{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T02:21:03Z","timestamp":1760235663464,"version":"build-2065373602"},"reference-count":36,"publisher":"MDPI AG","issue":"18","license":[{"start":{"date-parts":[[2021,9,16]],"date-time":"2021-09-16T00:00:00Z","timestamp":1631750400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100010959","name":"Th\u00fcringer Ministerium f\u00fcr Wirtschaft, Wissenschaft und Digitale Gesellschaft","doi-asserted-by":"publisher","award":["2015 FE 9088"],"award-info":[{"award-number":["2015 FE 9088"]}],"id":[{"id":"10.13039\/501100010959","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>This paper presents the technological status of robot-assisted gait self-training under real clinical environment conditions. A successful rehabilitation after surgery in hip endoprosthetics comprises self-training of the lessons taught by physiotherapists. While doing this, immediate feedback to the patient about deviations from the expected physiological gait pattern during training is important. Hence, the Socially Assistive Robot (SAR) developed for this type of training employs task-specific, user-centered navigation and autonomous, real-time gait feature classification techniques to enrich the self-training through companionship and timely corrective feedback. The evaluation of the system took place during user tests in a hospital from the point of view of technical benchmarking, considering the therapists\u2019 and patients\u2019 point of view with regard to training motivation and from the point of view of initial findings on medical efficacy as a prerequisite from an economic perspective. In this paper, the following research questions were primarily considered: Does the level of technology achieved enable autonomous use in everyday clinical practice? Has the gait pattern of patients who used additional robot-assisted gait self-training for several days been changed or improved compared to patients without this training? How does the use of a SAR-based self-training robot affect the motivation of the patients?<\/jats:p>","DOI":"10.3390\/s21186213","type":"journal-article","created":{"date-parts":[[2021,9,22]],"date-time":"2021-09-22T03:47:35Z","timestamp":1632282455000},"page":"6213","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Robot-Assisted Gait Self-Training: Assessing the Level Achieved"],"prefix":"10.3390","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4286-7326","authenticated-orcid":false,"given":"Andrea","family":"Scheidig","sequence":"first","affiliation":[{"name":"Neuroinformatics and Cognitive Robotics Lab, Ilmenau University of Technology, 98684 Ilmenau, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Benjamin","family":"Sch\u00fctz","sequence":"additional","affiliation":[{"name":"Neuroinformatics and Cognitive Robotics Lab, Ilmenau University of Technology, 98684 Ilmenau, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Thanh Quang","family":"Trinh","sequence":"additional","affiliation":[{"name":"Neuroinformatics and Cognitive Robotics Lab, Ilmenau University of Technology, 98684 Ilmenau, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7299-3062","authenticated-orcid":false,"given":"Alexander","family":"Vorndran","sequence":"additional","affiliation":[{"name":"Neuroinformatics and Cognitive Robotics Lab, Ilmenau University of Technology, 98684 Ilmenau, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anke","family":"Mayfarth","sequence":"additional","affiliation":[{"name":"MetraLabs GmbH, 98693 Ilmenau, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5201-826X","authenticated-orcid":false,"given":"Christian","family":"Sternitzke","sequence":"additional","affiliation":[{"name":"tediro GmbH, 98693 Ilmenau, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Eric","family":"R\u00f6hner","sequence":"additional","affiliation":[{"name":"Orthopedic Department of the Waldkliniken Eisenberg, University Hospital Jena, 07607 Eisenberg, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Horst-Michael","family":"Gross","sequence":"additional","affiliation":[{"name":"Neuroinformatics and Cognitive Robotics Lab, Ilmenau University of Technology, 98684 Ilmenau, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2021,9,16]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Gross, H.M., Meyer, S., Scheidig, A., Eisenbach, M., Mueller, S., Trinh, T.Q., Wengefeld, T., Bley, A., Martin, C., and Fricke, C. 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Ind."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/21\/18\/6213\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T07:00:46Z","timestamp":1760166046000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/21\/18\/6213"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9,16]]},"references-count":36,"journal-issue":{"issue":"18","published-online":{"date-parts":[[2021,9]]}},"alternative-id":["s21186213"],"URL":"https:\/\/doi.org\/10.3390\/s21186213","relation":{},"ISSN":["1424-8220"],"issn-type":[{"type":"electronic","value":"1424-8220"}],"subject":[],"published":{"date-parts":[[2021,9,16]]}}}