacher, L., Chatellier, C., Vauzelle, R., and Fradet, L. (2020). Sensor-to-segment calibration methodologies for lower-body kinematic analysis with inertial sensors: A systematic review. Sensors, 20.","DOI":"10.3390\/s20113322"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"132","DOI":"10.1016\/j.gaitpost.2020.01.029","article-title":"Inertial motion capture validation of 3D knee kinematics at various gait speed on the treadmill with a double-pose calibration","volume":"77","author":"Parent","year":"2020","journal-title":"Gait Posture"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"2543","DOI":"10.1109\/JSEN.2021.3137305","article-title":"Effects of IMU Sensor-to-Segment Misalignment and Orientation Error on 3D Knee Joint Angle Estimation","volume":"22","author":"Fan","year":"2021","journal-title":"IEEE Sens. J."},{"key":"ref_27","unstructured":"Paulich, M., Schepers, M., Rudigkeit, N., and Bellusci, G. (2018). Xsens MTw Awinda: Miniature Wireless Inertial-Magnetic Motion Tracker for Highly Accurate 3D Kinematic Applications. Xsens Technol., 1\u20139."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"251","DOI":"10.1016\/j.jbmt.2020.06.008","article-title":"Concurrent validity and within-session reliability of gait kinematics measured using an inertial motion capture system with repeated calibration","volume":"24","author":"Berner","year":"2020","journal-title":"J. Bodyw. Mov. Ther."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"110549","DOI":"10.1016\/j.jbiomech.2021.110549","article-title":"IMU-based knee flexion, abduction and internal rotation estimation during drop landing and cutting tasks","volume":"124","author":"Fan","year":"2021","journal-title":"J. Biomech."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"2745","DOI":"10.1016\/j.jbiomech.2013.07.029","article-title":"A novel method for assessing the 3-D orientation accuracy of inertial\/magnetic sensors","volume":"46","author":"Faber","year":"2013","journal-title":"J. Biomech."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"1940","DOI":"10.1109\/TBME.2007.901024","article-title":"OpenSim: Open-source software to create and analyze dynamic simulations of movement","volume":"54","author":"Delp","year":"2007","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1186\/s12984-022-01001-x","article-title":"OpenSense: An open-source toolbox for inertial-measurement-unit-based measurement of lower extremity kinematics over long durations","volume":"19","author":"Ibarra","year":"2022","journal-title":"J. Neuroeng. Rehabil."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"592","DOI":"10.1007\/s00167-005-0023-4","article-title":"A new ambulatory system for comparative evaluation of the three-dimensional knee kinematics, applied to anterior cruciate ligament injuries","volume":"14","author":"Favre","year":"2006","journal-title":"Knee Surg. Sports Traumatol. Arthrosc."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"1029","DOI":"10.1016\/j.jbiomech.2007.12.003","article-title":"Ambulatory measurement of 3D knee joint angle","volume":"41","author":"Favre","year":"2008","journal-title":"J. Biomech."},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Cordillet, S., Bideau, N., Bideau, B., and Nicolas, G. (2019). Estimation of 3D knee joint angles during cycling using inertial sensors: Accuracy of a novel sensor-to-segment calibration procedure based on pedaling motion. Sensors, 19.","DOI":"10.3390\/s19112474"},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Fasel, B., Sp\u00f6rri, J., Sch\u00fctz, P., Lorenzetti, S., and Aminian, K. (2017). Validation of functional calibration and strap-down joint drift correction for computing 3D joint angles of knee, hip, and trunk in alpine skiing. PLoS ONE, 12.","DOI":"10.1371\/journal.pone.0181446"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"850","DOI":"10.3389\/fphys.2017.00850","article-title":"An inertial sensor-based method for estimating the athlete\u2019s relative joint center positions and center of mass kinematics in alpine ski racing","volume":"8","author":"Fasel","year":"2017","journal-title":"Front. Physiol."