{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,21]],"date-time":"2026-07-21T14:32:12Z","timestamp":1784644332000,"version":"3.55.0"},"reference-count":38,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2025,1,8]],"date-time":"2025-01-08T00:00:00Z","timestamp":1736294400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100002347","name":"German Federal Ministry for Education and Science","doi-asserted-by":"publisher","award":["01EO1401"],"award-info":[{"award-number":["01EO1401"]}],"id":[{"id":"10.13039\/501100002347","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002347","name":"German Federal Ministry for Education and Science","doi-asserted-by":"publisher","award":["13GW0490B"],"award-info":[{"award-number":["13GW0490B"]}],"id":[{"id":"10.13039\/501100002347","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Instrumented gait analysis is widely used in clinical settings for the early detection of neurological disorders, monitoring disease progression, and evaluating fall risk. However, the gold-standard marker-based 3D motion analysis is limited by high time and personnel demands. Advances in computer vision now enable markerless whole-body tracking with high accuracy. Here, we present vGait, a comprehensive 3D gait assessment method using a single RGB-D sensor and state-of-the-art pose-tracking algorithms. vGait was validated in healthy participants during frontal- and sagittal-perspective walking. Performance was comparable across perspectives, with vGait achieving high accuracy in detecting initial and final foot contacts (F1 scores &gt; 95%) and reliably quantifying spatiotemporal gait parameters (e.g., stride time, stride length) and whole-body coordination metrics (e.g., arm swing and knee angle ROM) at different levels of granularity (mean, step-to-step variability, side asymmetry). The flexibility, accuracy, and minimal resource requirements of vGait make it a valuable tool for clinical and non-clinical applications, including outpatient clinics, medical practices, nursing homes, and community settings. By enabling efficient and scalable gait assessment, vGait has the potential to enhance diagnostic and therapeutic workflows and improve access to clinical mobility monitoring.<\/jats:p>","DOI":"10.3390\/s25020333","type":"journal-article","created":{"date-parts":[[2025,1,8]],"date-time":"2025-01-08T11:56:22Z","timestamp":1736337382000},"page":"333","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Clinical Whole-Body Gait Characterization Using a Single RGB-D Sensor"],"prefix":"10.3390","volume":"25","author":[{"given":"Lukas","family":"Boborzi","sequence":"first","affiliation":[{"name":"German Center for Vertigo and Balance Disorders (DSGZ), LMU University Hospital, LMU Munich, 81377 Munich, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7787-2574","authenticated-orcid":false,"given":"Johannes","family":"Bertram","sequence":"additional","affiliation":[{"name":"German Center for Vertigo and Balance Disorders (DSGZ), LMU University Hospital, LMU Munich, 81377 Munich, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Roman","family":"Schniepp","sequence":"additional","affiliation":[{"name":"Institut f\u00fcr Notfallmedizin und Medizinmanagement (INM), LMU University Hospital, LMU Munich, 80336 Munich, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Julian","family":"Decker","sequence":"additional","affiliation":[{"name":"German Center for Vertigo and Balance Disorders (DSGZ), LMU University Hospital, LMU Munich, 81377 Munich, Germany"},{"name":"Sch\u00f6n Klinik Bad Aibling, 83043 Bad Aibling, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5115-3777","authenticated-orcid":false,"given":"Max","family":"Wuehr","sequence":"additional","affiliation":[{"name":"German Center for Vertigo and Balance Disorders (DSGZ), LMU University Hospital, LMU Munich, 81377 Munich, Germany"},{"name":"Department of Neurology, LMU University Hospital, LMU Munich, 81377 Munich, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2025,1,8]]},"reference":[{"key":"ref_1","first-page":"306","article-title":"Gait disturbances in old age: Classification, diagnosis, and treatment from a neurological perspective","volume":"107","author":"Jahn","year":"2010","journal-title":"Dtsch. 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