Introducing the Geneva Multimodal Expression Corpus for Experimental Research on Emotion Perception
Introducing the Geneva Multimodal Expression Corpus for Experimental Research on Emotion Perception
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DOI：
10.1037/a0025827
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发表时间：
2012-10-01
期刊：
影响因子：
4.2
通讯作者：
Scherer, Klaus R.
中科院分区：
文献类型：
--
作者：
Baenziger, Tanja;Mortillaro, Marcello;Scherer, Klaus R.
在心理学和神经科学中，对面部和声音中情感表达的感知的研究正在爆炸式增长。和情感计算。本文概述了一些主要的情感表达（EE）语料库，目前可用于实证研究，并介绍了一个新的，动态的，多模态语料库的情感表达，日内瓦多模态情感肖像核心集（GEMEP-CS）。语料库的设计特点概述和理由，并提出和讨论了详细的验证数据的核心集的选择。最后，一个相关的数据库与微编码的面部，声音和身体动作元素，以及观察员评级，介绍。
Research on the perception of emotional expressions in faces and voices is exploding in psychology, the neurosciences. and affective computing. This article provides an overview of some of the major emotion expression (EE) corpora currently available for empirical research and introduces a new, dynamic, multimodal corpus of emotion expressions, the Geneva Multimodal Emotion Portrayals Core Set (GEMEP-CS). The design features of the corpus are outlined and justified, and detailed validation data for the core set selection are presented and discussed. Finally, an associated database with microcoded facial, vocal, and body action elements, as well as observer ratings, is introduced.