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Presentation
Human motion simulation and action corpus
Faculty of Informatics - Papers (Archive)
  • Gang Zheng, University of Wollongong
  • Wanqing Li, University of Wollongong
  • Philip Ogunbona, University of Wollongong
  • Liju Dong, University of Wollongong
  • Igor Kharitonenko, University of Wollongong
RIS ID
22293
Publication Date
1-1-2007
Publication Details

Zheng, G., Li, W., Ogunbona, P., Dong, L. & Kharitonenko, I. (2007). Human motion simulation and action corpus. Digital human modeling: Lecture Notes in Computer Science (pp. 314-322). Germany: Spinger.

Abstract

Acquisition of large scale good quality training samples is becoming a major issue in machine learning based human motion analysis. This paper presents a method to simulate continuous gross human body motion with the intention to establish a human motion corpus for learning and recognition. The simulation is achieved by a temporal-spatialtemporal decomposition of human motion into actions, joint actions and actionlets based on the human kinematic model. The actionlet models the primitive moving phase of a joint and represents the muscle movement governed by kinesiological principles. Joint actions and body actions are constructed from actionlets through constrained concatenation and synchronization. Methods for concatenation and synchronization are proposed in this paper. An action corpus with small number of action vocabularies is created to verify the feasibility of the proposed method.

Citation Information
Gang Zheng, Wanqing Li, Philip Ogunbona, Liju Dong, et al.. "Human motion simulation and action corpus" (2007) p. 314 - 322
Available at: http://works.bepress.com/p_ogunbona/27/