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Guitar Fingering Recognition

category

author

John Sullivan



Description:

This project is about the development of an automated method to visually detect and recognize fingering gestures of the left hand of a guitarist. The choice of computer vision to perform that task is motivated by the absence of a satisfying method for realtime guitarist fingering detection. The development of this computer vision method follows preliminary manual and automated analyses of video recordings of a guitarist. These first analyses led to some important findings about the design methodology of such a system, namely the focus on the effective gesture, the consideration of the action of each individual finger, and a recognition system not relying on comparison against a knowledge-base of previously learned fingering positions. Motivated by these results, studies on three important aspects of a complete fingering system were conducted. One study was on realtime finger tracking, another on string and fret detection, and the last on movement segmentation. Finally, these concepts were integrated into a prototype and a system for left-hand fingering detection was developed. Such a data acquisition system for fingering retrieval has uses in music theory, music education, automatic music and accompaniment generation and physical modeling.

Finger-tracking Algorithm


IDMIL Participants:


External Participants:

Barbara Mazzarino (InfoMus Laboratory, Genoa, Italy)
Gualtiero Volpe (InfoMus Laboratory, Genoa, Italy)
Antonio Camurri (InfoMus Laboratory, Genoa, Italy)


Research Areas:


Funding:

  • NSERC

Publications: