Year: 2022
Type: article
Abstract: Emotion is an indispensable part of human emotion, which affects human normal physiological activities and daily life decisions. Human emotion recognition is a critical technology in artificial intelligence, human-computer interaction, and other fields. The brain is the information processing and control center of the human body. Electroencephalogram (EEG) physiological signals are generated directly by the central nervous system, closely related to human emotions. Therefore, EEG signals can objectively and now reflect the human emotional state in real-time. In recent years, with the development of the brain-computer interface, the acquisition and analysis technology of human EEG signals has become increasingly mature, so more and more researchers use the research method based on EEG signals to study emotion recognition. EEG processing plays a vital role in emotion recognition. This paper presents a recent research report on emotion recognition. This paper introduces the related analysis methods and research contents from the aspects of emotion induction, EEG preprocessing, feature extraction, and emotion classification and compares the advantages and disadvantages of these methods. This paper summarizes the problems existing in current research methods. This paper discusses the research direction of emotion classification based on EEG information.
Source: Cognitive Robotics
Authors: Chaofei Yu, Mei Wang
Institution: Xi'an University of Science and Technology
Language: English
Topic: Emotion and Mood Recognition
Subfield: Experimental and Cognitive Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $700
OpenAlex ID: W4285282157