Interactive motion generation from examples

Okan Arikan, D. A. Forsyth

Research output: Contribution to journalConference articlepeer-review


There are many applications that demand large quantities of natural looking motion. It is difficult to synthesize motion that looks natural, particularly when it is people who must move. In this paper, we present a framework that generates human motions by cutting and pasting motion capture data. Selecting a collection of clips that yields an acceptable motion is a combinatorial problem that we manage as a randomized search of a hierarchy of graphs. This approach can generate motion sequences that satisfy a variety of constraints automatically. The motions are smooth and human-looking. They are generated in real time so that we can author complex motions interactively. The algorithm generates multiple motions that satisfy a given set of constraints, allowing a variety of choices for the animator. It can easily synthesize multiple motions that interact with each other using constraints. This framework allows the extensive re-use of motion capture data for new purposes.

Original languageEnglish (US)
Pages (from-to)483-490
Number of pages8
JournalACM Transactions on Graphics
Issue number3
StatePublished - Jan 1 2002
Externally publishedYes
EventACM Transactions on Graphics; Proceedings of ACM SIGGRAPH 2002 - , United States
Duration: Jul 23 2002Jul 26 2002


  • Animation with constraints
  • Clustering
  • Graph search
  • Human motion
  • Motion capture
  • Motion synthesis

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design


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