Dance Recognition System Using Lower Body Movement

in Journal of Applied Biomechanics

Click name to view affiliation

Travis T. SimpsonUniversity of Virginia

Search for other papers by Travis T. Simpson in
Current site
Google Scholar
PubMed
Close
,
Susan L. WiesnerUniversity of Virginia

Search for other papers by Susan L. Wiesner in
Current site
Google Scholar
PubMed
Close
, and
Bradford C. BennettUniversity of Virginia

Search for other papers by Bradford C. Bennett in
Current site
Google Scholar
PubMed
Close
Restricted access

The current means of locating specific movements in film necessitate hours of viewing, making the task of conducting research into movement characteristics and patterns tedious and difficult. This is particularly problematic for the research and analysis of complex movement systems such as sports and dance. While some systems have been developed to manually annotate film, to date no automated way of identifying complex, full body movement exists. With pattern recognition technology and knowledge of joint locations, automatically describing filmed movement using computer software is possible. This study used various forms of lower body kinematic analysis to identify codified dance movements. We created an algorithm that compares an unknown move with a specified start and stop against known dance moves. Our recognition method consists of classification and template correlation using a database of model moves. This system was optimized to include nearly 90 dance and Tai Chi Chuan movements, producing accurate name identification in over 97% of trials. In addition, the program had the capability to provide a kinematic description of either matched or unmatched moves obtained from classification recognition

Travis T. Simpson is with the Department of Mechanical and Aerospace Engineering, University of Virginia, Charlottesville, VA. Susan L. Wiesner is with the Department of Drama, University of Virginia, Charlottesville, VA. Bradford C. Bennett (Corresponding Author) is with the Department of Mechanical and Aerospace Engineering and with the Department of Orthopaedic Surgery, University of Virginia, Charlottesville, VA.

  • Collapse
  • Expand
All Time Past Year Past 30 Days
Abstract Views 1742 669 134
Full Text Views 38 8 0
PDF Downloads 42 12 0