Fast emotion detection from EEG using asymmetric spatial filtering

The injection of emotional intelligence in human-computer interfaces is necessary for computer applications to appear intelligent when interacting with people. With the recent development of brain imaging techniques and brain-computer interfaces, computers can actually take a look inside users´ head to observe their emotional states. This paper presents an EEG-based emotion detection system which detects emotional states based on short EEG segments of 1s. A novel feature extraction algorithm termed asymmetric spatial filtering is proposed to extract features from high dimensional EEG data. The effectiveness of the proposed method is tested for two types of emotion detection problems on data from five subjects.