Thesis linked to the implementation of the María de Maeztu Strategic Research Program.

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Back Dalmazzo D, Ramirez R. A Virtual Violin System Based on Gesture Capture using EMG and Position Sensors. 1st International Workshop on Motor Learning for Music Performance.

Dalmazzo D, Ramirez R. A Virtual Violin System Based on Gesture Capture using EMG and Position Sensors. 1st International Workshop on Motor Learning for Music Performance.

We apply sensor technology to the automatic detection and analysis of gestures during music performances. Taking the violin as a case study, we measure both right hand (i.e. bow) and left hand (i.e. fingering) gestures in violin performances. Based on these data, we create the first model of an interactive music instrument as a virtual violin that gives musical feedback of gestural performance to novice users, by giving sound output directly mapped from motion data, as well learning from user gestures to adapt the sound manipulation.

http://www.infomus.org/MOTION2017/MOTION2017_david_and_ramirez.pdf