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Contributions of Sign Language Research to Gesture Understanding: What can Multimodal Computational Systems Learn from Sign Language Research.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。
Int J Semant Comput. 2008;2(1):5-9. doi: 10.1142/S1793351X08000324.
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Kinect-ing the Dots: Using Motion-Capture Technology to Distinguish Sign Language Linguistic From Gestural Expressions.用 Kinect 捕捉手语语言学和手势表达的差异：运用运动捕捉技术。
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Reduced on-line speech gesture integration during multimodal language processing in adults with moderate-severe traumatic brain injury: Evidence from eye-tracking.中度至重度创伤性脑损伤成人在多模态语言处理过程中在线言语手势整合减少：来自眼动追踪的证据。
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本文引用的文献

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Neural correlates of human action observation in hearing and deaf subjects.听力正常和失聪受试者中人类动作观察的神经关联。
Brain Res. 2007 Jun 4;1152:111-29. doi: 10.1016/j.brainres.2007.03.054. Epub 2007 Mar 24.
2
When language meets action: the neural integration of gesture and speech.当语言与行动相遇：手势与言语的神经整合。
Cereb Cortex. 2007 Oct;17(10):2322-33. doi: 10.1093/cercor/bhl141. Epub 2006 Dec 11.
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Differential cerebral activation during observation of expressive gestures and motor acts.观察表达性手势和运动行为时大脑的差异激活。
Neuropsychologia. 2006;44(10):1787-95. doi: 10.1016/j.neuropsychologia.2006.03.016. Epub 2006 May 30.
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What language says about the psychology of events.语言如何揭示事件背后的心理。
Trends Cogn Sci. 2006 Mar;10(3):91-2. doi: 10.1016/j.tics.2006.01.002. Epub 2006 Feb 7.
5
On Broca, brain, and binding: a new framework.论布洛卡区、大脑与联结：一个新框架。
Trends Cogn Sci. 2005 Sep;9(9):416-23. doi: 10.1016/j.tics.2005.07.004.
6
The role of gestures in spatial working memory and speech.手势在空间工作记忆和言语中的作用。
Am J Psychol. 2004 Fall;117(3):411-24.
7
Précis of Foundations of language: brain, meaning, grammar, evolution.《语言的基础：大脑、意义、语法、进化》概要
Behav Brain Sci. 2003 Dec;26(6):651-65; discussion 666-707. doi: 10.1017/s0140525x03000153.
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The emergence of a shared action ontology: building blocks for a theory.共享行动本体论的出现：一种理论的基石
Conscious Cogn. 2003 Dec;12(4):549-71. doi: 10.1016/s1053-8100(03)00072-2.
9
The syntax of event structure.事件结构的句法。
Cognition. 1991 Dec;41(1-3):47-81. doi: 10.1016/0010-0277(91)90032-y.

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。

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

作者信息

Wilbur Ronnie B, Malaia Evguenia

机构信息

Linguistics Program, Purdue University, 500 Oval Drive, West Lafayette, IN 47907, USA,

出版信息

Int J Semant Comput. 2008;2(1):5-9. doi: 10.1142/S1793351X08000324.

DOI:10.1142/S1793351X08000324
PMID:20209073
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2832200/
Abstract

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.

摘要

本文探讨了手势与手语动词谓词之间在神经学、构成及功能方面的相似性。通过对手语动词动作的分析，我们对手势动作分析（动作捕捉、运动学分析、轨迹内部结构）提出了建议。通过对手语动词差异的分析，我们对伴随言语的手势功能分析提出了建议。