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 | Schools: | School of Computer Science and Engineering | Fulltext Permission: | restricted | Fulltext Availability: | With Fulltext |
Appears in Collections: | SCSE Student Reports (FYP/IA/PA/PI) |
Files in This Item:
File | Description | Size | Format | |
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Amended_TanHaoJie_FYP_Report.pdf Restricted Access | 2.48 MB | Adobe PDF | View/Open |
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