Automated Identification of Human Emotions by Gestures and Poses

A. Zaboleeva-Zotova, A. S. Bobkov, V. Rozaliev, A. B. Petrovsky
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引用次数: 8

Abstract

The paper describes a methodology, models and automated system for an identification of human emotions based on analysis of body movements, a recognition of characteristic gestures and poses. In the model of person emotions, the typical body movements are formalized with linguistic variables and fuzzy hyper graphs for temporal events. Emotional states of the real person recognized with the automated system are presented in a limited natural language.
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通过手势和姿势自动识别人类情绪
本文描述了一种基于身体动作分析、特征手势和姿势识别的人类情绪识别的方法、模型和自动化系统。在人的情绪模型中,典型的身体动作用语言变量和时间事件的模糊超图形式化。通过自动化系统识别的真人的情绪状态以有限的自然语言呈现。
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