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 :
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