A EEG signal-based emotion recognition system was designed. The system was developed to operate as a user-independent system, based on MAPL (minority affective picture library), EEG-signal database obtained from multiple ethnic objections. The system consisted of preprocessing, feature extraction and pattern classification stages. Preprocessing and feature extraction methods were devised so that emotion-specific characteristics could be extracted. a simple experiment was carried out, and the classification result is about 56.4%, which indicated that minorities emotion problems can be studied based MPAL emotion recognition system.