基于深度学习技术的人类面部表情识别

S. Harshitha, N. Sangeetha, Asenath P Shirly, C. D. Abraham
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引用次数: 3

摘要

通过静态图像从面部表情中识别情绪。它是信号处理的一个范畴,应用于各个领域,同样适用于人机交互。提出了利用机器学习方法实现情绪自动识别的一些方法。深度学习技术已经解决了许多实时问题。在这项工作中,我们定义了卷积神经网络(CNN)用于识别6种基本情绪,并在MATLAB中实现了该技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Human facial expression recognition using deep learning technique
The emotion is recognized from facial expression by using static images. It is one of the categories in signal processing which is applied in various fields, similarly for human and computer interaction. Some sources are proposed to automatic emotion recognition, which uses machine learning approach. Many real-time problems have been solved by Deep learning technique. In this work we have defined Convolutional Neural Network (CNN) is used to identify 6 elementary emotions this technique has been implemented in MATLAB.
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