Intelligent Support System for Learning Sign Language with Video
Intelligent Support System for Learning Sign Language with Video
批准号:
16500616
负责人:
TANAKA Kazumoto
金额:
$1.09万
依托单位:
依托单位国家:
日本
项目类别:
Grant-in-Aid for Scientific Research (C)
财政年份:
2004
资助国家:
日本
项目状态:
已结题
起止时间:
2004 至 2005
中文摘要
1.一种手语单词关键特征的提取与建模方法(1)手语视频中的特征提取我们提出了一种通过对手语说话者上的彩色指套、拇指套和手腕带进行颜色跟踪来分析手部动作和手指形状的方法。该方法利用特征空间法提取主成分流量向量作为关键特征。然后,利用傅立叶描述子消除流矢量中的谐波含量。基于自信息的特征建模与关键特征提取我们用运动音素和指形音素来表达手势特征。其次,提出了一种基于手语特征库中每个特征自身信息提取关键特征的方法。2.特征匹配方法根据错误的严重程度将手语学习者的运动错误分为两个级别,并提出了一种基于路径搜索的每个级别的特征匹配方法。我们的方法使用了扩展的标准运动特征,其中包括轻微变形的误差特征。由于采用这种方法,检测系统同时提取运动误差并确定其大小,以实现误差的实时反馈。3.倾斜控制方法根据特征重要性和人类记忆过程,提出了一种分阶段学习关键特征的记忆策略。通过对手语单词的学习实验,证明了该方法对手语单词的长期记忆是有效的。
英文摘要
1.A Method for Extraction and Modeling of Key Features in Sign Language Words(1)Feature Extraction from Sign Language VideoWe have developed a method for analyzing hand motions and finger shapes by color-tracking of colored fingerstalls, thumbstalls and wrist bands that are attached to a sign language speaker. The method extracts principal component flow vectors as key features using eigenspace method. Next, our method cancels harmonic contents of flow vectors by using fourier descriptor. In addition, the method can correct image distortion occurred by filming with wide-range lens.(2)Feature Modeling and Key Feature Extraction Based on Self InformationWe expressed sign features by motion phonemes and finger shape phonemes. Next, we have proposed a method that extracts key features based on self information of each feature within sign feature database.2.Feature Matching MethodWe classify motion errors of sign language learners into two levels in terms of the error seriousness, and propose an feature matching method for each level by using path-searching. Our method employs extended standard motion features that include error features deformed slightly. Owing to the employment, our detection system extracts motion errors and determines their level simultaneously for realizing real-time error feedback.3.Leaning Control MethodWe propose a memory strategy by phased learning of key features in terms of feature importance and human memory processes. By an experiment of learning sign words, we show that our method is effective in long-term memorizing of the words.
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Learning Support Method of Sign Language Words Focusing on Key Motion Feature
以关键动作特征为重点的手语单词学习支持方法
DOI:
--
发表时间:
2005
期刊:
IEICE Technical Report ET2005-37 Vol.105, No.298
影响因子:
--
作者:
[田中一基, 田中一基, 田中一基, Kazumoto Tanaka, Kazumoto Tanaka]
通讯作者:
Kazumoto Tanaka
Gesture Recognition Based on a Path Searching Method in Weighted Graphs for Focusing on Important Action
基于加权图路径搜索方法的手势识别关注重要动作
DOI:
--
发表时间:
2004
期刊:
Proc. of the 4th International Conference on Computer and Information Technology
影响因子:
--
作者:
[田中一基, 田中一基, 田中一基, Kazumoto Tanaka, Kazumoto Tanaka, Kazumoto Tanaka, 田中一基, 田中一基 他, K.Tanaka, K.Tanaka]
通讯作者:
K.Tanaka
手話学習支援のための動作解析法
支持手语学习的运动分析方法
DOI:
--
发表时间:
2005
期刊:
教育システム情報学会研究報告 Vo1.19 No.5
影响因子:
--
作者:
[田中一基, 田中一基, 田中一基]
通讯作者:
田中一基
Error Motion Detection Method for Learning Sign Language with Video
通过视频学习手语的错误运动检测方法
DOI:
--
发表时间:
2004
期刊:
The Journal of Information and Systems in Education Vol.3 No.1
影响因子:
--
作者:
[田中一基, 田中一基, 田中一基, Kazumoto Tanaka, Kazumoto Tanaka, Kazumoto Tanaka, 田中一基, 田中一基 他, K.Tanaka]
通讯作者:
K.Tanaka
特徴的動作に注目した手話単語学習支援
重点关注特征动作的手语单词学习支持
DOI:
--
发表时间:
2005
期刊:
電子情報通信学会技術研究報告 Vol.105 No.298
影响因子:
--
作者:
[田中一基, 田中一基]
通讯作者:
田中一基
共 8 条
Multiplayer game system for therapeutic exercise in which players with different athletic abilities can participate on an even competitive footing
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批准号:24501226
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项目类别:Grant-in-Aid for Scientific Research (C)
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资助金额:$1.83万
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财政年份:2012
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负责人:TANAKA Kazumoto
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依托单位:
A Virtual Training System for Supporting Tactical Skill Improvement in Martial Arts Match
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批准号:18500744
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项目类别:Grant-in-Aid for Scientific Research (C)
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资助金额:$1.63万
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财政年份:2006
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负责人:TANAKA Kazumoto
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依托单位:
海外基金