基于卷积神经网络的面部情绪识别

2019 IEEE 13th International Conference on Application of Information and Communication Technologies (AICT) Pub Date : 2019-10-01 DOI:10.1109/AICT47866.2019.8981757

Z. Rzayeva, Emin Alasgarov

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引用次数: 7

摘要

面部情感识别是机器学习领域中发展迅速的分支之一。在本文中，我们提出了基于卷积神经网络的模型，该模型是在Cohn-Kanade和RAVDESS数据集上训练的。该模型在上述数据集上的宏观面部情绪检测取得了令人满意的结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Facial Emotion Recognition using Convolutional Neural Networks

Facial emotion recognition is one of the promptly developing branches within the machine learning domain. In this paper, we are presenting our model based on Convolutional Neural Networks, which is trained on Cohn-Kanade and RAVDESS datasets. The proposed model gets satisfactory results in detecting macro facial emotions on the aforementioned datasets.

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2019 IEEE 13th International Conference on Application of Information and Communication Technologies (AICT)

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