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Automatic Image Collection of Objects with Similar Function by Learning Human Grasping Forms Read chapter Read first chapter

2015 | OriginalPaper | Chapter

Towards an Adaptive Brain-Computer Interface – An Error Potential Approach

Authors : Nuno Figueiredo, Filipe Silva, Petia Georgieva, Mariofanna Milanova, Engin Mendi

Published in: Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction

Publisher: Springer International Publishing

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Abstract

In this paper a new adaptive Brain Computer Interface (BCI) architecture is proposed that allows to autonomously adapt the BCI parameters in malfunctioning situations. Such situations are detected by discriminating EEG Error Potentials and when necessary the BCI mode is switched back to the training stage in order to improve its performance. First, the modules of the adaptive BCI are presented, then the scenarios for identification of the user reaction to intentionally introduced errors are discussed and finally promising preliminary results are commented. The proposed concept has the potential to increase the reliability of BCI systems.

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Metadata
Title
Towards an Adaptive Brain-Computer Interface – An Error Potential Approach
Authors
Nuno Figueiredo
Filipe Silva
Petia Georgieva
Mariofanna Milanova
Engin Mendi
Copyright Year
2015
Book
Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction

Print ISBN: 978-3-319-14898-4

Electronic ISBN: 978-3-319-14899-1

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-3-319-14899-1_12

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