TY - GEN
T1 - Adaptive extraction of emotion-related EEG segments using multidimensional directed information in time-frequency domain
AU - Petrantonakis, Panagiotis C.
AU - Hadjileontiadis, Leontios J.
PY - 2010
Y1 - 2010
N2 - Emotion discrimination from electroencephalogram (EEG) has gained attention the last decade as a user-friendly and effective approach to EEG-based emotion recognition (EEG-ER) systems. Nevertheless, challenging issues regarding the emotion elicitation procedure, especially its effectiveness, raise. In this work, a novel method, which not only evaluates the degree of emotion elicitation but localizes the emotion information in the time-frequency domain, as well, is proposed. The latter, incorporates multidimensional directed information at the time-frequency EEG representation, extracted using empirical mode decomposition, and introduces an asymmetry index for adaptive emotion-related EEG segment selection. Experimental results derived from 16 subjects visually stimulated with pictures from the valence/arousal space drawn from the International Affective Picture System database, justify the effectiveness of the proposed approach and its potential contribution to the enhancement of EEG-ER systems.
AB - Emotion discrimination from electroencephalogram (EEG) has gained attention the last decade as a user-friendly and effective approach to EEG-based emotion recognition (EEG-ER) systems. Nevertheless, challenging issues regarding the emotion elicitation procedure, especially its effectiveness, raise. In this work, a novel method, which not only evaluates the degree of emotion elicitation but localizes the emotion information in the time-frequency domain, as well, is proposed. The latter, incorporates multidimensional directed information at the time-frequency EEG representation, extracted using empirical mode decomposition, and introduces an asymmetry index for adaptive emotion-related EEG segment selection. Experimental results derived from 16 subjects visually stimulated with pictures from the valence/arousal space drawn from the International Affective Picture System database, justify the effectiveness of the proposed approach and its potential contribution to the enhancement of EEG-ER systems.
UR - http://www.scopus.com/inward/record.url?scp=78650838684&partnerID=8YFLogxK
U2 - 10.1109/IEMBS.2010.5626588
DO - 10.1109/IEMBS.2010.5626588
M3 - Conference contribution
C2 - 21096088
AN - SCOPUS:78650838684
SN - 9781424441235
T3 - 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10
SP - 1
EP - 4
BT - 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10
PB - IEEE Computer Society
ER -