Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/157285
Title: EEG recognition for music generation
Authors: Pham, Thien Tan
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2022
Publisher: Nanyang Technological University
Source: Pham, T. T. (2022). EEG recognition for music generation. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/157285
Project: A3273-211
Abstract: With 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.
URI: https://hdl.handle.net/10356/157285
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

Files in This Item:
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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