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Home monitoring of changes in postural stability, as a consequence of therapies and disease progression, is highly desirable for the safety of the patient and better disease management. In this context, we present a system for the automatic evaluation of postural stability that is suitable for self-managing by people with motor impairment directly at home. The system is based on an optical RGB-Depth device, which tracks the body movements both for system\u2019s interaction, thanks to a gesture-based human-machine interface, and the automated assessment of postural stability. A set of tasks, based on standard clinical scales, has been designed for the assessment. The user controls the delivery of the tasks through the system interface. A machine learning approach is adopted, and some kinematic parameters that characterize the user\u2019s performance during each task execution are estimated and used by supervised classifiers for the automatic assessment. Data collected during experimental clinical trials were used to train the classifiers. This approach supports the compliance of the classifier assessments with respect to the clinical ones. The system prototype and the preliminary results on its accuracy in the assessment of postural stability are presented and discussed.<\/jats:p>","DOI":"10.1007\/s12652-023-04553-5","type":"journal-article","created":{"date-parts":[[2023,2,6]],"date-time":"2023-02-06T15:02:55Z","timestamp":1675695775000},"page":"2765-2778","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["At-home assessment of postural stability in parkinson\u2019s disease: a vision-based approach"],"prefix":"10.1007","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5381-4794","authenticated-orcid":false,"given":"Claudia","family":"Ferraris","sequence":"first","affiliation":[]},{"given":"Valerio","family":"Votta","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6728-2239","authenticated-orcid":false,"given":"Roberto","family":"Nerino","sequence":"additional","affiliation":[]},{"given":"Antonio","family":"Chimienti","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7012-6501","authenticated-orcid":false,"given":"Lorenzo","family":"Priano","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9072-7454","authenticated-orcid":false,"given":"Alessandro","family":"Mauro","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,2,6]]},"reference":[{"key":"4553_CR1","doi-asserted-by":"publisher","unstructured":"Bajenaru L, Marinescu IA, Dobre C, Prada GI, Constantinou CS (2020) Towards the development of a personalized healthcare solution for elderly: from user needs to system specifications. 12th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) ISBN 978-1-7281-6843-2. pp\u00a01\u20136. https:\/\/doi.org\/10.1109\/ECAI50035.2020.9223254","DOI":"10.1109\/ECAI50035.2020.9223254"},{"issue":"6","key":"4553_CR2","doi-asserted-by":"publisher","first-page":"304","DOI":"10.3138\/ptc.41.6.304","volume":"41","author":"K Berg","year":"1989","unstructured":"Berg K, Wood-Dauphin\u0117e S, Williams JI, Gayton D (1989) Measuring balance in the elderly: preliminary development of an instrument. 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