EEG Emotion Classification Using an Improved SincNet-Based Deep Learning Model

Deep learning (DL) methods have been used increasingly widely, such as in the fields of speech and image recognition. However, how to design an appropriate DL model to accurately and efficiently classify electroencephalogram (EEG) signals is still a challenge, mainly because EEG signals are characte...

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Detalles Bibliográficos
Autores principales: Zeng, Hong, Wu, Zhenhua, Zhang, Jiaming, Yang, Chen, Zhang, Hua, Dai, Guojun, Kong, Wanzeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6895992/
https://www.ncbi.nlm.nih.gov/pubmed/31739605
http://dx.doi.org/10.3390/brainsci9110326

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6895992/
https://www.ncbi.nlm.nih.gov/pubmed/31739605
http://dx.doi.org/10.3390/brainsci9110326

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