手语研究对手势理解的贡献:多模态计算系统能从手语研究中学到什么?

IF 0.3 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

International Journal of Semantic Computing Pub Date : 2008-01-01 DOI:10.1142/S1793351X08000324

Ronnie B Wilbur, Evguenia Malaia

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引用次数: 18

摘要

本文从神经学、结构学和功能学三个方面探讨了手势和动词符号谓词之间的相似性。从动词符号运动的分析出发，对手势运动的分析提出建议(动作捕捉、运动学分析、轨迹内部结构)。从动词符号的区别分析出发，提出了分析同语手势功能的建议。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Contributions of Sign Language Research to Gesture Understanding: What can Multimodal Computational Systems Learn from Sign Language Research.

This paper considers neurological, formational and functional similarities between gestures and signed verb predicates. From analysis of verb sign movement, we offer suggestions for analyzing gestural movement (motion capture, kinematic analysis, trajectory internal structure). From analysis of verb sign distinctions, we offer suggestions for analyzing co-speech gesture functions.

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来源期刊

International Journal of Semantic Computing COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-

CiteScore

1.70

自引率

12.50%

发文量