Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-9387
Main Title: A gaze independent brain-computer interface based on visual stimulation through closed eyelids
Author(s): Hwang, Han-Jeong
Ferreria, Valeria Y.
Ulrich, Daniel
Kilic, Tayfun
Chatziliadis, Xenofon
Blankertz, Benjamin
Treder, Matthias
Type: Article
Language Code: en
Abstract: A classical brain-computer interface (BCI) based on visual event-related potentials (ERPs) is of limited application value for paralyzed patients with severe oculomotor impairments. In this study, we introduce a novel gaze independent BCI paradigm that can be potentially used for such end-users because visual stimuli are administered on closed eyelids. The paradigm involved verbally presented questions with 3 possible answers. Online BCI experiments were conducted with twelve healthy subjects, where they selected one option by attending to one of three different visual stimuli. It was confirmed that typical cognitive ERPs can be evidently modulated by the attention of a target stimulus in eyes-closed and gaze independent condition and further classified with high accuracy during online operation (74.58% ± 17.85 s.d.; chance level 33.33%), demonstrating the effectiveness of the proposed novel visual ERP paradigm. Also, stimulus-specific eye movements observed during stimulation were verified as reflex responses to light stimuli and they did not contribute to classification. To the best of our knowledge, this study is the first to show the possibility of using a gaze independent visual ERP paradigm in an eyes-closed condition, thereby providing another communication option for severely locked-in patients suffering from complex ocular dysfunctions.
URI: https://depositonce.tu-berlin.de/handle/11303/10435
http://dx.doi.org/10.14279/depositonce-9387
Issue Date: 29-Oct-2015
Date Available: 3-Dec-2019
DDC Class: 150 Psychologie
610 Medizin und Gesundheit
Subject(s): brain-computer interface
BCI
visual event-related potentials
ERPs
Sponsor/Funder: BMBF, 01GQ0850, Bernstein Fokus Neurotechnologie - Nichtinvasive Neurotechnologie für Mensch-Maschine Interaktion
BMBF, 16SV5839, Maschinelles Lernen zur Optimierung der Kommunikation schwerstgelähmter Patienten per BCI
License: https://creativecommons.org/licenses/by/4.0/
Journal Title: Scientific Reports
Publisher: Springer Nature
Publisher Place: London
Volume: 5
Article Number: 15890
Publisher DOI: 10.1038/srep15890
EISSN: 2045-2322
Appears in Collections:FG Neurotechnologie » Publications

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