Abstract: Motion capture (MOCAP) data clips can be visualized as a sequence of densely spaced curves, defining the joint angles of the articulated figure, over a specified period of time. Current research has focussed on frequency and time domain techniques to edit these curves, preserving the original qualities of the motion yet making it reusable in different spatio-temporal situations. We refine Guo et. al.'s framespace interpolation algorithm which abstracts motion sequences as 1D signals, and interpolates between them to create higher dimension signals. Our method is more suitable for (though not limited to) editing densely spaced MOCAP data, than the existing algorithm. It achieves consistent motion transition through motion-state based dynamic warping of framespaces and automatic transition timing via framespace frequency interpolation.