{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,13]],"date-time":"2025-11-13T17:52:04Z","timestamp":1763056324808,"version":"build-2065373602"},"reference-count":72,"publisher":"MDPI AG","issue":"16","license":[{"start":{"date-parts":[[2023,8,19]],"date-time":"2023-08-19T00:00:00Z","timestamp":1692403200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"European Fund for Regional Development (NL-EFRO)","award":["PROJ-00965"],"award-info":[{"award-number":["PROJ-00965"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Integrated Ultra-wideband (UWB) and Magnetic Inertial Measurement Unit (MIMU) sensor systems have been gaining popularity for pedestrian tracking and indoor localization applications, mainly due to their complementary error characteristics that can be exploited to achieve higher accuracies via a data fusion approach. These integrated sensor systems have the potential for improving the ambulatory 3D analysis of human movement (estimating 3D kinematics of body segments and joints) over systems using only on-body MIMUs. For this, high accuracy is required in the estimation of the relative positions of all on-body integrated UWB\/MIMU sensor modules. So far, these integrated UWB\/MIMU sensors have not been reported to have been applied for full-body ambulatory 3D analysis of human movement. Also, no review articles have been found that have analyzed and summarized the methods integrating UWB and MIMU sensors for on-body applications. Therefore, a comprehensive analysis of this technology is essential to identify its potential for application in 3D analysis of human movement. This article thus aims to provide such a comprehensive analysis through a structured technical review of the methods integrating UWB and MIMU sensors for accurate position estimation in the context of the application for 3D analysis of human movement. The methods used for integration are all summarized along with the accuracies that are reported in the reviewed articles. In addition, the gaps that are required to be addressed for making this system applicable for the 3D analysis of human movement are discussed.<\/jats:p>","DOI":"10.3390\/s23167277","type":"journal-article","created":{"date-parts":[[2023,8,21]],"date-time":"2023-08-21T01:49:34Z","timestamp":1692582574000},"page":"7277","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Integrated UWB\/MIMU Sensor System for Position Estimation towards an Accurate Analysis of Human Movement: A Technical Review"],"prefix":"10.3390","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4309-0467","authenticated-orcid":false,"given":"Vinish","family":"Yogesh","sequence":"first","affiliation":[{"name":"Roessingh Research and Development, Roessinghsbleekweg 33B, 7522 AH Enschede, The Netherlands"},{"name":"Department of Biomedical Signals and System, University of Twente, Drienerlolaan 5, 7522 NB Enschede, The Netherlands"}]},{"given":"Jaap H.","family":"Buurke","sequence":"additional","affiliation":[{"name":"Roessingh Research and Development, Roessinghsbleekweg 33B, 7522 AH Enschede, The Netherlands"},{"name":"Department of Biomedical Signals and System, University of Twente, Drienerlolaan 5, 7522 NB Enschede, The Netherlands"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1796-9999","authenticated-orcid":false,"given":"Peter H.","family":"Veltink","sequence":"additional","affiliation":[{"name":"Department of Biomedical Signals and System, University of Twente, Drienerlolaan 5, 7522 NB Enschede, The Netherlands"}]},{"given":"Chris T. M.","family":"Baten","sequence":"additional","affiliation":[{"name":"Roessingh Research and Development, Roessinghsbleekweg 33B, 7522 AH Enschede, The Netherlands"}]}],"member":"1968","published-online":{"date-parts":[[2023,8,19]]},"reference":[{"doi-asserted-by":"crossref","unstructured":"Filippeschi, A., Schmitz, N., Miezal, M., Bleser, G., Ruffaldi, E., and Stricker, D. (2017). Survey of Motion Tracking Methods Based on Inertial Sensors: A Focus on Upper Limb Human Motion. 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