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"588","DOI":"10.1016\/j.gaitpost.2008.04.003","article-title":"Joint kinematics estimate using wearable inertial and magnetic sensing modules","volume":"28","author":"Picerno","year":"2008","journal-title":"Gait Posture"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"14449","DOI":"10.1038\/s41598-019-50759-z","article-title":"Upper limb joint kinematics using wearable magnetic and inertial measurement units: An anatomical calibration procedure based on bony landmark identification","volume":"9","author":"Picerno","year":"2019","journal-title":"Sci. Rep."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1016\/j.measurement.2014.03.004","article-title":"Experimental evaluation of accuracy and repeatability of a novel body-to-sensor calibration procedure for inertial sensor-based gait analysis","volume":"52","author":"Palermo","year":"2014","journal-title":"Meas. J. Int. Meas. Confed."},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"LeBleu, J., Gosseye, T., Detrembleur, C., Mahaudens, P., Cartiaux, O., and Penta, M. (2020). Lower limb kinematics using inertial sensors during locomotion: Accuracy and reproducibility of joint angle calculations with different sensor-to-segment calibrations. Sensors, 20.","DOI":"10.3390\/s20030715"},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Rosso, V., Agostini, V., Takeda, R., Tadano, S., and Gastaldi, L. (2019). Influence of BMI on gait characteristics of young adults: 3D evaluation using inertial sensors. Sensors, 19.","DOI":"10.3390\/s19194221"},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"Versteyhe, M., De Vroey, H., DeBrouwere, F., Hallez, H., and Claeys, K. (2020). A novel method to estimate the full knee joint kinematics using low cost IMU sensors for easy to implement low cost diagnostics. Sensors, 20.","DOI":"10.3390\/s20061683"},{"key":"ref_44","first-page":"1","article-title":"Xsens MVN: Full 6DOF human motion tracking using miniature inertial sensors","volume":"1","author":"Roetenberg","year":"2009","journal-title":"Xsens Motion Technol. BV Technol. Rep."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"2709","DOI":"10.1016\/j.jbiomech.2010.06.025","article-title":"Muscle contributions to propulsion and support during running","volume":"43","author":"Hamner","year":"2010","journal-title":"J. Biomech."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"224","DOI":"10.1016\/j.jbiomech.2019.01.027","article-title":"Sensor-to-body calibration procedure for clinical motion analysis of lower limb using magnetic and inertial measurement units","volume":"85","author":"Nazarahari","year":"2019","journal-title":"J. Biomech."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1109\/JBHI.2017.2659758","article-title":"Joint Inertial Sensor Orientation Drift Reduction for Highly Dynamic Movements","volume":"22","author":"Fasel","year":"2018","journal-title":"IEEE J. Biomed. Health Inform."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"12465","DOI":"10.1109\/JSEN.2019.2939981","article-title":"Semi-Automatic Sensor-to-Body Calibration of Inertial Sensors on Lower Limb Using Gait Recording","volume":"19","author":"Nazarahari","year":"2019","journal-title":"IEEE Sens. J."},{"key":"ref_49","first-page":"1","article-title":"Xsens MVN: Consistent tracking of human motion using inertial sensing","volume":"1","author":"Schepers","year":"2018","journal-title":"Xsens Technol."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"543","DOI":"10.1016\/S0021-9290(01)00222-6","article-title":"ISB recommendation on definitions of joint coordinate system of various joints for the reporting of human joint motion-Part I: Ankle, hip, and spine","volume":"35","author":"Wu","year":"2002","journal-title":"J. Biomech."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"981","DOI":"10.1016\/j.jbiomech.2004.05.042","article-title":"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","volume":"38","author":"Wu","year":"2005","journal-title":"J. Biomech."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"S220","DOI":"10.1016\/j.pmrj.2018.06.013","article-title":"Wearable Movement Sensors for Rehabilitation: A Focused Review of Technological and Clinical Advances","volume":"10","author":"Porciuncula","year":"2018","journal-title":"PM&R"},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"94","DOI":"10.1186\/s12984-017-0309-z","article-title":"Wearable sensors to predict improvement following an exercise intervention in patients with knee osteoarthritis","volume":"14","author":"Kobsar","year":"2017","journal-title":"J. Neuroeng. Rehabil."