title: The self-paced graz brain-computer interface: methods and applications.
abstract: 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.
authors: Laboratory of Brain-Computer Interfaces, Institute for Knowledge Discovery, Graz University of Technology, Krenngasse 37, 8010 Graz, Austria. reinhold.scherer@tugraz.at
authors: Reinhold
authors: R
authors: Scherer
authors: Alois
authors: A
authors: Schloegl
authors: Felix
authors: F
authors: Lee
authors: Horst
authors: H
authors: Bischof
authors: Janez
authors: J
authors: Jansa
authors: Gert
authors: G
authors: Pfurtscheller