ABSTRACT Performing artists have frequently used technology to sense and extend the body’s natural expressivity through live control of multimedia. However, the sophistication, emotional content and variety of expression possible through the original physical channels are often not captured by these technologies and thus cannot be transferred from body to digital media. In this article the author brings together research from expressive performance analysis, machine learning and technological performance extension techniques to define a new framework for recognition and extension of expressive physical performance.