EEG Emotion Recognition by Fusion of Multi-Scale Features

Electroencephalogram (EEG) signals exhibit low amplitude, complex background noise, randomness, and significant inter-individual differences, which pose challenges in extracting sufficient features and can lead to information loss during the mapping process from low-dimensional feature matrices to h...

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Detalles Bibliográficos
Autores principales: Du, Xiuli, Meng, Yifei, Qiu, Shaoming, Lv, Yana, Liu, Qingli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10526490/
https://www.ncbi.nlm.nih.gov/pubmed/37759894
http://dx.doi.org/10.3390/brainsci13091293

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10526490/
https://www.ncbi.nlm.nih.gov/pubmed/37759894
http://dx.doi.org/10.3390/brainsci13091293

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