Intuitively, one of the best ways to understand motion is to see it, but how can we picture the large multidimensional databases of motion collected today in surgical training or biomechanical studies? In this talk, I will present recent research that begins to address this question through developing novel methods for interactively querying and visualizing motion data. I will describe motivating problems and initial tools developed to support data analysis in two application areas: (1) surgical training, and (2) biomechanical experiments in humans and animals.