g.qin

re-visioning guqin modulation techniques. 2016.

g.qin (2016)

g.qin is developed to extract and examine the physical gesture data of the left-hand finger techniques that guqin (ancient chinese zither) instrumentalists use to articulate the nuances in pitch, dynamics, and timbre of its tone(s) produced. The development of g.qin is a key first step towards the investigation of the guqin music tradition through the measurement of physical gesture data, and its details are described in Re-Visioning Guqin Performance through Interface Design, Digital Measurement, and Signal Processing.

JonHe_catalogue.jpg

The ability to sufficiently transduce physical motions to gestural data (capturing salient features of hand movements), has enabled g.qin to also function as a gestural controller in electro-instrumental music performance. This enables the exploration of new musical interaction strategies between human performer(s), computer-based sound-producing systems, and mechatronic musical instruments.

In elevation.azimuth, with 3 mechatronic musical instruments: serrae, speaker.motion (Bridget Johnson), and Swivel (Jim Murphy).