EEG‐Based Emotion Recognition and Classification

Summary

Emotion is central to human daily experience, influencing cognition, perception, and everyday tasks such as learning, communication, and even rational decision‐making. However, the large number of emotion states and the overlaps between the corresponding brain regions make analysis of emotion very challenging for technologists and neuroscience researchers. A hybrid of the somatic and cognitive theories of emotion is the perceptual theory. Skin impedance can be checked using a galvanic skin response sensor. Electromyography is used to measure the muscle activities of the face, neck, and shoulder which are very likely to change due to certain emotions. Study of emotion using electroencephalography has become more attractive due to many algorithms developed by the signal processing community. Direct detection and classification of emotion signal sources are generally complex and advanced methods in signal processing are needed.