{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,23]],"date-time":"2026-03-23T15:14:45Z","timestamp":1774278885264,"version":"3.50.1"},"reference-count":61,"publisher":"MDPI AG","issue":"22","license":[{"start":{"date-parts":[[2021,11,19]],"date-time":"2021-11-19T00:00:00Z","timestamp":1637280000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"uOttawa-Children's Hospital of Eastern Ontario Research Institute","award":["Postdoctoral Fellowship"],"award-info":[{"award-number":["Postdoctoral Fellowship"]}]},{"DOI":"10.13039\/501100000038","name":"Natural Sciences and Engineering Research Council","doi-asserted-by":"publisher","award":["RGPIN-2016-04928"],"award-info":[{"award-number":["RGPIN-2016-04928"]}],"id":[{"id":"10.13039\/501100000038","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000038","name":"Natural Sciences and Engineering Research Council","doi-asserted-by":"publisher","award":["RGPIN-2020-04748"],"award-info":[{"award-number":["RGPIN-2020-04748"]}],"id":[{"id":"10.13039\/501100000038","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Ontario Early Researcher Awards","award":["ER16-12-206"],"award-info":[{"award-number":["ER16-12-206"]}]},{"name":"Ontario Early Researcher Awards","award":["ER17-13-007"],"award-info":[{"award-number":["ER17-13-007"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Motor variability in gait is frequently linked to fall risk, yet field-based biomechanical joint evaluations are scarce. We evaluated the validity and sensitivity of an inertial measurement unit (IMU)-driven biomechanical model of joint angle variability for gait. Fourteen healthy young adults completed seven-minute trials of treadmill gait at several speeds and arm swing amplitudes. Trunk, pelvis, and lower-limb joint kinematics were estimated by IMU- and optoelectronic-based models using OpenSim. We calculated range of motion (ROM), magnitude of variability (meanSD), local dynamic stability (\u03bbmax), persistence of ROM fluctuations (DFA\u03b1), and regularity (SaEn) of each angle over 200 continuous strides, and evaluated model accuracy (RMSD: root mean square difference), consistency (ICC2,1: intraclass correlation), biases, limits of agreement, and sensitivity to within-participant gait responses (effects of speed and swing). RMSDs of joint angles were 1.7\u20139.2\u00b0 (pooled mean of 4.8\u00b0), excluding ankle inversion. ICCs were mostly good to excellent in the primary plane of motion for ROM and in all planes for meanSD and \u03bbmax, but were poor to moderate for DFA\u03b1 and SaEn. Modelled speed and swing responses for ROM, meanSD, and \u03bbmax were similar. Results suggest that the IMU-driven model is valid and sensitive for field-based assessments of joint angle time series, ROM in the primary plane of motion, magnitude of variability, and local dynamic stability.<\/jats:p>","DOI":"10.3390\/s21227690","type":"journal-article","created":{"date-parts":[[2021,11,19]],"date-time":"2021-11-19T08:29:17Z","timestamp":1637310557000},"page":"7690","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":28,"title":["Validity and Sensitivity of an Inertial Measurement Unit-Driven Biomechanical Model of Motor Variability for Gait"],"prefix":"10.3390","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3743-5297","authenticated-orcid":false,"given":"Christopher A.","family":"Bailey","sequence":"first","affiliation":[{"name":"School of Human Kinetics, University of Ottawa, Ottawa, ON K1N 6N5, Canada"}]},{"given":"Thomas K.","family":"Uchida","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering, University of Ottawa, Ottawa, ON K1N 6N5, Canada"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7253-9222","authenticated-orcid":false,"given":"Julie","family":"Nantel","sequence":"additional","affiliation":[{"name":"School of Human Kinetics, University of Ottawa, Ottawa, ON K1N 6N5, Canada"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7502-8065","authenticated-orcid":false,"given":"Ryan B.","family":"Graham","sequence":"additional","affiliation":[{"name":"School of Human Kinetics, University of Ottawa, Ottawa, ON K1N 6N5, Canada"}]}],"member":"1968","published-online":{"date-parts":[[2021,11,19]]},"reference":[{"key":"ref_1","unstructured":"Newell, K.M., and Slifkin, A.B. (1998). The Nature of Movement Variability. Motor Behavior and Human Skill: A Multidisciplinary Perspective, Human Kinetics."