Feature extraction based on microstate sequences for EEG–based emotion recognition

Feature extraction based on microstate sequences for EEG–based emotion recognition

Recognizing emotion from Electroencephalography (EEG) is a promising and valuable research issue in the field of affective brain-computer interfaces (aBCI). To improve the accuracy of emotion recognition, an emotional feature extraction method is proposed based on the temporal information in the EEG...

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Bibliographic Details
Main Authors: Jing Chen, Zexian Zhao, Qinfen Shu, Guolong Cai
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-12-01
Series:Frontiers in Psychology
Subjects:
feature extraction
EEG
emotion recognition
microstate analysis
k-mer frequency
Online Access:https://www.frontiersin.org/articles/10.3389/fpsyg.2022.1065196/full

Internet

https://www.frontiersin.org/articles/10.3389/fpsyg.2022.1065196/full

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