This class will introduce how to access camera data in Max, and then transform that stream of numbers into something more useful. We will cover face detection, motion tracking, gesture recognition, and the very powerful Computer Vision Library for Max. Everyone will leave with a set of files to help them develop their own projects.
Lights, Camera, Interaction!
Adam Rokhsar
Sun, Jan 16, noon to 6pmIf technology replaced magic, magic crept back into the world through the interactive arts. This class is an introduction to using a camera in the programming environment MaxMSP to make interactive art possible. If you are a dancer who wants to control animations with your body, a musician who wants to change guitar sounds by bopping your head, a sculpter who wants your creation to wave hello whenever someone walks by… then this is the place to get started.
This class will introduce how to access camera data in Max, and then transform that stream of numbers into something more useful. We will cover face detection, motion tracking, gesture recognition, and the very powerful Computer Vision Library for Max. Everyone will leave with a set of files to help them develop their own projects.
Adam Rokhsar is a multimedia artist with degrees in psychology from Cornell University and the University of Pennsylvania. He is a member of the Music Information Retrieval Laboratory, the head coordinator of the Music Technology student interest groups. While earning a Master’s degree in Music Technology from New York University, Adam designs sound for interactive installations, teaches computer music and video programming, and is working on a Master’s thesis on machine learning algorithms. His sound design work can currently be seen in the United States Holocaust Memorial Museum and the Chicago Museum of Science and Industry, and his video work was displayed in the Jakopic Gallery as part of multimedia project Senza Televisione.