Finding repetitive patterns in 3D human motion captured data

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

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Detail(s)

Original languageEnglish
Title of host publicationProceedings of the 2nd International Conference on Ubiquitous Information Management and Communication, ICUIMC-2008
Pages396-403
Publication statusPublished - 2008

Conference

Title2nd International Conference on Ubiquitous Information Management and Communication, ICUIMC-2008
PlaceKorea, Republic of
CitySuwon
Period31 January - 1 February 2008

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. © 2008 ACM.

Research Area(s)

  • 3D human motion capture, cyclic and acyclic patterns, pattern discovery, point cloud similarity, repetitive pattern

Citation Format(s)

Finding repetitive patterns in 3D human motion captured data. / Tang, Kai-Tai; Leung, Howard; Komura, Taku; Shum, Hubert P. H.

Proceedings of the 2nd International Conference on Ubiquitous Information Management and Communication, ICUIMC-2008. 2008. p. 396-403.

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review