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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Detalles Bibliográficos
Autores principales: Chen, Jing, Zhao, Zexian, Shu, Qinfen, Cai, Guolong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Psychology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9816384/
https://www.ncbi.nlm.nih.gov/pubmed/36619090
http://dx.doi.org/10.3389/fpsyg.2022.1065196

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9816384/
https://www.ncbi.nlm.nih.gov/pubmed/36619090
http://dx.doi.org/10.3389/fpsyg.2022.1065196

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