Online Gesture Analysis and Control of Audio Processing

This chapter presents a general framework for gesture-controlled audio processing. The gesture parameters are assumed to be multi-dimensional temporal profiles obtained from movement or sound capture systems. The analysis is based on machine learning techniques, comparing the incoming dataflow with stored templates. The mapping procedures between the gesture and the audio processing include a specific method we called temporal mapping. In this case, the temporal evolution of the gesture input is taken into account in the mapping process. We describe an example of a possible use of the framework that we experimented with in various contexts, including music and dance performances, music pedagogy and installations.