Abstract
In recent times, emotion recognition is in attention in brain computer interface (BCI) and human computer interaction (HCI) research area to provide a very good communication between brain and computer. The aim is to achieve a good recognition rate, although there are numerous researches have been conducted also there has been created several confusions with the definition of human emotions and the difference between emotions and moods. To detect brain signal, Electroencephalogram (EEG) signal has become biological marker. For its low cost, good time and spatial resolution EEG has been used widely in BCI researches. Extraction of features from EEG signals is one of the vital steps of EEG based emotion recognition. The appropriate feature selection for EEG based automatic emotion recognition is still now a big research topic. In this paper, a comprehensive survey is made on feature extraction methods and their comparative merits and limitations.
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