DocumentCode :
1456332
Title :
Emotion recognition in human-computer interaction
Author :
Cowie, Roddy ; Douglas-Cowie, Ellen ; Tsapatsoulis, Nicolas ; Votsis, George ; Kollias, Stefanos ; Fellenz, Winfried ; Taylor, John G.
Volume :
18
Issue :
1
fYear :
2001
fDate :
1/1/2001 12:00:00 AM
Firstpage :
32
Lastpage :
80
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
Keywords :
gesture recognition; linguistics; psychology; speech recognition; speech-based user interfaces; PKYSTA project; emotion recognition; faces; human-computer interaction; hybrid system; implicit messages; linguistic analyses; psychological analyses; signal analysis; signal processing; voices; Biomedical signal processing; Context; Emotion recognition; Face recognition; Humans; Proposals; Psychology; Signal analysis; Speech recognition; Testing;
fLanguage :
English
Journal_Title :
Signal Processing Magazine, IEEE
Publisher :
ieee
ISSN :
1053-5888
Type :
jour
DOI :
10.1109/79.911197
Filename :
911197
Link To Document :
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