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1050","DOI":"10.1053\/apmr.2001.24893","article-title":"Gait variability and fall risk in community-living older adults: A 1-year prospective study","volume":"82","author":"Hausdorff","year":"2001","journal-title":"Arch. Phys. Med. Rehabil."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1186\/1743-0003-2-19","article-title":"Gait variability: Methods, modeling and meaning","volume":"2","author":"Hausdorff","year":"2005","journal-title":"J. Neuroeng. Rehabil."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"435","DOI":"10.1016\/S0268-0033(03)00029-9","article-title":"Nonlinear dynamics indicates aging affects variability during gait","volume":"18","author":"Buzzi","year":"2003","journal-title":"Clin. Biomech."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1016\/S0304-3940(03)00736-5","article-title":"The aging humans neuromuscular system expresses less certainty for selecting joint kinematics during gait","volume":"348","author":"Kurz","year":"2003","journal-title":"Neurosci. Lett."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"109574","DOI":"10.1016\/j.jbiomech.2019.109574","article-title":"Does variability in motor output at individual joints predict stride time variability in gait? Influences of age, sex, and plane of motion","volume":"99","author":"Bailey","year":"2019","journal-title":"J. Biomech."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"44","DOI":"10.3389\/fnagi.2018.00044","article-title":"Improved Prediction of Falls in Community-Dwelling Older Adults Through Phase-Dependent Entropy of Daily-Life Walking","volume":"10","author":"Ihlen","year":"2018","journal-title":"Front. Aging Neurosci."},{"key":"ref_8","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_9","doi-asserted-by":"crossref","first-page":"N63","DOI":"10.1088\/0967-3334\/34\/8\/N63","article-title":"Concurrent validation of Xsens MVN measurement of lower limb joint angular kinematics","volume":"34","author":"Zhang","year":"2013","journal-title":"Physiol. Meas."},{"key":"ref_10","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":"Measurement"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"927","DOI":"10.1109\/TSMC.2016.2521823","article-title":"A Novel Biomechanical Model-Aided IMU\/UWB Fusion for Magnetometer-Free Lower Body Motion Capture","volume":"47","author":"Zihajehzadeh","year":"2016","journal-title":"IEEE Trans. Syst. Man Cybern. Syst."},{"key":"ref_12","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_13","doi-asserted-by":"crossref","first-page":"110229","DOI":"10.1016\/j.jbiomech.2021.110229","article-title":"Estimation of kinematics from inertial measurement units using a combined deep learning and optimization framework","volume":"116","author":"Rapp","year":"2021","journal-title":"J. Biomech."},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Slade, P., Habib, A., Hicks, J.L., and Delp, S.L. (2021). An open-source and wearable system for measuring 3D human motion in real-time. IEEE Trans. Biomed. Eng., 1.","DOI":"10.1101\/2021.03.24.436725"},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Al Borno, M., O\u2019Day, J., Ibarra, V., Dunne, J., Seth, A., Habib, A., Ong, C., Hicks, J., Uhlrich, S., and Delp, S. (2021). OpenSense: An open-source tool box for Inertial-Measurement-Unit-based measurement of lower extremity kinematics over long durations. bioRxiv, 1\u201326.","DOI":"10.1101\/2021.07.01.450788"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s11517-009-0544-y","article-title":"First in vivo assessment of \u201cOutwalk\u201d: A novel protocol for clinical gait analysis based on inertial and magnetic sensors","volume":"48","author":"Ferrari","year":"2009","journal-title":"Med Biol. Eng. Comput."