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Öğe Classification of Emotional Valence Dimension Using Artificial Neural Networks(Ieee, 2015) Ozdemir, Merve Erkmay; Yildirim, Esen; Yildirim, SerdarEmotions play an important role in human interaction. Emotion recognition should be considered to design an effective Brain-Computer Interface. In this work binary classification (low/high) for valence which is one of the primitives used in expressing emotions is performed. Hilbert-Huang Transform is used for feature extraction, multi layer feed forward Artificial Neural Networks is used for subject independent classification and 69% of true positive rate is obtained.
