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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Bibliographic Details
Published in:Brain Sci
Main Authors: Zeng, Hong, Wu, Zhenhua, Zhang, Jiaming, Yang, Chen, Zhang, Hua, Dai, Guojun, Kong, Wanzeng
Format: Artigo
Language:Inglês
Published: MDPI 2019
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Article
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC6895992/
https://ncbi.nlm.nih.gov/pubmed/31739605
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/brainsci9110326
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