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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| Veröffentlicht in: | Neural networks 2005-05, Vol.18 (4), p.389-405 |
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| container_title | Neural networks |
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| creator | Fragopanagos, N. Taylor, J.G. |
| description | 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. |
| doi_str_mv | 10.1016/j.neunet.2005.03.006 |
| format | Article |
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| ispartof | Neural networks, 2005-05, Vol.18 (4), p.389-405 |
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| language | eng |
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| source | MEDLINE; ScienceDirect Journals (5 years ago - present) |
| 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 |
| title | Emotion recognition in human–computer interaction |
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