Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/1950
Title: Emotion Recognition in Human-Computer Interaction
Authors: Cowie, Roddy I D 
Douglas-Cowie, Ellen 
Tsapatsoulis, Nicolas 
Votsis, George 
Taylor, John G. 
Kollias, Stefanos D. 
Fellenz, Winfried A. 
metadata.dc.contributor.other: Τσαπατσούλης, Νικόλας
Major Field of Science: Social Sciences
Field Category: SOCIAL SCIENCES
Keywords: Human-Computer interaction
Issue Date: Jan-2001
Source: Signal Processing Magazine IEEE, 2001, vol. 18, no. 1, pp. 32-80
Volume: 18
Issue: 1
Start page: 32
End page: 80
Journal: IEEE Signal Processing Magazine 
Abstract: Two channels have been distinguished in human interaction: one transmits explicit messages, which may be about anything or nothing; the other transmits implicit messages about the speakers themselves. Both linguistics and technology have invested enormous efforts in understanding the first, explicit channel, but the second is not as well understood. Understanding the other party's emotions is one of the key tasks associated with the second, implicit channel. To tackle that task, signal processing and analysis techniques have to be developed, while, at the same time, consolidating psychological and linguistic analyses of emotion. This article examines basic issues in those areas. It is motivated by the PKYSTA project, in which we aim to develop a hybrid system capable of using information from faces and voices to recognize people's emotions.
URI: https://hdl.handle.net/20.500.14279/1950
ISSN: 10535888
DOI: 10.1109/79.911197
Rights: © IEEE
Attribution-NonCommercial-NoDerivs 3.0 United States
Type: Article
Affiliation : National Technical University Of Athens 
Appears in Collections:Άρθρα/Articles

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