Presence: Teleoperators and Virtual Environments
The NURBS book
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Efficient generation of motion transitions using spacetime constraints
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Wavelets for computer graphics: theory and applications
Wavelets for computer graphics: theory and applications
A compression/decompression method for streaming based humanoid animation
Proceedings of the fourth symposium on Virtual reality modeling language
Physically based motion transformation
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
A method for progressive and selective transmission of multi-resolution models
Proceedings of the ACM symposium on Virtual reality software and technology
Interactive skeleton techniques for enhancing motion dynamics in key frame animation
Communications of the ACM
See How They Run: Modeling Evacuations in VR
IEEE Computer Graphics and Applications
Adaptive Multi-Resolution Modeling Technique Based on Viewing and Animation Parameters
VRAIS '97 Proceedings of the 1997 Virtual Reality Annual International Symposium (VRAIS '97)
A Distributed Multiuser Virtual Space System
IEEE Computer Graphics and Applications
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Web-based training offers many benefits over instructor-led training environments. It provides a time, class size and geographical location independent learning platform to students. To enable active learning and enhance the effectiveness in students' understanding of the training materials, multimedia cues, like 3D graphics, animation and sound, have been employed in web-based training systems to achieve these goals. However, if a training system involves a large amount of 3D animation, such as crowd animation in an emergency evacuation training system, the requirements for rendering capability and network bandwidth may become too high to meet. In this paper, we propose an adaptive human motion animation method to support real-time rendering and transmission of human motions in web-based training systems. Our method offers a mechanism to extract human motion data at various levels of detail (LoD). We also propose a set of importance factors to allow a web-based training system to determine the LoD of the human motion for rendering as well as the LoD for transmission, according to the importance of the motion and the available network bandwidth, respectively. We demonstrate the effectiveness of the new method with some experimental results.