Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/156478
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dc.contributor.authorKhendry, Nishkaen_US
dc.date.accessioned2022-04-17T12:07:27Z-
dc.date.available2022-04-17T12:07:27Z-
dc.date.issued2022-
dc.identifier.citationKhendry, N. (2022). An affective BCI system with music in an immersive environment. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/156478en_US
dc.identifier.urihttps://hdl.handle.net/10356/156478-
dc.description.abstractThis study investigates the effectiveness of generated music in a Virtual reality (VR) immersive environment in inducing different emotional arousal states in the context of alleviating mood disorders. It details the collection and labelling of EEG data from 20 participants which is evaluated using two state-of-the-art EEG emotion classification models – TSception and EEGNet. This report outlines the end-to-end implementation of a novel data recording system combining Python-based music generation, VR development with Unity, and EEG data streaming and labelling. It also highlights the overall system design considerations and experiment protocols administered. Given a fixed high valence value, the labelled EEG data recorded was used for offline model training to classify three emotional arousal states – low, high, and neutral. High classification accuracies were reported for Low-High arousal classification - 81.57% for TSception and 83.45% for EEGNet. Therefore, it can be concluded that the EEG data collected contained distinctive emotional states. This system, combining the effect of VR and music, is effective in inducing emotional arousal states and can be explored further in clinical trials as a potential tool for emotion modulation in alleviating mood disorders.en_US
dc.language.isoenen_US
dc.publisherNanyang Technological Universityen_US
dc.relationSCSE21-0028en_US
dc.subjectEngineering::Computer science and engineering::Computing methodologies::Artificial intelligenceen_US
dc.subjectEngineering::Computer science and engineering::Computer applications::Life and medical sciencesen_US
dc.subjectScience::Medicine::Biomedical engineeringen_US
dc.titleAn affective BCI system with music in an immersive environmenten_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorGuan Cuntaien_US
dc.contributor.schoolSchool of Computer Science and Engineeringen_US
dc.description.degreeBachelor of Engineering (Computer Science)en_US
dc.contributor.supervisoremailCTGuan@ntu.edu.sgen_US
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Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)
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