Neural interface lets paralyzed person steer virtual quadcopter, opening new doors for gaming

A new brain-computer interface allows a paralyzed person to control a virtual quadcopter using decoded brain signals for finger movements. Developed by University of Michigan researchers, the system can distinguish between three finger groups with high precision. The participant described the experience as intuitive and empowering, like playing a musical instrument. This technology could offer new opportunities for recreation and social connection for people with severe motor impairments, potentially addressing unmet needs in areas like leisure activities and sports participation.