Please use this identifier to cite or link to this item: http://ktisis.cut.ac.cy/handle/10488/189
Title: Adaptive Rule-Based Facial Expression Recognition
Authors: Ioannou, Spiros 
Raouzaiou, Amaryllis 
Karpouzis, Kostas 
Pertselakis, Minas 
Tsapatsoulis, Nicolas 
Kollias, Stefanos D. 
Keywords: Artificial intelligence--Congresses
Issue Date: 2004
Publisher: Springer Berlin / Heidelberg
Source: Methods and Applications of Artificial Intelligence, 2004, pp.466-475
Series/Report no.: Lecture Notes in Computer Science;
Abstract: This paper addresses the problem of emotion recognition in faces through an intelligent neuro- fuzzy system, which is capable of analysing facial features extracted following the MPEG-4 standard and classifying facial images according to the underlying emotional states, following rules derived from expression profiles. Results are presented which illustrate the capability of the developed system to analyse and recognise facial expressions in man-machine interaction applications.
Description: Third Hellenic Conference on AI, SETN 2004, Samos, Greece, May 5-8, 2004. Proceedings.
URI: http://ktisis.cut.ac.cy/handle/10488/189
ISBN: 9783540219378
DOI: 10.1007/978-3-540-24674-9_49
Rights: © Springer
Type: Book Chapter
Appears in Collections:Κεφάλαια βιβλίων/Book chapters

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