Emotion recognition from EEG signals through one electrode device

In recent years, researchers have concentrated on the development of ElectroEncephaloGraphy (EEG) based Brain-Computer Interfaces (BCI) to increase the quality of life using medical applications. BCIs can also be used for marketing, gaming, and entertainment to provide users with a more personalized experience. Both medical and non-medical applications require the ability to interpret the user's multimedia-induced perception and emotional experience. This paper presents a novel method to detect human emotion with a single-channel commercial BCI device. The proposed EEG-based emotion recognition system was tested on human test subjects using a deep learning neural network and an accuracy above 87% was achieved.