},{"key":"ref_54","doi-asserted-by":"crossref","unstructured":"Zrenner, M., Gradl, S., Jensen, U., Ullrich, M., and Eskofier, B.M. (2018). Comparison of different algorithms for calculating velocity and stride length in running using inertial measurement units. Sensors, 18.","DOI":"10.3390\/s18124194"},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1007\/s11517-009-0545-x","article-title":"\u2018Outwalk\u2019: A protocol for clinical gait analysis based on inertial and magnetic sensors","volume":"48","author":"Cutti","year":"2010","journal-title":"Med. Biol. Eng. Comput."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"106","DOI":"10.1016\/j.jbiomech.2017.01.024","article-title":"A novel functional calibration method for real-time elbow joint angles estimation with magnetic-inertial sensors","volume":"54","author":"Ligorio","year":"2017","journal-title":"J. Biomech."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"6891","DOI":"10.3390\/s140406891","article-title":"IMU-based joint angle measurement for gait analysis","volume":"14","author":"Seel","year":"2014","journal-title":"Sensors"},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"1926","DOI":"10.1016\/j.jbiomech.2005.05.013","article-title":"A reproducible method for studying three-dimensional knee kinematics","volume":"38","author":"Hagemeister","year":"2005","journal-title":"J. Biomech."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"176","DOI":"10.1007\/s11465-014-0306-x","article-title":"Biomechanics of knee joint\u2014A review","volume":"10","author":"Madeti","year":"2015","journal-title":"Front. Mech. Eng."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"372","DOI":"10.1016\/j.clinbiomech.2009.02.001","article-title":"Differences in gait parameters between healthy subjects and persons with moderate and severe knee osteoarthritis: A result of altered walking speed?","volume":"24","author":"Zeni","year":"2009","journal-title":"Clin. Biomech."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"229","DOI":"10.1016\/j.gaitpost.2017.10.005","article-title":"Mobile assessment of the lower limb kinematics in healthy persons and in persons with degenerative knee disorders: A systematic review","volume":"59","author":"Jonkers","year":"2018","journal-title":"Gait Posture"},{"key":"ref_62","doi-asserted-by":"crossref","unstructured":"Mj\u00f8sund, H.L., Boyle, E., Kjaer, P., Mieritz, R.M., Skallg\u00e5rd, T., and Kent, P. (2017). Clinically acceptable agreement between the ViMove wireless motion sensor system and the Vicon motion capture system when measuring lumbar region inclination motion in the sagittal and coronal planes. BMC Musculoskelet. Disord., 18.","DOI":"10.1186\/s12891-017-1489-1"},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"3777","DOI":"10.1109\/JSEN.2019.2960320","article-title":"Wearable Inertial Sensors for Range of Motion Assessment","volume":"20","author":"RajKumar","year":"2020","journal-title":"IEEE Sens. J."},{"key":"ref_64","doi-asserted-by":"crossref","unstructured":"Teufl, W., Miezal, M., Taetz, B., Fr\u00f6hlich, M., and Bleser, G. (2019). Validity of inertial sensor based 3D joint kinematics of static and dynamic sport and physiotherapy specific movements. PLoS ONE, 14.","DOI":"10.1371\/journal.pone.0213064"},{"key":"ref_65","doi-asserted-by":"crossref","unstructured":"Adamowicz, L., Gurchiek, R.D., Ferri, J., Ursiny, A.T., Fiorentino, N., and McGinnis, R.S. (2019). Validation of novel relative orientation and inertial sensor-to-segment alignment algorithms for estimating 3D hip joint angles. Sensors, 19.","DOI":"10.3390\/s19235143"},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1186\/1476-5918-8-3","article-title":"A portable system for collecting anatomical joint angles during stair ascent: A comparison with an optical tracking device","volume":"8","author":"Bergmann","year":"2009","journal-title":"Dyn. Med."},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"555","DOI":"10.1260\/2040-2295.4.4.555","article-title":"Measurement of lower limb joint kinematics using inertial sensors during stair ascent and descent in healthy older adults and stroke survivors","volume":"4","author":"Laudanski","year":"2013","journal-title":"J. Health Eng."