Automated Feature Extraction on AsMap for Emotion Classification Using EEG

Emotion recognition using EEG has been widely studied to address the challenges associated with affective computing. Using manual feature extraction methods on EEG signals results in sub-optimal performance by the learning models. With the advancements in deep learning as a tool for automated featur...

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Detalles Bibliográficos
Autores principales: Ahmed, Md. Zaved Iqubal, Sinha, Nidul, Phadikar, Souvik, Ghaderpour, Ebrahim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8955420/
https://www.ncbi.nlm.nih.gov/pubmed/35336517
http://dx.doi.org/10.3390/s22062346

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8955420/
https://www.ncbi.nlm.nih.gov/pubmed/35336517
http://dx.doi.org/10.3390/s22062346

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