Fusion of Multi-domain EEG Signatures Improves Emotion Recognition

Fusion of Multi-domain EEG Signatures Improves Emotion Recognition

Background: Affective computing has gained increasing attention in the area of the human-computer interface where electroencephalography (EEG)-based emotion recognition occupies an important position. Nevertheless, the diversity of emotions and the complexity of EEG signals result in unexplored rela...

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Bibliographic Details
Main Authors: Xiaomin Wang, Yu Pei, Zhiguo Luo, Shaokai Zhao, Liang Xie, Ye Yan, Erwei Yin, Shuang Liu, Dong Ming
Format: Article
Language:English
Published: IMR Press 2024-01-01
Series:Journal of Integrative Neuroscience
Subjects:
electroencephalography (eeg)
emotion
classification
power spectral density (psd)
microstate
phase-locking value (plv)
Online Access:https://www.imrpress.com/journal/JIN/23/1/10.31083/j.jin2301018

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https://www.imrpress.com/journal/JIN/23/1/10.31083/j.jin2301018

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