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ECCV
2006
Springer

Computing Emotion Awareness Through Facial Electromyography

13 years 6 months ago
Computing Emotion Awareness Through Facial Electromyography
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...
Egon L. van den Broek, Marleen H. Schut, Joyce H.
Added 22 Aug 2010
Updated 22 Aug 2010
Type Conference
Year 2006
Where ECCV
Authors Egon L. van den Broek, Marleen H. Schut, Joyce H. D. M. Westerink, Jan van Herk, Kees Tuinenbreijer
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