Emotion recognition in human–computer interaction

In this paper, we outline the approach we have developed to construct an emotion-recognising system. It is based on guidance from psychological studies of emotion, as well as from the nature of emotion in its interaction with attention. A neural network architecture is constructed to be able to hand...

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Bibliographic Details
Published in:Neural networks 2005-05, Vol.18 (4), p.389-405
Main Authors: Fragopanagos, N., Taylor, J.G.
Format: Article
Language:English
Subjects:
Attention - physiology
Attention control
Computers
Emotion classification
Emotion data sets
Emotions
Emotions - physiology
Face feature analysis
Facial Expression
Feedback learning
Humans
Learning
Lexical content
Man-Machine Systems
Neural Networks (Computer)
Prosody
Recognition (Psychology) - physiology
Relaxation
Sigma–pi neural networks
User-Computer Interface
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Summary:In this paper, we outline the approach we have developed to construct an emotion-recognising system. It is based on guidance from psychological studies of emotion, as well as from the nature of emotion in its interaction with attention. A neural network architecture is constructed to be able to handle the fusion of different modalities (facial features, prosody and lexical content in speech). Results from the network are given and their implications discussed, as are implications for future direction for the research.
ISSN:0893-6080
1879-2782
DOI:10.1016/j.neunet.2005.03.006