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 collaborative robots, both in functional robotic rehabilitation and Industry 5.0. These reaserch activities integrate artificial intelligence models validation techniques using motion capture systems, and neuromorphic hardware/software technologies to create safaty-aware solutions based on recognition and prediction of unsafe behaviors during human-robot interaction .
RECENT RESEARCH PROJECTS
- Oct. 2025 - ongoing - AI-ROBOT CARE (ADVANCED INTELLIGENCT ROBOTIC COLLABORATIVE ASSISTANCE FOR REHABILITATION), IEIIT internal project, co-supervision
- Nov. 2023 - Feb. 2026 - OMNIA-PARK (Objective Monitoring of Axial symptoms in Parkinson's Disease), Next Generation EU within the PRIN 2022 PNRR program, Research Unit leader
- 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, Research Unit leader
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 (LINK TO IRIS CNR)
SKILLS
ERC Sectors: Life Sciences (LS); Physical Sciences and Engineering (PE)
- LS5: Neuroscience and Disorders of the Nervous System (LS5_11, LS5:18)
- LS7: Prevention, Diagnosis and Treatment of Human Diseases (LS7_2, LS7_12, LS7_14)
- PE6: Computer Science and Informatics (PE6_7, PE6_8, PE6_11)
- PE7: System and Communication Engineering (PE7_10, PE7_11)
Sustainable Development Goals:
- Goal 3: Good Health and Well-being