Computing Emotion Awareness Through Facial Electromyography


Broek, Egon L. van den and Schut, Marleen H. and Westerink, Joyce H.D.M. and Herk, Jan van and Tuinenbreijer, Kees (2006) Computing Emotion Awareness Through Facial Electromyography. In: Thomas S. Huang & Nicu Sebe & Michael S. Lew & Vladimir Pavlovi´c & Mathias Kölsch & Aphrodite Galata & Branislav Kisaˇcanin (Eds.), Computer Vision in Human-Computer Interaction: ECCV 2006 Workshop on HCI. Lecture Notes in Computer Science, 3979 . Springer, Berlin / Heidelberg, pp. 52-63. ISBN 9783540342021

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Abstract:To improve human-computer interaction (HCI), computers need to recognize and respond properly to their user’s emotional state. This is a fundamental application of affective computing, which relates to, arises from, or deliberately influences emotion. As a first step to a system that recognizes emotions of individual users, this research focuses on how emotional experiences are expressed in six parameters (i.e., mean, absolute deviation, standard deviation, variance, skewness, and kurtosis) of physiological measurements of three electromyography signals: frontalis (EMG1), corrugator supercilii (EMG2), and zygomaticus major (EMG3). The 24 participants were asked to watch film scenes of 120 seconds, which they rated afterward. These ratings enabled us to distinguish four categories of emotions: negative, positive, mixed, and neutral. The skewness of the EMG2 and four parameters of EMG3, discriminate between the four emotion categories. This, despite the coarse time windows that were used. Moreover, rapid processing of the signals proved to be possible. This enables tailored HCI facilitated by an emotional awareness of systems.
Item Type:Book Section
Copyright:© Springer 2006
Electrical Engineering, Mathematics and Computer Science (EEMCS)
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