A Direct3D-Based Multi-model E-Learning System for Chinese Sign Language

Juan Liu, Yiqiang Chen, Qingcong Yan, Junfa Liu
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引用次数: 1

Abstract

This paper describes a Direct3D-based multi-model e-learning system for Chinese sign language (CSL), which we design for both hearing-impaired people and hearing people to learn standard CSL. This system includes two key techniques: 3D human model animation and gesture motion retargeting. A novel virtual human animation approach is proposed to realize high-quality and realistic 3D human model animation. This approach utilizes skinned mesh technique based on Direct3D and the effect of 3D human model animation shows that the approach we proposed have good performance and can successfully solve the serration problem which is a definite flaw of traditional CSL. In addition, a constraint-based Inverse Kinematics (IK) algorithm for gesture motion retargeting is also presented in this paper. As there are multiple models in our system, the proposed algorithm is aimed to retarget the sign language data captured by motion capture device to different 3D human models with different sizes and proportions. Experimental results prove that it can greatly improve the exactness of sign language.
基于direct3d的多模型汉语手语电子学习系统
本文介绍了一种基于direct3d技术的多模型中文手语电子学习系统,该系统是为听障人士和正常人学习标准手语而设计的。该系统包括两个关键技术:三维人体模型动画和手势动作重定向。为了实现高质量、逼真的三维人体模型动画,提出了一种新的虚拟人体动画方法。该方法利用了基于Direct3D的蒙皮网格技术,三维人体模型动画效果表明,该方法具有良好的性能,能够成功解决传统CSL的明显缺陷——锯齿化问题。此外,本文还提出了一种基于约束的手势运动重定向逆运动学算法。由于我们的系统中有多个模型,因此提出的算法旨在将动作捕捉设备捕获的手语数据重新定位到不同尺寸和比例的不同3D人体模型上。实验结果表明,该方法可以大大提高手语识别的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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