},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Al-Amri, M., Nicholas, K., Button, K., Sparkes, V., Sheeran, L., and Davies, J.L. (2018). Inertial Measurement Units for Clinical Movement Analysis: Reliability and Concurrent Validity. Sensors, 18.","DOI":"10.3390\/s18030719"},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"De Villa, S.G., Munoz Diaz, E., Ahmed, D.B., Jimenez Martin, A., and Dominguez, J.J.G. (October, January 30). IMU-based Characterization of the Leg for the Implementation of Biomechanical Models. Proceedings of the 2019 International Conference on Indoor Positioning and Indoor Navigation (IPIN), Pisa, Italy.","DOI":"10.1109\/IPIN.2019.8911818"},{"key":"ref_19","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_20","unstructured":"Roetenberg, D., Luinge, H., and Slycke, P. (2021, June 21). Xsens MVN: Full 6DOF Human Motion Tracking Using Miniature Inertial Sensors. Xsens Motion Technologies BV, Tech. Rep 1. Available online: http:\/\/citeseerx.ist.psu.edu\/viewdoc\/download?doi=10.1.1.569.9604&rep=rep1&type=pdf."},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Madgwick, S.O.H., Harrison, A.J.L., and Vaidyanathan, R. (July, January 29). Estimation of IMU and MARG orientation using a gradient descent algorithm. Proceedings of the 2011 IEEE International Conference on Rehabilitation Robotics, Zurich, Switzerland.","DOI":"10.1109\/ICORR.2011.5975346"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"131","DOI":"10.1016\/j.cmpb.2013.11.012","article-title":"Kinematics based sensory fusion for wearable motion assessment in human walking","volume":"116","author":"Kamnik","year":"2014","journal-title":"Comput. Methods Programs Biomed."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"2604","DOI":"10.1016\/j.jbiomech.2006.12.010","article-title":"An inertial and magnetic sensor based technique for joint angle measurement","volume":"40","author":"Kamnik","year":"2007","journal-title":"J. Biomech."},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Ibata, Y., Kitamura, S., Motoi, K., and Sagawa, K. (2013, January 3\u20137). Measurement of three-dimensional posture and trajectory of lower body during standing long jumping utilizing body-mounted sensors. Proceedings of the 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Osaka, Japan.","DOI":"10.1109\/EMBC.2013.6610644"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"535","DOI":"10.1016\/j.gaitpost.2008.12.004","article-title":"Magnetic distortion in motion labs, implications for validating inertial magnetic sensors","volume":"29","author":"Veeger","year":"2009","journal-title":"Gait Posture"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"2052","DOI":"10.1109\/TBME.2013.2248085","article-title":"Hierarchical Information Fusion for Global Displacement Estimation in Microsensor Motion Capture","volume":"60","author":"Meng","year":"2013","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"79","DOI":"10.3182\/20140824-6-ZA-1003.02252","article-title":"An optimization-based approach to human body motion capture using inertial sensors","volume":"47","author":"Kok","year":"2014","journal-title":"IFAC Proc. Vol."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"834","DOI":"10.1080\/10255842.2018.1522532","article-title":"Validation of a model-based inverse kinematics approach based on wearable inertial sensors","volume":"21","author":"Tagliapietra","year":"2018","journal-title":"Comput. Methods Biomech. Biomed. Eng."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"360","DOI":"10.1016\/j.gaitpost.2008.09.003","article-title":"The reliability of three-dimensional kinematic gait measurements: A systematic review","volume":"29","author":"McGinley","year":"2009","journal-title":"Gait Posture"},{"key":"ref_30","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_31","doi-asserted-by":"crossref","unstructured":"Seth, A., Hicks, J.L., Uchida, T.K., Habib, A., Dembia, C.L., Dunne, J.J., Ong, C., Demers, M.S., Rajagopal, A., and Millard, M. (2018). OpenSim: Simulating musculoskeletal dynamics and neuromuscular control to study human and animal movement. PLoS Comput. Biol., 14.","DOI":"10.1371\/journal.pcbi.1006223"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"175","DOI":"10.3758\/BF03193146","article-title":"G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences","volume":"39","author":"Faul","year":"2007","journal-title":"Behav. Res. Methods"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"2068","DOI":"10.1109\/TBME.2016.2586891","article-title":"Full-Body Musculoskeletal Model for Muscle-Driven Simulation of Human Gait","volume":"63","author":"Rajagopal","year":"2016","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"444","DOI":"10.1016\/j.jbiomech.2004.12.014","article-title":"Kinematic variability and local dynamic stability of upper body motions when walking at different speeds","volume":"39","author":"Dingwell","year":"2006","journal-title":"J. Biomech."