Original Research ARTICLE
Finger-String interaction analysis in Guitar Playing with Optical Motion Capture
- 1Pompeu Fabra University, Spain
We present a method for the analysis of the finger-string interaction in guitar performances and the computation of fine actions during the plucking gesture.
The method is based on Motion Capture using high-speed cameras that can track the position of reflective markers placed on the guitar and fingers, in combination with audio analysis.
A major problem inherent in optical motion capture is that of marker occlusion and, in guitar playing, it is the right hand of the guitarist that is extremely difficult to capture, especially during the plucking process, where the track of the markers at the fingertips is lost very frequently. This work presents two models that allow the reconstruction of the position of occluded markers: a rigid-body model to track the motion of the guitar strings and a flexible-body model to track the motion of the hands. In combination with audio analysis (onset and pitch detection), the method can estimate a comprehensive set of sound control features that include the plucked string, the plucking finger and the characteristics of the plucking gesture in the phases of contact, pressure and release (e.g. position, timing, velocity, direction or string displacement).
Keywords: guitar performance, Hand model, audio analysis, neural networks, Motion capture (Mocap)
Received: 07 Jun 2018;
Accepted: 24 Oct 2019.
Copyright: © 2019 Perez-Carrillo. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Dr. Alfonso Perez-Carrillo, Pompeu Fabra University, Barcelona, Spain, firstname.lastname@example.org