TY - GEN
T1 - Detemination of decision moments in EEG signals using DWT
AU - Ayhan, Tuba
AU - Şeker, Serhat
PY - 2011
Y1 - 2011
N2 - Wavelet transforms and wavelet based tools are widely used in EEG signal analysis. However, they are mainly used for seizure analysis or feature extraction tools for classification. In this paper, discrete wavelet transform (DWT) is used to answer a critical question of Brain Computer Interface (BCI). For a robot navigation application, if the moments that decision of the user changes are known, then the classification performance would increase since the correct time segment will be considered. Moreover, communication cost is reduced because the robot is only controlled at the decision moments.
AB - Wavelet transforms and wavelet based tools are widely used in EEG signal analysis. However, they are mainly used for seizure analysis or feature extraction tools for classification. In this paper, discrete wavelet transform (DWT) is used to answer a critical question of Brain Computer Interface (BCI). For a robot navigation application, if the moments that decision of the user changes are known, then the classification performance would increase since the correct time segment will be considered. Moreover, communication cost is reduced because the robot is only controlled at the decision moments.
KW - Brain computer interface
KW - Discrete wavelet transform
KW - EEG
UR - https://www.scopus.com/pages/publications/79961194570
U2 - 10.1109/INISTA.2011.5946073
DO - 10.1109/INISTA.2011.5946073
M3 - Conference contribution
AN - SCOPUS:79961194570
SN - 9781612849195
T3 - INISTA 2011 - 2011 International Symposium on INnovations in Intelligent SysTems and Applications
SP - 268
EP - 271
BT - INISTA 2011 - 2011 International Symposium on INnovations in Intelligent SysTems and Applications
T2 - 2011 International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2011
Y2 - 15 June 2011 through 18 June 2011
ER -