Analysis and Evaluation of Ecg Signal for Emotion Recognition using Computational Intelligence

dc.contributor.guide	Tomar, Pradeep and Kaur Gurjit
dc.coverage.spatial
dc.creator.researcher	Goel, Supriya
dc.date.accessioned	2022-03-15T06:29:23Z
dc.date.available	2022-03-15T06:29:23Z
dc.date.awarded
dc.date.completed	2017
dc.date.registered	2013
dc.description.abstract	In this thesis, a novel affective computational system has been designed for recognition of newlineemotional states i.e. calm, stress and anger by analyzing ECG morphological features pattern. For newlinevalidation of this research, an authentic ECG real-time data of 17 drivers is used which was newlineacquired in emotion simulated pathways.
dc.description.note
dc.format.accompanyingmaterial	None
dc.format.dimensions
dc.format.extent	All Pages
dc.identifier.uri	http://hdl.handle.net/10603/368225
dc.language	English
dc.publisher.institution	Department of Electronics and Communication Engineering
dc.publisher.place	Greater Noida
dc.publisher.university	Gautam Buddha University
dc.relation
dc.rights	university
dc.source.university	University
dc.subject.keyword	Engineering
dc.subject.keyword	Engineering and Technology
dc.subject.keyword	Engineering Electrical and Electronic
dc.title	Analysis and Evaluation of Ecg Signal for Emotion Recognition using Computational Intelligence
dc.title.alternative
dc.type.degree	Ph.D.