DocumentCode
3609337
Title
Combining EEG with Pupillometry to Improve Cognitive Workload Detection
Author
Rozado, David ; Dunser, Andreas
Volume
48
Issue
10
fYear
2015
Firstpage
18
Lastpage
25
Abstract
Combining signals from traditional electroencephalography with those of novel physiological measures such as pupil dilation could enable more accurate and robust real-time monitoring of cognitive workload.
Keywords
cognition; electroencephalography; medical signal processing; physiology; EEG; cognitive workload detection; electroencephalography; pupillometry; robust real-time monitoring; Bioinformatics; Biomedical monitoring; Brain-computer interfaces; Electroencephalography; Error analysis; Feature extraction; Physiological computing; BCI; bioinformatics; brain-computer interfaces; cognitive workload estimation; cognitive workload monitoring; multimodal BCI; multimodal interaction; physiological computing; pupillometry;
fLanguage
English
Journal_Title
Computer
Publisher
ieee
ISSN
0018-9162
Type
jour
DOI
10.1109/MC.2015.314
Filename
7310952
Link To Document