Theory of Modeling and Simulation
Theory of Modeling and Simulation
A Model Based Approach in Extracting and Generating Human Motion
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
Hybrid Models for Human Motion Recognition
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Computational studies of human motion: part 1, tracking and motion synthesis
Foundations and Trends® in Computer Graphics and Vision
Kinematics Modeling of Human Motion Using System Identification Technique
AMS '08 Proceedings of the 2008 Second Asia International Conference on Modelling & Simulation (AMS)
Memory-Based Human Motion Simulation for Computer-Aided Ergonomic Design
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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In this paper we present a DEVS-based model for a human motion data synthesis system. The model includes basic components representing the behavior of a human motion control system (brain, spinal cord, and body). The system is designed to produce the output in the form of motion capture data. The proposed model and the output data produced can be widely applied in different areas such as robotics and multimedia (animation). The simulations carried out illustrate the performance of the model, which is capable of mimicking a human motion control system. The model is capable of taking into account minute features related to actor characteristics and even noise. Furthermore we show how discrete event modeling is a suitable means for representing human motion data.