DEVS-based Modeling of a Human Motion Data Synthesis System
Seyed Ali Etemad and Gabriel A. Wainer
The 2010 Summer Computer Simulation Conference (SCSC 10)
Ottawa, Canada, July 11-14, 2010
We present a DEVS-based model for a human motion data synthesis system. The model includes basic components representing the behavior of the human motion control system (brain, spinal cord, and body). The system is designed to produce the outputs in the form of motion capture data. The proposed model and the output data produced can be widely applied in areas such as robotics and multimedia (animation). The simulations carried out illustrate the performance of the model, which is capable of mimicking of the human motion control system. The model is capable of taking into account minute features, either related to actor characteristics, or even noise. We show how discrete event modeling is a suitable means of describing human motion control and synthesis systems.
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