A novel feature fusion network for multimodal emotion recognition from EEG and eye movement signals

Emotion recognition is a challenging task, and the use of multimodal fusion methods for emotion recognition has become a trend. Fusion vectors can provide a more comprehensive representation of changes in the subject's emotional state, leading to more accurate emotion recognition results. Diffe...

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Detalles Bibliográficos
Autores principales: Fu, Baole, Gu, Chunrui, Fu, Ming, Xia, Yuxiao, Liu, Yinhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10436100/
https://www.ncbi.nlm.nih.gov/pubmed/37600016
http://dx.doi.org/10.3389/fnins.2023.1234162

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10436100/
https://www.ncbi.nlm.nih.gov/pubmed/37600016
http://dx.doi.org/10.3389/fnins.2023.1234162

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