TY - GEN
T1 - Stationary common spatial patterns
T2 - 36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011
AU - Wojcikiewicz, Wojciech
AU - Vidaurre, Carmen
AU - Kawanabe, Motoaki
PY - 2011
Y1 - 2011
N2 - 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 signals to a low-dimensional subspace using Common Spatial Patterns (CSP). However, non-stationarities in the data can negatively affect the performance of CSP, i.e. variation of the signal properties within and across experimental sessions coming from electrode artefacts, alpha or muscular activity, or fatigue may result in suboptimal projection directions. We alleviate this problem by regularizing CSP towards stationary subspaces and show that this especially increases classification accuracy of people who are not able to control a BCI i.e. have more than 30% of error. These users very often show non-stationarities in their EEG signals.
AB - 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 signals to a low-dimensional subspace using Common Spatial Patterns (CSP). However, non-stationarities in the data can negatively affect the performance of CSP, i.e. variation of the signal properties within and across experimental sessions coming from electrode artefacts, alpha or muscular activity, or fatigue may result in suboptimal projection directions. We alleviate this problem by regularizing CSP towards stationary subspaces and show that this especially increases classification accuracy of people who are not able to control a BCI i.e. have more than 30% of error. These users very often show non-stationarities in their EEG signals.
KW - Brain-Computer Interface
KW - Common Spatial Patterns
KW - Non-Stationarity
UR - https://www.scopus.com/pages/publications/80051610358
U2 - 10.1109/ICASSP.2011.5946469
DO - 10.1109/ICASSP.2011.5946469
M3 - Conference contribution
AN - SCOPUS:80051610358
SN - 9781457705397
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 577
EP - 580
BT - 2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings
Y2 - 22 May 2011 through 27 May 2011
ER -