Noninvasive brain-actuated control of a mobile robot by human EEG

IEEE Trans Biomed Eng. 2004 Jun;51(6):1026-33. doi: 10.1109/TBME.2004.827086.

Abstract

Brain activity recorded noninvasively is sufficient to control a mobile robot if advanced robotics is used in combination with asynchronous electroencephalogram (EEG) analysis and machine learning techniques. Until now brain-actuated control has mainly relied on implanted electrodes, since EEG-based systems have been considered too slow for controlling rapid and complex sequences of movements. We show that two human subjects successfully moved a robot between several rooms by mental control only, using an EEG-based brain-machine interface that recognized three mental states. Mental control was comparable to manual control on the same task with a performance ratio of 0.74.

Publication types

  • Comparative Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms*
  • Cerebral Cortex / physiology*
  • Cognition / physiology*
  • Cybernetics / methods
  • Electroencephalography / methods*
  • Evoked Potentials / physiology*
  • Humans
  • Pattern Recognition, Automated
  • Reproducibility of Results
  • Robotics / methods*
  • Sensitivity and Specificity
  • Task Performance and Analysis