{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,18]],"date-time":"2025-12-18T13:57:57Z","timestamp":1766066277917,"version":"build-2065373602"},"reference-count":37,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2013,6,17]],"date-time":"2013-06-17T00:00:00Z","timestamp":1371427200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Human motion monitoring and analysis can be an essential part of a wide spectrum of applications, including physical rehabilitation among other potential areas of interest. Creating non-invasive systems for monitoring patients while performing rehabilitation exercises, to provide them with an objective feedback, is one of the current challenges. In this paper we present a wearable multi-sensor system for human motion monitoring, which has been developed for use in rehabilitation. It is composed of a number of small modules that embed high-precision accelerometers and wireless communications to transmit the information related to the body motion to an acquisition device. The results of a set of experiments we made to assess its performance in real-world setups demonstrate its usefulness in human motion acquisition and tracking, as required, for example, in activity recognition, physical\/athletic performance evaluation and rehabilitation.<\/jats:p>","DOI":"10.3390\/s130607735","type":"journal-article","created":{"date-parts":[[2013,6,17]],"date-time":"2013-06-17T11:18:49Z","timestamp":1371467929000},"page":"7735-7755","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":34,"title":["Design of a Wearable Sensing System for Human Motion Monitoring in Physical Rehabilitation"],"prefix":"10.3390","volume":"13","author":[{"given":"Lara","family":"Gonz\u00e1lez-Villanueva","sequence":"first","affiliation":[{"name":"Henesis S.r.l., Viale dei Mille 108, 43125 Parma, Italy"},{"name":"IBIS Lab, Department of Information Engineering, University of Parma, Parco Area delle Scienze 181\/A, 43124 Parma, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4669-512X","authenticated-orcid":false,"given":"Stefano","family":"Cagnoni","sequence":"additional","affiliation":[{"name":"IBIS Lab, Department of Information Engineering, University of Parma, Parco Area delle Scienze 181\/A, 43124 Parma, Italy"}]},{"given":"Luca","family":"Ascari","sequence":"additional","affiliation":[{"name":"Henesis S.r.l., Viale dei Mille 108, 43125 Parma, Italy"}]}],"member":"1968","published-online":{"date-parts":[[2013,6,17]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.bspc.2007.09.001","article-title":"Human motion tracking for rehabilitation\u2014A survey","volume":"3","author":"Zhou","year":"2008","journal-title":"Biomed. 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