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Emotion Recognition Based Emoji Retrieval Using Deep Learning

机译:基于情感识别的Emoji检索利用深度学习

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Facial expression is a verbal act of speech that is expressed on the face in terms of our emotions. Emotional recognition to identify facial expression plays crucial role in various applications like psychology, linguistics etc. Playing an important role in the fields of artificial intelligence and robotics, the automatic recognition of facial expression is therefore a need for generation. Emotion recognition plays an important role in the area of human machine communication. Emotional recognition is usually done in four stages which include pre-processing, facial recognition, feature extraction, and classification. In this paper, we have used deep learning to identify the seven main human emotions: anger, disgust, fear, happiness, sadness, surprise and neutrality.
机译:面部表情是一种口头言论,即在我们的情绪方面表达。 识别面部表情的情感认识在心理学,语言学等等各种应用中起着至关重要的作用。因此,对面部表情的自动识别需要一代。 情感识别在人机通信领域起着重要作用。 情绪识别通常在四个阶段完成,包括预处理,面部识别,特征提取和分类。 在本文中,我们使用深入学习来识别七个主要的人类情绪:愤怒,厌恶,恐惧,幸福,悲伤,惊喜和中立。

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