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ARIA Opportunity Space: Scalable Neural Interfaces
AI for NeuroMotor Interfacing
MIND: Motor Interface for Neural Decoding. We are developing a minimally invasive neural interface that decodes movement signals directly from human muscles. By combining thin, implantable sensors with artificial intelligence, we can extract detailed information about how the nervous system controls natural movement. The system learns from both computer simulations and real human data, achieving high accuracy even during complex activities. This breakthrough will advance our understanding of human movement while enabling new treatments for motor disorders and more natural prosthetic control.
Dario Farina's Lab
Imperial College London
,
London
Farina Lab
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Dario Farina
Chair in Neurorehabilitation Engineering, Department of Bioengineering
Dario Farina leads the Neuromechanics and Rehabilitation Technology group, conducting fundamental research in motor neuroscience and the translation of scientific knowledge into neurorehabilitation technologies. He is renowned for his research combining signal
processing, neurophysiology, clinical sciences, and robotics, to
investigate the neural control of human movements and to develop
assistive technologies. His research has been translated into several medical technologies as well as in human interfacing for consumer electronics applications. He is an advisor for human interfacing for Meta (Facebook Reality Labs) and several other companies.
