EEG-powered brain computer interface enables finger-level robotic hand control
Carnegie Mellon University scientists have demonstrated the first noninvasive brain-computer interface capable of controlling individual robotic fingers in real-time using electroencephalography (EEG) signals. The breakthrough study, involving 21 participants, achieved 80.56% accuracy for two-finger control tasks and represents a significant advance in dexterous robotic manipulation through thought alone. .