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Erschienen in:
2011 | OriginalPaper | Buchkapitel
Online Recognition of Facial Actions for Natural EEG-Based BCI Applications
verfasst von : Dominic Heger, Felix Putze, Tanja Schultz
Erschienen in: Affective Computing and Intelligent Interaction
Verlag: Springer Berlin Heidelberg
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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.