},{"key":"ref_68","doi-asserted-by":"crossref","unstructured":"Duong, T.T.H., Zhang, H., Lynch, T.S., and Zanotto, D. (2019, January 24\u201328). Improving the accuracy of wearable sensors for human locomotion tracking using phase-locked regression models. Proceedings of the IEEE 16th International Conference on Rehabilitation Robotics (ICORR), Toronto, ON, Canada.","DOI":"10.1109\/ICORR.2019.8779428"},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"692","DOI":"10.1016\/j.jbiomech.2011.11.057","article-title":"A neural network model to predict knee adduction moment during walking based on ground reaction force and anthropometric measurements","volume":"45","author":"Favre","year":"2012","journal-title":"J. Biomech."},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"122","DOI":"10.1016\/j.jbiomech.2012.10.019","article-title":"Toe-in gait reduces the first peak knee adduction moment in patients with medial compartment knee osteoarthritis","volume":"46","author":"Shull","year":"2013","journal-title":"J. Biomech."},{"key":"ref_71","doi-asserted-by":"crossref","unstructured":"Karatsidis, A., Bellusci, G., Schepers, H.M., De Zee, M., Andersen, M.S., and Veltink, P.H. (2017). Estimation of ground reaction forces and moments during gait using only inertial motion capture. Sensors, 17.","DOI":"10.3390\/s17010075"},{"key":"ref_72","doi-asserted-by":"crossref","unstructured":"Emmerzaal, J., De Brabandere, A., Vanrompay, Y., Vranken, J., Storms, V., De Baets, L., Corten, K., Davis, J., Jonkers, I., and Vanwanseele, B. (2020). Towards the monitoring of functional status in a free-living environment for people with hip or knee osteoarthritis: Design and evaluation of the jolo blended care app. Sensors, 20.","DOI":"10.3390\/s20236967"},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"303","DOI":"10.1016\/j.knee.2008.12.007","article-title":"The association of external knee adduction moment with biomechanical variables in osteoarthritis: A systematic review","volume":"16","author":"Foroughi","year":"2009","journal-title":"Knee"},{"key":"ref_74","doi-asserted-by":"crossref","unstructured":"Shuai, Z., Dong, A., Liu, H., and Cui, Y. (2022). Reliability and Validity of an Inertial Measurement System to Quantify Lower Extremity Joint Angle in Functional Movements. Sensors, 22.","DOI":"10.3390\/s22030863"},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"091002","DOI":"10.1115\/1.4034060","article-title":"Development of a Subject-Specific Foot-Ground Contact Model for Walking","volume":"138","author":"Jackson","year":"2016","journal-title":"J. Biomech. Eng."},{"key":"ref_76","doi-asserted-by":"crossref","unstructured":"Konrath, J.M., Karatsidis, A., Schepers, H.M., Bellusci, G., De Zee, M., and Andersen, M.S. (2019). Estimation of the knee adduction moment and joint contact force during daily living activities using inertial motion capture. Sensors, 19.","DOI":"10.3390\/s19071681"},{"key":"ref_77","doi-asserted-by":"crossref","unstructured":"Zimmermann, T., Taetz, B., and Bleser, G. (2018). IMU-to-segment assignment and orientation alignment for the lower body using deep learning. Sensors, 18.","DOI":"10.3390\/s18010302"},{"key":"ref_78","doi-asserted-by":"crossref","first-page":"110069","DOI":"10.1016\/j.jbiomech.2020.110069","article-title":"Spring-loaded inverted pendulum modeling improves neural network estimation of ground reaction forces","volume":"113","author":"Kim","year":"2020","journal-title":"J. Biomech."},{"key":"ref_79","doi-asserted-by":"crossref","unstructured":"Lim, H., Kim, B., and Park, S. (2020). Prediction of lower limb kinetics and kinematics during walking by a single IMU on the lower back using machine learning. Sensors, 20.","DOI":"10.3390\/s20010130"},{"key":"ref_80","doi-asserted-by":"crossref","first-page":"320","DOI":"10.3389\/fbioe.2020.00320","article-title":"A Machine Learning Approach to Estimate Hip and Knee Joint Loading Using a Mobile Phone-Embedded IMU","volume":"8","author":"Emmerzaal","year":"2020","journal-title":"Front. Bioeng. Biotechnol."},{"key":"ref_81","doi-asserted-by":"crossref","first-page":"9","DOI":"10.3389\/fbioe.2020.00009","article-title":"A Machine Learning and Wearable Sensor Based Approach to Estimate External Knee Flexion and Adduction Moments During Various Locomotion Tasks","volume":"8","author":"Stetter","year":"2020","journal-title":"Front. Bioeng. Biotechnol."},{"key":"ref_82","doi-asserted-by":"crossref","first-page":"109327","DOI":"10.1016\/j.jbiomech.2019.109327","article-title":"A probabilistic method to estimate gait kinetics in the absence of ground reaction force measurements","volume":"96","author":"Tanghe","year":"2019","journal-title":"J. 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