Decoding the neural signatures of valence and arousal from portable EEG headset

Emotion classification using electroencephalography (EEG) data and machine learning techniques have been on the rise in the recent past. However, past studies use data from medical-grade EEG setups with long set-up times and environment constraints. This paper focuses on classifying emotions on the...

Descripción completa

Detalles Bibliográficos
Autores principales: Garg, Nikhil, Garg, Rohit, Anand, Apoorv, Baths, Veeky
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Human Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9764010/
https://www.ncbi.nlm.nih.gov/pubmed/36561835
http://dx.doi.org/10.3389/fnhum.2022.1051463

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9764010/
https://www.ncbi.nlm.nih.gov/pubmed/36561835
http://dx.doi.org/10.3389/fnhum.2022.1051463

Ejemplares similares