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Lecture Notes in Computer Science
Information about the emotional state of users has become more and more important in human-machine interaction and braincomputer interface. This paper introduces an emotion recognition system based on electroencephalogram (EEG) signals. Experiments using movie elicitation are designed for acquiring subject's EEG signals to classify four emotion states, joy, relax, sad, and fear. After pre-processing the EEG signals, we investigate various kinds of EEG features to build an emotion recognitiondoi:10.1007/978-3-642-24955-6_87 fatcat:oy4jnhfj3jdrzdka5fsxkn6yla