EEG Feature Selection for Emotion Recognition Based on Cross-subject Recursive Feature Elimination

• Published in: Chinese Control Conference pp. 6256 - 6261
• Main Authors: Zhang, Wei, Yin, Zhong
• Format: Conference Proceeding
• Language: English
• Published: Technical Committee on Control Theory, Chinese Association of Automation 01.07.2020
• Subjects: Buildings; Computational modeling; EEG; Emotion recognition; Feature extraction; Machine learning; physiological signal; recursive feature elimination; Support vector machines

The application of machine learning approaches to deal with the emotion recognition of physiological signals has received much attention on account of the objectivity of the electroencephalography (EEG) signals. However, the traditional feature selection methods are insufficient when building affect...