The research proposes a model for the representation and storage of motion data that enables the communication, storage, and analysis of patterns of motion, as with spoken and written languages. The basic problem is the lack of a machine-readable motion alphabet. We thus set out to define the elemental components and building blocks of motion, coming up with what we call the motion byte as the basis for a motion language that has words, phrases, and sentences. The binary-based model we develop, which is significantly different from the common “key frames” approach, is also a method of storing motion data. Comparison with a standard motion system, based on key frames, indicates a significant advantage for our binary model.