Emotion Classification Using a Tensorflow Generative Adversarial Network Implementation

Emotion Classification Using a Tensorflow Generative Adversarial Network Implementation

The detection of human emotions has applicability in various domains such as assisted living, health monitoring, domestic appliance control, crowd behavior tracking real time, and emotional security. The paper proposes a new system for emotion classification based on a generative adversarial network...

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Bibliographic Details
Main Authors: Traian Caramihale, Dan Popescu, Loretta Ichim
Format: Article
Language:English
Published: MDPI AG 2018-09-01
Series:Symmetry
Subjects:
generative adversarial network
emotion classification
facial key point detection
facial images processing
convolutional neural networks
Online Access:http://www.mdpi.com/2073-8994/10/9/414

Internet

http://www.mdpi.com/2073-8994/10/9/414

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