Towards soundpainting gesture recognition

Thomas Pellegrini, Patrice Guyot, Baptiste Angles, Christophe Mollaret, Christophe Mangou

Audio Mostly, 2014

In this article, we describe our recent research activities on gesture recognition for soundpainting applications. Soundpainting is a multidisciplinary live composing sign language for musicians, actors, dancers, and visual artists. These gestures are produced by a soundpainter, which plays the role of a conductor, in order to lead a live performance. Soundpainting gestures are normalized and well defined, thus they are a very interesting case study in automatic gesture recognition. We describe a first gesture recognition system based on hidden Markov Models. We also report on the creation of a pilot corpus of soundpainting RGB/depth videos. The use of a computer could have many interesting applications listed in the paper. These applications are not limited to live performance, in which the computer would act as a performer. It could also help to investigate the balance between improvisation and planned creation in the particular context of soundpainting.