論文

査読有り
2012年

Brain-Computer Interfacing in Discriminative and Stationary Subspaces

2012 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)
  • Wojciech Samek
  • ,
  • Klaus-Robert Mueller
  • ,
  • Motoaki Kawanabe
  • ,
  • Carmen Vidaurre

開始ページ
2873
終了ページ
2876
記述言語
英語
掲載種別
研究論文(国際会議プロシーディングス)
DOI
10.1109/EMBC.2012.6346563
出版者・発行元
IEEE

The non-stationary nature of neurophysiological measurements, e. g. EEG, makes classification of motion intentions a demanding task. Variations in the underlying brain processes often lead to significant and unexpected changes in the feature distribution resulting in decreased classification accuracy in Brain Computer Interfacing (BCI). Several methods were developed to tackle this problem by either adapting to these changes or extracting features that are invariant. Recently, a method called Stationary Subspace Analysis (SSA) was proposed and applied to BCI data. It diminishes the influence of non-stationary changes as learning and classification is performed in a stationary subspace of the data which can be extracted by SSA. In this paper we extend this method in two ways. First we propose a variant of SSA that allows to extract stationary subspaces from labeled data without disregarding class-related variations or treating class-differences as non-stationarities. Second we propose a discriminant variant of SSA that trades-off stationarity and discriminativity, thus it allows to extract stationary subspaces without losing relevant information. We show that learning in a discriminative and stationary subspace is advantageous for BCI application and outperforms the standard SSA method.

Web of Science ® 被引用回数 : 14

リンク情報
DOI
https://doi.org/10.1109/EMBC.2012.6346563
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000313296503025&DestApp=WOS_CPL
URL
http://dblp.uni-trier.de/db/conf/embc/embc2012.html#conf/embc/SamekMKV12
ID情報
  • DOI : 10.1109/EMBC.2012.6346563
  • ISSN : 1557-170X
  • DBLP ID : conf/embc/SamekMKV12
  • Web of Science ID : WOS:000313296503025

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