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

Randall, M ORCID: https://orcid.org/0009-0000-2869-1008, Harvey, C ORCID: https://orcid.org/0000-0002-4809-1592 and Williams, I ORCID: https://orcid.org/0000-0002-0651-0963 (2023) Online alignment of human motion using forward plotting-dynamic time warping. Computer Animation and Virtual Worlds, 34 (3-4). e2166. ISSN 1546-4261

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Abstract

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