Hybrid EEG-based BCI user interface for action selection

J. Pascual; R. Lorenz; B. Blankertz; C. Vidaurre

doi:10.1007/978-3-642-34546-3_193

Hybrid EEG-based BCI user interface for action selection

J. Pascual^*
, R. Lorenz
, B. Blankertz
, C. Vidaurre

^*Corresponding author for this work

Technical University of Berlin

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

1 Citation (Scopus)

Abstract

In this study we developed a Graphical User Interface (GUI) to control a Brain-Computer Interface (BCI) by means of Event Related Potentials (ERP) and/or Motor Imagery (MI). It allows users to select actions to operate an upper-limb neuroprosthesis. The action’s selection is divided into 2 steps: choice and confirmation, which can be controlled using ERP or MI. We also present results of experiments with 12 participants who used this GUI and show that high performance is achieved with all possible combinations of paradigms. The GUI mode in which both the selection and confirmation steps use the ERP paradigm obtains the highest accuracy.

Original language	English
Title of host publication	Biosystems and Biorobotics
Publisher	Springer International Publishing
Pages	1171-1175
Number of pages	5
DOIs	https://doi.org/10.1007/978-3-642-34546-3_193
Publication status	Published - 2013
Externally published	Yes

Publication series

Name	Biosystems and Biorobotics
Volume	1
ISSN (Print)	2195-3562
ISSN (Electronic)	2195-3570

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10.1007/978-3-642-34546-3_193

Cite this

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abstract = "In this study we developed a Graphical User Interface (GUI) to control a Brain-Computer Interface (BCI) by means of Event Related Potentials (ERP) and/or Motor Imagery (MI). It allows users to select actions to operate an upper-limb neuroprosthesis. The action{\textquoteright}s selection is divided into 2 steps: choice and confirmation, which can be controlled using ERP or MI. We also present results of experiments with 12 participants who used this GUI and show that high performance is achieved with all possible combinations of paradigms. The GUI mode in which both the selection and confirmation steps use the ERP paradigm obtains the highest accuracy.",

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AU - Blankertz, B.

AU - Vidaurre, C.

PY - 2013

Y1 - 2013

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AB - In this study we developed a Graphical User Interface (GUI) to control a Brain-Computer Interface (BCI) by means of Event Related Potentials (ERP) and/or Motor Imagery (MI). It allows users to select actions to operate an upper-limb neuroprosthesis. The action’s selection is divided into 2 steps: choice and confirmation, which can be controlled using ERP or MI. We also present results of experiments with 12 participants who used this GUI and show that high performance is achieved with all possible combinations of paradigms. The GUI mode in which both the selection and confirmation steps use the ERP paradigm obtains the highest accuracy.

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PB - Springer International Publishing

ER -

Hybrid EEG-based BCI user interface for action selection

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