Emotion recognition based on physiological signals using brain asymmetry index and echo state network

• Published in: Neural computing & applications Vol. 31; no. 9; pp. 4491 - 4501
• Main Authors: Ren, Fuji, Dong, Yindong, Wang, Wei
• Format: Journal Article
• Language: English
• Published: London Springer London 01.09.2019; Springer Nature B.V
• Subjects: Algorithms; Artificial Intelligence; Asymmetry; Clusters; Computational Biology/Bioinformatics; Computational Science and Engineering; Computer Science; Data Mining and Knowledge Discovery; Electroencephalography; Emotion recognition; Hemispheres; Human performance; Image Processing and Computer Vision; Performance enhancement; Physiological effects; Physiology; Probability and Statistics in Computer Science; Probability distribution; S.I. : Emergence in Human-like Intelligence towards Cyber-Physical Systems; Signal processing; Support vector machines; System effectiveness; Wavelet transforms; Emotion recognition; Brain asymmetry index; Physiological signals; Echo state network

This paper proposes a method to evaluate the degree of emotion being motivated in continuous music videos based on asymmetry index (AsI). By collecting two groups of electroencephalogram (EEG) signals from 6 channels (Fp1, Fp2, Fz and AF3, AF4, Fz) in the left and right hemispheres, multidimensional...