Cargando…
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...
Autores principales: | Garg, Nikhil, Garg, Rohit, Anand, Apoorv, Baths, Veeky |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
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 |
Ejemplares similares
-
Acoustic and Language Based Deep Learning Approaches for Alzheimer's Dementia Detection From Spontaneous Speech
por: Mahajan, Pranav, et al.
Publicado: (2021) -
Neural Activity and Decoding of Action Observation Using Combined EEG and fNIRS Measurement
por: Ge, Sheng, et al.
Publicado: (2019) -
Cross-Dataset Variability Problem in EEG Decoding With Deep Learning
por: Xu, Lichao, et al.
Publicado: (2020) -
Decoding Intracranial EEG With Machine Learning: A Systematic Review
por: Mirchi, Nykan, et al.
Publicado: (2022) -
A State-of-the-Art Review of EEG-Based Imagined Speech Decoding
por: Lopez-Bernal, Diego, et al.
Publicado: (2022)