On Emotion Recognition of Faces and of Speech Using Neural Networks, Fuzzy Logic and the ASSESS System

Fellenz, W; Taylor, J; Cowie, R; Douglas-cowie, E; Piat, F; Kollias, S; Orovas, C; Apolloni, B

dc.contributor.author	Fellenz, W	en
dc.contributor.author	Taylor, J	en
dc.contributor.author	Cowie, R	en
dc.contributor.author	Douglas-cowie, E	en
dc.contributor.author	Piat, F	en
dc.contributor.author	Kollias, S	en
dc.contributor.author	Orovas, C	en
dc.contributor.author	Apolloni, B	en
dc.date.accessioned	2014-03-01T02:48:59Z
dc.date.available	2014-03-01T02:48:59Z
dc.date.issued	2000	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/34190
dc.subject	Emotion Recognition	en
dc.subject	Emotional Expression	en
dc.subject	Fuzzy Logic	en
dc.subject	Image Sequence	en
dc.subject	Neural Network	en
dc.title	On Emotion Recognition of Faces and of Speech Using Neural Networks, Fuzzy Logic and the ASSESS System	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/IJCNN.2000.857880	en
heal.identifier.secondary	http://dx.doi.org/10.1109/IJCNN.2000.857880	en
heal.publicationDate	2000	en
heal.abstract	We propose a framework for the processing of face image sequences and speech, using different dynamic techniques to extract appropriate features for emotion recognition. The features will be used by a hybrid classification procedure, employing neural network techniques and fuzzy logic, to accumulate the evidence for the presence of an emotional expression of the face and the speaker's voice	en
heal.journalName	International Joint Conference on Neural Networks	en
dc.identifier.doi	10.1109/IJCNN.2000.857880	en