@incollection{springerlink:10.1007/978-3-642-21501-8_42,
author = "Velasco {\'A}lvarez, Francisco and Ron Angev{\'i}n, Ricardo and da Silva Sauer, Leandro and Sancha Ros, Salvador and Blanca Mena, Mar{\'i}a",
abstract = "In this work, an electroencephalographic analysis-based, self-paced
	(asynchronous) brain-computer interface (BCI) is proposed to control
	a virtual wheelchair using three different navigation commands: turn
	right, turn left and move forward. In order to reduce the probability
	of misclassification, the BCI is to be controlled with only two mental
	tasks (relaxed state versus imagination of right hand movements)
	using an audio-cued interface. Six healthy subjects participated
	in the experiment. After two training sessions controlling a wheelchair
	in a virtual environment using both a visual and auditory interface,
	all subjects successfully controlled the wheelchair in the last session,
	where the interface was only auditory. The obtained results support
	the use of the proposed interface to control a real wheelchair without
	the need of a screen to provide visual stimuli or feedback.",
booktitle = "Advances in Computational Intelligence",
editor = "Cabestany, Joan and Rojas, Ignacio and Joya, Gonzalo",
isbn = "9783642215001",
note = "10.1007/978-3-642-21501-8_42",
pages = "337-344",
publisher = "Springer Berlin / Heidelberg",
series = "Lecture Notes in Computer Science",
title = "{A}udio-{C}ued {SMR} {B}rain-{C}omputer {I}nterface to {D}rive a {V}irtual {W}heelchair",
url = "http://dx.doi.org/10.1007/978-3-642-21501-8_42",
volume = "6691",
year = "2011",
}