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

Figueiredo, Nuno and Silva, Filipe and Georgieva, Petia and Milanova, Mariofanna and Mendi, Engin
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Date
2015
URI
http://hdl.handle.net/20.500.12498/4763
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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 disccussed and finally promising preliminary results are commented. The proposed concept has the potential to increase the reliability of BCI systems....  Show more  Show less
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Proceedings Paper
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  • WoS İndeksli Yayınlar Koleksiyonu [274]

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