Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/156439
Title: An augmented reality system for guitar chord learning
Authors: Tan, Hao Jie
Keywords: Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Issue Date: 2022
Publisher: Nanyang Technological University
Source: Tan, H. J. (2022). An augmented reality system for guitar chord learning. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/156439
Abstract: Despite being one of the most popular musical instruments, the high learning curve of the guitar has resulted in most learners giving up on it. Meanwhile, many Augmented Reality applications have been taking off and redefining the way how one can learn more effectively. This project proposes an Augmented Reality based system for guitar learning as a novel approach, hoping to provide a more intuitive and interactive mode of learning for beginners learning the guitar. Results from the user study showed additional benefits over traditional guitar learning tools like chord diagrams.
URI: https://hdl.handle.net/10356/156439
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

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