Human movement analysis for interactive dance

Gang Qian, Jodi James, Todd Ingalls, Thanassis Rikakis, Stjepan Rajko, Yi Wang, Daniel Whiteley, Feng Guo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

In this paper, we provide a brief overview of the human movement analysis research at the Arts, Media and Engineering program, Arizona State University, and its applications in interactive dance. A family of robust algorithms has been developed to analyze dancers' movement at multiple temporal and spatial levels from a number of perspectives such as marker distributions, joint angles, body silhouettes as well as weight distributions to conduct reliable dancer tracking, posture and gesture recognition. Multiple movement sensing modalities have been used and sometimes fused in our current research, including marker-based motion capture system, pressure sensitive floor and video cameras. Some of the developed algorithms have been successfully used in real life dance performances.

Original languageEnglish (US)
Title of host publicationImage and Video Retrieval - 5th International Conference, CIVR 2006, Proceedings
PublisherSpringer Verlag
Pages499-502
Number of pages4
ISBN (Print)3540360182, 9783540360186
DOIs
StatePublished - Jan 1 2006
Event5th International Conference on Image and Video Retrieval, CIVR 2006 - Tempe, AZ, United States
Duration: Jul 13 2006Jul 15 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4071 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other5th International Conference on Image and Video Retrieval, CIVR 2006
CountryUnited States
CityTempe, AZ
Period7/13/067/15/06

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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