title: Emotion recognition in human-computer interaction.
abstract: 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.
authors.affiliation: Department of Mathematics, King's College, Strand, London WC2 R2LS, UK. nickolaos.fragopanagos@kcl.ac.uk
authors.forename: N
authors.initials: N
authors.lastname: Fragopanagos
authors.forename: J G
authors.initials: JG
authors.lastname: Taylor
mesh_terms: D001288:Attention / Q000502:physiology; D003201:Computers; D004644:Emotions / Q000502:physiology*; D005149:Facial Expression; D006801:Humans; D007858:Learning; D008328:Man-Machine Systems; D016571:Neural Networks, Computer; D021641:Recognition, Psychology / Q000502:physiology*; D014584:User-Computer Interface