Research

Publications

Ongoing Projects

Using Machine Learning to enhance motor skill acquisition in Piano Performance This recently launched interdisciplinary project uses machine learning coupled with smart sensors to develop a personalized approach to optimally guide piano practice, based on individual abilities, goals and body constraints. The system will trace performance using a combination of auditory data, MIDI data from the keyboard, and motion sensors, and will initially learn by observing expert pianists. (with Dr. Jason Friedman, Tel-Aviv University).

Piano Training for dexterity in patients with Parkinson’s disease – Deficits in hand and arm function may be present in people with Parkinson disease (PD) from diagnosis. As the disease progresses, these may have a significant impact on patients’ quality of life. This project develops and checks the efficacy of a novel piano training approach on maintaining and improving fine motor skills in PD. Our approach to piano training combines standard piano repertory and acquisition of musicianship skills with targeted etudes aimed at addressing the special needs of PD. (in collaboration with Sheba hospital’s clinic for movement disorders, and Dr. Jason Friedman, Tel-Aviv University).

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