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Computer Vision for Affective Computing

机译:情感计算的计算机视觉

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Abstract. Over the past decade we have observed an increasing interest in developing technologies for automatic emotion recognition. The capacity of automatically recognizing emotions has many applications in environments where machines need to interact and collaborate with humans. However, how can machines recognize emotions? In this tutorial we gave an introduction to affective computing (also known as emotional artificial intelligence), the discipline that studies and develops systems and devices that can recognize, interpret, process, or simulate emotions or feelings. After a general introduction to affective computing, we focused on techniques for emotion recognition, paying special attention to the problem of emotion recognition from images. We reviewed some research on emotion recognition based on face and body analysis and we discussed the importance of analyzing scenes and context, in addition to faces, in order to better recognize emotions. In particular, we showed how emotion recognition can be approached from a scene understanding perspective.
机译:抽象的。在过去的十年中,我们发现对开发自动情感识别技术的兴趣日益浓厚。在机器需要与人类进行交互和协作的环境中,自动识别情绪的能力在许多应用中得到了应用。但是,机器如何识别情绪?在本教程中,我们介绍了情感计算(也称为情感人工智能),这是研究和开发可以识别,解释,处理或模拟情感或感觉的系统和设备的学科。在全面介绍了情感计算之后,我们将重点放在情感识别技术上,特别注意图像中的情感识别问题。我们回顾了一些基于面部和身体分析的情感识别研究,并讨论了除了面部之外分析场景和上下文的重要性,以便更好地识别情感。特别是,我们展示了如何从场景理解的角度进行情感识别。

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