Design of a Support System for Guitar Performance Training Using XR Technology

Shuhei Yoshida,Toru Abe,Takuo Suganuma

2023 IEEE 12th Global Conference on Consumer Electronics (GCCE)(2023)

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Abstract
It has been difficult to effectively develop performance skills in guitar playing until now, and attempts have been made to utilize information technology to support skill development. In recent years, systems have been developed that apply Extended Reality(XR) technology to superimpose learning support information on the real instrument periphery to achieve more advanced support. However, existing systems for guitar performance training focus only on whether the strings are pressed at the correct position on the fingerboard, and it is difficult to provide comprehensive support for a variety of playing skills. In this study, we propose a performance skill training support system based on XR technology to support more advanced guitar playing techniques. In addition to the presentation of string pressing positions in the conventional system, the proposed system aims to support the acquisition of more practical playing skills by implementing a function to evaluate playing skills in real-time using acoustic analysis. This paper presents an overview of the study, the initial implementation of the proposed system, and the results of user evaluations.
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Key words
XR,guitar,training support,optical see-through HMD
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