A Bimodal Face and Body Gesture Database for Automatic Analysis of Human Nonverbal Affective Behavior
A Bimodal Face and Body Gesture Database for Automatic Analysis of Human Nonverbal Affective Behavior
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DOI：
10.1109/icpr.2006.39
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发表时间：
2006-08
期刊：
影响因子：
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通讯作者：
H. Gunes;M. Piccardi
中科院分区：
文献类型：
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作者：
H. Gunes;M. Piccardi
为了能够开发和测试健壮的情感多通道系统，研究人员需要访问包含人类多通道表达行为的代表性样本的新型数据库。创建这样的数据库需要在定义代表性行为、选择表达方式以及收集和标记大量数据方面做出重大努力。目前，公共数据库只存在于单一表情模式，如面部表情分析。还存在一些静态和动态手势以及动态手势的手势数据库。然而，还没有一个现成的数据库以真正的双峰方式将情感面孔和身体信息结合在一起。因此，在本文中，我们提出了一个由两个高分辨率摄像机同时记录的双峰数据库，用于人类非言语情感行为的自动分析
To be able to develop and test robust affective multimodal systems, researchers need access to novel databases containing representative samples of human multi-modal expressive behavior. The creation of such databases requires a major effort in the definition of representative behaviors, the choice of expressive modalities, and the collection and labeling of large amount of data. At present, public databases only exist for single expressive modalities such as facial expression analysis. There also exist a number of gesture databases of static and dynamic hand postures and dynamic hand gestures. However, there is not a readily available database combining affective face and body information in a genuine bimodal manner. Accordingly, in this paper, we present a bimodal database recorded by two high-resolution cameras simultaneously for use in automatic analysis of human nonverbal affective behavior