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Please use this identifier to cite or link to this item: http://dspace.cityu.edu.hk/handle/2031/7417
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dc.contributor.authorKoh, King Hinen_US
dc.date.accessioned2014-09-30T06:37:56Z
dc.date.accessioned2017-09-19T09:13:31Z
dc.date.accessioned2019-02-12T07:31:27Z-
dc.date.available2014-09-30T06:37:56Z
dc.date.available2017-09-19T09:13:31Z
dc.date.available2019-02-12T07:31:27Z-
dc.date.issued2014en_US
dc.identifier.other2014eekkh385en_US
dc.identifier.urihttp://144.214.8.231/handle/2031/7417-
dc.description.abstractThis project utilized emotiv Neuroheadset to investigate the relationship between music and emotion of human beings through EEG analysis.The project mainly includes studies of EEG, experiment on young adult subjects and concluding comments after the experiment. The experiment were conducted after the studies in semester A and totally 25 subjects were invited to perform in the experiment.Each subject are required to listen six out of eight randomly selected music excerpts and complete a questionnaire, while brain signal are captured during the listening tasks.The questionnaire adopts valence-arousal emotion model for data entry. After the gathering of information from subjects, pre-processing of EEG signals was performed before spectrum analysis.Bandpass filtering,linear rejection and Independent Component Analysis were adopted to remove artifacts and undesired signals. Last but not least, spectrum analysis are carried out on the eight different music excerpts. EEG techniques like Asymmetry index were used to compare the excerpts. The projects ends on giving concluding comments on music excerpts associating with human emotions, after correlating the analysis result and information on questionnaire.en_US
dc.rightsThis work is protected by copyright. Reproduction or distribution of the work in any format is prohibited without written permission of the copyright owner.en_US
dc.rightsAccess is restricted to CityU users.en_US
dc.titleAssociation between music and EEG of young adultsen_US
dc.contributor.departmentDepartment of Electronic Engineeringen_US
dc.description.supervisorSupervisor: Dr. CHAN, Rosa H M; Assessor: Dr. YUEN, Kelvin S Yen_US
Appears in Collections:Electrical Engineering - Undergraduate Final Year Projects 

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