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

dc.contributor.author	FIGUEIREDO, Nuno
dc.contributor.author	SILVA, Filipe
dc.contributor.author	GEORGIEVA, Petia
dc.contributor.author	MILANOVA, Mariofanna
dc.contributor.author	MENDİ, Engin
dc.date.accessioned	2020-08-07T13:00:40Z
dc.date.available	2020-08-07T13:00:40Z
dc.date.issued	2015
dc.identifier	10.1007/978-3-319-14899-1_12
dc.identifier.issn	03029743 (ISSN); 9783319148984 (ISBN)
dc.identifier.uri	http://hdl.handle.net/20.500.12498/3109
dc.description.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. © Springer International Publishing Switzerland 2015.
dc.language.iso	English
dc.publisher	Springer Verlag
dc.source	3rd IAPR TC3 Workshop on Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction, MPRSS 2014
dc.title	Towards and Adaptive Brain- Computer Interface- An Error Potential Approach
dc.type	Konferans Bildirisi