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My master’s research looked at ways to integrate the role of the performer in the context of live electronic music in active and engaging ways. The result of my artistic research led to the creation of an interactive music system capable of capturing meaningful musical information from the performer’s bodily gestures and physiological data to control digital sound processes running on the computer. By coupling a custom-made wearable interface with a set of supervised machine learning algorithms, the system allows the performer to record example interactions, associating states, postures and gestures with sounds to build an exploratory and performative gesture-timbre space.