Chapter

Digital Human Modeling

Volume 4561 of the series Lecture Notes in Computer Science pp 314-322

Human Motion Simulation and Action Corpus

  • Gang ZhengAffiliated withSchool of Computer Science and Software Engineering, University of Wollongong
  • , Wanqing LiAffiliated withSchool of Computer Science and Software Engineering, University of Wollongong
  • , Philip OgunbonaAffiliated withSchool of Computer Science and Software Engineering, University of Wollongong
  • , Liju DongAffiliated withSchool of Computer Science and Software Engineering, University of WollongongCollege of Information Engineering, Shenyang University
  • , Igor KharitonenkoAffiliated withSchool of Computer Science and Software Engineering, University of Wollongong

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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.

Keywords

Human Motion Actions Simulation Motion Editing