Cross-Participant EEG-Based Assessment of Cognitive Workload Using Multi-Path Convolutional Recurrent Neural Networks

Applying deep learning methods to electroencephalograph (EEG) data for cognitive state assessment has yielded improvements over previous modeling methods. However, research focused on cross-participant cognitive workload modeling using these techniques is underrepresented. We study the problem of cr...

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Detalles Bibliográficos
Autores principales: Hefron, Ryan, Borghetti, Brett, Schubert Kabban, Christine, Christensen, James, Estepp, Justin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5982227/
https://www.ncbi.nlm.nih.gov/pubmed/29701668
http://dx.doi.org/10.3390/s18051339

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5982227/
https://www.ncbi.nlm.nih.gov/pubmed/29701668
http://dx.doi.org/10.3390/s18051339

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