TY - CHAP
U1 - KonferenzverĂ¶ffentlichung
A1 - Heisenberg, Gernot
A1 - Natarajan, Ramesh K.
A1 - Rezaei, Yashar A.
A1 - Simon, Nicolas
A1 - Heiden, Wolfgang
T1 - Robust EEG time series transient detection with a momentary frequency estimator for the indication of an emotional change
T2 - 6th Workshop of Emotion and Computing at the 35th German Conference on Artificial Intelligence (KI 2012)
N2 - This paper describes adaptive time frequency analysis of EEG signals, both in theory as well as in practice. A momentary frequency estimation algorithm is discussed and applied to EEG time series of test persons performing a concentration experiment. The motivation for deriving and implementing a time frequency estimator is the assumption that an emotional change implies a transient in the measured EEG time series, which again are superimposed by biological white noise as well as artifacts. It will be shown how accurately and robustly the estimator detects the transient even under such complicated conditions.
KW - momentary frequency
KW - emotion computing
KW - EEG
KW - time series processing
KW - adaptive filters
KW - affective computing
KW - brain computer interfaces
Y1 - 2012
ER -