NDLI: Emotion recognition in the manual interaction with graphical user interfaces

Content Provider	IEEE Xplore Digital Library
Author	Schuller, B. Rigoll, G. Lang, M.
Copyright Year	2004
Description	Author affiliation: Inst. for Human-Machine Commun., Technische Univ. Munchen (Schuller, B.; Rigoll, G.; Lang, M.)
Abstract	In this paper we introduce a novel approach to human emotion recognition, based on manual computer interaction. The presented methods rely on conventional graphical input devices. Firstly, a standard mouse as used on desktop PCs, and, secondly, the interaction with touch-screens or -pads as in public information terminals, palm-top devices or tablet PCs is considered. Additionally, the gain of the integration of touch pressure information is evaluated. Four discrete emotional states are classified: irritation, annoyance, reflectiveness, and neutral affect, for use in initiative tutoring, error clarification, Internet customer personalization, and others. The optimal feature-set is discussed and ranked according to a linear discriminant analysis. A working system, using support vector machines for the classification, is tested in real-life scenarios. A performance of up to 83.2% correct assignment clearly indicates that user emotion recognition is possible without special hardware in any standard graphical user environment, independent of the underlying application
Starting Page	1215
Ending Page	1218
File Size	278464
Page Count	4
File Format	PDF
ISBN	0780386035
DOI	10.1109/ICME.2004.1394440
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-06-27
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Emotion recognition Graphical user interfaces Personal communication networks Humans Mice Network neutrality Linear discriminant analysis Support vector machines Support vector machine classification System testing
Content Type	Text
Resource Type	Article

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