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

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...

Full description

Bibliographic Details
Main Authors: Yichuan Liu, Hasan Ayaz, Patricia A. Shewokis
Format: Article
Language:English
Published: Frontiers Media S.A. 2017-07-01
Series:Frontiers in Human Neuroscience
Subjects:
fNIRS
EEG
heart rate variability
respiration rate
n-back
mental workload
Online Access:http://journal.frontiersin.org/article/10.3389/fnhum.2017.00389/full

Internet

http://journal.frontiersin.org/article/10.3389/fnhum.2017.00389/full

Similar Items