University of Worcester Worcester Research and Publications
 
  USER PANEL:
  ABOUT THE COLLECTION:
  CONTACT DETAILS:

Finding Repetitive Patterns in 3D Human Motion Captured Data

Tang, Jeff K. T. and Leung, Howard and Komura, Taku and Shum, Hubert P. H. (2008) Finding Repetitive Patterns in 3D Human Motion Captured Data. Proceedings of the International Conference on Ubiquitous Information Management and Communication . pp. 396-403. ISSN 978-1-59593-993-7

Full text not available from this repository. (Request a copy)

Abstract

Finding repetitive patterns is important to many applications such as bioinformatics, finance and speech processing, etc. Repetitive patterns can be either cyclic or acyclic such that the patterns are continuous and distributed respectively. In this paper, we are going to find repetitive patterns in a given motion signal without prior knowledge about the type of motion. It is relatively easier to find repetitive patterns in discrete signal that contains a limited number of states by dynamic programming. However, it is impractical to identify exactly matched states in a continuous signal such as captured human motion data. A point cloud similarity of the input motion signal itself is considered and the longest similar patterns are located by tracing and extending matched posture pairs. Through pattern alignment and autoclustering, cyclic and acyclic patterns are identified. Experiment results show that our approach can locate repetitive movements with small error rates.

Item Type: Article
Additional Information:

The full-text of this paper can be accessed via the Official URL.

Uncontrolled Keywords: 3D human motion capture, pattern discovery, repetitive pattern, cyclic and acyclic patterns, point cloud similarity.
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Academic Departments > Worcester Business School
Depositing User: Hubert Shum
Date Deposited: 10 May 2011 13:03
Last Modified: 10 May 2011 13:03
URI: https://eprints.worc.ac.uk/id/eprint/1320

Actions (login required)

View Item View Item
 
     
Worcester Research and Publications is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.