{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,7]],"date-time":"2026-01-07T23:38:53Z","timestamp":1767829133690,"version":"3.49.0"},"reference-count":69,"publisher":"MDPI AG","issue":"16","license":[{"start":{"date-parts":[[2020,8,13]],"date-time":"2020-08-13T00:00:00Z","timestamp":1597276800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Fonds de recherche du Que\u0301bec\u2014Nature et technologies (FRQNT)","award":["2016-PR-188869"],"award-info":[{"award-number":["2016-PR-188869"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Due to occlusion or detached markers, information can often be lost while capturing human motion with optical tracking systems. Based on three natural properties of human gait movement, this study presents two different approaches to recover corrupted motion data. These properties are used to define a reconstruction model combining low-rank matrix completion of the measured data with a group-sparsity prior on the marker trajectories mapped in the frequency domain. Unlike most existing approaches, the proposed methodology is fully unsupervised and does not need training data or kinematic information of the user. We evaluated our methods on four different gait datasets with various gap lengths and compared their performance with a state-of-the-art approach using principal component analysis (PCA). Our results showed recovering missing data more precisely, with a reduction of at least 2 mm in mean reconstruction error compared to the literature method. When a small number of marker trajectories is available, our findings showed a reduction of more than 14 mm for the mean reconstruction error compared to the literature approach.<\/jats:p>","DOI":"10.3390\/s20164525","type":"journal-article","created":{"date-parts":[[2020,8,13]],"date-time":"2020-08-13T02:58:02Z","timestamp":1597287482000},"page":"4525","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Low-Rank and Sparse Recovery of Human Gait Data"],"prefix":"10.3390","volume":"20","author":[{"given":"Kaveh","family":"Kamali","sequence":"first","affiliation":[{"name":"Department of Automated Manufacturing Engineering, \u00c9cole de Technologie Sup\u00e9rieure, Montreal, QC H3C1K3, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ali Akbar","family":"Akbari","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering and the Center of Excellence on Soft Computing and Intelligent Information Processing, Ferdowsi University of Mashhad, Mashhad 9177948974, Iran"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christian","family":"Desrosiers","sequence":"additional","affiliation":[{"name":"Department of Software and IT Engineering, \u00c9cole de Technologie Sup\u00e9rieure, Montreal, QC H3C1K3, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alireza","family":"Akbarzadeh","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering and the Center of Excellence on Soft Computing and Intelligent Information Processing, Ferdowsi University of Mashhad, Mashhad 9177948974, Iran"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8763-0536","authenticated-orcid":false,"given":"Martin J.-D.","family":"Otis","sequence":"additional","affiliation":[{"name":"Department of Applied Sciences, Universit\u00e9 du Qu\u00e9bec \u00e0 Chicoutimi (UQAC), Chicoutimi, QC G7H2B1, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4104-8070","authenticated-orcid":false,"given":"Johannes C.","family":"Ayena","sequence":"additional","affiliation":[{"name":"Department of Applied Sciences, Universit\u00e9 du Qu\u00e9bec \u00e0 Chicoutimi (UQAC), Chicoutimi, QC G7H2B1, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2020,8,13]]},"reference":[{"key":"ref_1","unstructured":"Siddhartha, B., Debanjan, K., Jan, P., Chinmoy, K., and Kalpana, S. 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