Indexing 3-D human motion repositories for content-based retrieval

  • Authors:
  • Gaurav N. Pradhan;Balakrishnan Prabhakaran

  • Affiliations:
  • Department of Computer Science, Arizona State University, Tempe, AZ;Department of Computer Science, University of Texas at Dallas, Richardson, TX

  • Venue:
  • IEEE Transactions on Information Technology in Biomedicine - Special section on computational intelligence in medical systems
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

Content-based retrieval of the similar motions for the human joints has significant impact in the fields of physical medicine, biomedicine, rehabilitation, and motion therapy. In this paper, we propose an efficient indexing approach for 3-D human motion capture data, supporting queries involving both subbody motions as well as whole-body motions.