Neural patterns between Chinese and Germans for EEG-based emotion recognition

This paper aims to explore the neural patterns between Chinese and Germans for electroencephalogram (EEG)-based emotion recognition. Both Chinese and German subjects, wearing electrode caps, watched video stimuli that triggered positive, neutral, and negative emotions. Two emotion classifiers are trained on Chinese EEG data and German EEG data, respectively. The experiment results indicate that: a) German neural patterns are basically in accordance with Chinese ones; b) the main difference lies in the upper temporal region in Delta band which activates more when a German is in positive mood; and c) the Chinese positive emotion achieves the best accuracy while German emotions share the approximate accuracy. Moreover, Gamma band serves as the critical band for both German and Chinese emotion recognition.