Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/2928
Title: An Intelligent Scheme for Facial Expression Recognition
Authors: Raouzaiou, Amaryllis 
Ioannou, Spiros 
Karpouzis, Kostas 
Tsapatsoulis, Nicolas 
Kollias, Stefanos D. 
Cowie, Roddy I D 
metadata.dc.contributor.other: Τσαπατσούλης, Νικόλας
Major Field of Science: Natural Sciences
Field Category: Computer and Information Sciences
Keywords: Neural networks (Computer science)--Congresses
Issue Date: 2003
Source: Artificial Neural Networks and Neural Information Processing — ICANN/ICONIP 2003, p.182
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, associating these features to symbolic fuzzy predicates, and reasoning on the latter, so as to classify facial images according to the underlying emotional states. Results are presented which illustrate the capability of the developed system to analyse and recognise facial expressions in human computer interaction applications.
Description: ICANN/ICONIP 2003,(2003,Istanbul,Turkey)
URI: https://hdl.handle.net/20.500.14279/2928
ISBN: 9783540404088
DOI: 10.1007/3-540-44989-2_132
Rights: © Springer
Type: Book Chapter
Affiliation : National Technical University Of Athens 
Queen’s University Belfast 
Appears in Collections:Κεφάλαια βιβλίων/Book chapters

Files in This Item:
File Description SizeFormat
Tsapatsoulis_An Intelligent Scheme for Facial.pdf123.53 kBAdobe PDFView/Open
CORE Recommender
Show full item record

SCOPUSTM   
Citations 20

6
checked on Nov 9, 2023

Page view(s) 5

592
Last Week
4
Last month
27
checked on Apr 27, 2024

Download(s) 5

372
checked on Apr 27, 2024

Google ScholarTM

Check

Altmetric


Items in KTISIS are protected by copyright, with all rights reserved, unless otherwise indicated.