A groundbreaking study used a brain-computer interface to help a participant with tetraplegia (paralysis of all four limbs and the torso) control a virtual quadcopter by thinking about moving his fingers, marking a major step in fine-motor control. The system, which interprets brain signals, outperforms traditional EEG methods and has the potential for gaming and remote work. Matthew Willsey, an assistant professor at the University of Michigan, contributed to the study, highlighting U of M’s role in advancing neuro-engineering. To learn more about the technology and its exciting potential, check out the full article from The Record.