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"572","DOI":"10.1016\/j.gaitpost.2007.07.009","article-title":"Separating the effects of age and walking speed on gait variability","volume":"27","author":"Kang","year":"2008","journal-title":"Gait Posture"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"2899","DOI":"10.1016\/j.jbiomech.2008.08.002","article-title":"Effects of walking speed, strength and range of motion on gait stability in healthy older adults","volume":"41","author":"Kang","year":"2008","journal-title":"J. Biomech."},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Hill, A., and Nantel, J. (2019). The effects of arm swing amplitude and lower-limb asymmetry on gait stability. PLoS ONE, 14.","DOI":"10.1101\/664565"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"109529","DOI":"10.1016\/j.jbiomech.2019.109529","article-title":"Active arm swing and asymmetric walking leads to increased variability in trunk kinematics in young adults","volume":"99","author":"Siragy","year":"2019","journal-title":"J. Biomech."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"110855","DOI":"10.1016\/j.jbiomech.2021.110855","article-title":"Effects of arm swing amplitude and lower limb asymmetry on motor variability patterns during treadmill gait","volume":"130","author":"Bailey","year":"2021","journal-title":"J. Biomech."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1016\/j.compbiomed.2014.04.001","article-title":"Gait variability and stability measures: Minimum number of strides and within-session reliability","volume":"50","author":"Riva","year":"2014","journal-title":"Comput. Biol. Med."},{"key":"ref_41","first-page":"783","article-title":"The six-minute walk test","volume":"48","author":"Enright","year":"2003","journal-title":"Respir. Care"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"104","DOI":"10.1016\/0141-1195(86)90098-7","article-title":"A Fortran package for generalized, cross-validatory spline smoothing and differentiation","volume":"8","author":"Woltring","year":"1986","journal-title":"Adv. Eng. Softw. (1978)"},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"102","DOI":"10.1016\/j.humov.2015.10.005","article-title":"Effect of active arm swing to local dynamic stability during walking","volume":"45","author":"Wu","year":"2016","journal-title":"Hum. Mov. Sci."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"168","DOI":"10.1038\/356168a0","article-title":"Long-range correlations in nucleotide sequences","volume":"356","author":"Peng","year":"1992","journal-title":"Nature"},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"349","DOI":"10.1152\/jappl.1995.78.1.349","article-title":"Is walking a random walk? Evidence for long-range correlations in stride interval of human gait","volume":"78","author":"Hausdorff","year":"1995","journal-title":"J. Appl. Physiol."},{"key":"ref_46","doi-asserted-by":"crossref","unstructured":"Dingwell, J.B., and Cusumano, J.P. (2015). Identifying Stride-To-Stride Control Strategies in Human Treadmill Walking. PLoS ONE, 10.","DOI":"10.1371\/journal.pone.0124879"},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1016\/j.physa.2003.08.022","article-title":"Multiscale entropy analysis of human gait dynamics","volume":"330","author":"Costa","year":"2003","journal-title":"Phys. A Stat. Mech. Its Appl."},{"key":"ref_48","doi-asserted-by":"crossref","unstructured":"McCamley, J.D., Denton, W., Arnold, A., Raffalt, P.C., and Yentes, J.M. (2018). On the Calculation of Sample Entropy Using Continuous and Discrete Human Gait Data. Entropy, 20.","DOI":"10.3390\/e20100764"},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"284","DOI":"10.1037\/1040-3590.6.4.284","article-title":"Guidelines, criteria, and rules of thumb for evaluating normed and standardized assessment instruments in psychology","volume":"6","author":"Cicchetti","year":"1994","journal-title":"Psychol. Assess."