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.