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» Invariant Common Spatial Patterns: Alleviating Nonstationari...
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NIPS
2007
13 years 8 months ago
Invariant Common Spatial Patterns: Alleviating Nonstationarities in Brain-Computer Interfacing
Brain-Computer Interfaces can suffer from a large variance of the subject conditions within and across sessions. For example vigilance fluctuations in the individual, variable ta...
Benjamin Blankertz, Motoaki Kawanabe, Ryota Tomiok...
ICASSP
2011
IEEE
12 years 10 months ago
Stationary Common Spatial Patterns: Towards robust classification of non-stationary EEG signals
Brain-Computer Interfaces (BCIs) allow a user to control a computer application by brain activity as acquired, e.g., by EEG. A standard step in a BCI system is to project the EEG ...
Wojciech Wojcikiewicz, Carmen Vidaurre, Motoaki Ka...
BMEI
2009
IEEE
13 years 8 months ago
A Framework of Adaptive Brain Computer Interfaces
Non-stationarity is often found in session-to-session transfers of Brain Computer Interfaces (BCIs). To cope with the problem, a framework based on Common Spatial Patterns (CSP), ...
Yan Li, Yasuharu Koike, Masashi Sugiyama
IJCNN
2008
IEEE
14 years 1 months ago
Incremental Common Spatial Pattern algorithm for BCI
— A major challenge in applying machine learning methods to Brain-Computer Interfaces (BCIs) is to overcome the on-line non-stationarity of the data blocks. An effective BCI syst...
Qibin Zhao, Liqing Zhang, Andrzej Cichocki, Jie Li