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  An integrated approach to emotion recognition for advanced emotional intelligence

Bamidis, P. D., Frantzidis, C. A., Konstantinidis, E. I., Luneski, A., Lithari, C., Klados, M., et al. (2009). An integrated approach to emotion recognition for advanced emotional intelligence. In Human-computer interaction: Ambient, ubiquitous and intelligent interaction (pp. 565-574). Berlin: Springer.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0024-C5E1-B Version Permalink: http://hdl.handle.net/21.11116/0000-0002-F9C3-9
Genre: Conference Paper

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 Creators:
Bamidis, Panagiotis D.1, Author
Frantzidis, Christos A.1, Author
Konstantinidis, Evdokimos I.1, Author
Luneski, Andrej1, Author
Lithari, Chrysa1, Author
Klados, Manousos1, Author              
Bratsas, Charalambos1, Author
Papadelis, Christos L.1, Author
Pappas, Costas1, Author
Affiliations:
1External Organizations, ou_persistent22              

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Free keywords: Emotion; Affective Computing; EEG; Skin Conductance; Avatar; Mahalanobis; classifier
 Abstract: Emotion identification is beginning to be considered as an essential feature in human-computer interaction. However, most of the studies are mainly focused on facial expression classifications and speech recognition and not much attention has been paid until recently to physiological pattern recognition. In this paper, an integrative approach is proposed to emotional interaction by fusing multi-modal signals. Subjects are exposed to pictures selected from the International Affective Picture System (IAPS). A feature extraction procedure is used to discriminate between four affective states by means of a Mahalanobis distance classifier. The average classifications rate (74.11%) was encouraging. Thus, the induced affective state is mirrored through an avatar by changing its facial characteristics and generating a voice message sympathising with the user’s mood. It is argued that multi-physiological patterning in combination with anthropomorphic avatars may contribute to the enhancement of affective multi-modal interfaces and the advancement of machine emotional intelligence.

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Language(s): eng - English
 Dates: 2009
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.1007/978-3-642-02580-8_62
 Degree: -

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Title: Human-computer interaction: Ambient, ubiquitous and intelligent interaction
Source Genre: Proceedings
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Publ. Info: Berlin : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 565 - 574 Identifier: ISBN: 3-642-02579-X