Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-6488
Main Title: The hybrid brain-computer interface: a bridge to assistive technology?
Author(s): Müller-Putz, Gernot R.
Schreuder, Martijn
Tangermann, Michael
Leeb, R.
Millán del, R. J.
Type: Article
Language Code: en
Abstract: Brain-Computer Interfaces (BCIs) can be extended by other input signals to form a so-called hybrid BCI (hBCI). Such an hBCI allows the processing of several input signals with at least one brain signal for control purposes, i.e. communication and environmental control. This work shows the principle, technology and application of hBCIs and discusses future objectives.
URI: https://depositonce.tu-berlin.de//handle/11303/7213
http://dx.doi.org/10.14279/depositonce-6488
Issue Date: 2013
Date Available: 29-Nov-2017
DDC Class: 610 Medizin, Gesundheit
Subject(s): hybrid BCI
electroencephalogram
EEG
assistive technology
Sponsor/Funder: EC/FP7/224631/EU/Tools for Brain-Computer Interaction/TOBI
EC/FP7/288566/EU/Brain-neural computer interfaces on track to home – Development of a practical generation of BNCI for independent home use/BackHome
Usage rights: Terms of German Copyright Law
Journal Title: Biomedical engineering = Biomedizinische Technik
Publisher: De Gruyter
Publisher Place: Berlin [u.a.]
Volume: 58
Issue: Suppl. 1
Publisher DOI: 10.1515/bmt-2013-4435
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:Fachgebiet Maschinelles Lernen » Publications

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