An intelligent scheme for facial expression recognition

Authors:
Amaryllis Raouzaiou;Spiros Ioannou;Kostas Karpouzis;Nicolas Tsapatsoulis;Stefanos Kollias;Roddy Cowie
Affiliations:
Department of Electrical and Computer Engineering, National Technical University of Athens, Zographou, Greece;Department of Electrical and Computer Engineering, National Technical University of Athens, Zographou, Greece;Department of Electrical and Computer Engineering, National Technical University of Athens, Zographou, Greece;Department of Electrical and Computer Engineering, National Technical University of Athens, Zographou, Greece;Department of Electrical and Computer Engineering, National Technical University of Athens, Zographou, Greece;Department of Psychology, Queen's University of Belfast, Northern Ireland, United Kingdom
Venue:
ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing
Year:
2003

Citing 2
Cited 0

Parameterized facial expression synthesis based on MPEG-4

EURASIP Journal on Applied Signal Processing
Subsethood-product fuzzy neural inference system (SuPFuNIS)

IEEE Transactions on Neural Networks

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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.