Adrián Artacho is a composer and an artistic researcher at the crossroads between movement and sound. He completed his master's degree at Music and Arts Private University of Vienna with a thesis of Form Spaces, followed by a postgraduate course on Electroacoustic composition at the mdw. As a PhD candidate at the Institute for Composition and Electroacoustics, he researches the use of technology to augment performer capabilities. Additionally, Artacho holds a BA in translation, and as a certified cultural mediator he develops science communication projects on behalf of the University of Vienna.

adrian.artacho-bueno@students.mdw.ac.at

The Augmented Performer. An ecological approach to gesture segmentation in choreomusical research

The quantitative characterisation of high-level features in the context of choreomusical research poses several challenges, technical as well as conceptual. Although state-of-the-art technical solutions for the capture of performance data often do exist, the constraints of a lab setting seem to stand in the way of more widespread adoption of data-based methods in the field. The goal of this project is to put forth a protocol for adequate documentation, capture and processing of multimodal quantitative performance data in ecological settings, addressing the specific needs of choreomusical research, and evaluating currently available technical solutions against pre-established criteria of accuracy, usability, and suitability. I am particularly interested in machine learning approaches to realtime temporal segmentation that can be easily integrated in the workflow of the artist-researcher, therefore closing the gap between the lab and everyday artistic practices.