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Prediction of Human Cognitive Abilities based on EEG measurements

: Liu, Yisi; Lim, Wei Lun; Hou, Xiyuan; Sourina, Olga; Wang, Lipo


Sourin, Alexei ; Institute of Electrical and Electronics Engineers -IEEE-; Association for Computing Machinery -ACM-, Special Interest Group on Computer Graphics and Interactive Techniques -SIGGRAPH-; International Federation for Information Processing -IFIP-:
International Conference on Cyberworlds, CW 2015. Proceedings : 7 - 9 October 2015, Visby, Sweden
Los Alamitos, Calif.: IEEE Computer Society Conference Publishing Services (CPS), 2015
ISBN: 978-1-4673-9402-4 (Print)
ISBN: 978-1-4673-9403-1
International Conference on Cyberworlds (CW) <14, 2015, Visby>
Fraunhofer IDM@NTU ()
Electroencephalography (EEG); Multitasking; cognitive load; Business Field: Visual decision support; Research Area: Human computer interaction (HCI)

The difference in cognitive abilities of humans could be assessed by indexes extracted from EEG. In this paper, we propose and implement an experiment with 60 subjects to study how cognitive abilities can be identified through EEG. We analyzed parameters of the individual frequency band that can be used for prediction of cognitive abilities of subjects. In the experiment, the subjects performed cognitive tests with EEG recording done prior to the tests. Different patterns of alpha band activity are proven to be indicators of cognitive abilities and performances. Our hypothesis is that cognitive abilities can be predicted based on EEG measurements. The results of analysis of the experiment show significant correlation between subjects' cognitive abilities assessed by the tests and the EEG measurements.