ProprioLoop is an interactive motion visualizer designed to train a mover's attention to consciously consider non-visual sensory input in the movement decision-making process. With visuals that amplify and highlight physically sensible differences in movement, such as sudden or sustained changes in momentum, the audience gains access to the more intimate, subjective experience of the mover.
ProprioLoop was born out of a project for MotionBank's 4th Choreographic Coding Lab in New York City. Our team, Caitin Sikora, Eozin Che, and Chanwook Min, aimed to explore decision making in the movement improvisational setting through motion capture and visualization. We hoped to make the proprioceptive and equilibrioceptive experiences of the dancer more visible to an observer.
At the onset of the Choreographic Coding Lab, our team had recorded motion capture data for improvisations focused on three decision-making models. As we learned more about moving in the motion capture system and working with the data, we decided it could be useful to create an app to visualize physical parameters of human movement like momentum, center of mass, and acceleration for dancers to use as an improvisational training tool. Dancers could use the visualization to determine how accurate and honest they were being to choices based on these parameters.
The current version of ProprioLoop was featured in an exhibition at MIT Media Lab's Hacking Arts Festival in September 2015. The ProprioLoop team will continue to develop meaningful, rich audio-visual representations of the movement, along with a user interface that will help dancers.