Please use this identifier to cite or link to this item:
Main Title: Zero training for BCI – Reality for BCI systems based on event-related potentials
Author(s): Tangermann, Michael
Kindermans, Pieter-Jan
Schreuder, Martijn
Schrauwen, Benjamin
Müller, Klaus-Robert
Type: Article
Language Code: en
Abstract: This contribution reviews how usability in Brain- Computer Interfaces (BCI) can be enhanced. As an example, an unsupervised signal processing approach is presented, which tackles usability by an algorithmic improvement from the field of machine learning. The approach completely omits the necessity of a calibration recording for BCIs based on event-related potential (ERP) paradigms. The positive effect is twofold - first, the experimental time is shortened and the productive online use of the BCI system starts as early as possible. Second, the unsupervised session avoids the usual paradigmatic break between calibration phase and online phase, which is known to introduce data-analytic problems related to non-stationarity.
Issue Date: 2013
Date Available: 29-Nov-2017
DDC Class: 610 Medizin und Gesundheit
Subject(s): brain-computer interface
machine learning|unsupervised classification
event-related potentials
spatial auditory attention
Journal Title: Biomedical engineering = Biomedizinische Technik
Publisher: De Gruyter
Publisher Place: Berlin [u.a.]
Volume: 58
Issue: Suppl. 1
Publisher DOI: 10.1515/bmt-2013-4439
EISSN: 0013-5585
ISSN: 1862-278X
Notes: Dieser Beitrag ist mit Zustimmung des Rechteinhabers aufgrund einer (DFG geförderten) Allianz- bzw. Nationallizenz frei zugänglich.
This publication is with permission of the rights owner freely accessible due to an Alliance licence and a national licence (funded by the DFG, German Research Foundation) respectively.
Appears in Collections:FG Maschinelles Lernen » Publications

Files in This Item:
File Description SizeFormat 
bmt-2013-4439.pdf116.95 kBAdobe PDFThumbnail

Items in DepositOnce are protected by copyright, with all rights reserved, unless otherwise indicated.