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1111\/j.2517-6161.1995.tb02031.x","article-title":"Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing","volume":"57","author":"Benjamini","year":"1995","journal-title":"J. R. Stat. Soc. Ser. B Methodol."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"1974","DOI":"10.1016\/j.jbiomech.2011.05.005","article-title":"Sex-specific differences in gait patterns of healthy older adults: Results from the Baltimore Longitudinal Study of Aging","volume":"44","author":"Ko","year":"2011","journal-title":"J. Biomech."},{"key":"ref_52","doi-asserted-by":"crossref","unstructured":"Beange, K.H.E., Chan, A.D.C., and Graham, R.B. (2018, January 11\u201313). Evaluation of wearable IMU performance for orientation estimation and motion tracking. Proceedings of the IEEE International Workshop on Medical Measurement and Applications, Rome, Italy.","DOI":"10.1109\/MeMeA.2018.8438623"},{"key":"ref_53","unstructured":"Beange, K.H.E., Chan, A.D.C., and Graham, R.B. (2019, January 21\u201324). Wearable sensor performance for motion tracking of the lumbar spine. Proceedings of the 42nd Canadian Medical and Biological Engineering Conference, Ottawa, ON, Canada."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"72","DOI":"10.1186\/1471-2474-14-72","article-title":"Objective assessment, repeatability, and agreement of shoulder ROM with a 3D gyroscope","volume":"14","author":"Efe","year":"2013","journal-title":"BMC Musculoskelet. Disord."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"109356","DOI":"10.1016\/j.jbiomech.2019.109356","article-title":"Concurrent validity of a wearable IMU for objective assessments of functional movement quality and control of the lumbar spine","volume":"97","author":"Beange","year":"2019","journal-title":"J. Biomech."},{"key":"ref_56","first-page":"9","article-title":"Three-dimensional human gait pattern\u2014reference data for normal men","volume":"14","author":"Pietraszewski","year":"2012","journal-title":"Acta Bioeng. Biomech."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"1345","DOI":"10.1016\/j.jbiomech.2009.03.015","article-title":"Comparison of different state space definitions for local dynamic stability analyses","volume":"42","author":"Gates","year":"2009","journal-title":"J. Biomech."},{"key":"ref_58","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_59","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1115\/1.1336798","article-title":"Local Dynamic Stability Versus Kinematic Variability of Continuous Overground and Treadmill Walking","volume":"123","author":"Dingwell","year":"2000","journal-title":"J. Biomech. Eng."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"204","DOI":"10.1016\/j.gaitpost.2015.09.024","article-title":"A comparison of variability in spatiotemporal gait parameters between treadmill and overground walking conditions","volume":"43","author":"Hollman","year":"2016","journal-title":"Gait Posture"},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"615","DOI":"10.1016\/j.gaitpost.2013.06.014","article-title":"Is gait variability reliable? An assessment of spatio-temporal parameters of gait variability during continuous overground walking","volume":"39","author":"Singh","year":"2014","journal-title":"Gait Posture"}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/21\/22\/7690\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T07:32:41Z","timestamp":1760167961000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/21\/22\/7690"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,11,19]]},"references-count":61,"journal-issue":{"issue":"22","published-online":{"date-parts":[[2021,11]]}},"alternative-id":["s21227690"],"URL":"https:\/\/doi.org\/10.3390\/s21227690","relation":{"has-preprint":[{"id-type":"doi","id":"10.1101\/2021.09.27.461967","asserted-by":"object"}]},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,11,19]]}}}