Summary
Pressure, motion, and gesture are important parameters in musical
instrument playing. Pressure sensing allows to interpret complex
hidden forces, which appear during playing a musical instrument.
The combination of our new sensor setup with pattern recognition
techniques like the lately developed ordered means models allows
fast and precise recognition of highly skilled playing techniques.
This includes left and right hand analysis as well as a combination
of both. In this paper we show bow position recognition for string
Instruments by means of support vector regression machines on the
right hand finger pressure, as well as bowing recognition and inaccurate
playing detection with ordered means models. We also introduce a
new left hand and chin pressure sensing method for coordination and
position change analysis. Our methods in combination with our audio,
video, and gesture recording software can be used for teaching and
exercising. Especially studies of complex movements and finger force
distribution changes can benefit from such an approach. Practical
applications include the recognition of inaccuracy, cramping, or
malposition, and, last but not least, the development of augmented
instruments and new playing techniques.
