Learning method of gesture templates for sign language recognition based on gesture components

被引：0

作者：

Sagawa, H ^{[1
]}

Takeuchi, M ^{[1
]}

机构：

[1] RWCP, Multi Modal Funct Hitachi Lab, Kokubunji, Tokyo 185, Japan

来源：

INTERNATIONAL SOCIETY FOR COMPUTERS AND THEIR APPLICATIONS 13TH INTERNATIONAL CONFERENCE ON COMPUTERS AND THEIR APPLICATIONS | 1998年

关键词：

sign language; gesture recognition; gesture component; learning method; template;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Sign-language gestures are composed of gesture components. We previously developed a recognition method for such sign-language gestures where gesture components are recognized and integrated. With this method, though, gesture templates are not easily created because the relationships between the gesture components and the parameters of the gesture components must be described in the templates, which takes considerable time. In this paper, a method for learning gesture templates so that they can be created more easily is discussed.

引用

页码：344 / 347

页数：4

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