Online alignment of human motion using forward plotting‐dynamic time warping

A number of approaches to online time warping have been proposed based on plotting an alignment path backwards from a selected end-point. When continually updating warp align series with live data source, such as stream motion capture data, the use makes it hard maintain monotonic constraint. To solve this problem, forward plotting, referred FP-DTW, are and evaluated by applying them human motions. We demonstrate that for temporal is viable solution when otherwise not possible.