The detection and classification of the mental state elicited by humor from EEG patterns

S Ramaraju, Mohammed Roula, A Izzidien

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion CynhadleddCyfraniad i gynhadleddadolygiad gan gymheiriaid

Crynodeb

In this paper we investigate the use of EEG to detect the affective state of humor. The EEG of five subjects was recorded while they recalled humorous videos. Extracted frequency features were compared to a control state in which users where asked to remain in a neutral mental state. An ANOVA test performed on the two groups: neutral and humor recall found a statistically significant difference in the frequency range 28-32 Hz for a number of channels including T7 and P7. Both of which presented the greatest statistically significant results with p values of 0.009 and 0.0 respectively Furthermore, we demonstrate that these mental states can be classified using Principal Component Analysis followed by a 3 features Linear Discriminant Analysis resulting in a leave one out classification accuracy of 95%.
Iaith wreiddiolSaesneg
TeitlEngineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE
CyhoeddwrInstitute of Electrical and Electronics Engineers
Tudalennau1472-1475
Nifer y tudalennau4
ISBN (Electronig)978-1-4244-9271-8
ISBN (Argraffiad)978-1-4244-9269-5
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - 5 Tach 2015
Digwyddiad37th Annual Conference of the IEEE Engineering in Medicine and Biology Society (2015): Biomedical Engineering - a Bridge to improve the Quality of Health Care and the Quality of Life - MiCo - Milano Conference Center, Milan, Yr Eidal
Hyd: 25 Aug 201529 Aug 2015
http://embc.embs.org/2015/

Cynhadledd

Cynhadledd37th Annual Conference of the IEEE Engineering in Medicine and Biology Society (2015)
Teitl crynoEMBC 2015
Gwlad/TiriogaethYr Eidal
DinasMilan
Cyfnod25/08/1529/08/15
Cyfeiriad rhyngrwyd

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