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While traditional lab-based systems offer high accuracy, wearable Inertial Measurement Units (IMUs) enable portable, cost-effective gait assessments outside the laboratory environment. However, the reliability and applicability of IMU-derived data across diverse populations and walking conditions require robust datasets. This paper presents a lower limb kinematic dataset acquired with the Xsens Awinda IMU system. Data were collected from 92 unique participants: healthy adults (n\u2009=\u200925), healthy adolescents (n\u2009=\u200927), and individuals with ACL injuries assessed before surgery (n\u2009=\u200940), with 27 completing a follow-up three months post-reconstruction. Participants walked overground at self-selected slow, normal, and fast speeds. The dataset contains spatiotemporal parameters, as well as lower limb joint kinematics. It enables research on normative gait across age groups, the effects of ACL injury and early recovery on movement patterns, and the development of IMU-based gait analysis methods under different walking speeds and clinical conditions.<\/jats:p>","DOI":"10.1038\/s41597-025-06307-8","type":"journal-article","created":{"date-parts":[[2025,12,9]],"date-time":"2025-12-09T12:06:43Z","timestamp":1765282003000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["The COMPWALK-ACL: A Dataset of Multi-pace IMU Gait Kinematics in Adolescents, Adults, and ACL Injured Patients"],"prefix":"10.1038","volume":"13","author":[{"given":"Tomer","family":"Yona","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bezalel","family":"Peskin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4493-5222","authenticated-orcid":false,"given":"Arielle","family":"Fischer","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,12,9]]},"reference":[{"key":"6307_CR1","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2022.859298","volume":"16","author":"R Das","year":"2022","unstructured":"Das, R., Paul, S., Mourya, G. K., Kumar, N. & Hussain, M. Recent Trends and Practices Toward Assessment and Rehabilitation of Neurodegenerative Disorders: Insights From Human Gait. Front Neurosci. 16, 859298, https:\/\/doi.org\/10.3389\/fnins.2022.859298 (2022).","journal-title":"Front Neurosci."},{"issue":"10","key":"6307_CR2","doi-asserted-by":"publisher","first-page":"e1011556","DOI":"10.1371\/journal.pcbi.1011556","volume":"19","author":"TS Winner","year":"2023","unstructured":"Winner, T. S. et al. Discovering individual-specific gait signatures from data-driven models of neuromechanical dynamics. PLoS Comput Biol. 19(10), e1011556, https:\/\/doi.org\/10.1371\/journal.pcbi.1011556 (2023).","journal-title":"PLoS Comput Biol."},{"issue":"2","key":"6307_CR3","doi-asserted-by":"publisher","first-page":"322","DOI":"10.1002\/jor.26001","volume":"43","author":"C B\u00fcttner","year":"2025","unstructured":"B\u00fcttner, C. et al. Bilateral waveform analysis of gait biomechanics presurgery to 12 months following ACL reconstruction compared to controls. J Orthop Res. 43(2), 322\u2013336, https:\/\/doi.org\/10.1002\/jor.26001 (2025).","journal-title":"J Orthop Res."},{"issue":"1","key":"6307_CR4","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1186\/s43019-021-00128-w","volume":"33","author":"JH Park","year":"2021","unstructured":"Park, J. H. et al. Gait deviations of patients with ruptured anterior cruciate ligament: a cross-sectional gait analysis study on male patients. Knee Surg Relat Res. 33(1), 45, https:\/\/doi.org\/10.1186\/s43019-021-00128-w (2021).","journal-title":"Knee Surg Relat Res."},{"issue":"2","key":"6307_CR5","doi-asserted-by":"publisher","first-page":"158","DOI":"10.4085\/1062-6050-0186.21","volume":"57","author":"MA Lyle","year":"2022","unstructured":"Lyle, M. A. et al. Associations of Strength and Spatiotemporal Gait Variables With Knee Loading During Gait After Anterior Cruciate Ligament Reconstruction. J Athl Train. 57(2), 158\u2013164, https:\/\/doi.org\/10.4085\/1062-6050-0186.21 (2022).","journal-title":"J Athl Train."},{"key":"6307_CR6","doi-asserted-by":"publisher","first-page":"64","DOI":"10.1016\/j.clinbiomech.2016.01.006","volume":"32","author":"TC Gribbin","year":"2016","unstructured":"Gribbin, T. C. et al. Differences in hip-knee joint coupling during gait after anterior cruciate ligament reconstruction. Clin Biomech (Bristol, Avon). 32, 64\u201371, https:\/\/doi.org\/10.1016\/j.clinbiomech.2016.01.006 (2016).","journal-title":"Clin Biomech (Bristol, Avon)."},{"key":"6307_CR7","doi-asserted-by":"publisher","unstructured":"Prisco, G. et al. Validity of Wearable Inertial Sensors for Gait Analysis: A Systematic Review. 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Front Bioeng Biotechnol 12, 1449698, https:\/\/doi.org\/10.3389\/fbioe.2024.1449698 (2024).","journal-title":"Front Bioeng Biotechnol"},{"issue":"1","key":"6307_CR10","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1038\/s41746-023-00782-2","volume":"6","author":"T Tan","year":"2023","unstructured":"Tan, T. et al. A scoping review of portable sensing for out-of-lab anterior cruciate ligament injury prevention and rehabilitation. NPJ Digit Med 6(1), 46, https:\/\/doi.org\/10.1038\/s41746-023-00782-2 (2023).","journal-title":"NPJ Digit Med"},{"issue":"11","key":"6307_CR11","doi-asserted-by":"publisher","first-page":"2209","DOI":"10.1249\/MSS.0000000000001693","volume":"50","author":"J Goetschius","year":"2018","unstructured":"Goetschius, J., Hertel, J., Saliba, S. A., Brockmeier, S. F. & Hart, J. M. Gait Biomechanics in Anterior Cruciate Ligament-reconstructed Knees at Different Time Frames Postsurgery. 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