Cargando…
Attention Detection in Virtual Environments Using EEG Signals: A Scoping Review
The competitive demand for attention is present in our daily lives, and the identification of neural processes in the EEG signals associated with the demand for specific attention can be useful to the individual’s interactions in virtual environments. Since EEG-based devices can be portable, non-inv...
Autores principales: | Souza, Rhaíra Helena Caetano e, Naves, Eduardo Lázaro Martins |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8650681/ https://www.ncbi.nlm.nih.gov/pubmed/34887770 http://dx.doi.org/10.3389/fphys.2021.727840 |
Ejemplares similares
-
Automatic Change Detection for Real-Time Monitoring of EEG Signals
por: Gao, Zhen, et al.
Publicado: (2018) -
Signal Quality Evaluation of Emerging EEG Devices
por: Radüntz, Thea
Publicado: (2018) -
Circadian Rhythms in Fractal Features of EEG Signals
por: Croce, Pierpaolo, et al.
Publicado: (2018) -
Influence of Binaural Beats Stimulation of Gamma Frequency over Memory Performance and EEG Spectral Density
por: Borges, Ludymila Ribeiro, et al.
Publicado: (2023) -
Extracting the Auditory Attention in a Dual-Speaker Scenario From EEG Using a Joint CNN-LSTM Model
por: Kuruvila, Ivine, et al.
Publicado: (2021)