DocumentCode
2764598
Title
A Direct3D-Based Multi-model E-Learning System for Chinese Sign Language
Author
Liu, Juan ; Chen, Yiqiang ; Yan, Qingcong ; Liu, Junfa
Author_Institution
Coll. of Inf. Eng., Xiangtan Univ., Xiangtan, China
fYear
2009
fDate
7-9 March 2009
Firstpage
100
Lastpage
104
Abstract
This paper describes a direct 3D-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 direct 3D 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.
Keywords
computer aided instruction; computer animation; gesture recognition; handicapped aids; human computer interaction; solid modelling; 3D human model animation; Chinese sign language; IK; constraint-based inverse kinematics algorithm; direct 3D-based multimodel e-learning system; gesture motion retargeting; hearing-impaired people; human-computer interface; serration problem; skinned mesh technique; Animation; Auditory system; Design engineering; Digital images; Educational institutions; Electronic learning; Handicapped aids; Humans; Kinematics; Vocabulary; Chinese sign laguage; Direct3D; inverse kinematics; multi-model; skinned mesh;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital Image Processing, 2009 International Conference on
Conference_Location
Bangkok
Print_ISBN
978-0-7695-3565-4
Type
conf
DOI
10.1109/ICDIP.2009.10
Filename
5190518
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