Emotion Recognition from Spatio-Temporal Representation of EEG Signals via 3D-CNN with Ensemble Learning Techniques

The recognition of emotions is one of the most challenging issues in human–computer interaction (HCI). EEG signals are widely adopted as a method for recognizing emotions because of their ease of acquisition, mobility, and convenience. Deep neural networks (DNN) have provided excellent results in em...

Descripción completa

Detalles Bibliográficos
Autores principales: Yuvaraj, Rajamanickam, Baranwal, Arapan, Prince, A. Amalin, Murugappan, M., Mohammed, Javeed Shaikh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10136603/
https://www.ncbi.nlm.nih.gov/pubmed/37190650
http://dx.doi.org/10.3390/brainsci13040685

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10136603/
https://www.ncbi.nlm.nih.gov/pubmed/37190650
http://dx.doi.org/10.3390/brainsci13040685

Ejemplares similares