Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/2998
Title: | Adaptive Rule-Based Facial Expression Recognition | Authors: | Ioannou, Spiros Raouzaiou, Amaryllis Karpouzis, Kostas Pertselakis, Minas Tsapatsoulis, Nicolas Kollias, Stefanos D. |
metadata.dc.contributor.other: | Τσαπατσούλης, Νικόλας | Keywords: | Artificial intelligence--Congresses | Issue Date: | 2004 | 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: | https://hdl.handle.net/20.500.14279/2998 | ISBN: | 9783540219378 | DOI: | 10.1007/978-3-540-24674-9_49 | Rights: | © Springer | Type: | Book Chapter | Affiliation : | National Technical University Of Athens |
Appears in Collections: | Κεφάλαια βιβλίων/Book chapters |
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Tsapatsoulis_Adaptive Rule Based Facial.pdf | 220.72 kB | Adobe PDF | View/Open |
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