人体运动自适应动画的电子学习应用

IF 3.3 Q1 EDUCATION & EDUCATIONAL RESEARCH International Journal of Distance Education Technologies Pub Date : 2007-04-01 DOI:10.4018/jdet.2007040106
Frederick W. B. Li, Rynson W. H. Lau, T. Komura, M. Wang, B. Siu
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引用次数: 8

摘要

几十年来,人体运动动画一直是计算机图形学领域的主要研究课题之一。该领域发展的技术有助于在各种应用中呈现人体运动。这对于增强真实感以及提高用户对应用程序的兴趣至关重要。为了将这一优点应用到电子学习应用中,我们开发了有效的技术,通过互联网将人体运动信息传递给协作的电子学习用户,并在具有不同渲染能力的客户端机器中显示运动信息。我们的方法提供了一种机制来提取不同细节层次的人体运动数据(LoD)。我们还提出了一组重要因素,使电子学习系统能够根据运动的重要性和可用的网络带宽确定人体运动的LoD以进行渲染和传输。最后,通过实验结果验证了该方法的有效性。
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Adaptive Animation of Human Motion for E-Learning Applications
Human motion animation has been one of the major research topics in the field of computer graphics for decades. Techniques developed in this area help present human motions in various applications. This is crucial for enhancing the realism as well as promoting the user interest in the applications. To carry this merit to e-learning applications, we have developed efficient techniques for delivering human motion information over the Internet to collaborating e-learning users and revealing the motion information in the client machines with different rendering capability. 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 an e-learning system to determine the LoD of the human motion for rendering as well as transmission, according to the importance of the motion and the available network bandwidth. At the end of the paper, we demonstrate the effectiveness of the new method with some experimental results.
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来源期刊
CiteScore
9.10
自引率
0.00%
发文量
14
期刊介绍: Discussions of computational methods, algorithms, implemented prototype systems, and applications of open and distance learning are the focuses of this publication. Practical experiences and surveys of using distance learning systems are also welcome. Distance education technologies published in IJDET will be divided into three categories, communication technologies, intelligent technologies.
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