research-article

Brain-computer interface research at Katholieke Universiteit Leuven

Authors:

Nikolay V. Manyakov,

Nikolay Chumerin,

Marijn van Vliet,

Patrick A. De Mazière, and

Marc M. Van HulleAuthors Info & Claims

ISABEL '11: Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies

October 2011

Article No.: 67, Pages 1 - 5

https://doi.org/10.1145/2093698.2093765

Published: 26 October 2011 Publication History

Abstract

We present an overview of our Brain-computer interface (BCI) research, invasive as well as non-invasive, during the past four years. The invasive BCIs are based on local field-and action potentials recorded with microelectrode arrays implanted in the visual cortex of the macaque monkey. The non-invasive BCIs are based on electroencephalogram (EEG) recorded from a human subject's scalp. Several EEG paradigms were used to enable the subject to type text or to select icons on a computer screen, without having to rely on one's fingers, gestures, or any other form of motor activity: the P300 event-related potential, the steady-state visual evoked potential, and the error related potential. We report on the status of our EEG BCI tests on healthy subjects as well as patients with severe communication disabilities, and our demonstrations to a broad audience to raise the public awareness of BCI.

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Cited By

Szalowski APicovici D(2019)Testing performance of multicolour checkerboard flickers against their greyscale versions for SSVEP-based BCI2019 7th International Winter Conference on Brain-Computer Interface (BCI)10.1109/IWW-BCI.2019.8737261(1-6)Online publication date: Feb-2019
https://doi.org/10.1109/IWW-BCI.2019.8737261
Szalowski APicovici D(2019)The element of user training for SSVEP-based BCI2019 30th Irish Signals and Systems Conference (ISSC)10.1109/ISSC.2019.8904935(1-6)Online publication date: Jun-2019
https://doi.org/10.1109/ISSC.2019.8904935
Szalowski APicovici D(2018)The influence of flickering patterns on the quality of brain signals for Brain-Computer Interface2018 29th Irish Signals and Systems Conference (ISSC)10.1109/ISSC.2018.8585359(1-6)Online publication date: Jun-2018
https://doi.org/10.1109/ISSC.2018.8585359
Show More Cited By

Index Terms

Brain-computer interface research at Katholieke Universiteit Leuven
1. Information systems
  1. Information systems applications

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ISABEL '11: Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies

October 2011

949 pages

ISBN:9781450309134

DOI:10.1145/2093698

Conference Chair:
Simone Frattasi,
Program Chair:
Nicola Marchetti

Copyright © 2011 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Universitat Pompeu Fabra
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Technical University of Catalonia Spain: Technical University of Catalonia (UPC), Spain
River Publishers: River Publishers
CTTC: Technological Center for Telecommunications of Catalonia
CTIF: Kyranova Ltd, Center for TeleInFrastruktur

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Association for Computing Machinery

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Published: 26 October 2011

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ISABEL '11

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Technical University of Catalonia Spain
River Publishers
CTTC
CTIF

ISABEL '11: International Symposium on Applied Sciences in Biomedical and Communication Technologies

October 26 - 29, 2011

Barcelona, Spain

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Cited By

Szalowski APicovici D(2019)Testing performance of multicolour checkerboard flickers against their greyscale versions for SSVEP-based BCI2019 7th International Winter Conference on Brain-Computer Interface (BCI)10.1109/IWW-BCI.2019.8737261(1-6)Online publication date: Feb-2019
https://doi.org/10.1109/IWW-BCI.2019.8737261
Szalowski APicovici D(2019)The element of user training for SSVEP-based BCI2019 30th Irish Signals and Systems Conference (ISSC)10.1109/ISSC.2019.8904935(1-6)Online publication date: Jun-2019
https://doi.org/10.1109/ISSC.2019.8904935
Szalowski APicovici D(2018)The influence of flickering patterns on the quality of brain signals for Brain-Computer Interface2018 29th Irish Signals and Systems Conference (ISSC)10.1109/ISSC.2018.8585359(1-6)Online publication date: Jun-2018
https://doi.org/10.1109/ISSC.2018.8585359
Szalowski APicovici D(2017)Investigating stimuli graphics' size and resolution performance in Steady State Visual Evoked Potential2017 28th Irish Signals and Systems Conference (ISSC)10.1109/ISSC.2017.7983618(1-6)Online publication date: Jun-2017
https://doi.org/10.1109/ISSC.2017.7983618
Szalowski APicovici D(2016)Investigating colour’s effect in stimulating brain oscillations for BCI systems2016 4th International Winter Conference on Brain-Computer Interface (BCI)10.1109/IWW-BCI.2016.7457449(1-4)Online publication date: Feb-2016
https://doi.org/10.1109/IWW-BCI.2016.7457449
Szalowski APicovici D(2016)Investigating brain signal peaks vs electroencephalograph electrode placement using multicolour 10Hz flickering graphics stimulation for Brain-computer Interface development2016 27th Irish Signals and Systems Conference (ISSC)10.1109/ISSC.2016.7528453(1-5)Online publication date: Jun-2016
https://doi.org/10.1109/ISSC.2016.7528453

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