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Emotion recognition in the manual interaction with graphical user interfaces

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3 Author(s)
B. Schuller ; Inst. for Human-Machine Commun., Technische Univ. Munchen, Germany ; G. Rigoll ; M. Lang

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

Published in:

Multimedia and Expo, 2004. ICME '04. 2004 IEEE International Conference on  (Volume:2 )

Date of Conference:

30-30 June 2004