Construction of a System for Recognizing Touch of Strings for Guitar

In guitar performance, fingering is an important factor. In particular, the fingering of the left hand comprises various relationships between the finger and the string, such as the finger touching/pressing/releasing the strings. The recognition of the precise fingering is applied to a self-learning support system, which is able to detect strings being muted by a finger, and which transcribes music automatically, including the details of fingering techniques. Therefore, the goal of our study is to construct a system for recognizing the touch of strings for the guitar. We propose a method for recognizing the touch of strings based on the conductive characteristics of strings and frets. We develop a prototype system, and evaluate its effectiveness. Furthermore, we propose an application that utilizes our system.