Classification of emotion primitives from EEG signals using visual and audio stimuli Görüntü ve Ses Uyaranlari Kullanarak EEG Sinyallerinden Duygu Boyutlarinin Siniflandirilmasi

Dasdemir Y., Yildirim S., Yildirim E.

2015 23rd Signal Processing and Communications Applications Conference, SIU 2015, Malatya, Turkey, 16 - 19 May 2015, pp.2250-2253, (Full Text) identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/siu.2015.7130325
  • City: Malatya
  • Country: Turkey
  • Page Numbers: pp.2250-2253
  • Keywords: Arousal, EEG, Emotion primitive classification, Valence
  • Hatay Mustafa Kemal University Affiliated: Yes

Abstract

Emotion recognition from EEG signals has an important role in designing Brain-Computer Interface. This paper compares effects of audio and visual stimuli, used for collecting emotional EEG signals, on emotion classification performance. For this purpose EEG data from 25 subjects are collected and binary classification (low/high) for valence and activation emotion dimensions are performed. Wavelet transform is used for feature extraction and 3 classifiers are used for classification. True positive rates of 71.7% and 78.5% are obtained using audio and video stimuli for valence dimension 71% and 82% are obtained using audio and video stimuli for arousal dimension, respectively.