Research on Real-Time Interactive Simulation for Concrete Dam Construction Process Based on Vega

2012 ◽  
Vol 256-259 ◽  
pp. 2849-2853
Author(s):  
Bing Yu Ren ◽  
Tao Guan

Combining the techniques of discrete event simulation and virtual-reality, research on real-time interactive simulation for concrete dam construction process is conducted, under the virtual-reality environment. The key technologies are discussed, including the modeling of DEM, optimization for real-time displaying of 3D scene, collision checking, real-time interaction and so on. A framework for the system of virtual-reality simulation for concrete dam construction operations based on Vega is presented. Virtual-reality supplies for construction simulation with a real-time interactive 3D simulation environment to inspect the validity of simulation model, which improves the simulation credibility and becomes a helpful tool for real-time decision making of construction operations. An example is performed to illustrate the feasibility of the system.

2012 ◽  
Vol 138 (1) ◽  
pp. 133-142 ◽  
Author(s):  
Jing Cheng ◽  
G. R. Liu ◽  
Tong-Chun Li ◽  
Sheng-Chuan Wu ◽  
Gui-Yong Zhang

Author(s):  
Alejandro Rosa-Pujazón ◽  
Isabel Barbancho ◽  
Lorenzo J. Tardón ◽  
Ana M. Barbancho

In this paper, an implementation of a virtual reality based application for drumkit simulation is presented. The system tracks user motion through the use of a Kinect camera sensor, and recognizes and detects user-generated drum-hitting gestures in real-time. In order to compensate the effects of latency in the sensing stage and provide real-time interaction, the system uses a gesture detection model to predict user movements. The paper discusses the use of two different machine learning based solutions to this problem: the first one is based on the analysis of velocity and acceleration peaks, the other solution is based on Wiener filtering. This gesture detector was tested and integrated into a full implementation of a drumkit simulator, capable of discriminating up to 3, 5 or 7 different drum sounds. An experiment with 14 participants was conducted to assess the system's viability and impact on user experience and satisfaction.


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