21 Scopus citations

Abstract

We present a novel technique for motion annotation that adapts to a person's style and vocabulary of basic movements (gestures). The system segments continuous motion sequences into gestures, which it then documents in a personalized annotation with an intuitive hierarchical representation. Initial testing suggests that software based on this technique could be an effective teaching aid for dance and sports.

Original languageEnglish (US)
Pages (from-to)37-45
Number of pages9
JournalIEEE Multimedia
Volume13
Issue number1
DOIs
StatePublished - Jan 1 2006

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Media Technology
  • Hardware and Architecture
  • Computer Science Applications

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