Name
Title | ||
|---|---|---|
Quantifying Cognitive Workload in Simulated Flight Using Passive, Dry EEG Measurements. |
Abstract | ||
|---|---|---|
A reliable method for quantifying cognitive workload in pilots could find uses in flight training and scheduling, cockpit design, and improving flight safety. Many proposed methods for monitoring cognitive workload in this population rely on measuring physiological responses to externally delivered probe stimuli and/or use traditional gel-based electroencephalography (EEG) sensors. Here we develop... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TCDS.2016.2628702 | IEEE Transactions on Cognitive and Developmental Systems |
Keywords | Field | DocType |
Electroencephalography,Complexity theory,Monitoring,Biomedical monitoring,Classification algorithms,Electrodes,Sensors | Population,Computer science,Scheduling (computing),Flight training,Communication channel,Artificial intelligence,Cockpit,Linear discriminant analysis,Statistical classification,Machine learning,Electroencephalography | Journal |
Volume | Issue | ISSN |
10 | 2 | 2379-8920 |
Citations | PageRank | References |
6 | 0.47 | 0 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Justin Blanco | 1 | 19 | 4.05 |
| Michael K. Johnson | 2 | 6 | 0.47 |
| Kyle J Jaquess | 3 | 8 | 1.60 |
| Hyuk Oh | 4 | 21 | 5.07 |
| Li-Chuan Lo | 5 | 6 | 1.15 |
| Rodolphe J. Gentili | 6 | 24 | 7.92 |
| Bradley D. Hatfield | 7 | 15 | 4.66 |