PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Two-dimensional auditory P300 Speller with predictive text system
Johannes Höhne, Martijn Schreuder, Benjamin Blankertz and Michael Tangermann
Conf Proc IEEE Eng Med Biol Soc Volume 1, pp. 4185-4188, 2010.

Abstract

P300-based Brain Computer Interfaces offer communication pathways which are independent of muscle activity. Mostly visual stimuli, e.g. blinking of different letters are used as a paradigm of interaction. Neural degenerative diseases like amyotrophic lateral sclerosis (ALS) also cause a decrease in sight, but the ability of hearing is usually unaffected. Therefore, the use of the auditory modality might be preferable. This work presents a multiclass BCI paradigm using two-dimensional auditory stimuli: cues are varying in pitch (high/medium/low) and location (left/middle/right). The resulting nine different classes are embedded in a predictive text system, enabling to spell a letter with a 9-class decision. Moreover, an unbalanced subtrial selection is investigated and compared to the wellestablished sequence-wise paradigm. Twelve healthy subjects participated in an online study to investigate these approaches.

EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Brain Computer Interfaces
ID Code:7797
Deposited By:Benjamin Blankertz
Deposited On:17 March 2011