Recognition of emotional states induced by music videos based on nonlinear feature extraction and SOM classification

• Published in: 2014 21th Iranian Conference on Biomedical Engineering (ICBME) pp. 333 - 337
• Main Authors: Hatamikia, S., Nasrabadi, A. M.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.11.2014
• Subjects: Accuracy; Biomedical engineering; Dunn index; Electroencephalography; Emotion recognition; Entropy; Feature extraction; Fractals; Nonlinear analysis; Self Organization Map (SOM); Sequential forward feature selection algorithm (SFS)

This research aims at investigating the relationship between Electroencephalogram (EEG) signals and human emotional states. A subject-independent emotion recognition system is proposed using EEG signals collected during emotional audio-visual inductions to classify different classes of continuous va...