Fabrizio Taffoni
Papers
9
Total Citations
166
H-Index
6
About
Fabrizio Taffoni is a leading researcher in motor neuroscience and rehabilitation engineering, whose work bridges the gap between human movement analysis and robotic systems. His primary research areas include inertial sensing for motion tracking, motor symptom assessment in neurodegenerative diseases, and developmental motor control. Taffoni’s most impactful contribution is his systematic quantification of IMU orientation accuracy under both static and dynamic conditions, a 2016 study with 78 citations that has become a foundational reference for researchers using wearable sensors in human motion analysis. He has also made significant strides in clinical applications, developing a gyroscope-based method to assess bradykinesia in Parkinson’s disease (39 citations), offering a quantitative alternative to subjective clinical scales. Taffoni’s work extends to developmental robotics, where he models the interplay of rhythmic and discrete movements during motor development using reinforcement learning, and to rehabilitation technology, including sensorized objects for grasping assessment and wrist kinematics for robotic therapy. His interdisciplinary approach—combining biomechanics, robotics, and clinical neuroscience—has produced over a dozen publications that inform both fundamental understanding of human movement and the design of assistive technologies.
Research Focus
Key Achievements
Top Papers
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- 2Assessing bradykinesia in Parkinson's disease using gyroscope signals39 citations · 2017
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- 9TACT glossary: toys.2 citations · 2010