Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/2147
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dc.contributor.authorKaur R-
dc.contributor.authorGill R-
dc.contributor.authorSingh J.-
dc.date.accessioned2021-05-14T11:31:15Z-
dc.date.available2021-05-14T11:31:15Z-
dc.date.issued2019-
dc.identifier.uri10.1007/978-981-13-9939-8_1-
dc.identifier.urihttp://hdl.handle.net/123456789/2147-
dc.description.abstractCognitive Neurodynamics is the scientific field that is concerned with the study of biological processes of brain and aspects that underlie cognition. The specific focus of cognition is on neural connections that are involved in the mental process. So the resultant of cognitive states which consists of thoughts, perception, memory, experiences predicted the state of emotional behaviour in human. There are two parts of brain which are responsible for cognition and emotional states in human i.e. Amygdala and frontal cortex of brain. In this paper, a correlation analysis is being done on the basis of common feature set choosen between self- prepared dataset and public access dataset. The public domain dataset named AMIGOS is choosen for research analysis, as it is prepared on (14?+?2) electrodes. In both datasets same number of electrodes are used. Experimental results confirm that accuracy of both datasets are compatible with each other. AMIGOS dataset shows 80.12% accuracy and prepared dataset shows 74.62% accuracy using SVM classifier.en_US
dc.language.isoenen_US
dc.publisherSpringer Verlagen_US
dc.subjectCognitionen_US
dc.subjectEmotionen_US
dc.subjectNeurodynamicsen_US
dc.subjectElectroencephalography (EEG)en_US
dc.subjectAMIGOSen_US
dc.subjectArousalen_US
dc.subjectValenceen_US
dc.subjectNeuromarketingen_US
dc.subjectNeuroscienceen_US
dc.subjectSTBD (Spatio-Temporal Brain Data)en_US
dc.subjectSVM (Supervised Vector Machine).en_US
dc.titleComparative analysis of cognitive neurodynamics on AMIGOS dataset versus prepared dataseten_US
dc.typeArticleen_US
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