IEEE Transanctions in Biomedical Engineering
Non-invasive Brain actuated control of a mobile robot by Human EEG
J. del R. Millan and F. Renkens and J. Mourino and W. Gerstner
Brain activity recorded non-invasively is sufficient to control
a moblie robot if advanced robotics is used in combination
with asynchronous EEG analysis and machine learning techniques.
Until now brain-actuated control has mainly relied on
implanted electrodes, since EEG based systems have bben considered
tto 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 preformance ration of 0.74.