摘要：We present the self-paced 3-class Graz brain-computer interface (BCI) which is based on the
detection of sensorimotor
electroencephalogram (EEG) rhythms induced by motor imagery. Self-paced operation means
that the BCI is able to determine
whether the ongoing brain activity is intended as control signal (intentional control) or not
(non-control state). The presented
system is able to automatically reduce electrooculogram (EOG) artifacts, to detect
electromyographic (EMG) activity, and uses
only three bipolar EEG channels. Two applications are presented: the freeSpace virtual
environment (VE) and the Brainloop
interface. The freeSpace is a computer-game-like application where subjects have to navigate
through the environment and
collect coins by autonomously selecting navigation commands. Three subjects participated in
these feedback experiments
and each learned to navigate through the VE and collect coins. Two out of the three succeeded
in collecting all three coins. The
Brainloop interface provides an interface between the Graz-BCI and Google Earth.
