Essential Tools for Computational Research on Visual-Gestural Language

视觉手势语言计算研究的基本工具

基本信息

  • 批准号:
    9912573
  • 负责人:
  • 金额:
    $ 68.26万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2000
  • 资助国家:
    美国
  • 起止时间:
    2000-05-15 至 2004-04-30
  • 项目状态:
    已结题

项目摘要

This is the first-year funding of a three year continuing award. Research on recognition and generation of signed languages and the gestural component of spoken languages has been held back by the unavailability of large-scale linguistically annotated corpora of the kind that led to significant advances in the area of spoken language. A major obstacle to the production of such corpora has been the lack of computational tools to assist in efficient analysis and transcription of visual language data. In this project the PI and her team will develop the tools and techniques necessary to support efficient transcription of finely detailed phonological information and its integration with information provided by computational algorithms, so as to enable the creation of large-scale corpora annotated at the level of granularity essential for computer science research. Machine vision-based algorithms for semi-automation of several aspects of the transcription process will also be developed.This research will result in the production and public dissemination of corpora that will include fine-grained linguistic annotations of ASL video data. The availability of these corpora and the refinement of computational tools for analyzing visual data will be invaluable for the linguistic study of signed languages and the gestural component of spoken languages. The corpora will be used in training computer models, thereby leading to advances in both recognition and generation of signed languages and gesture. The tools will have educational applications for the teaching of ASL and other signed languages. Ultimately, this research will have implications for human-computer interfaces, enabling users to interact with computers via sign language or via a combination of speech and gesture, and may also lead to alternate input mechanisms for disabled users as well as techniques for automatic recognition and classification of human actions.
这是一个为期三年的连续奖励的第一年资助。 识别和生成的手语和口语的手势组成部分的研究一直阻碍了大规模的语言注释语料库,导致在口语领域的重大进展。 制作这种语料库的一个主要障碍是缺乏计算工具来帮助有效地分析和转录视觉语言数据。 在这个项目中,PI和她的团队将开发必要的工具和技术,以支持精细详细的语音信息的有效转录及其与计算算法提供的信息的整合,从而能够创建在计算机科学研究所必需的粒度水平上注释的大规模语料库。 还将开发基于机器视觉的算法,用于转录过程的几个方面的半自动化。这项研究将导致语料库的制作和公开传播,其中将包括美国手语视频数据的细粒度语言注释。 这些语料库的可用性和用于分析视觉数据的计算工具的改进对于手语的语言学研究和口语的手势成分将是非常宝贵的。 语料库将用于训练计算机模型,从而在识别和生成手语和手势方面取得进展。 这些工具将用于美国手语和其他手语的教学。 最终,这项研究将对人机界面产生影响,使用户能够通过手语或语音和手势的组合与计算机进行交互,并可能为残疾用户提供替代输入机制以及自动识别和分类人类行为的技术。

项目成果

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Carol Neidle其他文献

Carol Neidle的其他文献

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{{ truncateString('Carol Neidle', 18)}}的其他基金

Collaborative Research: HCC: Medium: Linguistically-Driven Sign Recognition from Continuous Signing for American Sign Language (ASL)
合作研究:HCC:媒介:美国手语 (ASL) 连续手语中语言驱动的手语识别
  • 批准号:
    2212302
  • 财政年份:
    2022
  • 资助金额:
    $ 68.26万
  • 项目类别:
    Standard Grant
CHS: Medium: Collaborative Research: Scalable Integration of Data-Driven and Model-Based Methods for Large Vocabulary Sign Recognition and Search
CHS:中:协作研究:用于大词汇量符号识别和搜索的数据驱动和基于模型的方法的可扩展集成
  • 批准号:
    1763486
  • 财政年份:
    2018
  • 资助金额:
    $ 68.26万
  • 项目类别:
    Standard Grant
EAGER: Collaborative Research: Data Visualizations for Linguistically Annotated, Publicly Shared, Video Corpora for American Sign Language (ASL)
EAGER:协作研究:美国手语 (ASL) 语言注释、公开共享视频语料库的数据可视化
  • 批准号:
    1748016
  • 财政年份:
    2017
  • 资助金额:
    $ 68.26万
  • 项目类别:
    Standard Grant
Collaborative Research: CI-ADDO-EN: Development of Publicly Available, Easily Searchable, Linguistically Analyzed, Video Corpora for Sign Language and Gesture Research
合作研究:CI-ADDO-EN:开发公开可用、易于搜索、语言分析的视频语料库,用于手语和手势研究
  • 批准号:
    1059218
  • 财政年份:
    2011
  • 资助金额:
    $ 68.26万
  • 项目类别:
    Standard Grant
HCC: Medium: Collaborative Research: Generating Accurate, Understandable Sign Language Animations Based on Analysis of Human Signing
HCC:媒介:协作研究:根据人类手语分析生成准确、可理解的手语动画
  • 批准号:
    1065013
  • 财政年份:
    2011
  • 资助金额:
    $ 68.26万
  • 项目类别:
    Continuing Grant
III: Medium: Collaborative Research: Linguistically Based ASL Sign Recognition as a Structured Multivariate Learning Problem
III:媒介:协作研究:基于语言的 ASL 符号识别作为结构化多元学习问题
  • 批准号:
    0964385
  • 财政年份:
    2010
  • 资助金额:
    $ 68.26万
  • 项目类别:
    Standard Grant
Collaborative Research: II-EN: Development of Publicly Available, Easily Searchable, Linguistically Analyzed, Video Corpora for Sign Language and Gesture Research
合作研究:II-EN:开发公开可用、易于搜索、语言分析的视频语料库,用于手语和手势研究
  • 批准号:
    0958442
  • 财政年份:
    2010
  • 资助金额:
    $ 68.26万
  • 项目类别:
    Standard Grant
COLLABORATIVE RESEARCH: ITR [ASE+ECS]-[dmc+int] DDDAS Advances in Recognition and Interpretation of Human Motion: An Integrated Approach to ASL Recognition
合作研究:ITR [ASE ECS]-[dmc int] DDDAS 在人体运动识别和解释方面的进展:ASL 识别的集成方法
  • 批准号:
    0427988
  • 财政年份:
    2004
  • 资助金额:
    $ 68.26万
  • 项目类别:
    Standard Grant
Pattern Discovery in Signed Languages and Gestural Communication
手语和手势交流中的模式发现
  • 批准号:
    0329009
  • 财政年份:
    2003
  • 资助金额:
    $ 68.26万
  • 项目类别:
    Continuing Grant
CARE: National Center for Sign Language and Gesture Resources (collaborative proposal)
CARE:国家手语和手势资源中心(合作提案)
  • 批准号:
    9809340
  • 财政年份:
    1998
  • 资助金额:
    $ 68.26万
  • 项目类别:
    Standard Grant

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