Gestural cue analysis in automated semantic miscommunication annotation.
Gestural cue analysis in automated semantic miscommunication annotation.
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DOI：
10.1007/s11042-010-0701-1
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发表时间：
2012-11-01
影响因子：
3.6
通讯作者：
Furuyama N
中科院分区：
文献类型：
--
作者：
Inoue M;Ogihara M;Hanada R;Furuyama N
基于语义误传播标签的会话视频自动标注是一个具有挑战性的课题。尽管说话人和观察者往往很明显地存在通信错误，但机器很难从低层特征中检测到它们。在本文中，我们考察了手势暗示在各种非语言特征中的作用。与人机交互中的手势识别任务相比，由于缺乏对哪些线索导致沟通错误和手势含蓄的理解，这一过程是困难的。从手势数据中提取9个简单的手势特征，并使用机器学习构建简单和复杂的分类器。实验结果表明，在我们的环境中，没有单一的手势特征可以预测或解释语义错误的发生。
The automated annotation of conversational video by semantic miscommunication labels is a challenging topic. Although miscommunications are often obvious to the speakers as well as the observers, it is difficult for machines to detect them from the low-level features. We investigate the utility of gestural cues in this paper among various non-verbal features. Compared with gesture recognition tasks in human-computer interaction, this process is difficult due to the lack of understanding on which cues contribute to miscommunications and the implicitness of gestures. Nine simple gestural features are taken from gesture data, and both simple and complex classifiers are constructed using machine learning. The experimental results suggest that there is no single gestural feature that can predict or explain the occurrence of semantic miscommunication in our setting.
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影响因子：
6.4
作者：
Meservy, TO;Jensen, ML;Metaxas, DN
通讯作者：
Metaxas, DN
影响因子：
3.6
作者：
Alatan, AA;Akansu, AN;Wolf, W
通讯作者：
Wolf, W
影响因子：
8.1
作者：
Takeuchi, Hironori;Subramaniam, L. Venkata;Roy, Shourya
通讯作者：
Roy, Shourya
影响因子：
3.7
作者：
SUCHMAN, L;JORDAN, B
通讯作者：
JORDAN, B
DOI：
10.1145/1961189.1961199
发表时间：
2011-01-01
影响因子：
5
作者：
Chang, Chih-Chung;Lin, Chih-Jen
通讯作者：
Lin, Chih-Jen