Paper Info
Title
DEVS-based modeling of a human motion data synthesis and control system
Abstract
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.
Year
Venue
Keywords
2010
SummerSim
human motion control system,output data,human motion data synthesis,account minute,basic component,actor characteristic,human motion data,DEVS-based modeling,motion capture data,proposed model,DEVS-based model
Field
DocType
Citations 
Motion capture,Computer science,Simulation,Human motion,DEVS,Data synthesis,Animation,Artificial intelligence,Control system,Robotics,Discrete event modeling
Conference
0
PageRank 
References 
Authors
0.34
7
2
Name
Order
Citations
PageRank
Seyed Ali Etemad181.48
Gabriel A. Wainer21584227.77