2013 · 19 citations · 2 references
NursingNeurosciencePsychologyAffective NeuroscienceBiological PsychologyPsychophysiologyAffective ComputingElectroencephalogram AnalysisElectroencephalographyEmotion PerceptionEmotion ProcessingEmotion RecognitionAffect ClassificationAffective State RecognitionAutomatic Emotion DetectionAutomatic Emotion RecognitionEmotionsLinear Discriminant AnalysisSignalsValence Recognition
It is difficult to classify anger, fear, and surprise emotions with autonomic nervous system response patterns, because these three emotions show similar levels of valence and arousal dimensions. The purpose of this study was to classify three emotions by using EEG signals. Linear discriminant analysis (LDA) using three types of EEG characteristics showed that the mean recognition accuracy was 66.3%. These findings reveal that three emotions were successfully able to be classified based on EEG signals.
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Basic emotions reflected in EEG-coherences
H. Hinrichs, Wielant Machleidt · International Journal of Psychophysiology · 1992 · 78 citations
Nursing, Neuroscience, Psychology +12