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Toward FRP-Based Brain-Machine Interfaces—Single-Trial Classification of Fixation-Related Potentials

The co-registration of eye tracking and electroencephalography provides a holistic measure of ongoing cognitive processes. Recently, fixation-related potentials have been introduced to quantify the neural activity in such bi-modal recordings. Fixation-related potentials are time-locked to fixation o...

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Autores principales: Finke, Andrea, Essig, Kai, Marchioro, Giuseppe, Ritter, Helge
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4727887/
https://www.ncbi.nlm.nih.gov/pubmed/26812487
http://dx.doi.org/10.1371/journal.pone.0146848
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author Finke, Andrea
Essig, Kai
Marchioro, Giuseppe
Ritter, Helge
author_facet Finke, Andrea
Essig, Kai
Marchioro, Giuseppe
Ritter, Helge
author_sort Finke, Andrea
collection PubMed
description The co-registration of eye tracking and electroencephalography provides a holistic measure of ongoing cognitive processes. Recently, fixation-related potentials have been introduced to quantify the neural activity in such bi-modal recordings. Fixation-related potentials are time-locked to fixation onsets, just like event-related potentials are locked to stimulus onsets. Compared to existing electroencephalography-based brain-machine interfaces that depend on visual stimuli, fixation-related potentials have the advantages that they can be used in free, unconstrained viewing conditions and can also be classified on a single-trial level. Thus, fixation-related potentials have the potential to allow for conceptually different brain-machine interfaces that directly interpret cortical activity related to the visual processing of specific objects. However, existing research has investigated fixation-related potentials only with very restricted and highly unnatural stimuli in simple search tasks while participant’s body movements were restricted. We present a study where we relieved many of these restrictions while retaining some control by using a gaze-contingent visual search task. In our study, participants had to find a target object out of 12 complex and everyday objects presented on a screen while the electrical activity of the brain and eye movements were recorded simultaneously. Our results show that our proposed method for the classification of fixation-related potentials can clearly discriminate between fixations on relevant, non-relevant and background areas. Furthermore, we show that our classification approach generalizes not only to different test sets from the same participant, but also across participants. These results promise to open novel avenues for exploiting fixation-related potentials in electroencephalography-based brain-machine interfaces and thus providing a novel means for intuitive human-machine interaction.
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spelling pubmed-47278872016-02-03 Toward FRP-Based Brain-Machine Interfaces—Single-Trial Classification of Fixation-Related Potentials Finke, Andrea Essig, Kai Marchioro, Giuseppe Ritter, Helge PLoS One Research Article The co-registration of eye tracking and electroencephalography provides a holistic measure of ongoing cognitive processes. Recently, fixation-related potentials have been introduced to quantify the neural activity in such bi-modal recordings. Fixation-related potentials are time-locked to fixation onsets, just like event-related potentials are locked to stimulus onsets. Compared to existing electroencephalography-based brain-machine interfaces that depend on visual stimuli, fixation-related potentials have the advantages that they can be used in free, unconstrained viewing conditions and can also be classified on a single-trial level. Thus, fixation-related potentials have the potential to allow for conceptually different brain-machine interfaces that directly interpret cortical activity related to the visual processing of specific objects. However, existing research has investigated fixation-related potentials only with very restricted and highly unnatural stimuli in simple search tasks while participant’s body movements were restricted. We present a study where we relieved many of these restrictions while retaining some control by using a gaze-contingent visual search task. In our study, participants had to find a target object out of 12 complex and everyday objects presented on a screen while the electrical activity of the brain and eye movements were recorded simultaneously. Our results show that our proposed method for the classification of fixation-related potentials can clearly discriminate between fixations on relevant, non-relevant and background areas. Furthermore, we show that our classification approach generalizes not only to different test sets from the same participant, but also across participants. These results promise to open novel avenues for exploiting fixation-related potentials in electroencephalography-based brain-machine interfaces and thus providing a novel means for intuitive human-machine interaction. Public Library of Science 2016-01-26 /pmc/articles/PMC4727887/ /pubmed/26812487 http://dx.doi.org/10.1371/journal.pone.0146848 Text en © 2016 Finke et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Finke, Andrea
Essig, Kai
Marchioro, Giuseppe
Ritter, Helge
Toward FRP-Based Brain-Machine Interfaces—Single-Trial Classification of Fixation-Related Potentials
title Toward FRP-Based Brain-Machine Interfaces—Single-Trial Classification of Fixation-Related Potentials
title_full Toward FRP-Based Brain-Machine Interfaces—Single-Trial Classification of Fixation-Related Potentials
title_fullStr Toward FRP-Based Brain-Machine Interfaces—Single-Trial Classification of Fixation-Related Potentials
title_full_unstemmed Toward FRP-Based Brain-Machine Interfaces—Single-Trial Classification of Fixation-Related Potentials
title_short Toward FRP-Based Brain-Machine Interfaces—Single-Trial Classification of Fixation-Related Potentials
title_sort toward frp-based brain-machine interfaces—single-trial classification of fixation-related potentials
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4727887/
https://www.ncbi.nlm.nih.gov/pubmed/26812487
http://dx.doi.org/10.1371/journal.pone.0146848
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