A new brain-computer interface (BCI) developed by Matthew Willsey at the University of Michigan allows individuals with paralysis to control a virtual drone using thoughts alone.
This innovative system utilizes surgically implanted microelectrodes in the brain's motor cortex to detect and decode finger movements, enabling control of a virtual hand on a computer screen.
The interface records electrical activity from neurons, translating complex movements into commands for the drone, demonstrating a significant leap in BCI technology.
Previous BCIs focused primarily on controlling 2D cursors or robotic arms, but this new approach allows for high-performance control of multiple finger movements, a first in the field.
The research shows a sixfold improvement in performance over traditional EEG-controlled drones, paving the way for future advancements in assistive technologies for those with mobility impairments.
Future goals include enhancing the system with more electrodes and developing full-body control for paralyzed individuals, potentially leading to the restoration of overall mobility.