Proceedings of the Annual Conference of the Institute of Image Electronics Engineers of Japan
Online ISSN : 2436-4398
Print ISSN : 2436-4371
Proceedings of the 42nd Annual Conference of the Institute of Image Electronics Engineers of Japan 2014
Session ID : S4-2
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Study of Detecting the Frets and Strings on the Neck of the Guitar from RGBD Images towards the Actualization of an Autonomous Guitar Teaching System
*Zhao WANGYe LIJing YANJun OHYA
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Abstract

Fingering is one of the most important aspects in guitar learning. As guitar is a string instrument and the same pitch notes could be at different places on fretboard, it is incomprehensive to check the fingering information of player only through audio signal, visual information is also needed to the analysis.This paper mainly proposed an algorithm of detecting and tracking guitar neck within the research of guitar teaching system based on Kineck [1]: With the information extracted from this method, we can further our research which could finally recognize whether player of guitar pressed the right chord or not automatically.

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© 2014 The Institute of Image Electronics Engineers of Japan
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