Classification of emotional valence dimension using artificial neural networks Yapay Sinir Aʇlari Kullanilarak EEG Verilerinden Duygusal Deʇerlik Boyutu Siniflandirilmasi

Özdemir M. E., Yildirim E., Yildirim S.

2015 23rd Signal Processing and Communications Applications Conference, SIU 2015, Malatya, Turkey, 16 - 19 May 2015, pp.2549-2552, (Full Text) identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/siu.2015.7130404
  • City: Malatya
  • Country: Turkey
  • Page Numbers: pp.2549-2552
  • Keywords: Artificial Neural Networks, EEG, Emotion Primitive Classification, Valence
  • Hatay Mustafa Kemal University Affiliated: Yes

Abstract

Emotions 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.