Multisubject “Learning” for Mental Workload Classification Using Concurrent EEG, fNIRS, and Physiological Measures

An accurate measure of mental workload level has diverse neuroergonomic applications ranging from brain computer interfacing to improving the efficiency of human operators. In this study, we integrated electroencephalogram (EEG), functional near-infrared spectroscopy (fNIRS), and physiological measu...

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Detalles Bibliográficos
Autores principales: Liu, Yichuan, Ayaz, Hasan, Shewokis, Patricia A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5529418/
https://www.ncbi.nlm.nih.gov/pubmed/28798675
http://dx.doi.org/10.3389/fnhum.2017.00389

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5529418/
https://www.ncbi.nlm.nih.gov/pubmed/28798675
http://dx.doi.org/10.3389/fnhum.2017.00389

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