TY - GEN
T1 - Across-subject estimation of 3-back task performance using EEG signals
AU - Kim, Jinsoo
AU - Kim, Min Ki
AU - Wallraven, Christian
AU - Kim, Sung Phil
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2015/1/12
Y1 - 2015/1/12
N2 - This study was aimed at estimating subjects' 3-back working memory task error rate using electroencephalogram (EEG) signals. Firstly, spatio-temporal band power features were selected based on statistical significance of across-subject correlation with the task error rate. Method-wise, ensemble network model was adopted where multiple artificial neural networks were trained independently and produced separate estimates to be later on aggregated to form a single estimated value. The task error rate of all subjects were estimated in a leave-one-out cross-validation scheme. While a simple linear method underperformed, the proposed model successfully obtained highly accurate estimates despite being restrained by very small sample size.
AB - This study was aimed at estimating subjects' 3-back working memory task error rate using electroencephalogram (EEG) signals. Firstly, spatio-temporal band power features were selected based on statistical significance of across-subject correlation with the task error rate. Method-wise, ensemble network model was adopted where multiple artificial neural networks were trained independently and produced separate estimates to be later on aggregated to form a single estimated value. The task error rate of all subjects were estimated in a leave-one-out cross-validation scheme. While a simple linear method underperformed, the proposed model successfully obtained highly accurate estimates despite being restrained by very small sample size.
KW - Artificial neural network
KW - Committee of machines
KW - EEG
KW - N-back task
KW - Network ensemble
UR - http://www.scopus.com/inward/record.url?scp=84922979729&partnerID=8YFLogxK
U2 - 10.1109/CIBCI.2014.7007785
DO - 10.1109/CIBCI.2014.7007785
M3 - Conference contribution
AN - SCOPUS:84922979729
T3 - IEEE SSCI 2014 - 2014 IEEE Symposium Series on Computational Intelligence - CIBCI 2014: 2014 IEEE Symposium on Computational Intelligence in Brain Computer Interfaces, Proceedings
SP - 5
EP - 9
BT - IEEE SSCI 2014 - 2014 IEEE Symposium Series on Computational Intelligence - CIBCI 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE Symposium on Computational Intelligence in Brain Computer Interfaces, CIBCI 2014
Y2 - 9 December 2014 through 12 December 2014
ER -