title: Indexing 3-D human motion repositories for content-based retrieval.
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.
authors.affiliation: Department of Computer Science, Arizona State University, Tempe, AZ 85287, USA. gaurav.pradhan@asu.edu
authors.forename: Gaurav N
authors.initials: GN
authors.lastname: Pradhan
authors.forename: Balakrishnan
authors.initials: B
authors.lastname: Prabhakaran
mesh_terms: D016208:Databases, Factual; D018594:Human Body; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods*; D007596:Joints / Q000502:physiology; D009068:Movement