ClaudiaFerraris
/Researcher
She graduated in Computer Science fromt the University of Turin, specializing in image compression, video coding, and motion estimation. She continued research in these areas at CNR research centers. After a period in industry, she returned to academia in 2012, focusing on non-invasive approaches for motion analysis, remote monitoring, and rehabilitation within telemedicine applications. In 2021, she obtained a PhD in Neuroscience with a dissertation centered on these topics.
Her current research activities include the development of non-invasive or minimally invasive solutions for the assessment of motor and cognitive domains in chronic, neurodegenerative, and age-related conditions. To this end, she particularly employs markerless video/image analysis approaches, body and hand tracking algorithms, RGB and RGB-Depth devices, and Computer Vision techniques. She is also interested in AI approaches (machine learning, deep learning, and large language models) for the automated assessment of motor and cognitive impairment. Two research areas related to her main activity concern the integration of wearable sensors for biosignal analysis in the assessment of autonomic responses, and the development of exergames as personalized motor-cognitive stimulation tools within the broader context of healthcare digitalization and decentralization. A new line of research focuses on the use of collaborative robots for functional rehabilitation purposes, integrating artificial intelligence models and validation techniques based on motion capture systems.
RECENT RESEARCH PROJECTS
- Oct. 2025 - ongoing - AI-ROBOT CARE (ADVANCED INTELLIGENCT ROBOTIC COLLABORATIVE ASSISTANCE FOR REHABILITATION), GORU IEIIT
- Nov. 2023 - Feb. 2026 - OMNIA-PARK (Objective Monitoring of Axial symptoms in Parkinson's Disease), Next Generation EU within the PRIN 2022 PNRR program.
- Nov. 2023 - Giu. 2025 - ELEVATOR (EcologicaL Exercises in Virtual reAlity to stimulate upper limb function and monitor moTOR and cognitive aspects at home in elderly or disabled subjects using webcams and non-invasive movement tracking methods), Next Generation EU within NODES Program Spoke 5 Cascade Call Line A for enterprises, MUR – M4C2 1.5 of PNRR
DISSEMINATION EVENTS
- 22/01/2026: Un ponte tra medicina, tecnologia e Parkinson: l’innovazione al servizio della qualità della vita | Politecnico di Torino. Title: "Allenarsi giocando: l'Exergaming e la Visione Artificiale nel Parkinson"
LIST OF PUBBLICATIONS (IRIS CNR)