Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/157285
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dc.contributor.authorPham, Thien Tanen_US
dc.date.accessioned2022-05-18T06:16:55Z-
dc.date.available2022-05-18T06:16:55Z-
dc.date.issued2022-
dc.identifier.citationPham, T. T. (2022). EEG recognition for music generation. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/157285en_US
dc.identifier.urihttps://hdl.handle.net/10356/157285-
dc.description.abstractWith the rise of the metaverse industry, research has been conducted to develop the user experience when playing games in augmented reality (AR) and virtual reality (VR). Many companies have attached Electroencephalography (EEG) sensors to AR/VR headsets to understand how users feel when playing games. The game content developers can understand the user experience and design a better gaming environment by processing and analyzing the EEG signals. Besides gaming content and lighting effect, the sound effect plays a significant role in inducing feelings for gamers. The user experience can be stimulated or changed to align with the game designer's intention by changing the music melody. This paper proposes a method of generating music that can induce the desired emotion based on the user's feelings. After understanding the user's emotion for a piece of a specific song, the system will generate and add more notes to that piece of music such that the modified music will sound happy and sad or neutral based on the user's feelings.en_US
dc.language.isoenen_US
dc.publisherNanyang Technological Universityen_US
dc.relationA3273-211en_US
dc.subjectEngineering::Electrical and electronic engineeringen_US
dc.titleEEG recognition for music generationen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorAndy Khong W Hen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeBachelor of Engineering (Electrical and Electronic Engineering)en_US
dc.contributor.supervisoremailAndyKhong@ntu.edu.sgen_US
item.grantfulltextrestricted-
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Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)
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File Description SizeFormat 
PHAM THIEN TAN - FYP report.pdf
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FYP2.04 MBAdobe PDFView/Open
exciting_version.mp3
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exciting music version684.11 kBUnknownView/Open
sad_version.mp3
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sad music version668.6 kBUnknownView/Open
original_version.mp3
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original music680.85 kBUnknownView/Open

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