Online recognition of facial actions for natural EEG-based BCI applications

Authors:
Dominic Heger;Felix Putze;Tanja Schultz
Affiliations:
Cognitive Systems Lab, Karlsruhe Institute of Technology, Germany;Cognitive Systems Lab, Karlsruhe Institute of Technology, Germany;Cognitive Systems Lab, Karlsruhe Institute of Technology, Germany
Venue:
ACII'11 Proceedings of the 4th international conference on Affective computing and intelligent interaction - Volume Part II
Year:
2011

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Abstract

We present a system for classification of nine voluntary facial actions, i.e. Neutral, Smile, Sad, Surprise, Angry, Speak, Blink, Left, and Right. The data is assessed by an Emotiv EPOC wireless EEG head-set. We derive spectral features and step function features that represent the main signal characteristics of the recorded data in a straightforward manner. With a two stage classification setup using support vector machines we achieve an overall recognition accuracy of 81.8%. Furthermore, we show a qualitative evaluation of an online system for facial action recognition using the EPOC device.