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Remote monitoring and rehabilitation for patients with neurological diseases., , , , , , , , , and . BODYNETS, ICST, (2014)Telerehabilitation of cognitive, motor and sleep disorders in neurological pathologies: the REHOME project., , , , , , , , , and 3 other author(s). ISCC, page 1-6. IEEE, (2022)Hand tracking for clinical applications: validation of the Google MediaPipe Hand (GMH) and the depth-enhanced GMH-D frameworks., , , , , and . CoRR, (2023)Evaluation of Arm Swing Features and Asymmetry during Gait in Parkinson's Disease Using the Azure Kinect Sensor., , , , , , , , and . Sensors, 22 (16): 6282 (2022)Usability of the REHOME Solution for the Telerehabilitation in Neurological Diseases: Preliminary Results on Motor and Cognitive Platforms., , , , , , , , , and 2 other author(s). Sensors, 22 (23): 9467 (2022)Enhancing upper limb mobility through gamified tasks and azure kinect: a preliminary study in post-stroke subjects., , , , and . AIxAS@AI*IA, volume 3623 of CEUR Workshop Proceedings, page 53-66. CEUR-WS.org, (2023)An Integrated Multi-Sensor Approach for the Remote Monitoring of Parkinson's Disease., , , , , , , , , and 2 other author(s). Sensors, 19 (21): 4764 (2019)Assessment Tasks and Virtual Exergames for Remote Monitoring of Parkinson's Disease: An Integrated Approach Based on Azure Kinect., , , , , , , and . Sensors, 22 (21): 8173 (2022)A BSN based service for post-surgical knee rehabilitation at home., , , , , , , and . BODYNETS, page 401-407. ICST, (2013)Automatic Detector of Gait Alterations using RGB-D sensor and supervised classifiers: a preliminary study., , , , and . ISCC, page 1-6. IEEE, (2022)